Structure–Diversity Relationships in Parasitoids of a Central European Temperate Forest
Chair of Forest Protection, Technische Universität Dresden, 01737 Tharandt, Germany
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Author to whom correspondence should be addressed.
Forests 2026, 17(1), 106; https://doi.org/10.3390/f17010106
Submission received: 10 December 2025
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Revised: 6 January 2026
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Accepted: 8 January 2026
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Published: 13 January 2026
(This article belongs to the Special Issue Biological Control and Management of Tree Diseases and Insect Pests in Forests)
Abstract
Parasitoids are key natural antagonists of forest insect pests and are gaining importance in integrated forest protection under increasing climate-related disturbances. This study aimed to quantify the influence of vegetation diversity and canopy structure on the abundance and diversity of the overall insect community responses to vegetation structure and to provide an ecological context. Second, detailed analyses focused on three focal parasitoid families (Braconidae, Ichneumonidae, Tachinidae), which are of particular relevance for integrated forest protection due to their central role in integrated forest protection and in pesticide-free regulation approaches for risk mitigation in forest ecosystems. Malaise traps were deployed at eight randomly selected broadleaf and coniferous sites, and insect samples from six sampling dates in summer 2024 were analyzed. The sampling period coincided with the full development of woody and vascular plants, representing the phase of highest expected activity of phytophagous insects and associated parasitoids. Vegetation surveys (Braun–Blanquet), canopy closure, and canopy cover were recorded for each site. Across all samples, five arthropod classes, 13 insect orders, and 31 hymenopteran families were identified, with pronounced site-specific differences in community composition and abundance. Our results suggest that broadleaf-dominated sites, characterized by higher plant species richness and greater structural heterogeneity, support a more diverse assemblage of phytophagous insects, thereby increasing host availability and niche diversity for parasitoids. Parasitoid communities generally showed higher diversity at broadleaf sites. Spearman correlations and multiple linear regressions revealed a strong negative relationship between canopy cover and total insect abundance ρ (Spearman’s rank correlation coefficient (Spearman ρ = −0.72, p = 0.042; p = 0.012, R2 = 0.70), R2 (coefficient of determination), whereas parasitoid diversity (Shannon index) and the relative proportion of Ichneumonidae were positively associated with canopy cover (ρ = 0.85, p = 0.008). In addition, canopy cover had a significant positive effect on overall insect diversity (Shannon index; p = 0.015, R2 = 0.63). Time-series analyses revealed a significant seasonal decline in parasitoid abundance (p < 0.001) and parasitoid diversity (p = 0.018). Time-series analyses revealed seasonal dynamics characterized by fluctuations in parasitoid abundance and diversity and a general decrease over the course of the sampling period. The findings demonstrate that structurally diverse mixed forests, particularly those with a high proportion of broadleaf trees mixed forests with heterogeneous canopy layers can enhance the diversity of specialized natural enemies, while dense canopy cover reduces overall insect abundance. These insights provide an ecological basis for silvicultural strategies that strengthen natural regulation processes within integrated forest protection.
1. Introduction
Forests in Central Europe are increasingly affected by climate-driven disturbances such as prolonged droughts, storms, and severe insect outbreaks, which collectively reduce forest resilience [1]. Managed forests are especially vulnerable, as many stands remain dominated by monocultures or site-inappropriate species such as Picea abies or Pinus sylvestris [2]. Current silvicultural programs therefore emphasize the establishment of structurally diverse mixed forests to enhance stability under future climatic conditions [3]. Nevertheless, pest outbreaks—such as those of Ips typographus or, for example, Lymantria monacha, Pityogenes chalcographus, Thaumetopoea processionea, Diprion pini or Agrilus planipennis—are expected to continue, as species mixtures can reduce but not eliminate outbreak intensity [4,5]. Natural antagonists are central to integrated forest protection, particularly where chemical control is limited [6]. Insects of the orders Coleoptera, Hymenoptera, and Diptera play key roles [7], operating through functional, aggregative, or numerical responses [8,9,10]. Parasitoids are especially effective due to their numerical response to host population dynamics, enabling strong suppressive effects on forest pests [11]. Habitat structure strongly influences parasitoid success. Vegetation diversity and canopy characteristics shape microclimatic conditions, host availability, and movement patterns, thereby affecting parasitoid community composition. Structurally heterogeneous forests support both greater functional diversity and improved foraging efficiency of parasitoids, as structural complexity has been shown to influence parasitoid aggregation and host-finding behaviour in field experiments [12,13,14]. In Central Europe, the most relevant families—Ichneumonidae, Braconidae, and Tachinidae—exhibit diverse host associations and include species capable of substantially reducing pest populations [7,15]. Although the regulatory effects of parasitoids are well documented [16,17,18,19,20], comparatively little is known about how vegetation diversity and canopy structure influence parasitoid abundance and diversity in temperate forests. Addressing this gap is essential for integrating natural enemy conservation into adaptive forest management.
Forest ecosystems in Central Europe comprise a wide range of stand structures shaped by tree species composition, management history, and canopy configuration. Broadleaf-dominated and mixed forest stands typically exhibit higher structural complexity, multi-layered canopies, and greater heterogeneity in light and microclimatic conditions than conifer-dominated stands, which are often more uniform in structure and canopy organization [5]. Such differences in forest structure are known to influence arthropod communities by affecting resource availability, host diversity, and microhabitat conditions, with potential consequences for parasitoid abundance and diversity [13]. Against this background, this study examines how vegetation composition, canopy closure, and stand structure affect parasitoid communities in the Tharandt Forest. By linking Malaise trap catches with detailed vegetation surveys and canopy metrics, it assesses how variation in forest structural attributes shapes the ecological potential of parasitoids within integrated forest protection strategies. Due to the lack of baseline data and challenges in species-level identification for many insect groups, this study takes an exploratory approach using consistent taxonomic units at the family level to characterize insect and parasitoid diversity patterns.
2. Materials and Methods
Two hypotheses were defined prior to data analysis to structure the methodological approach. H1 (overall insect community): Total insect abundance decreases with increasing canopy cover and canopy cover, reflecting reduced activity and resource availability under denser canopy conditions, measured at the family level. H2 (parasitoid community): The total abundance of parasitoid individuals, irrespective of family affiliation, is influenced by variation in canopy closure and tree species composition. Parasitoid community structure responds differently to forest structure, with parasitoid diversity and the relative proportion of parasitoids increasing with increasing canopy cover, while absolute parasitoid abundance may remain stable or decline. To test these hypotheses, arthropods were sampled systematically using Malaise traps, and vegetation structure was quantified using standardized vegetation surveys and canopy measurements. Insect specimens were identified following established taxonomic procedures. Diversity indices and dissimilarity metrics were calculated, and statistical analyses were applied to assess relationships between vegetation structure and insect community parameters. H1 was supported by Spearman/Regression on total abundance, and H2 was supported by Shannon index and relative proportion analyses. Forest structure was characterized using three canopy-related metrics: canopy closure, canopy cover, and overstory cover. Canopy closure was defined as the proportion of the sky hemisphere obscured by the tree canopy when viewed from the forest floor and was estimated as a continuous variable ranging from 0 (completely open) to 1 (fully closed). Canopy cover describes the degree to which the sampling location was vertically shaded by overstory vegetation, reflecting local light limitation at trap height. Overstory cover refers to the horizontal cover of the tree layer within the surrounding stand area. All variables were visually estimated following standard forest stand description procedures and represent proxies for light availability and microclimatic buffering relevant to arthropod communities. The following sections describe the sampling design, identification procedures, vegetation measurements, diversity calculations, and statistical models in detail.
2.1. Study Area
The study was conducted in the Tharandt Forest, a long-established forest landscape located in the eastern Ore Mountains near Dresden (Saxony, Germany). The forest is part of the Central European low mountain range and covers approximately 6000 hectares. It is characterized by a temperate climate with mean annual temperatures of 8.2 °C and average annual precipitation ranging from 750 to 850 mm. The underlying bedrock primarily consists of granitic and gneiss substrates, resulting in acidic soils such as podzols and cambisols. Historically managed for timber production for over 400 years, the Tharandt Forest features a mosaic of coniferous, broadleaf, and mixed stands, with species including Picea abies, Fagus sylvatica, Pinus sylvestris, and Acer pseudoplatanus. Due to its diverse stand structures, management history, and accessibility, the forest has long served as a reference landscape in forestry and ecological research. Today, it offers a representative setting for studying forest biodiversity patterns in Central European temperate mixed forests under managed conditions.
The study was conducted in the western part of the Tharandt Forest in Saxony, Germany, within an area of approximately 31 ha. The site ranges from 415 to 425 m a.s.l. (above sea level) and is divided by the E-Flügel forest road into a predominantly broadleaf-dominated southern section and a conifer-dominated northern section. The terrain is largely flat in the north and slightly south-facing in the southern part.
2.2. Sampling Design and Trap Setup
Eight Malaise traps (custom-built, following the standard Townes design) were used, with one trap installed at each of the eight study sites, which were selected at random (Figure 1), with four located in broadleaf stands and four in coniferous stands. Minimum distances of 100 m between traps and 50 m from forest roads or pathways were maintained to avoid spatial autocorrelation and edge effects. At each site, a Malaise trap was installed and oriented with the collecting head facing south to standardize light-guided insect movement. Traps were operated continuously from early June to early September 2024. The traps were emptied at regular weekly intervals on the same day of the week throughout the entire sampling period. The selected 10 × 10 m vegetation plots were situated in structurally homogeneous areas directly surrounding the traps. Given the uniformly flat terrain, consistent stand structure, and recurring tree species composition within each site, these plots are considered representative of the local microhabitat conditions relevant for insect sampling.
Following the initial classification of trap locations into broadleaf-dominated (LH) and conifer-dominated (NH) sites (NH [Northern habitat section: Coniferus-dominated], LH [Broadleaf dominates habitat section]), based on the dominant tree species composition within the surrounding stand, a detailed stand description of the tree layer was conducted within an area of approximately 2500 m2 at each site. Stand classification was derived from the relative proportion of broadleaf and coniferous tree species, following standard forest stand description procedures commonly applied in Central European forest inventories. Stand classification includes systematic recording of tree species composition, diameter classes, and canopy measurements. The concept of a forest stand and its structural attributes, as defined in conventional forestry practice, guided the delineation of broadleaf versus coniferous stands in this study. This subsequent stand assessment revealed that, contrary to the initial classification, some sites assigned to the broadleaf category were locally dominated by coniferous tree species. This was particularly the case at sites LH1 and LH3, where the proportion of broadleaf trees amounted to 20% and 30%, respectively (Figure 2). Sites LH2 and LH4 show a broadleaf proportion of 60% and 70%, respectively. All coniferous sites consist exclusively of coniferous tree species. The initial classification of stands into “broadleaf” or “conifer-dominated” was based on forest inventory maps. However, subsequent vegetation surveys revealed that some stands—such as LH1 and LH3—contained a notable proportion of coniferous trees despite being classified as broadleaf. To account for this, we additionally quantified the proportion of conifers at each site and used this continuous variable in exploratory analyses. Stand structural characteristics varied only marginally among the sampling sites, with NH1 being the sole location exhibiting a single-layered stand structure. Tree diameter classes were defined based on the diameter at breast height (DBH). Trees with a DBH < 25 cm were classified as small-diameter timber, whereas trees with a DBH > 50 cm were classified as large-diameter timber. These diameter classes follow commonly applied forest stand description conventions used in Central European forestry and forest inventory practice. Growth classes at the broadleaf sites were generally higher than those observed at the coniferous sites. At LH1, LH2, and LH3, European beech occurred within the large-diameter timber class, whereas the coniferous sites—except for NH2—contained trees predominantly within the small-diameter timber class. To ensure comparability across sites, all forest stands were classified according to a standardized forest typology based on management data and in situ assessments. Parameters recorded included dominant tree species, canopy closure, and average diameter at breast height (DBH). While plots were initially categorized as broadleaf- or conifer-dominated based on management records, subsequent vegetation surveys revealed mixed species compositions in some areas. For example, conifer dominance occurred locally within nominally broadleaf stands (e.g., LH1, LH3), reflecting the small-scale heterogeneity typical of managed Central European forests. These conditions were explicitly documented and are reflected in the species-level composition tables and structural descriptions provided.
Malaise traps were placed in the interior of forest stands, avoiding immediate edges and large gaps. Each trap was accompanied by a vegetation plot (10 × 10 m), capturing local canopy composition, vertical stratification, and undergrowth presence. While these plots provide a representative snapshot of the immediate trap environment, they are not intended to reflect landscape-level botanical diversity. Although detailed stand age data were not systematically recorded, structural proxies such as vertical layering and canopy openness indicate age-related heterogeneity. Differences in stand development stages were thus indirectly captured and are considered in the interpretation of insect community patterns.
2.3. Arthropod Collection and Identification
The Malaise traps custom-built, following the standard Townes design (Figure 3) were emptied, inspected, and reset on a weekly basis between 4 June 2024 and 2 September 2024. In total, 8 trap extractions were carried out at each of the eight sites. Collected arthropods were preserved in high-concentration ethanol (≥95%), in Wide-neck bottle, fluoropolymer, 100 mL, from Saint-Gobain and sorted in the laboratory in Benzoic acid (benzoic acid, powdered, 99.5% pure) CAS No. 65-85-0 in saturated solution. The subsampling was performed using a defined area of 4 cm × 4 cm from the ethanol-filled bottom of the collection jar, which corresponded to approximately 1/20th of the total sample sediment area. Abundances were scaled to estimate total counts per sample based on this proportion. Identifications were carried out using a Carl Zeiss Stemi 508 doc stereomicroscope. Insects were identified using a binocular microscope at magnifications up to 40×. Hymenoptera were identified to family or superfamily level using standard dichotomous keys [21]. Diptera were identified to the suborder, and Tachinidae [22,23] were further determined to species level when key morphological characters were present. Other insect taxa were identified to order, and non-insect arthropods to class. Individuals lacking essential diagnostic structures (e.g., missing heads) were counted only if an accurate determination was still possible. Detached heads were not counted to prevent double-counting. Due to their high abundance, Nematocera and Collembola [24] were estimated by counting individuals within a defined subsample area and scaling to the total sample area. Taxonomic resolution varied between groups, with most identifications conducted at the family or superfamily level. While some groups allowed for finer identification, such as Tachinidae, species-level resolution was not uniformly attainable. Therefore, all further analyses were standardized at the family level to ensure comparability across samples and taxa.
