Search Results (2,097)

This study aimed to identify the main environmental drivers of the potential ranges of the rare species Hedysarum grandiflorum and Hedysarum argyrophyllum, to compare their ecological responses, and to assess changes in habitat suitability under current and projected climate conditions. The modeling program MaxEnt was used, with predictors including climate variables from CHELSA Bioclim, a digital elevation model, and variables from the SoilGrids global digital soil mapping system. The results indicate that climatic and orographic variables play a key role in determining the potential ranges of both species. The distribution of H. grandiflorum is more strongly influenced by soil properties, notably cation exchange capacity, whereas H. argyrophyllum is associated with nutrient-poor substrates. Model projections under the RCP4.5 and RCP8.5 climate scenarios suggest a potential local increase in modeled habitat suitability during 2040–2060, followed by a decline in highly suitable areas during 2060–2080, particularly for H. argyrophyllum. Although the models do not project complete extinction or a uniform large-scale reduction in the total potential range for either species, they indicate substantial regional declines in habitat suitability and marked reductions in the number of highly suitable habitats under the future climate scenarios considered. Model outputs can help identify areas of high and stable suitability that may serve as priorities for the monitoring or reintroduction of these species. Full article

Climate change poses significant threats to Mediterranean plant species, including Laurus nobilis L., an ecologically and economically important tree. This study evaluates potential shifts in its suitable distribution areas across Türkiye under future climate scenarios [Shared Socioeconomic Pathway 2-4.5 (SSP2-4.5) and 5-8.5 (SSP5-8.5)] using an ensemble species distribution model incorporating ten algorithms. Key environmental drivers—elevation, annual mean temperature (Bio1), and evaporation including sublimation and transpiration (evspsbl)—were identified as critical factors influencing habitat suitability. Results indicate substantial spatial redistributions, with habitat losses projected in inland transition zones toward continental climates, particularly in parts of the Aegean and Black Sea regions. The current suitable distribution area across the country, approximately 18.48%, could rise to 18.55% by 2040 under the SSP2-4.5 scenario and to 18.76% by 2060 under the SSP5-8.5 scenario. However, without human intervention, the species’ establishment in these new suitable distribution areas is not considered possible. Moreover, it has been determined that the suitable distribution area of the species could decrease to 17.48% by 2060 under the SSP2-4.5 scenario and to 17.31% by 2080 under the SSP5-85 scenario. This result indicates that there could be a loss of more than 8% of the suitable distribution area between 2060 and 2080, according to the SSP5-8.5 scenario. Conversely, limited expansions may occur in specific areas, including the northern Aegean and the Hatay-Antep region. By 2100, despite periodic fluctuations, a net decline in suitable habitats is expected under both scenarios. Notably, spatial analysis reveals that while some newly suitable areas may emerge, natural migration will likely be insufficient for population persistence, necessitating human-assisted adaptation strategies. These findings underscore the need for proactive conservation measures, such as identifying climate-resilient provenances, assisted migration, and targeted reforestation in future suitable zones. Given that most Turkish forests are state-managed, collaboration with the General Directorate of Forestry is essential to integrate climate adaptation into long-term management plans. This study provides a framework for mitigating climate-induced habitat loss in L. nobilis while offering insights applicable to other vulnerable Mediterranean species facing similar threats. Full article

To clarify the compositional characteristics and functional mechanisms of gut microbial communities in wild earwigs (Dermaptera) and explore the potential of earwigs for development and utilization as natural enemies, this study conducted a comparative analysis of the gut microbial diversity and community structure of two earwig species, Timomenus komarovi (Semenov, 1901) and Eudohrnia metallica (Dohrn, 1865), which are widely distributed in mulberry orchards and cornfields of Guizhou Province, China. It also predicted the microbial functions based on the third-generation high-throughput sequencing technology targeting the 16S rRNA gene. The results showed that the two earwig species across different habitats and geographical regions harbored a similar core microbial flora. The dominant phyla of gut microbiota were Proteobacteria, Firmicutes. PICRUSt2 functional prediction analysis revealed that the functions of intestinal bacteria in earwigs were mainly concentrated in metabolism-related pathways. Through multi-dimensional analysis, it was confirmed that the gut microbial communities of earwigs were constructed following the “core-specialization” model. The core microbial communities exhibited high conservatism. Host species were the core factor shaping the composition of earwig gut microbial communities. Habitats could further regulate the commonness and diversity characteristics of the microbial communities, while geographical regions had an extremely weak impact on the gut microbial communities. Significant differences were observed in the gut microbial adaptation strategies between the two earwig species, which determined their distinct development potential and application scenarios as natural enemy insects: T. komarovi is suitable for development as a broad-spectrum natural enemy, while E. metallica is more appropriate for targeted development based on its microbial community characteristics. All data supporting the findings of this study are accessible in the NCBI database under BioProject accession number PRJNA1449822. This study provides a theoretical basis for exploring the functional mechanisms of intestinal microbes in dermapteran insects and supporting the development and utilization of these natural enemy resources. Full article