2.4. Vegetation Survey
Vegetation was recorded once per site at the beginning of the study within a 10 m × 10 m plot centered on each Malaise trap. Species presence and cover were assessed in the tree, shrub, herb, and moss layers following the Braun–Blanquet scale [25]. Cover classes were converted to midpoints of their respective percentage ranges to allow quantitative comparison. When a plant species occurred in multiple vegetation layers, the total cover was calculated as the sum of layer-specific midpoints. Canopy closure and canopy cover (understory shading) were visually estimated as continuous variables ranging from 0 (no cover) to 1 (complete cover).
2.5. Diversity Metrics
Insect and vegetation diversity were quantified using the Shannon index. For insects, all individuals identified to family or superfamily were included. The Shannon Index was selected as the primary diversity measure because it effectively accounts for both the richness and evenness of taxa within samples. Given the varying levels of taxonomic resolution (mainly family or superfamily level), the index provides a stable and interpretable metric that is well-suited for comparing insect community structure across structurally diverse forest stands. For vegetation, the index was calculated from the adjusted Braun–Blanquet cover values.
2.6. Statistical Analyses
Because canopy cover produced the most consistent model performance and directly reflects near-ground shading conditions, it was selected as the primary structural predictor in regression and canonical analyses. All statistical analyses were conducted in R version 4.4.0 (24 April 2024) [26] with RStudio 2024.09.0+375 [27]. A significance level of α (significance level): α = 0.05 was applied for all statistical tests. All diversity indices and multivariate analyses e.g., PCoA (Principal Coordinates Analysis), NMDS (Non-metric Multidimensional Scaling) were based on taxonomic groupings at the family or superfamily level. Species-level identification was not feasible across most taxa and was therefore not used as a basis for community-level statistical comparisons. This consistent taxonomic framework ensures comparability across sites and analyses. As a measure of insect and vegetation diversity, the Shannon index was calculated [28]. For this purpose, the R package vegan version 2.7-1 [29] was used [29]. The indices were calculated according to the following Formula (1) Shannon diversity index (H′):
where pi represents the relative abundance of species i, where ni is the number of individuals of taxa i, and N is the total number of individuals across all taxa.
H′ = −∑ pi ln(pi), pi = ni/N
To illustrate overarching seasonal trends in insect activity across trap locations, mean values were calculated for each taxonomic group at each sampling interval. This aggregation was chosen to smooth site-specific fluctuations and highlight general phenological patterns in community dynamics. To reflect temporal variability and ensure interpretability, standard deviations were included in the figures as measures of sampling dispersion. The Shannon index for insects was calculated for each of the eight sites and each of the six sampling dates, based on all individuals identified to family or superfamily level. To ensure comparability of vegetation cover values according to Braun–Blanquet, the range associated with each category was averaged. If a species occurred in multiple vegetation strata, the mean cover values across strata were summed so that each species was represented only once. Using the resulting decimal cover values, the Shannon index for vegetation was calculated. Forest structure was characterized using four canopy-related metrics, all visually estimated as continuous variables ranging from 0 (no cover) to 1 (complete cover), following standard forest stand description procedures. Canopy closure describes the proportion of the sky hemisphere obscured by the tree canopy when viewed from the forest floor and represents a hemispherical measure of canopy density. Canopy cover refers to the horizontal cover of the tree crown layer and reflects the extent of near-ground shading and microclimatic buffering. Overshading describes the vertical shading of the sampling location by overstory vegetation at trap height and represents a direct proxy for local light limitation experienced by flying insects. Crown cover (overstory cover) denotes the horizontal cover of the dominant tree layer within the surrounding stand area and largely overlaps conceptually with canopy cover. To compare community composition among sites, Bray–Curtis dissimilarities were calculated using abundance data of all identified insect families. To examine differences in insect catches among the eight sites, Bray–Curtis dissimilarity was used as a measure of compositional dissimilarity, where a value of 1 indicates complete dissimilarity and a value of 0 indicates identical composition. The index was calculated according to the following Formula (2):
where nij is the number of individuals of species i at site j, and nik is the corresponding number at site k. All individuals identified to the family or subfamily level were included in the analysis. Dissimilarity matrices were visualized as heatmaps for each sampling date. To assess relationships between vegetation parameters and insect metrics, mean values across the six sampling dates were calculated for each site. Because all correlation, regression, and canonical analyses were conducted on site-level mean values (n = 8 sites), these analyses are interpreted as exploratory and hypothesis-generating. The small sample size limits statistical power and the stability of parameter estimates; therefore, effect sizes and ordination patterns are used to describe observed associations rather than to infer definitive relationships. Spearman rank correlations [30] were used because several variables were not normally distributed. Multiple linear regression models were applied to test the combined influence of vegetation diversity and canopy variables on insect abundance, diversity, and the relative contribution of parasitoid families. Residuals were tested for normality (Shapiro–Wilk) and homoscedasticity (Breusch–Pagan). Canopy closure and canopy cover were tested for multicollinearity; due to strong correlation, they were not included in the same model. Because canopy cover yielded the most consistent relationships across correlation, regression, and canonical analyses and directly reflects near-ground shading conditions relevant to insect flight activity and microclimate, it was selected as the primary structural predictor in multiple linear regressions and canonical correlation analyses. Other canopy-related metrics were therefore evaluated only separately to avoid multicollinearity. For cases where Shannon indices equaled zero due to the absence of parasitoids, those sampling points were removed to ensure model validity. Finally, a canonical correlation analysis was performed between the insect parameters (Shannon index, total abundance, and relative proportion of parasitoids) and the vegetation parameters (Shannon index, canopy closure, and overstory cover) in order to examine all parameters simultaneously and to visualize their relationships independently of multicollinearity [31]. This analysis was conducted using the canonical correlation analysis (CCA) CCA package [32]. Canopy closure and canopy cover were strongly correlated (Spearman’s ρ > 0.7) and were therefore not included simultaneously in statistical models to avoid multicollinearity.
dBC = ∑ |nij − nik|/∑ (nij + nik)
2.7. Time-Series Analyses
To qualitatively assess temporal dynamics of parasitoid abundance, time series were generated for the families Braconidae, Ichneumonidae, and Tachinidae, as well as for their combined abundance, across the eight sites and six sampling dates. Because analyses were conducted on site-level mean values (n = 8 sites), all correlation, regression, and canonical analyses are interpreted as exploratory and hypothesis-generating. The small sample size limits statistical power and the stability of parameter estimates; therefore, effect sizes and ordination patterns are reported to describe observed associations rather than to infer definitive relationships. Time-series patterns in parasitoid abundance and diversity were analyzed using linear mixed-effects models with sampling date as a fixed effect and site as a random factor. To illustrate site-independent trends, an additional plot based on mean values across all sites was produced. Temporal patterns in parasitoid diversity were examined by calculating the Shannon index for each site and sampling date according to Equation (1), considering only Braconidae, Ichneumonidae, and Tachinidae. These results were visualized separately for each site and subsequently as mean values across sites.
For statistical evaluation of the time series, linear mixed-effects models (LMMs)/ generalized linear mixed models (GLMMs) were fitted using the packages lme4 [33] and lmerTest [34]. Total parasitoid abundance and the Shannon index were used as dependent variables, with sampling date as a fixed effect and site as a random effect. Assumptions of normality and homoscedasticity of residuals were assessed using the Shapiro–Wilk and Breusch–Pagan tests, respectively (Table 1). Because the Shannon-index model was non-normal due to several zero values, all observations with a Shannon index of 0 were excluded. As homoscedasticity could not be confirmed for abundance, the same exclusion criterion was applied. These excluded cases primarily represented situations in which at least two of the three parasitoid families were absent.”
3. Results
3.1. Taxonomic Composition and Overall Abundance
Across the 48 processed samples, five arthropod classes, 13 insect orders, 31 hymenopteran families, and one dipteran family were identified. No site contained all five arthropod classes; instead, three to four classes were recorded per site (Appendix A). All 13 insect orders occurred at the deciduous forest sites LH2 and LH4. Site LH3 exhibited the highest family-level richness, with 26 hymenopteran families and the presence of Tachinidae. In contrast, NH4 contained only 21 hymenopteran families and no Tachinidae. Total arthropod abundance varied markedly among sites, ranging from 2669 individuals at NH2 to 12,001 individuals at LH3. Diptera (Nematocera) represented the most abundant group at all sites, with LH3 reaching 6833 individuals and NH2 the lowest number with 719 individuals. While the core focus of the study lies on parasitoid taxa, the full Malaise trap catches were initially processed to provide context on the overall arthropod community. This included representatives of five arthropod classes, which are visualized to illustrate the general taxonomic spectrum and sampling completeness. The parasitoid-specific analyses were then conducted on a defined subset of families and superfamilies within the order Hymenoptera and Diptera.
3.2. Abundances of Dominant Hymenopteran Families
Although the central aim of the study is to investigate parasitoid communities, presenting the most abundant Hymenopteran families serves an important contextual purpose. The order Hymenoptera includes both parasitic and non-parasitic taxa, and dominance patterns within this order provide insight into potential ecological interactions, competitive dynamics, or sampling biases that may influence the representation of parasitoids. Identifying dominant families also helps distinguish true parasitoid-dominated assemblages from samples where other functional groups—such as Formicidae (ants) or Apidae (bees)—may numerically dominate but are ecologically distinct. This separation is crucial for interpreting abundance data and evaluating the relative contribution of parasitoids within the broader Hymenopteran context. The most frequently recorded hymenopteran family across sites (Figure 4) was Diapriidae, except at NH1 and NH2. LH3 exhibited the highest Diapriidae abundance (1063 individuals), while NH2 showed the lowest (34 individuals) (Appendix Table A1). Formicidae dominated the hymenopteran assemblages at NH1 and NH2 (93 and 86 individuals, respectively). However, the highest absolute abundance of Formicidae was observed at NH4 (267 individuals), whereas LH4 recorded the lowest value (7 individuals). The superfamily Chalcidoidea occurred predominantly at deciduous sites, with LH3 showing the highest abundance (281 individuals). NH2 exhibited the lowest abundance of Chalcidoidea (19 individuals). The parasitoid families Braconidae and Ichneumonidae showed pronounced spatial differences: LH3 recorded the highest abundances for both families (158 and 278 individuals), whereas NH2 showed the lowest counts (30 and 61 individuals, respectively).
3.3. Occurrence and Identification of Tachinidae
A total of 24 Tachinidae individuals were collected, of which 19 could be identified to species level. Remaining individuals lacked essential diagnostic structures such as legs or wing elements. The most frequently encountered species was Parasetigena silvestris, Robineau-Desvoidy, 1863, detected three times on 1 July 2024 at sites LH1, LH2, and LH3. Oswaldia eggeri Brauer & Bergenstamm, 1889, Medina collaris Fallén, 1820, and Lophosia fasciata, Meigen, 1824 were each recorded twice. All remaining species occurred only once. No Tachinidae were detected at sites NH1 or NH4 (Table 2).
3.4. Statistical Analysis
3.4.1. Variation in Species Composition Among Sites
The Bray–Curtis dissimilarity heatmaps revealed clear patterns of spatial heterogeneity in species composition across all sampling dates. At the first sampling date, 24 June 2024 (Figure 5), the highest compositional dissimilarity was observed between NH2 and LH2 (0.8484). Comparable values were recorded for several additional site pairs, including NH2–LH3, NH1–LH2, NH1–LH3, NH4–NH1, and NH4–NH2, all with dissimilarities of approximately 0.8. The most similar communities occurred between LH3 and LH2 (0.1656) and between NH3 and LH1 (0.2043). Dissimilarities in the intermediate range (0.2–0.5) indicated moderate differentiation among most remaining site pairs, while values between 0.5 and 0.8 reflected more pronounced, yet not extreme, compositional differences. By the second sampling date (22 July 2024; Figure 6), the number of strongly divergent site combinations had decreased substantially. Only two comparisons exceeded a dissimilarity of 0.8—NH2–LH3 (0.8958) and NH2–LH2 (0.8760). At the same time, fewer site pairs exhibited high similarity; the lowest observed dissimilarity was between NH4 and NH1 (0.3187), indicating moderate differentiation. The remaining site combinations predominantly displayed moderate to intermediate levels of dissimilarity, suggesting a temporary convergence in community structure during mid-summer.
At the final observation date on 26 August 2024, only one site combination, NH2 × LH2, exhibited a very high dissimilarity (0.9099; Figure 7). All other combinations showed moderate to moderately large differences. The highest similarity was observed between NH3 and LH1, with a dissimilarity value of 0.3333.
3.4.2. Correlations Between Insect Parameters and Vegetation Parameters
The results of the Spearman correlation analysis indicate significant associations among several parameters (Figure 8). Total abundance across all Hymenoptera families or subfamilies and Tachinidae showed a significant correlation with canopy closure and overstory cover (p = 0.0422). The rank correlation coefficient (ρ = −0.7243) indicates a negative relationship between these variables. Overshading showed correlation patterns comparable to canopy closure; however, canopy cover was used in subsequent regression and canonical analyses as a representative proxy for shading effects due to its higher explanatory consistency. It should be noted that total insect abundance was strongly influenced by highly abundant non-parasitoid groups, particularly Nematocera and Collembola. Consequently, patterns observed for total insect abundance primarily reflect responses of the overall flying insect fauna rather than parasitoids specifically. Although several canopy-related metrics showed significant correlations with insect parameters, subsequent regression and canonical analyses focused on canopy cover as a representative proxy for canopy-induced shading effects. The relative proportion of Ichneumonidae within total abundance likewise exhibited a significant correlation with canopy closure and overstory cover (p = 0.0080), with ρ = 0.8470 reflecting a strong positive relationship. Similarly, the combined relative proportion of the three parasitoid families (Braconidae, Ichneumonidae, and Tachinidae) showed a significant correlation with canopy closure and overstory cover (p = 0.0176). Although slightly weaker, the effect size (ρ = 0.7979) still indicates a pronounced alignment. For the Shannon diversity index, only a potential trend toward a relationship with canopy closure and overstory cover was detected (p = 0.0596). The effect size (ρ = 0.6874) would suggest a moderately positive correlation.
The multiple linear regressions yielded several significant models for different dependent variables (insect parameters) using the vegetation Shannon index and canopy cover. Regression coefficients are reported with 95% confidence intervals to reflect parameter uncertainty under small n. Models using canopy closure instead of canopy cover did not result in significantly improved model performance. Model 1, predicting the Shannon index of insects, is given by:
Shannoninsects = 2.1879 − 0.2020 × Shannonvegetation + 0.5222 × canopy cover
Canopy cover had a significant positive effect on the insect Shannon index (p = 0.0152). Model 1 explained significantly more variance than the null model, as indicated by the F-statistic (p = 0.0367). In total, approximately 62% of the variance in the insect Shannon index was accounted for (R2 = 0.6268). Model 2 is given by:
Total abundance = 574.10 − 136.28 × Shannonvegetation − 351.45 × canopy cover
With a p-value of 0.0118, canopy cover had a significant negative effect on total insect abundance. The F-statistic (p = 0.0208) indicates that the model explains significantly more variance in total abundance compared with the null model. Approximately 70% of the variance was associated with substantial explained variation in this small site-level dataset (adj. R2 = 0.7028), but estimates should be interpreted cautiously given n = 8. The third significant model, with an F-statistic p-value of 0.0390, is Model 4 and is expressed as follows:
Rel. Ichneumonidae = 0.0816 + 0.0164 × Shannonvegetation + 0.1019 × canopy cover
Canopy cover has a significantly positive effect on the relative proportion of Ichneumonidae, with a p-value of 0.0171. Overall, the model explains a large share of the variance in the dependent variable, with an R2 of 0.6177.
In contrast to total insect abundance, absolute parasitoid abundance showed no significant relationship with canopy cover, indicating that the observed decline in total abundance under denser canopies was largely driven by non-parasitoid taxa (Table 3).
Overshading showed an opposing orientation consistent with a negative association with total insect abundance (Spearman’s ρ = −0.72, p = 0.042), whereas parasitoid diversity (Shannon index) was positively associated with overshading (ρ = 0.67, p = 0.034). These relationships closely mirrored those obtained for canopy cover, supporting the interpretation of overshading as a correlated proxy for canopy-induced shading effects. These patterns were consistent with results obtained using canopy closure as a structural predictor. The results of the canonical correlation largely align with those of the Spearman correlations and the multiple linear regression models. The orientation of the canopy cover and crown cover vectors indicates that both parameters exert a largely identical effect. Canonical correlation analysis was used as an exploratory visualization of multivariate associations. In line with the correlation and regression results, the ordination suggested that higher canopy cover aligns with higher relative parasitoid representation and insect diversity, whereas total insect abundance points in the opposite direction. Given n = 8, CCA patterns are interpreted qualitatively. Canopy cover, however, shows the longer vector and therefore explains why canonical axis 2 shows a larger loading in this ordination (Figure 9).
3.4.3. Time Series of Parasitoid Abundance and Diversity
The qualitative assessment of the temporal trend in mean parasitoid abundance across all sites (Figure 10) shows an initial increase from 24 June 2024 to 1 July 2024 by approximately 10 individuals (about 17%), reaching a maximum of around 70 parasitoids. By 22 July 2024, abundance had declined by roughly 20 individuals, followed by an additional decrease of about 20 individuals during the subsequent week, resulting in an average of approximately 30 parasitoids on 29 July 2024. Toward the end of the study period, abundance dropped to an average of five individuals on 26 August 2024 (about 7% of the maximum). The temporal patterns of Braconidae, Ichneumonidae, and Tachinidae exhibit similar trends with comparable proportional increases and decreases. Ichneumonidae constitute the largest share of parasitoids (approximately 70%), while Braconidae account for most of the remaining ~28%. Tachinidae contribute less than 2%. At the end of the study period, no tachinid flies and only a few braconids were recorded, resulting in Ichneumonidae exceeding 80% of all parasitoids.
When examining parasitoid abundance separately by site, LH3 and LH4 reach their maximum on 22 July 2024 (Figure 11). This applies to the total abundance as well as to Braconidae (including LH2) and Ichneumonidae. LH3 shows the highest number of individuals and a marked decline of about 40% between 22 July and 29 July. LH2 and NH3 reach their overall maximum already on 24 June 2024; the maxima of Braconidae at LH2 and Ichneumonidae at NH3 occur on 22 July and 1 July, respectively. NH3 exhibits a pronounced drop to approximately 5% of its 1 July value on 22 July, followed by an increase of about 20% by 29 July. NH1 is the only site besides NH3 showing an increase between 22 July and 29 July. After 29 July, no site shows further increases, and all sites decline to roughly 5% of their maximum abundance by the end of the study period. The temporal pattern of the Shannon index across all sites (Figure 11) shows a slight decrease from 24 June 2024 (H′ = 0.6692) to 29 July 2024 (H′ = 0.6040), followed by a moderate decline to 26 August 2024 (H′ = 0.2855). At the site level, LH2, LH3, LH4, and NH3 exhibit comparatively high values toward the end of the study period, whereas all remaining sites show a Shannon index of 0 on 26 August 2024. This pattern explains the increasing SE/SD (standard error/standard deviation) of the mean Shannon values (Figure 12). No site reaches its maximum after 29 July, and overall, the Shannon index declines throughout the study period.
The generalized linear model (Figure 13) shows a highly significant decline in total parasitoid abundance over the study period (p = 1.96 × 10−7). Total parasitoid abundance was calculated as follows: mTotal parasitoid abundance = 69.5186 − 1.0411 × days + (1 | site). The linear mixed model of the parasitoid Shannon index (Figure 14) likewise shows a significant decrease over the study period (p = 0.0179). The model is given by:
Shannon index of parasitoids = 0.6669 − 0.0017 × days + (1 | site)
4. Discussion
4.1. Differences in Capture Among Sites
The Bray–Curtis dissimilarity heatmaps revealed marked differences in the captures of Hymenoptera and Tachinidae across the eight study sites. These differences are likely driven by variation in species composition and vegetation structure resulting from forest management. Similar patterns have been reported for Hymenoptera [35] and for Coleoptera and Diptera [36]. Local microhabitats, such as small water bodies or deadwood structures, may further enhance insect diversity. Positive relationships between deadwood and the diversity or abundance of xylophagous beetles [37,38] suggest that parasitoids associated with these hosts may also reach higher local abundances. Site-specific factors such as exposure and wind protection may influence capture rates. Sheltered sites can accumulate small flying insects [39]. Canopy cover and crown closure modify incoming solar radiation and temperature, which are known to affect insect abundance and diversity [40,41]. Given the random-capture nature of Malaise traps and the limited sample size, part of the observed variation may nonetheless be stochastic. The results partially support Hypothesis 1. While total insect abundance decreased significantly with increasing canopy closure, parasitoid diversity and relative parasitoid proportions responded in the opposite direction, indicating divergent responses between the overall insect community and the parasitoid guild. The collection period began on 4 March to ensure coverage of early-emerging parasitoid taxa, particularly cold-adapted members of Ichneumonidae and Braconidae known to be active in late winter or early spring. While this early start may have influenced relative abundance patterns—especially in the first sampling intervals—it was deemed necessary to capture the full seasonal dynamics of the insect community. We acknowledge that interannual variation in early-season weather conditions could affect phenological comparability in future studies. The observed early peaks in abundance in some taxa likely reflect this expanded sampling window rather than anomalous ecological trends.
4.2. Correlations Between Insect Parameters and Vegetation Variables
Spearman correlation, multiple linear regression, and canonical correlation consistently revealed a strong negative relationship between total parasitoid abundance and canopy cover. Importantly, these effects differ between the overall insect fauna and the focal parasitoid guild. While total insect abundance declined with increasing canopy cover, parasitoid diversity and relative representation increased under more shaded conditions, indicating contrasting ecological responses among insect functional groups. Due to the small sample size, the effect size is necessarily large. Accordingly, these findings should be viewed as site-level patterns that warrant confirmation with larger sample sizes and repeated vegetation assessments. Crown closure was also negatively correlated in most analyses. As canopy cover produced the more consistent patterns and both metrics were strongly correlated, emphasis is placed on canopy cover. Canopy cover better captures temperature-related phenomena, as it directly reflects ground-level shading. Lower canopy cover increases solar radiation and temperature [42], conditions associated with higher insect abundance [37,38]. Potential reductions in abundance due to increased wind speeds in canopy gaps [43] appear minor here, given the small gap sizes. Higher canopy cover increases local humidity, which may suppress flight activity in some taxa; Braconidae, for example, prefer lower humidity [44]. In contrast to total abundance, the relative proportion of Ichneumonidae was strongly positively correlated with canopy cover. This may reflect higher flight activity of Ichneumonidae under humid conditions [44] and possible host preferences for more humid microhabitats [45]. The relative proportion of all parasitoids also increased with canopy cover, driven largely by the dominance of Ichneumonidae. The Shannon index of parasitoids exhibited a strong positive correlation with canopy cover, confirmed by canonical correlation. This pattern suggests that humid, shaded habitats may attract a broader range of parasitoid families. Although this seems to contrast with the higher abundance in more open habitats, divergent ecological requirements among families may reconcile these findings. Hypothesis 2 is largely supported with a total abundance that decreases significantly with increasing overstory cover, a diversity and relative parasitoid proportions increase with overstory cover, and vegetation diversity shows weaker correlations, likely owing to its single-time recording and small sample size. While this pattern is consistent with previous studies suggesting a preference of Ichneumonidae for more humid and shaded microhabitats, it should be interpreted with caution. In the absence of direct microclimatic measurements, this relationship cannot be confirmed mechanistically and is therefore best regarded as a plausible hypothesis rather than a demonstrated causal effect. Future studies incorporating continuous measurements of temperature and humidity would be necessary to disentangle microclimatic influences from correlated structural variables such as canopy closure.
4.2.1. Analysis of Parasitoid Abundance in Relation to Canopy Cover and Host Ratio
To explore whether forest structural characteristics influence parasitoid abundance, we analyzed the total number of individuals from key Hymenopteran parasitoid families (Braconidae, Ichneumonidae, Diapriidae, Chalcidoidea) in relation to the average canopy cover (expressed as decimal values) at each study site. Trap locations (e.g., LH1a, LH1b) were linked to their respective parent sites (e.g., LH1), where vegetation data were available. Results show a wide variation in parasitoid abundance across sites, with only weak patterns that might be attributed to canopy cover. For instance, LH1a and LH1b both had a canopy cover of 0.8 but captured 649 and 1325 parasitoids, respectively. Conversely, LH2a recorded a higher parasitoid abundance (1780 individuals) at a lower canopy cover of 0.3. To statistically test for a relationship between canopy cover and parasitoid abundance, we performed both Pearson and Spearman correlation analyses:
Pearson correlation (linear):
r = −0.15, p = 0.724
Spearman correlation (monotonic):
ρ = 0.21, p = 0.625
These results indicate no statistically significant relationship between canopy cover and absolute parasitoid abundance (p > 0.05). While Pearson’s r suggests a slight negative trend (higher canopy cover associated with slightly fewer parasitoids), this trend is neither strong nor significant. To assess the trophic composition within the Hymenopteran community, we calculated the ratio of parasitoid individuals to the total number of Hymenoptera per trap location. Only records with valid Hymenoptera counts were included. The ratio was consistently high across all functional sites: The parasitoid-to-host ratio showed relatively small variation among the trap locations. At LH1a, the ratio was 0.67, indicating that approximately two thirds of all Hymenoptera individuals belonged to parasitoid taxa. The highest ratio was observed at LH1b, with a value of 0.78, suggesting a strong dominance of parasitoids at this location. Similarly high values were recorded at LH2a, where the ratio reached 0.73. In contrast, LH2b exhibited a lower ratio of 0.67, comparable to that of LH1a. Overall, parasitoids constituted a substantial proportion of the Hymenopteran community at all sampled trap locations. These findings suggest a high relative dominance of parasitoids, implying favorable ecological or structural conditions for parasitic lifestyles, potentially due to high host densities or optimal microclimatic conditions.
4.3. Temporal Trends in Parasitoid Abundance and Diversity
The time series of parasitoid abundance and diversity showed a pronounced decline between 24 June and 26 August 2024, both qualitatively and in model outputs. This pattern aligns with expected phenologies: parasitoid life cycles are closely tied to those of their hosts [46]. Many parasitoids overwinter within host larvae or pupae [47,48]. For most forest Lepidoptera, larval development begins in spring [49], resulting in peak parasitoid flight early in the season and decreasing activity toward late summer. The decline in diversity reflects reduced flight activity across taxa. Both parasitoid abundance and diversity showed a marked decline over the study period, consistent with the expected seasonal decrease in host availability. Forest tree diversity had a significant positive effect on natural enemy abundance and diversity (including parasitoids) in mixed versus pure stands [50], a pattern that is consistent with findings showing that vegetation structure and habitat characteristics are key determinants of parasitoid abundance and diversity in woodland ecosystems [51]. The observed seasonal decline in parasitoid abundance and diversity is consistent with the well-documented, host-dependent phenology of forest parasitoids. Most parasitoid taxa exhibit closely synchronized life cycles with their hosts, particularly Lepidoptera, whose larval development typically peaks in spring. Consequently, parasitoid emergence and flight activity are highest in early summer and decline sharply thereafter. This pattern is robustly supported by the literature and reflects a trophic response rather than a structural or climatic one.
In contrast, potential influences of shifting microclimatic conditions—such as temperature or humidity gradients—as well as changes in understory structure over the sampling period remain speculative in the context of this study. While it is plausible that such factors may modulate insect activity patterns, no continuous measurements of microclimate or vegetation structure were conducted during the study period. Therefore, these aspects cannot be empirically verified based on the current dataset and should not be overinterpreted. We strongly recommend that future research combines repeated vegetation assessments with fine-scale microclimate monitoring (e.g., temperature, relative humidity, light availability) over the entire sampling period. Such integrative approaches would allow a more comprehensive understanding of the mechanisms driving temporal dynamics in parasitoid communities and disentangle biotic interactions from abiotic constraints.
4.4. Limitations
Interpretation of the results must take into account the random-capture nature of Malaise traps and the limited sample size. The relatively low numbers of individuals collected during parts of the sampling period reduce statistical power and constrain the generalizability of the findings. Moreover, ground-level Malaise traps sample only the lower flight layer, which often differs considerably from the species composition and activity patterns present in the forest canopy. As a result, portions of the parasitoid community likely remained underrepresented. Vegetation was surveyed only once at the beginning of the study period, preventing the assessment of seasonal structural dynamics that may influence insect communities. Repeated vegetation surveys across subsequent growing seasons would better capture forest development and clarify how changes in vegetation structure affect insect abundance and diversity. Additionally, identical Shannon values may reflect entirely different species compositions, which constitutes an inherent limitation of diversity-based metrics. Furthermore, insect identification—particularly of parasitoid groups such as Braconidae and Ichneumonidae—is labor-intensive and taxonomically challenging. Potential misidentifications or the necessity to restrict determinations to family or genus level may influence the accuracy of ecological interpretations. Comparable studies for specific forest community types are also largely lacking, limiting the contextual framework for interpreting the results. Given these constraints, the present study provides an important contribution by establishing a valuable comparative dataset for this forest type. It offers initial reference conditions and response patterns that can serve as a foundation for future investigations.
The establishment of site-adapted, species-rich mixed forests is a key preventive strategy against large-scale insect outbreaks and enhances the effectiveness of parasitoids as natural antagonists. In diverse stands, generalist parasitoids benefit from a continuous baseline supply of hosts, allowing faster regulatory responses during pest population increases. Structural heterogeneity—such as the presence of light-demanding tree species or open patches—creates temperature and humidity gradients that can promote parasitoid activity, particularly in Ichneumonidae. Large canopy gaps should be avoided to maintain wind protection and reduce the drift of small insects. Specialized parasitoids benefit only to a limited extent, as their occurrence is tightly linked to specific host species; thus, taxa common in conifer monocultures may decline in mixed forests. Overall, structurally diverse mixed forests support higher arthropod diversity and enhance ecosystem resilience to climate-related disturbances.
4.5. Management Strategies
The results of this study carry relevant implications for forest management, especially regarding structural interventions such as changes in canopy cover. The response of the insect community as a whole appears to be shaped by a complex interplay of environmental variables. No consistent relationship between total insect abundance and canopy closure was observed, suggesting that single-parameter interventions may not predictably influence the broader faunal community. In contrast, the parasitoid guild—including Braconidae, Ichneumonidae, Diapriidae, and Chalcidoidea—showed consistently high host ratios across sites, regardless of canopy structure. While absolute abundance varied, statistical analysis did not reveal significant correlations with canopy cover. This indicates that parasitoids may be more dependent on host availability, microhabitat complexity, or specific habitat elements rather than canopy structure per se. Effective management strategies should therefore distinguish between community-wide effects and the needs of functional guilds such as parasitoids. While habitat heterogeneity and multi-layered vegetation can support broad insect diversity, the targeted conservation of parasitoid diversity may benefit more from microhabitat retention, host resource stability, and deadwood preservation than from canopy modification alone.
5. Conclusions
This study demonstrates that forest stand structure and canopy characteristics exert a strong influence on parasitoid communities in temperate forest ecosystems. By linking Malaise trap data with detailed vegetation and canopy metrics, we show that structurally heterogeneous stands shape both overall insect abundance and the diversity and composition of key parasitoid families. Total insect abundance declined markedly with increasing canopy cover, indicating that dense canopies reduce near-ground flight activity or population densities of many arthropod taxa. In contrast, parasitoid communities—particularly Ichneumonidae—responded positively to increased canopy cover (with overshading showing consistent correlation patterns), as reflected by higher relative proportions and increased diversity under more shaded conditions. These contrasting responses highlight divergent ecological requirements among insect guilds and underline the importance of considering both abundance- and diversity-based metrics when evaluating forest habitat quality. Broadleaf-dominated and structurally diverse sites generally supported higher parasitoid diversity and more complex community compositions than conifer-dominated stands. Temporal analyses further revealed a pronounced seasonal decline in parasitoid abundance and diversity, consistent with host-linked phenological patterns typical of forest parasitoids. These findings emphasize that single-time sampling may underestimate parasitoid diversity and that seasonal dynamics must be considered when assessing natural enemy communities. From a forest management perspective, the results support silvicultural strategies that promote mixed-species stands and heterogeneous canopy structures. Moderate shading and layered canopies appear to enhance parasitoid diversity and favor taxa with high regulatory potential, thereby strengthening natural control processes within integrated forest protection. At the same time, excessive canopy closure may reduce overall insect abundance, indicating that balanced structural heterogeneity—rather than uniformly dense stands—is critical for maintaining functional insect communities. Overall, this study provides empirical evidence that forest structural attributes play a central role in shaping parasitoid assemblages and their potential contribution to pest regulation. The results offer an ecological basis for integrating biodiversity-oriented stand management into adaptive forest protection strategies under ongoing climate change.
Author Contributions
Conceptualization, C.C.J.-F.; methodology, C.C.J.-F.; software, R.L. and C.C.J.-F.; validation, C.C.J.-F. and R.L.; formal analysis, C.C.J.-F. and R.L.; investigation, C.C.J.-F. and R.L.; resources, C.C.J.-F. and M.G.M.; data curation, C.C.J.-F. and R.L.; writing—original draft preparation, C.C.J.-F. and R.L.; writing—review and editing, M.G.M. and C.C.J.-F.; visualization, C.C.J.-F.; supervision, M.G.M. and C.C.J.-F.; project administration, C.C.J.-F. and M.G.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The datasets presented in this article are not readily available because the data are part of an ongoing study. Requests for information about the datasets should be directed to claudia.jordan-fragstein@tu-dresden.de.
Acknowledgments
We would like to thank Robert Schlicht (TU Dresden) for statistical support.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
| a.s.l. | above sea level |
| CCA | Canonical Correlation Analysis |
| DBH | diameter at breast height |
| df | degrees of freedom |
| GLMM | Generalized Linear Mixed(-Effects) Model |
| H′ | Shannon diversity index |
| LH | broadleaf-dominated habitat section |
| LMM | Linear Mixed(-Effects) Model |
| NH | conifer-dominated habitat section |
| NMDS | Non-metric Multidimensional Scaling |
| PCoA | Principal Coordinates Analysis |
| R2 | coefficient of determination |
| SE | standard error |
| SD | standard deviation |
| ρ | Spearman’s rank correlation coefficient |
| α | significance level |
Appendix A
Table A1.
Abundance summary pro Site × Date × Family, identified according to “Arthropoda” [52].
Table A1.
Abundance summary pro Site × Date × Family, identified according to “Arthropoda” [52].
| Site | Date | Family | Abundance |
|---|---|---|---|
| LH1 | 24 June 2024 00:00:00 | Ampulicidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Apidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Argidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Astatidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Braconidae | 20 |
| LH1 | 24 June 2024 00:00:00 | Ceraphronidae | 8 |
| LH1 | 24 June 2024 00:00:00 | Chalcidoidea | 30 |
| LH1 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| LH1 | 24 June 2024 00:00:00 | Crabronidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Cynipoidea | 5 |
| LH1 | 24 June 2024 00:00:00 | Diapriidae | 163 |
| LH1 | 24 June 2024 00:00:00 | Dryinidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Evaniidae | 7 |
| LH1 | 24 June 2024 00:00:00 | Formicidae | 47 |
| LH1 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Heloridae | 0 |
| LH1 | 24 June 2024 00:00:00 | Ichneumonidae | 40 |
| LH1 | 24 June 2024 00:00:00 | Megaspilidae | 1 |
| LH1 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Pemphredonidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Platygastridae | 14 |
| LH1 | 24 June 2024 00:00:00 | Pompilidae | 1 |
| LH1 | 24 June 2024 00:00:00 | Proctotrupidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Scelionidae | 12 |
| LH1 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Siricidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Tachinidae | 0 |
| LH1 | 24 June 2024 00:00:00 | Tenthredinidae | 4 |
| LH1 | 24 June 2024 00:00:00 | Vespidae | 2 |
| LH1 | 1 July 2024 00:00:00 | Ampulicidae | 1 |
| LH1 | 1 July 2024 00:00:00 | Apidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Argidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Astatidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Bethylidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Braconidae | 13 |
| LH1 | 1 July 2024 00:00:00 | Ceraphronidae | 31 |
| LH1 | 1 July 2024 00:00:00 | Chalcidoidea | 45 |
| LH1 | 1 July 2024 00:00:00 | Chrysididae | 0 |
| LH1 | 1 July 2024 00:00:00 | Crabronidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Cynipoidea | 4 |
| LH1 | 1 July 2024 00:00:00 | Diapriidae | 123 |
| LH1 | 1 July 2024 00:00:00 | Dryinidae | 2 |
| LH1 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Evaniidae | 5 |
| LH1 | 1 July 2024 00:00:00 | Formicidae | 10 |
| LH1 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Heloridae | 0 |
| LH1 | 1 July 2024 00:00:00 | Ichneumonidae | 70 |
| LH1 | 1 July 2024 00:00:00 | Megaspilidae | 3 |
| LH1 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Nyssonidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Pemphredonidae | 2 |
| LH1 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Platygastridae | 24 |
| LH1 | 1 July 2024 00:00:00 | Pompilidae | 3 |
| LH1 | 1 July 2024 00:00:00 | Proctotrupidae | 2 |
| LH1 | 1 July 2024 00:00:00 | Scelionidae | 5 |
| LH1 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Siricidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Tachinidae | 1 |
| LH1 | 1 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH1 | 1 July 2024 00:00:00 | Vespidae | 4 |
| LH1 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Apidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Argidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Astatidae | 1 |
| LH1 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Braconidae | 12 |
| LH1 | 22 July 2024 00:00:00 | Ceraphronidae | 5 |
| LH1 | 22 July 2024 00:00:00 | Chalcidoidea | 12 |
| LH1 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| LH1 | 22 July 2024 00:00:00 | Crabronidae | 1 |
| LH1 | 22 July 2024 00:00:00 | Cynipoidea | 2 |
| LH1 | 22 July 2024 00:00:00 | Diapriidae | 23 |
| LH1 | 22 July 2024 00:00:00 | Dryinidae | 1 |
| LH1 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Evaniidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Formicidae | 41 |
| LH1 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Heloridae | 0 |
| LH1 | 22 July 2024 00:00:00 | Ichneumonidae | 26 |
| LH1 | 22 July 2024 00:00:00 | Megaspilidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Nyssonidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Philanthidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Platygastridae | 2 |
| LH1 | 22 July 2024 00:00:00 | Pompilidae | 3 |
| LH1 | 22 July 2024 00:00:00 | Proctotrupidae | 2 |
| LH1 | 22 July 2024 00:00:00 | Scelionidae | 1 |
| LH1 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Siricidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH1 | 22 July 2024 00:00:00 | Vespidae | 3 |
| LH1 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Apidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Argidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Astatidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Braconidae | 2 |
| LH1 | 29 July 2024 00:00:00 | Ceraphronidae | 9 |
| LH1 | 29 July 2024 00:00:00 | Chalcidoidea | 11 |
| LH1 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| LH1 | 29 July 2024 00:00:00 | Crabronidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Cynipoidea | 0 |
| LH1 | 29 July 2024 00:00:00 | Diapriidae | 19 |
| LH1 | 29 July 2024 00:00:00 | Dryinidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Formicidae | 14 |
| LH1 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Heloridae | 0 |
| LH1 | 29 July 2024 00:00:00 | Ichneumonidae | 12 |
| LH1 | 29 July 2024 00:00:00 | Megaspilidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Nyssonidae | 1 |
| LH1 | 29 July 2024 00:00:00 | Pamphilidae | 1 |
| LH1 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Platygastridae | 2 |
| LH1 | 29 July 2024 00:00:00 | Pompilidae | 2 |
| LH1 | 29 July 2024 00:00:00 | Proctotrupidae | 1 |
| LH1 | 29 July 2024 00:00:00 | Scelionidae | 1 |
| LH1 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Siricidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Tachinidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH1 | 29 July 2024 00:00:00 | Vespidae | 1 |
| LH1 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Apidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Argidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Astatidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Braconidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Ceraphronidae | 3 |
| LH1 | 19 August 2024 00:00:00 | Chalcidoidea | 4 |
| LH1 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| LH1 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Cynipoidea | 1 |
| LH1 | 19 August 2024 00:00:00 | Diapriidae | 12 |
| LH1 | 19 August 2024 00:00:00 | Dryinidae | 1 |
| LH1 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Formicidae | 13 |
| LH1 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Heloridae | 0 |
| LH1 | 19 August 2024 00:00:00 | Ichneumonidae | 5 |
| LH1 | 19 August 2024 00:00:00 | Megaspilidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Platygastridae | 0 |
| LH1 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Proctotrupidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Scelionidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Siricidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH1 | 19 August 2024 00:00:00 | Vespidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Apidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Argidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Astatidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Braconidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Ceraphronidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Chalcidoidea | 3 |
| LH1 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| LH1 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| LH1 | 26 August 2024 00:00:00 | Diapriidae | 3 |
| LH1 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Formicidae | 4 |
| LH1 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Heloridae | 0 |
| LH1 | 26 August 2024 00:00:00 | Ichneumonidae | 1 |
| LH1 | 26 August 2024 00:00:00 | Megaspilidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Pemphredonidae | 1 |
| LH1 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Platygastridae | 1 |
| LH1 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Proctotrupidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Scelionidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Siricidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH1 | 26 August 2024 00:00:00 | Vespidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Ampulicidae | 1 |
| LH2 | 24 June 2024 00:00:00 | Apidae | 1 |
| LH2 | 24 June 2024 00:00:00 | Argidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Astatidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Braconidae | 13 |
| LH2 | 24 June 2024 00:00:00 | Ceraphronidae | 18 |
| LH2 | 24 June 2024 00:00:00 | Chalcidoidea | 44 |
| LH2 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| LH2 | 24 June 2024 00:00:00 | Crabronidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Cynipoidea | 0 |
| LH2 | 24 June 2024 00:00:00 | Diapriidae | 278 |
| LH2 | 24 June 2024 00:00:00 | Dryinidae | 2 |
| LH2 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Evaniidae | 2 |
| LH2 | 24 June 2024 00:00:00 | Formicidae | 3 |
| LH2 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Heloridae | 0 |
| LH2 | 24 June 2024 00:00:00 | Ichneumonidae | 74 |
| LH2 | 24 June 2024 00:00:00 | Megaspilidae | 8 |
| LH2 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Pemphredonidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Platygastridae | 30 |
| LH2 | 24 June 2024 00:00:00 | Pompilidae | 4 |
| LH2 | 24 June 2024 00:00:00 | Proctotrupidae | 2 |
| LH2 | 24 June 2024 00:00:00 | Scelionidae | 4 |
| LH2 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Siricidae | 0 |
| LH2 | 24 June 2024 00:00:00 | Tachinidae | 2 |
| LH2 | 24 June 2024 00:00:00 | Tenthredinidae | 1 |
| LH2 | 24 June 2024 00:00:00 | Vespidae | 4 |
| LH2 | 1 July 2024 00:00:00 | Ampulicidae | 1 |
| LH2 | 1 July 2024 00:00:00 | Apidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Argidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Astatidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Bethylidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Braconidae | 14 |
| LH2 | 1 July 2024 00:00:00 | Ceraphronidae | 38 |
| LH2 | 1 July 2024 00:00:00 | Chalcidoidea | 60 |
| LH2 | 1 July 2024 00:00:00 | Chrysididae | 1 |
| LH2 | 1 July 2024 00:00:00 | Crabronidae | 1 |
| LH2 | 1 July 2024 00:00:00 | Cynipoidea | 11 |
| LH2 | 1 July 2024 00:00:00 | Diapriidae | 242 |
| LH2 | 1 July 2024 00:00:00 | Dryinidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Evaniidae | 2 |
| LH2 | 1 July 2024 00:00:00 | Formicidae | 3 |
| LH2 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Heloridae | 0 |
| LH2 | 1 July 2024 00:00:00 | Ichneumonidae | 56 |
| LH2 | 1 July 2024 00:00:00 | Megaspilidae | 7 |
| LH2 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Nyssonidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Platygastridae | 34 |
| LH2 | 1 July 2024 00:00:00 | Pompilidae | 1 |
| LH2 | 1 July 2024 00:00:00 | Proctotrupidae | 9 |
| LH2 | 1 July 2024 00:00:00 | Scelionidae | 3 |
| LH2 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Siricidae | 0 |
| LH2 | 1 July 2024 00:00:00 | Tachinidae | 5 |
| LH2 | 1 July 2024 00:00:00 | Tenthredinidae | 2 |
| LH2 | 1 July 2024 00:00:00 | Vespidae | 1 |
| LH2 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Apidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Argidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Astatidae | 2 |
| LH2 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Braconidae | 18 |
| LH2 | 22 July 2024 00:00:00 | Ceraphronidae | 9 |
| LH2 | 22 July 2024 00:00:00 | Chalcidoidea | 31 |
| LH2 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| LH2 | 22 July 2024 00:00:00 | Crabronidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Cynipoidea | 5 |
| LH2 | 22 July 2024 00:00:00 | Diapriidae | 112 |
| LH2 | 22 July 2024 00:00:00 | Dryinidae | 7 |
| LH2 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Evaniidae | 1 |
| LH2 | 22 July 2024 00:00:00 | Formicidae | 10 |
| LH2 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Heloridae | 0 |
| LH2 | 22 July 2024 00:00:00 | Ichneumonidae | 44 |
| LH2 | 22 July 2024 00:00:00 | Megaspilidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Nyssonidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Pemphredonidae | 1 |
| LH2 | 22 July 2024 00:00:00 | Philanthidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Platygastridae | 14 |
| LH2 | 22 July 2024 00:00:00 | Pompilidae | 1 |
| LH2 | 22 July 2024 00:00:00 | Proctotrupidae | 3 |
| LH2 | 22 July 2024 00:00:00 | Scelionidae | 1 |
| LH2 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Siricidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH2 | 22 July 2024 00:00:00 | Vespidae | 5 |
| LH2 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Apidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Argidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Astatidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Braconidae | 10 |
| LH2 | 29 July 2024 00:00:00 | Ceraphronidae | 7 |
| LH2 | 29 July 2024 00:00:00 | Chalcidoidea | 21 |
| LH2 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| LH2 | 29 July 2024 00:00:00 | Crabronidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Cynipoidea | 3 |
| LH2 | 29 July 2024 00:00:00 | Diapriidae | 137 |
| LH2 | 29 July 2024 00:00:00 | Dryinidae | 1 |
| LH2 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Formicidae | 1 |
| LH2 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Heloridae | 12 |
| LH2 | 29 July 2024 00:00:00 | Ichneumonidae | 22 |
| LH2 | 29 July 2024 00:00:00 | Megaspilidae | 1 |
| LH2 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Nyssonidae | 2 |
| LH2 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Platygastridae | 8 |
| LH2 | 29 July 2024 00:00:00 | Pompilidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Proctotrupidae | 3 |
| LH2 | 29 July 2024 00:00:00 | Scelionidae | 5 |
| LH2 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Siricidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Tachinidae | 1 |
| LH2 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH2 | 29 July 2024 00:00:00 | Vespidae | 3 |
| LH2 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Apidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Argidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Astatidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Braconidae | 5 |
| LH2 | 19 August 2024 00:00:00 | Ceraphronidae | 9 |
| LH2 | 19 August 2024 00:00:00 | Chalcidoidea | 18 |
| LH2 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| LH2 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Cynipoidea | 4 |
| LH2 | 19 August 2024 00:00:00 | Diapriidae | 35 |
| LH2 | 19 August 2024 00:00:00 | Dryinidae | 1 |
| LH2 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Formicidae | 19 |
| LH2 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Heloridae | 0 |
| LH2 | 19 August 2024 00:00:00 | Ichneumonidae | 9 |
| LH2 | 19 August 2024 00:00:00 | Megaspilidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Platygastridae | 4 |
| LH2 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Proctotrupidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Scelionidae | 2 |
| LH2 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Siricidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH2 | 19 August 2024 00:00:00 | Vespidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Apidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Argidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Astatidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Braconidae | 1 |
| LH2 | 26 August 2024 00:00:00 | Ceraphronidae | 11 |
| LH2 | 26 August 2024 00:00:00 | Chalcidoidea | 7 |
| LH2 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| LH2 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| LH2 | 26 August 2024 00:00:00 | Diapriidae | 70 |
| LH2 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Formicidae | 1 |
| LH2 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Heloridae | 2 |
| LH2 | 26 August 2024 00:00:00 | Ichneumonidae | 4 |
| LH2 | 26 August 2024 00:00:00 | Megaspilidae | 1 |
| LH2 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Platygastridae | 1 |
| LH2 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Proctotrupidae | 2 |
| LH2 | 26 August 2024 00:00:00 | Scelionidae | 3 |
| LH2 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Siricidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH2 | 26 August 2024 00:00:00 | Vespidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Ampulicidae | 1 |
| LH3 | 24 June 2024 00:00:00 | Apidae | 1 |
| LH3 | 24 June 2024 00:00:00 | Argidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Astatidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Braconidae | 28 |
| LH3 | 24 June 2024 00:00:00 | Ceraphronidae | 35 |
| LH3 | 24 June 2024 00:00:00 | Chalcidoidea | 57 |
| LH3 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| LH3 | 24 June 2024 00:00:00 | Crabronidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Cynipoidea | 8 |
| LH3 | 24 June 2024 00:00:00 | Diapriidae | 356 |
| LH3 | 24 June 2024 00:00:00 | Dryinidae | 7 |
| LH3 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Evaniidae | 8 |
| LH3 | 24 June 2024 00:00:00 | Formicidae | 18 |
| LH3 | 24 June 2024 00:00:00 | Gasterupidae | 1 |
| LH3 | 24 June 2024 00:00:00 | Heloridae | 0 |
| LH3 | 24 June 2024 00:00:00 | Ichneumonidae | 65 |
| LH3 | 24 June 2024 00:00:00 | Megaspilidae | 3 |
| LH3 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Pamphilidae | 1 |
| LH3 | 24 June 2024 00:00:00 | Pemphredonidae | 1 |
| LH3 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Platygastridae | 36 |
| LH3 | 24 June 2024 00:00:00 | Pompilidae | 8 |
| LH3 | 24 June 2024 00:00:00 | Proctotrupidae | 5 |
| LH3 | 24 June 2024 00:00:00 | Scelionidae | 4 |
| LH3 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Siricidae | 0 |
| LH3 | 24 June 2024 00:00:00 | Tachinidae | 1 |
| LH3 | 24 June 2024 00:00:00 | Tenthredinidae | 2 |
| LH3 | 24 June 2024 00:00:00 | Vespidae | 4 |
| LH3 | 1 July 2024 00:00:00 | Ampulicidae | 1 |
| LH3 | 1 July 2024 00:00:00 | Apidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Argidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Astatidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Bethylidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Braconidae | 36 |
| LH3 | 1 July 2024 00:00:00 | Ceraphronidae | 42 |
| LH3 | 1 July 2024 00:00:00 | Chalcidoidea | 81 |
| LH3 | 1 July 2024 00:00:00 | Chrysididae | 0 |
| LH3 | 1 July 2024 00:00:00 | Crabronidae | 2 |
| LH3 | 1 July 2024 00:00:00 | Cynipoidea | 17 |
| LH3 | 1 July 2024 00:00:00 | Diapriidae | 293 |
| LH3 | 1 July 2024 00:00:00 | Dryinidae | 1 |
| LH3 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Evaniidae | 12 |
| LH3 | 1 July 2024 00:00:00 | Formicidae | 25 |
| LH3 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Heloridae | 0 |
| LH3 | 1 July 2024 00:00:00 | Ichneumonidae | 74 |
| LH3 | 1 July 2024 00:00:00 | Megaspilidae | 4 |
| LH3 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Nyssonidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Platygastridae | 25 |
| LH3 | 1 July 2024 00:00:00 | Pompilidae | 1 |
| LH3 | 1 July 2024 00:00:00 | Proctotrupidae | 3 |
| LH3 | 1 July 2024 00:00:00 | Scelionidae | 10 |
| LH3 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| LH3 | 1 July 2024 00:00:00 | Siricidae | 1 |
| LH3 | 1 July 2024 00:00:00 | Tachinidae | 4 |
| LH3 | 1 July 2024 00:00:00 | Tenthredinidae | 1 |
| LH3 | 1 July 2024 00:00:00 | Vespidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Apidae | 2 |
| LH3 | 22 July 2024 00:00:00 | Argidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Astatidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Braconidae | 57 |
| LH3 | 22 July 2024 00:00:00 | Ceraphronidae | 17 |
| LH3 | 22 July 2024 00:00:00 | Chalcidoidea | 68 |
| LH3 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| LH3 | 22 July 2024 00:00:00 | Crabronidae | 5 |
| LH3 | 22 July 2024 00:00:00 | Cynipoidea | 10 |
| LH3 | 22 July 2024 00:00:00 | Diapriidae | 135 |
| LH3 | 22 July 2024 00:00:00 | Dryinidae | 10 |
| LH3 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Evaniidae | 2 |
| LH3 | 22 July 2024 00:00:00 | Formicidae | 22 |
| LH3 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Heloridae | 0 |
| LH3 | 22 July 2024 00:00:00 | Ichneumonidae | 74 |
| LH3 | 22 July 2024 00:00:00 | Megaspilidae | 1 |
| LH3 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Nyssonidae | 10 |
| LH3 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Pemphredonidae | 1 |
| LH3 | 22 July 2024 00:00:00 | Philanthidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Platygastridae | 29 |
| LH3 | 22 July 2024 00:00:00 | Pompilidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Proctotrupidae | 13 |
| LH3 | 22 July 2024 00:00:00 | Scelionidae | 9 |
| LH3 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Siricidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Tachinidae | 2 |
| LH3 | 22 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH3 | 22 July 2024 00:00:00 | Vespidae | 4 |
| LH3 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Apidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Argidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Astatidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Braconidae | 30 |
| LH3 | 29 July 2024 00:00:00 | Ceraphronidae | 9 |
| LH3 | 29 July 2024 00:00:00 | Chalcidoidea | 40 |
| LH3 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| LH3 | 29 July 2024 00:00:00 | Crabronidae | 1 |
| LH3 | 29 July 2024 00:00:00 | Cynipoidea | 20 |
| LH3 | 29 July 2024 00:00:00 | Diapriidae | 105 |
| LH3 | 29 July 2024 00:00:00 | Dryinidae | 11 |
| LH3 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Evaniidae | 2 |
| LH3 | 29 July 2024 00:00:00 | Formicidae | 55 |
| LH3 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Heloridae | 0 |
| LH3 | 29 July 2024 00:00:00 | Ichneumonidae | 48 |
| LH3 | 29 July 2024 00:00:00 | Megaspilidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Nyssonidae | 1 |
| LH3 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Platygastridae | 15 |
| LH3 | 29 July 2024 00:00:00 | Pompilidae | 5 |
| LH3 | 29 July 2024 00:00:00 | Proctotrupidae | 18 |
| LH3 | 29 July 2024 00:00:00 | Scelionidae | 6 |
| LH3 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Siricidae | 0 |
| LH3 | 29 July 2024 00:00:00 | Tachinidae | 3 |
| LH3 | 29 July 2024 00:00:00 | Tenthredinidae | 3 |
| LH3 | 29 July 2024 00:00:00 | Vespidae | 10 |
| LH3 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Apidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Argidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Astatidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Braconidae | 6 |
| LH3 | 19 August 2024 00:00:00 | Ceraphronidae | 36 |
| LH3 | 19 August 2024 00:00:00 | Chalcidoidea | 29 |
| LH3 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| LH3 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Cynipoidea | 1 |
| LH3 | 19 August 2024 00:00:00 | Diapriidae | 145 |
| LH3 | 19 August 2024 00:00:00 | Dryinidae | 1 |
| LH3 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Formicidae | 2 |
| LH3 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Heloridae | 1 |
| LH3 | 19 August 2024 00:00:00 | Ichneumonidae | 14 |
| LH3 | 19 August 2024 00:00:00 | Megaspilidae | 3 |
| LH3 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Platygastridae | 5 |
| LH3 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Proctotrupidae | 5 |
| LH3 | 19 August 2024 00:00:00 | Scelionidae | 7 |
| LH3 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Siricidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH3 | 19 August 2024 00:00:00 | Vespidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Apidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Argidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Astatidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Braconidae | 1 |
| LH3 | 26 August 2024 00:00:00 | Ceraphronidae | 5 |
| LH3 | 26 August 2024 00:00:00 | Chalcidoidea | 6 |
| LH3 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| LH3 | 26 August 2024 00:00:00 | Crabronidae | 1 |
| LH3 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| LH3 | 26 August 2024 00:00:00 | Diapriidae | 29 |
| LH3 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Formicidae | 6 |
| LH3 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Heloridae | 0 |
| LH3 | 26 August 2024 00:00:00 | Ichneumonidae | 3 |
| LH3 | 26 August 2024 00:00:00 | Megaspilidae | 1 |
| LH3 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Platygastridae | 0 |
| LH3 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Proctotrupidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Scelionidae | 1 |
| LH3 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Siricidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH3 | 26 August 2024 00:00:00 | Vespidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Ampulicidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Apidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Argidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Astatidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Bethylidae | 1 |
| LH4 | 24 June 2024 00:00:00 | Braconidae | 6 |
| LH4 | 24 June 2024 00:00:00 | Ceraphronidae | 6 |
| LH4 | 24 June 2024 00:00:00 | Chalcidoidea | 24 |
| LH4 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| LH4 | 24 June 2024 00:00:00 | Crabronidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Cynipoidea | 3 |
| LH4 | 24 June 2024 00:00:00 | Diapriidae | 42 |
| LH4 | 24 June 2024 00:00:00 | Dryinidae | 1 |
| LH4 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Evaniidae | 1 |
| LH4 | 24 June 2024 00:00:00 | Formicidae | 1 |
| LH4 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Heloridae | 0 |
| LH4 | 24 June 2024 00:00:00 | Ichneumonidae | 11 |
| LH4 | 24 June 2024 00:00:00 | Megaspilidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Pemphredonidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Platygastridae | 11 |
| LH4 | 24 June 2024 00:00:00 | Pompilidae | 1 |
| LH4 | 24 June 2024 00:00:00 | Proctotrupidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Scelionidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Siricidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Tachinidae | 1 |
| LH4 | 24 June 2024 00:00:00 | Tenthredinidae | 0 |
| LH4 | 24 June 2024 00:00:00 | Vespidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Ampulicidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Apidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Argidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Astatidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Bethylidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Braconidae | 10 |
| LH4 | 1 July 2024 00:00:00 | Ceraphronidae | 9 |
| LH4 | 1 July 2024 00:00:00 | Chalcidoidea | 21 |
| LH4 | 1 July 2024 00:00:00 | Chrysididae | 0 |
| LH4 | 1 July 2024 00:00:00 | Crabronidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Cynipoidea | 5 |
| LH4 | 1 July 2024 00:00:00 | Diapriidae | 22 |
| LH4 | 1 July 2024 00:00:00 | Dryinidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Evaniidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Formicidae | 1 |
| LH4 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Heloridae | 0 |
| LH4 | 1 July 2024 00:00:00 | Ichneumonidae | 14 |
| LH4 | 1 July 2024 00:00:00 | Megaspilidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Nyssonidae | 3 |
| LH4 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Platygastridae | 17 |
| LH4 | 1 July 2024 00:00:00 | Pompilidae | 1 |
| LH4 | 1 July 2024 00:00:00 | Proctotrupidae | 1 |
| LH4 | 1 July 2024 00:00:00 | Scelionidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Siricidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Tachinidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH4 | 1 July 2024 00:00:00 | Vespidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Apidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Argidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Astatidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Braconidae | 20 |
| LH4 | 22 July 2024 00:00:00 | Ceraphronidae | 7 |
| LH4 | 22 July 2024 00:00:00 | Chalcidoidea | 50 |
| LH4 | 22 July 2024 00:00:00 | Chrysididae | 1 |
| LH4 | 22 July 2024 00:00:00 | Crabronidae | 3 |
| LH4 | 22 July 2024 00:00:00 | Cynipoidea | 44 |
| LH4 | 22 July 2024 00:00:00 | Diapriidae | 55 |
| LH4 | 22 July 2024 00:00:00 | Dryinidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Evaniidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Formicidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Heloridae | 1 |
| LH4 | 22 July 2024 00:00:00 | Ichneumonidae | 29 |
| LH4 | 22 July 2024 00:00:00 | Megaspilidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Nyssonidae | 2 |
| LH4 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Pemphredonidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Philanthidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Platygastridae | 8 |
| LH4 | 22 July 2024 00:00:00 | Pompilidae | 1 |
| LH4 | 22 July 2024 00:00:00 | Proctotrupidae | 6 |
| LH4 | 22 July 2024 00:00:00 | Scelionidae | 2 |
| LH4 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Siricidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| LH4 | 22 July 2024 00:00:00 | Tenthredinidae | 2 |
| LH4 | 22 July 2024 00:00:00 | Vespidae | 1 |
| LH4 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Apidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Argidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Astatidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Braconidae | 9 |
| LH4 | 29 July 2024 00:00:00 | Ceraphronidae | 5 |
| LH4 | 29 July 2024 00:00:00 | Chalcidoidea | 29 |
| LH4 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| LH4 | 29 July 2024 00:00:00 | Crabronidae | 2 |
| LH4 | 29 July 2024 00:00:00 | Cynipoidea | 15 |
| LH4 | 29 July 2024 00:00:00 | Diapriidae | 27 |
| LH4 | 29 July 2024 00:00:00 | Dryinidae | 1 |
| LH4 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Formicidae | 2 |
| LH4 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Heloridae | 0 |
| LH4 | 29 July 2024 00:00:00 | Ichneumonidae | 28 |
| LH4 | 29 July 2024 00:00:00 | Megaspilidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Nyssonidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Platygastridae | 6 |
| LH4 | 29 July 2024 00:00:00 | Pompilidae | 1 |
| LH4 | 29 July 2024 00:00:00 | Proctotrupidae | 5 |
| LH4 | 29 July 2024 00:00:00 | Scelionidae | 3 |
| LH4 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Siricidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Tachinidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| LH4 | 29 July 2024 00:00:00 | Vespidae | 7 |
| LH4 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Apidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Argidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Astatidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Braconidae | 3 |
| LH4 | 19 August 2024 00:00:00 | Ceraphronidae | 4 |
| LH4 | 19 August 2024 00:00:00 | Chalcidoidea | 9 |
| LH4 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| LH4 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Cynipoidea | 0 |
| LH4 | 19 August 2024 00:00:00 | Diapriidae | 5 |
| LH4 | 19 August 2024 00:00:00 | Dryinidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Formicidae | 1 |
| LH4 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Heloridae | 0 |
| LH4 | 19 August 2024 00:00:00 | Ichneumonidae | 3 |
| LH4 | 19 August 2024 00:00:00 | Megaspilidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Platygastridae | 2 |
| LH4 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Proctotrupidae | 1 |
| LH4 | 19 August 2024 00:00:00 | Scelionidae | 1 |
| LH4 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Siricidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH4 | 19 August 2024 00:00:00 | Vespidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Apidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Argidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Astatidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Braconidae | 1 |
| LH4 | 26 August 2024 00:00:00 | Ceraphronidae | 3 |
| LH4 | 26 August 2024 00:00:00 | Chalcidoidea | 1 |
| LH4 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| LH4 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| LH4 | 26 August 2024 00:00:00 | Diapriidae | 14 |
| LH4 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Formicidae | 1 |
| LH4 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Heloridae | 0 |
| LH4 | 26 August 2024 00:00:00 | Ichneumonidae | 1 |
| LH4 | 26 August 2024 00:00:00 | Megaspilidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Pemphredonidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Platygastridae | 1 |
| LH4 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Proctotrupidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Scelionidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Siricidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| LH4 | 26 August 2024 00:00:00 | Vespidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Ampulicidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Apidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Argidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Astatidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Braconidae | 9 |
| NH1 | 24 June 2024 00:00:00 | Ceraphronidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Chalcidoidea | 3 |
| NH1 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| NH1 | 24 June 2024 00:00:00 | Crabronidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Cynipoidea | 0 |
| NH1 | 24 June 2024 00:00:00 | Diapriidae | 20 |
| NH1 | 24 June 2024 00:00:00 | Dryinidae | 2 |
| NH1 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Evaniidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Formicidae | 11 |
| NH1 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Heloridae | 0 |
| NH1 | 24 June 2024 00:00:00 | Ichneumonidae | 6 |
| NH1 | 24 June 2024 00:00:00 | Megaspilidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Pemphredonidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Platygastridae | 2 |
| NH1 | 24 June 2024 00:00:00 | Pompilidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Proctotrupidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Scelionidae | 1 |
| NH1 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Siricidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Tachinidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Tenthredinidae | 0 |
| NH1 | 24 June 2024 00:00:00 | Vespidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Ampulicidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Apidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Argidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Astatidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Bethylidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Braconidae | 13 |
| NH1 | 1 July 2024 00:00:00 | Ceraphronidae | 3 |
| NH1 | 1 July 2024 00:00:00 | Chalcidoidea | 8 |
| NH1 | 1 July 2024 00:00:00 | Chrysididae | 0 |
| NH1 | 1 July 2024 00:00:00 | Crabronidae | 2 |
| NH1 | 1 July 2024 00:00:00 | Cynipoidea | 3 |
| NH1 | 1 July 2024 00:00:00 | Diapriidae | 44 |
| NH1 | 1 July 2024 00:00:00 | Dryinidae | 3 |
| NH1 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Evaniidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Formicidae | 19 |
| NH1 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Heloridae | 0 |
| NH1 | 1 July 2024 00:00:00 | Ichneumonidae | 35 |
| NH1 | 1 July 2024 00:00:00 | Megaspilidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Mellinidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Nyssonidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Pemphredonidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Platygastridae | 3 |
| NH1 | 1 July 2024 00:00:00 | Pompilidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Proctotrupidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Scelionidae | 2 |
| NH1 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Siricidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Tachinidae | 0 |
| NH1 | 1 July 2024 00:00:00 | Tenthredinidae | 1 |
| NH1 | 1 July 2024 00:00:00 | Vespidae | 1 |
| NH1 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Apidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Argidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Astatidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Braconidae | 6 |
| NH1 | 22 July 2024 00:00:00 | Ceraphronidae | 5 |
| NH1 | 22 July 2024 00:00:00 | Chalcidoidea | 11 |
| NH1 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| NH1 | 22 July 2024 00:00:00 | Crabronidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Cynipoidea | 5 |
| NH1 | 22 July 2024 00:00:00 | Diapriidae | 5 |
| NH1 | 22 July 2024 00:00:00 | Dryinidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Evaniidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Formicidae | 16 |
| NH1 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Heloridae | 0 |
| NH1 | 22 July 2024 00:00:00 | Ichneumonidae | 17 |
| NH1 | 22 July 2024 00:00:00 | Megaspilidae | 3 |
| NH1 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Nyssonidae | 2 |
| NH1 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Pemphredonidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Philanthidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Platygastridae | 4 |
| NH1 | 22 July 2024 00:00:00 | Pompilidae | 2 |
| NH1 | 22 July 2024 00:00:00 | Proctotrupidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Scelionidae | 3 |
| NH1 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Siricidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH1 | 22 July 2024 00:00:00 | Vespidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Apidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Argidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Astatidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Braconidae | 8 |
| NH1 | 29 July 2024 00:00:00 | Ceraphronidae | 6 |
| NH1 | 29 July 2024 00:00:00 | Chalcidoidea | 7 |
| NH1 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| NH1 | 29 July 2024 00:00:00 | Crabronidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Cynipoidea | 0 |
| NH1 | 29 July 2024 00:00:00 | Diapriidae | 4 |
| NH1 | 29 July 2024 00:00:00 | Dryinidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Formicidae | 22 |
| NH1 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Heloridae | 0 |
| NH1 | 29 July 2024 00:00:00 | Ichneumonidae | 15 |
| NH1 | 29 July 2024 00:00:00 | Megaspilidae | 2 |
| NH1 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Nyssonidae | 2 |
| NH1 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Platygastridae | 0 |
| NH1 | 29 July 2024 00:00:00 | Pompilidae | 1 |
| NH1 | 29 July 2024 00:00:00 | Proctotrupidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Scelionidae | 7 |
| NH1 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Siricidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Tachinidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH1 | 29 July 2024 00:00:00 | Vespidae | 2 |
| NH1 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Apidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Argidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Astatidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Braconidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Ceraphronidae | 3 |
| NH1 | 19 August 2024 00:00:00 | Chalcidoidea | 5 |
| NH1 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| NH1 | 19 August 2024 00:00:00 | Crabronidae | 1 |
| NH1 | 19 August 2024 00:00:00 | Cynipoidea | 1 |
| NH1 | 19 August 2024 00:00:00 | Diapriidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Dryinidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Formicidae | 15 |
| NH1 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Heloridae | 0 |
| NH1 | 19 August 2024 00:00:00 | Ichneumonidae | 5 |
| NH1 | 19 August 2024 00:00:00 | Megaspilidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Platygastridae | 2 |
| NH1 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Proctotrupidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Scelionidae | 3 |
| NH1 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Siricidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH1 | 19 August 2024 00:00:00 | Vespidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Apidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Argidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Astatidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Braconidae | 1 |
| NH1 | 26 August 2024 00:00:00 | Ceraphronidae | 3 |
| NH1 | 26 August 2024 00:00:00 | Chalcidoidea | 8 |
| NH1 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| NH1 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| NH1 | 26 August 2024 00:00:00 | Diapriidae | 3 |
| NH1 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Formicidae | 10 |
| NH1 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Heloridae | 0 |
| NH1 | 26 August 2024 00:00:00 | Ichneumonidae | 5 |
| NH1 | 26 August 2024 00:00:00 | Megaspilidae | 1 |
| NH1 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Pemphredonidae | 1 |
| NH1 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Platygastridae | 3 |
| NH1 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Proctotrupidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Scelionidae | 1 |
| NH1 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Siricidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH1 | 26 August 2024 00:00:00 | Vespidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Ampulicidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Apidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Argidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Astatidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Braconidae | 10 |
| NH2 | 24 June 2024 00:00:00 | Ceraphronidae | 1 |
| NH2 | 24 June 2024 00:00:00 | Chalcidoidea | 2 |
| NH2 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| NH2 | 24 June 2024 00:00:00 | Crabronidae | 2 |
| NH2 | 24 June 2024 00:00:00 | Cynipoidea | 0 |
| NH2 | 24 June 2024 00:00:00 | Diapriidae | 11 |
| NH2 | 24 June 2024 00:00:00 | Dryinidae | 1 |
| NH2 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Evaniidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Formicidae | 22 |
| NH2 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Heloridae | 0 |
| NH2 | 24 June 2024 00:00:00 | Ichneumonidae | 7 |
| NH2 | 24 June 2024 00:00:00 | Megaspilidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Pemphredonidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Platygastridae | 3 |
| NH2 | 24 June 2024 00:00:00 | Pompilidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Proctotrupidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Scelionidae | 1 |
| NH2 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Siricidae | 0 |
| NH2 | 24 June 2024 00:00:00 | Tachinidae | 1 |
| NH2 | 24 June 2024 00:00:00 | Tenthredinidae | 1 |
| NH2 | 24 June 2024 00:00:00 | Vespidae | 1 |
| NH2 | 1 July 2024 00:00:00 | Ampulicidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Apidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Argidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Astatidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Bethylidae | 1 |
| NH2 | 1 July 2024 00:00:00 | Braconidae | 11 |
| NH2 | 1 July 2024 00:00:00 | Ceraphronidae | 4 |
| NH2 | 1 July 2024 00:00:00 | Chalcidoidea | 9 |
| NH2 | 1 July 2024 00:00:00 | Chrysididae | 0 |
| NH2 | 1 July 2024 00:00:00 | Crabronidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Cynipoidea | 4 |
| NH2 | 1 July 2024 00:00:00 | Diapriidae | 11 |
| NH2 | 1 July 2024 00:00:00 | Dryinidae | 2 |
| NH2 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Evaniidae | 2 |
| NH2 | 1 July 2024 00:00:00 | Formicidae | 11 |
| NH2 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Heloridae | 0 |
| NH2 | 1 July 2024 00:00:00 | Ichneumonidae | 25 |
| NH2 | 1 July 2024 00:00:00 | Megaspilidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Nyssonidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Pemphredonidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Platygastridae | 14 |
| NH2 | 1 July 2024 00:00:00 | Pompilidae | 2 |
| NH2 | 1 July 2024 00:00:00 | Proctotrupidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Scelionidae | 3 |
| NH2 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Siricidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Tachinidae | 2 |
| NH2 | 1 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH2 | 1 July 2024 00:00:00 | Vespidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Ampulicidae | 1 |
| NH2 | 22 July 2024 00:00:00 | Apidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Argidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Astatidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Bethylidae | 1 |
| NH2 | 22 July 2024 00:00:00 | Braconidae | 7 |
| NH2 | 22 July 2024 00:00:00 | Ceraphronidae | 2 |
| NH2 | 22 July 2024 00:00:00 | Chalcidoidea | 4 |
| NH2 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| NH2 | 22 July 2024 00:00:00 | Crabronidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Cynipoidea | 0 |
| NH2 | 22 July 2024 00:00:00 | Diapriidae | 6 |
| NH2 | 22 July 2024 00:00:00 | Dryinidae | 1 |
| NH2 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Evaniidae | 5 |
| NH2 | 22 July 2024 00:00:00 | Formicidae | 39 |
| NH2 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Heloridae | 0 |
| NH2 | 22 July 2024 00:00:00 | Ichneumonidae | 19 |
| NH2 | 22 July 2024 00:00:00 | Megaspilidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Nyssonidae | 2 |
| NH2 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Pemphredonidae | 1 |
| NH2 | 22 July 2024 00:00:00 | Philanthidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Platygastridae | 2 |
| NH2 | 22 July 2024 00:00:00 | Pompilidae | 1 |
| NH2 | 22 July 2024 00:00:00 | Proctotrupidae | 1 |
| NH2 | 22 July 2024 00:00:00 | Scelionidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Siricidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH2 | 22 July 2024 00:00:00 | Vespidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Apidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Argidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Astatidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Braconidae | 1 |
| NH2 | 29 July 2024 00:00:00 | Ceraphronidae | 1 |
| NH2 | 29 July 2024 00:00:00 | Chalcidoidea | 0 |
| NH2 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| NH2 | 29 July 2024 00:00:00 | Crabronidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Cynipoidea | 0 |
| NH2 | 29 July 2024 00:00:00 | Diapriidae | 3 |
| NH2 | 29 July 2024 00:00:00 | Dryinidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Formicidae | 5 |
| NH2 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Heloridae | 0 |
| NH2 | 29 July 2024 00:00:00 | Ichneumonidae | 8 |
| NH2 | 29 July 2024 00:00:00 | Megaspilidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Nyssonidae | 1 |
| NH2 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Platygastridae | 0 |
| NH2 | 29 July 2024 00:00:00 | Pompilidae | 1 |
| NH2 | 29 July 2024 00:00:00 | Proctotrupidae | 1 |
| NH2 | 29 July 2024 00:00:00 | Scelionidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Siricidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Tachinidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH2 | 29 July 2024 00:00:00 | Vespidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Apidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Argidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Astatidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Braconidae | 1 |
| NH2 | 19 August 2024 00:00:00 | Ceraphronidae | 3 |
| NH2 | 19 August 2024 00:00:00 | Chalcidoidea | 3 |
| NH2 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| NH2 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Cynipoidea | 0 |
| NH2 | 19 August 2024 00:00:00 | Diapriidae | 1 |
| NH2 | 19 August 2024 00:00:00 | Dryinidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Evaniidae | 1 |
| NH2 | 19 August 2024 00:00:00 | Formicidae | 6 |
| NH2 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Heloridae | 0 |
| NH2 | 19 August 2024 00:00:00 | Ichneumonidae | 2 |
| NH2 | 19 August 2024 00:00:00 | Megaspilidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Platygastridae | 1 |
| NH2 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Proctotrupidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Scelionidae | 2 |
| NH2 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Siricidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH2 | 19 August 2024 00:00:00 | Vespidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Apidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Argidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Astatidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Braconidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Ceraphronidae | 1 |
| NH2 | 26 August 2024 00:00:00 | Chalcidoidea | 1 |
| NH2 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| NH2 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| NH2 | 26 August 2024 00:00:00 | Diapriidae | 2 |
| NH2 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Formicidae | 3 |
| NH2 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Heloridae | 0 |
| NH2 | 26 August 2024 00:00:00 | Ichneumonidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Megaspilidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Pamphilidae | 1 |
| NH2 | 26 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Platygastridae | 0 |
| NH2 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Proctotrupidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Scelionidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Siricidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH2 | 26 August 2024 00:00:00 | Vespidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Ampulicidae | 8 |
| NH3 | 24 June 2024 00:00:00 | Apidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Argidae | 1 |
| NH3 | 24 June 2024 00:00:00 | Astatidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Braconidae | 23 |
| NH3 | 24 June 2024 00:00:00 | Ceraphronidae | 17 |
| NH3 | 24 June 2024 00:00:00 | Chalcidoidea | 24 |
| NH3 | 24 June 2024 00:00:00 | Chrysididae | 2 |
| NH3 | 24 June 2024 00:00:00 | Crabronidae | 1 |
| NH3 | 24 June 2024 00:00:00 | Cynipoidea | 10 |
| NH3 | 24 June 2024 00:00:00 | Diapriidae | 171 |
| NH3 | 24 June 2024 00:00:00 | Dryinidae | 3 |
| NH3 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Evaniidae | 1 |
| NH3 | 24 June 2024 00:00:00 | Formicidae | 13 |
| NH3 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Heloridae | 0 |
| NH3 | 24 June 2024 00:00:00 | Ichneumonidae | 68 |
| NH3 | 24 June 2024 00:00:00 | Megaspilidae | 2 |
| NH3 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Pemphredonidae | 7 |
| NH3 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Platygastridae | 19 |
| NH3 | 24 June 2024 00:00:00 | Pompilidae | 7 |
| NH3 | 24 June 2024 00:00:00 | Proctotrupidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Scelionidae | 4 |
| NH3 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Siricidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Tachinidae | 1 |
| NH3 | 24 June 2024 00:00:00 | Tenthredinidae | 0 |
| NH3 | 24 June 2024 00:00:00 | Vespidae | 8 |
| NH3 | 1 July 2024 00:00:00 | Ampulicidae | 6 |
| NH3 | 1 July 2024 00:00:00 | Apidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Argidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Astatidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Bethylidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Braconidae | 21 |
| NH3 | 1 July 2024 00:00:00 | Ceraphronidae | 18 |
| NH3 | 1 July 2024 00:00:00 | Chalcidoidea | 38 |
| NH3 | 1 July 2024 00:00:00 | Chrysididae | 1 |
| NH3 | 1 July 2024 00:00:00 | Crabronidae | 3 |
| NH3 | 1 July 2024 00:00:00 | Cynipoidea | 16 |
| NH3 | 1 July 2024 00:00:00 | Diapriidae | 119 |
| NH3 | 1 July 2024 00:00:00 | Dryinidae | 6 |
| NH3 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Evaniidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Formicidae | 9 |
| NH3 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Heloridae | 0 |
| NH3 | 1 July 2024 00:00:00 | Ichneumonidae | 70 |
| NH3 | 1 July 2024 00:00:00 | Megaspilidae | 2 |
| NH3 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Nyssonidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Pemphredonidae | 1 |
| NH3 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Platygastridae | 11 |
| NH3 | 1 July 2024 00:00:00 | Pompilidae | 5 |
| NH3 | 1 July 2024 00:00:00 | Proctotrupidae | 1 |
| NH3 | 1 July 2024 00:00:00 | Scelionidae | 6 |
| NH3 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Siricidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Tachinidae | 0 |
| NH3 | 1 July 2024 00:00:00 | Tenthredinidae | 1 |
| NH3 | 1 July 2024 00:00:00 | Vespidae | 11 |
| NH3 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Apidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Argidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Astatidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Braconidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Ceraphronidae | 6 |
| NH3 | 22 July 2024 00:00:00 | Chalcidoidea | 4 |
| NH3 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| NH3 | 22 July 2024 00:00:00 | Crabronidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Cynipoidea | 1 |
| NH3 | 22 July 2024 00:00:00 | Diapriidae | 5 |
| NH3 | 22 July 2024 00:00:00 | Dryinidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Evaniidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Formicidae | 3 |
| NH3 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Heloridae | 0 |
| NH3 | 22 July 2024 00:00:00 | Ichneumonidae | 3 |
| NH3 | 22 July 2024 00:00:00 | Megaspilidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Nyssonidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Pemphredonidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Philanthidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Platygastridae | 0 |
| NH3 | 22 July 2024 00:00:00 | Pompilidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Proctotrupidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Scelionidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Siricidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| NH3 | 22 July 2024 00:00:00 | Tenthredinidae | 1 |
| NH3 | 22 July 2024 00:00:00 | Vespidae | 1 |
| NH3 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Apidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Argidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Astatidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Braconidae | 13 |
| NH3 | 29 July 2024 00:00:00 | Ceraphronidae | 4 |
| NH3 | 29 July 2024 00:00:00 | Chalcidoidea | 7 |
| NH3 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| NH3 | 29 July 2024 00:00:00 | Crabronidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Cynipoidea | 4 |
| NH3 | 29 July 2024 00:00:00 | Diapriidae | 23 |
| NH3 | 29 July 2024 00:00:00 | Dryinidae | 2 |
| NH3 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Formicidae | 5 |
| NH3 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Heloridae | 0 |
| NH3 | 29 July 2024 00:00:00 | Ichneumonidae | 11 |
| NH3 | 29 July 2024 00:00:00 | Megaspilidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Nyssonidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Pemphredonidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Platygastridae | 4 |
| NH3 | 29 July 2024 00:00:00 | Pompilidae | 1 |
| NH3 | 29 July 2024 00:00:00 | Proctotrupidae | 2 |
| NH3 | 29 July 2024 00:00:00 | Scelionidae | 1 |
| NH3 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Siricidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Tachinidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH3 | 29 July 2024 00:00:00 | Vespidae | 10 |
| NH3 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Apidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Argidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Astatidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Braconidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Ceraphronidae | 3 |
| NH3 | 19 August 2024 00:00:00 | Chalcidoidea | 6 |
| NH3 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| NH3 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Cynipoidea | 1 |
| NH3 | 19 August 2024 00:00:00 | Diapriidae | 8 |
| NH3 | 19 August 2024 00:00:00 | Dryinidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Formicidae | 2 |
| NH3 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Heloridae | 0 |
| NH3 | 19 August 2024 00:00:00 | Ichneumonidae | 7 |
| NH3 | 19 August 2024 00:00:00 | Megaspilidae | 1 |
| NH3 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Platygastridae | 0 |
| NH3 | 19 August 2024 00:00:00 | Pompilidae | 1 |
| NH3 | 19 August 2024 00:00:00 | Proctotrupidae | 1 |
| NH3 | 19 August 2024 00:00:00 | Scelionidae | 1 |
| NH3 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Siricidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH3 | 19 August 2024 00:00:00 | Vespidae | 3 |
| NH3 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Apidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Argidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Astatidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Braconidae | 1 |
| NH3 | 26 August 2024 00:00:00 | Ceraphronidae | 1 |
| NH3 | 26 August 2024 00:00:00 | Chalcidoidea | 3 |
| NH3 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| NH3 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Cynipoidea | 1 |
| NH3 | 26 August 2024 00:00:00 | Diapriidae | 3 |
| NH3 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Formicidae | 4 |
| NH3 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Heloridae | 0 |
| NH3 | 26 August 2024 00:00:00 | Ichneumonidae | 5 |
| NH3 | 26 August 2024 00:00:00 | Megaspilidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Platygastridae | 0 |
| NH3 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Proctotrupidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Scelionidae | 2 |
| NH3 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Siricidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH3 | 26 August 2024 00:00:00 | Vespidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Ampulicidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Apidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Argidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Astatidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Bethylidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Braconidae | 20 |
| NH4 | 24 June 2024 00:00:00 | Ceraphronidae | 21 |
| NH4 | 24 June 2024 00:00:00 | Chalcidoidea | 21 |
| NH4 | 24 June 2024 00:00:00 | Chrysididae | 0 |
| NH4 | 24 June 2024 00:00:00 | Crabronidae | 1 |
| NH4 | 24 June 2024 00:00:00 | Cynipoidea | 2 |
| NH4 | 24 June 2024 00:00:00 | Diapriidae | 235 |
| NH4 | 24 June 2024 00:00:00 | Dryinidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Embolemidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Evaniidae | 5 |
| NH4 | 24 June 2024 00:00:00 | Formicidae | 128 |
| NH4 | 24 June 2024 00:00:00 | Gasterupidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Heloridae | 0 |
| NH4 | 24 June 2024 00:00:00 | Ichneumonidae | 61 |
| NH4 | 24 June 2024 00:00:00 | Megaspilidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Mellinidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Nyssonidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Pamphilidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Pemphredonidae | 2 |
| NH4 | 24 June 2024 00:00:00 | Philanthidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Platygastridae | 34 |
| NH4 | 24 June 2024 00:00:00 | Pompilidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Proctotrupidae | 1 |
| NH4 | 24 June 2024 00:00:00 | Scelionidae | 1 |
| NH4 | 24 June 2024 00:00:00 | Scoliidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Siricidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Tachinidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Tenthredinidae | 0 |
| NH4 | 24 June 2024 00:00:00 | Vespidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Ampulicidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Apidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Argidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Astatidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Bethylidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Braconidae | 34 |
| NH4 | 1 July 2024 00:00:00 | Ceraphronidae | 44 |
| NH4 | 1 July 2024 00:00:00 | Chalcidoidea | 17 |
| NH4 | 1 July 2024 00:00:00 | Chrysididae | 0 |
| NH4 | 1 July 2024 00:00:00 | Crabronidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Cynipoidea | 5 |
| NH4 | 1 July 2024 00:00:00 | Diapriidae | 211 |
| NH4 | 1 July 2024 00:00:00 | Dryinidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Embolemidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Evaniidae | 4 |
| NH4 | 1 July 2024 00:00:00 | Formicidae | 46 |
| NH4 | 1 July 2024 00:00:00 | Gasterupidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Heloridae | 1 |
| NH4 | 1 July 2024 00:00:00 | Ichneumonidae | 56 |
| NH4 | 1 July 2024 00:00:00 | Megaspilidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Mellinidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Nyssonidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Pamphilidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Pemphredonidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Philanthidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Platygastridae | 12 |
| NH4 | 1 July 2024 00:00:00 | Pompilidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Proctotrupidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Scelionidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Scoliidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Siricidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Tachinidae | 0 |
| NH4 | 1 July 2024 00:00:00 | Tenthredinidae | 1 |
| NH4 | 1 July 2024 00:00:00 | Vespidae | 6 |
| NH4 | 22 July 2024 00:00:00 | Ampulicidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Apidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Argidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Astatidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Bethylidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Braconidae | 13 |
| NH4 | 22 July 2024 00:00:00 | Ceraphronidae | 12 |
| NH4 | 22 July 2024 00:00:00 | Chalcidoidea | 8 |
| NH4 | 22 July 2024 00:00:00 | Chrysididae | 0 |
| NH4 | 22 July 2024 00:00:00 | Crabronidae | 1 |
| NH4 | 22 July 2024 00:00:00 | Cynipoidea | 1 |
| NH4 | 22 July 2024 00:00:00 | Diapriidae | 55 |
| NH4 | 22 July 2024 00:00:00 | Dryinidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Embolemidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Evaniidae | 2 |
| NH4 | 22 July 2024 00:00:00 | Formicidae | 64 |
| NH4 | 22 July 2024 00:00:00 | Gasterupidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Heloridae | 0 |
| NH4 | 22 July 2024 00:00:00 | Ichneumonidae | 46 |
| NH4 | 22 July 2024 00:00:00 | Megaspilidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Mellinidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Nyssonidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Pamphilidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Pemphredonidae | 3 |
| NH4 | 22 July 2024 00:00:00 | Philanthidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Platygastridae | 23 |
| NH4 | 22 July 2024 00:00:00 | Pompilidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Proctotrupidae | 2 |
| NH4 | 22 July 2024 00:00:00 | Scelionidae | 7 |
| NH4 | 22 July 2024 00:00:00 | Scoliidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Siricidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Tachinidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH4 | 22 July 2024 00:00:00 | Vespidae | 5 |
| NH4 | 29 July 2024 00:00:00 | Ampulicidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Apidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Argidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Astatidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Bethylidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Braconidae | 10 |
| NH4 | 29 July 2024 00:00:00 | Ceraphronidae | 15 |
| NH4 | 29 July 2024 00:00:00 | Chalcidoidea | 1 |
| NH4 | 29 July 2024 00:00:00 | Chrysididae | 0 |
| NH4 | 29 July 2024 00:00:00 | Crabronidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Cynipoidea | 1 |
| NH4 | 29 July 2024 00:00:00 | Diapriidae | 13 |
| NH4 | 29 July 2024 00:00:00 | Dryinidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Embolemidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Evaniidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Formicidae | 24 |
| NH4 | 29 July 2024 00:00:00 | Gasterupidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Heloridae | 0 |
| NH4 | 29 July 2024 00:00:00 | Ichneumonidae | 19 |
| NH4 | 29 July 2024 00:00:00 | Megaspilidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Mellinidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Nyssonidae | 1 |
| NH4 | 29 July 2024 00:00:00 | Pamphilidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Pemphredonidae | 2 |
| NH4 | 29 July 2024 00:00:00 | Philanthidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Platygastridae | 11 |
| NH4 | 29 July 2024 00:00:00 | Pompilidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Proctotrupidae | 2 |
| NH4 | 29 July 2024 00:00:00 | Scelionidae | 3 |
| NH4 | 29 July 2024 00:00:00 | Scoliidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Siricidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Tachinidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Tenthredinidae | 0 |
| NH4 | 29 July 2024 00:00:00 | Vespidae | 4 |
| NH4 | 19 August 2024 00:00:00 | Ampulicidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Apidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Argidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Astatidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Bethylidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Braconidae | 1 |
| NH4 | 19 August 2024 00:00:00 | Ceraphronidae | 9 |
| NH4 | 19 August 2024 00:00:00 | Chalcidoidea | 2 |
| NH4 | 19 August 2024 00:00:00 | Chrysididae | 0 |
| NH4 | 19 August 2024 00:00:00 | Crabronidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Cynipoidea | 0 |
| NH4 | 19 August 2024 00:00:00 | Diapriidae | 5 |
| NH4 | 19 August 2024 00:00:00 | Dryinidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Embolemidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Evaniidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Formicidae | 2 |
| NH4 | 19 August 2024 00:00:00 | Gasterupidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Heloridae | 0 |
| NH4 | 19 August 2024 00:00:00 | Ichneumonidae | 3 |
| NH4 | 19 August 2024 00:00:00 | Megaspilidae | 1 |
| NH4 | 19 August 2024 00:00:00 | Mellinidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Nyssonidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Pamphilidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Philanthidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Platygastridae | 0 |
| NH4 | 19 August 2024 00:00:00 | Pompilidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Proctotrupidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Scelionidae | 6 |
| NH4 | 19 August 2024 00:00:00 | Scoliidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Siricidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Tachinidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH4 | 19 August 2024 00:00:00 | Vespidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Ampulicidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Apidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Argidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Astatidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Bethylidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Braconidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Ceraphronidae | 2 |
| NH4 | 26 August 2024 00:00:00 | Chalcidoidea | 1 |
| NH4 | 26 August 2024 00:00:00 | Chrysididae | 0 |
| NH4 | 26 August 2024 00:00:00 | Crabronidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Cynipoidea | 0 |
| NH4 | 26 August 2024 00:00:00 | Diapriidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Dryinidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Embolemidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Evaniidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Formicidae | 3 |
| NH4 | 26 August 2024 00:00:00 | Gasterupidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Heloridae | 0 |
| NH4 | 26 August 2024 00:00:00 | Ichneumonidae | 1 |
| NH4 | 26 August 2024 00:00:00 | Megaspilidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Mellinidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Nyssonidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Pamphilidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Pemphredonidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Philanthidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Platygastridae | 0 |
| NH4 | 26 August 2024 00:00:00 | Pompilidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Proctotrupidae | 2 |
| NH4 | 26 August 2024 00:00:00 | Scelionidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Scoliidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Siricidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Tachinidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Tenthredinidae | 0 |
| NH4 | 26 August 2024 00:00:00 | Vespidae | 0 |
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Figure 1.
Locations of the eight trap sites in the study area: NH [Northern habitat section: Coniferus-dominated], LH [Broadleaf dominates habitat section].
Figure 1.
Locations of the eight trap sites in the study area: NH [Northern habitat section: Coniferus-dominated], LH [Broadleaf dominates habitat section].
Figure 2.
Tree species proportions of the eight trap sites.
Figure 3.
Malaise trap (custom-built, following the standard Townes design) setup. The side containing the collecting vessel was consistently oriented to the south throughout the study.
Figure 3.
Malaise trap (custom-built, following the standard Townes design) setup. The side containing the collecting vessel was consistently oriented to the south throughout the study.
Figure 4.
Abundance of Dominant Hymenopteran Family.
Figure 5.
Bray–Curtis dissimilarity heatmap illustrating compositional differences among the eight sampling sites on 24 June 2024.
Figure 5.
Bray–Curtis dissimilarity heatmap illustrating compositional differences among the eight sampling sites on 24 June 2024.
Figure 6.
Heatmap of the Bray–Curtis dissimilarity among the eight sites on 22 July 2024.
Figure 7.
Heatmap of the Bray–Curtis dissimilarity among the eight sites on 24 August 2024.
Figure 8.
Scatterplots of all significant Spearman correlations, including canopy cover- and overshading-based relationships.
Figure 8.
Scatterplots of all significant Spearman correlations, including canopy cover- and overshading-based relationships.
Figure 9.
Canonical correlation between total abundance, the insect Shannon index, and the relative proportion of parasitoids (canonical axis 1) and the vegetation parameters—vegetation Shannon index, crown cover, and canopy cover (canonical axis 2).
Figure 9.
Canonical correlation between total abundance, the insect Shannon index, and the relative proportion of parasitoids (canonical axis 1) and the vegetation parameters—vegetation Shannon index, crown cover, and canopy cover (canonical axis 2).
Figure 10.
Temporal development of the mean abundance of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites, including standard errors SE/SD (standard error/standard deviation), as well as their summed abundance across the six sampling dates.
Figure 10.
Temporal development of the mean abundance of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites, including standard errors SE/SD (standard error/standard deviation), as well as their summed abundance across the six sampling dates.
Figure 11.
Temporal trajectories of the abundances of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae, as well as their total abundance.
Figure 11.
Temporal trajectories of the abundances of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae, as well as their total abundance.
Figure 12.
Temporal trajectory of the mean Shannon index of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites, including standard errors. “mean” refers to the arithmetic mean of the parasitoid Shannon diversity index across all sampling locations (LH1–LH4 and NH1–NH4) for each sampling date.
Figure 12.
Temporal trajectory of the mean Shannon index of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites, including standard errors. “mean” refers to the arithmetic mean of the parasitoid Shannon diversity index across all sampling locations (LH1–LH4 and NH1–NH4) for each sampling date.
Figure 13.
Linear mixed model of the temporal trend in the mean abundance of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites.
Figure 13.
Linear mixed model of the temporal trend in the mean abundance of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites.
Figure 14.
Linear mixed model of the temporal trend in the mean Shannon index of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites.
Figure 14.
Linear mixed model of the temporal trend in the mean Shannon index of the parasitoid families Braconidae, Ichneumonidae, and Tachinidae across all eight sites.
Table 1.
Tests for normality and homoscedasticity of the residuals of the linear mixed models of the parasitoids.
Table 1.
Tests for normality and homoscedasticity of the residuals of the linear mixed models of the parasitoids.
| Dependent Variable | p-Value Shapiro–Wilk Test | p-Value Breusch–Pagan Test |
|---|---|---|
| Total abundance | 0.086 | 0.032 |
| Total abundance (omitting outlier) | 0.165 | 0.120 |
| Shannon index | 0.002 | <2.2 × 10−16 |
| Shannon index > 0 | 0.745 | 0.641 |
Table 2.
Identified Tachinidae species with corresponding collection sites and dates.
| Species | Site, Date | Site, Date | Site, Date |
|---|---|---|---|
| Admontia grandicornis Zetterstedt, 1838 | NH3, 24 June 2024 | — | — |
| Admontia podomyia Brauer & Bergenstamm, 1889 | LH2, 1 July 2024 | — | — |
| Elodia ambulatoria Meigen, 1824 | LH3, 29 July 2024 | — | — |
| Lophosia fasciata Meigen, 1824 | LH3, 22 July 2024 | LH3, 29 July 2024 | — |
| Medina collaris Fallén, 1820 | LH3, 1 July 2024 | LH2, 29 July 2024 | — |
| Oswaldia eggeri Brauer & Bergenstamm, 1889 | LH2, 24 June 2024 | NH2, 24 June 2024 | — |
| Oswaldia spectabilis Meigen, 1824 | LH2, 1 July 2024 | — | — |
| Parasetigena silvestris Robineau-Desvoidy, 1863 | LH1, 1 July 2024 | LH2, 1 July 2024 | LH3, 1 July 2024 |
| Paratrix polonica Brauer & Bergenstamm, 1891 | LH2, 1 July 2024 | — | — |
| Phorocera assimilis Fallén, 1810 | LH4, 24 June 2024 | — | — |
| Picconia incurva Zetterstedt, 1844 | NH2, 1 July 2024 | — | — |
| Synactia parvula Rondani, 1861 | LH3, 1 July 2024 | — | — |
| Tachina fera Linnaeus, 1761 | LH3, 24 June 2024 | — | — |
| Vibrissina turrita Meigen, 1824 | LH3, 22 July 2024 | — | — |
Table 3.
Results of the multiple linear regression with insect parameters as dependent variables and the Shannon index of vegetation, together with crown cover or canopy cover as independent variables. Note: Models are based on site-level means (n = 8; residual df = 5 for models with two predictors) and are interpreted as exploratory.
Table 3.
Results of the multiple linear regression with insect parameters as dependent variables and the Shannon index of vegetation, together with crown cover or canopy cover as independent variables. Note: Models are based on site-level means (n = 8; residual df = 5 for models with two predictors) and are interpreted as exploratory.
| Model | Dependent Variable | Independent Variable 1 | Independent Variable 2 | p-Value | adj. R2 |
|---|---|---|---|---|---|
| 1 | Shannon index | Shannon vegetation | Canopy cover | 0.0367 | 0.6268 |
| 2 | Total abundance | Shannon vegetation | Canopy cover | 0.0208 | 0.7028 |
| 3 | Relative proportion of Braconidae | Shannon vegetation | Canopy cover | 0.3936 | 0.0359 |
| 4 | Relative proportion of Ichneumonidae | Shannon vegetation | Canopy cover | 0.0390 | 0.6177 |
| 5 | Relative proportion of Tachinidae | Shannon vegetation | Canopy cover | 0.8244 | −0.2959 |
| 6 | Relative proportion of parasitoids | Shannon vegetation | Canopy cover | 0.1003 | 0.4421 |
| 7 | Shannon index of parasitoids | Shannon vegetation | Canopy cover | 0.8282 | −0.2983 |
| 8 | Shannon index | Shannon vegetation | Crown cover | 0.1103 | 0.4205 |
| 9 | Total abundance | Shannon vegetation | Crown cover | 0.0948 | 0.4544 |
| 10 | Relative proportion of Braconidae | Shannon vegetation | Crown cover | 0.5441 | −0.0975 |
| 11 | Relative proportion of Ichneumonidae | Shannon vegetation | Crown cover | 0.0523 | 0.5699 |
| 12 | Relative proportion of Tachinidae | Shannon vegetation | Crown cover | 0.8255 | −0.2966 |
| 13 | Relative proportion of parasitoids | Shannon vegetation | Crown cover | 0.1510 | 0.3427 |
| 14 | Shannon index of parasitoids | Shannon vegetation | Crown cover | 0.8155 | −0.2903 |
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Jordan-Fragstein, C.C.; Linke, R.; Müller, M.G. Structure–Diversity Relationships in Parasitoids of a Central European Temperate Forest. Forests 2026, 17, 106. https://doi.org/10.3390/f17010106
AMA Style
Jordan-Fragstein CC, Linke R, Müller MG. Structure–Diversity Relationships in Parasitoids of a Central European Temperate Forest. Forests. 2026; 17(1):106. https://doi.org/10.3390/f17010106
Chicago/Turabian StyleJordan-Fragstein, Claudia Corina, Roman Linke, and Michael Gunther Müller. 2026. "Structure–Diversity Relationships in Parasitoids of a Central European Temperate Forest" Forests 17, no. 1: 106. https://doi.org/10.3390/f17010106
APA StyleJordan-Fragstein, C. C., Linke, R., & Müller, M. G. (2026). Structure–Diversity Relationships in Parasitoids of a Central European Temperate Forest. Forests, 17(1), 106. https://doi.org/10.3390/f17010106
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