Climate-based suitable habitats were projected for the endangered submerged macrophyte Ottelia acuminata under current and future climates (2050s–2090s) across three Shared Socioeconomic Pathways (SSPs: SSP126, SSP245, and SSP585, corresponding to SSP1-2.6, SSP2-4.5, and SSP5-8.5, respectively) using the Maximum Entropy (MaxEnt) model with 126 occurrence points and eight environmental variables. The four dominant climatic factors were Precipitation of the Driest Quarter (34.7%), Isothermality (24.2%), Temperature Annual Range (17.9%), and Mean Temperature of the Coldest Quarter (11.7%). Under the current climate, the total suitable area is 121.07 × 10⁴ km², mainly in northern and eastern Yunnan. Under future scenarios, the total suitable area expands, peaking at +17.1% under SSP245 in the 2070s, but undergoes substantial internal reconfiguration: moderately suitable areas increase by 95.2% under SSP585 in the 2090s while low-suitability areas decline sharply, and core-habitat loss is greatest under SSP126. The distribution centroid consistently shifts westward (maximum 83.3 km), driven by newly suitable areas in the west and north. We propose a zonal conservation strategy grounded in these climate-envelope projections, while emphasizing that additional data on hydrology, water quality, and dispersal are required to translate these results into operational conservation actions. These findings provide a macroecological basis for informing climate-adaptive conservation of O. acuminata. Full article

Salmonid fish only reproduce in habitats that meet specific environmental requirements, including appropriate gravel–cobble substrate, suitable flow velocity, and adequate oxygenation. Long-term drainage practices and river channel regulation have led to substantial alterations of river systems, particularly affecting bed structure. The aim of this study was to assess habitat conditions in the Ina river catchment and to restore spawning grounds for salmon and sea trout through the construction of artificial redds, as well as to evaluate the effectiveness of these measures over subsequent years. The number of fish nests recorded prior to the implementation of the restoration project in 2011 was significantly lower (3 ± 1, mean ± SD) compared to post-restoration periods in 2013 (23 ± 11) and 2015 (21 ± 14). Spawning nests were predominantly located in areas characterized by high flow velocity and elevated water conductivity, hardness, and alkalinity. During the spawning migrations in 2013–2015, a total of 4593 individuals were recorded using a fish scanner. Despite a gradual decline in water levels from pre-restoration to post-restoration periods, the number of nests remained consistently high. The results indicate that ongoing environmental and climatic changes necessitate continued efforts to improve spawning conditions for anadromous salmonids. Currently (2024–2025), the potential for natural reproduction in the Ina River catchment remains comparable to the study period (89 redds), largely determined by the availability of gravel habitats and river discharge enabling upstream migration. Full article

This study investigates the reuse of mussel shell waste as a secondary raw material in bio-cement mortars designed for the additive manufacturing of artificial reefs for marine habitat restoration. The novelty of the research lies in combining a high recycled shell content (60 wt.%), low-clinker cement, and two 3D-printing techniques: Extruded Material Systems (EMS) and Powder-Based Systems (PBS). Mechanical performance was evaluated through flexural and compressive tests after 7, 28, and 91 days under both air and freshwater curing conditions, while environmental impacts were assessed through Life Cycle Assessment (LCA). The LCA evaluated both the environmental performance of shell-based mixtures compared with conventional materials and the impacts associated with the investigated fabrication techniques. The best-performing bio-mixtures achieved compressive strengths up to 46.01 MPa and flexural strengths up to 9.91 MPa after freshwater curing, demonstrating the suitability of shell-based mortars for submerged applications. LCA results showed reduced impacts in land use and mineral resource depletion compared with conventional mixtures, despite slightly higher energy and water demands associated with shell pre-treatment. The results demonstrate the technical and environmental feasibility of integrating aquaculture waste into sustainable 3D-printed marine restoration solutions. Full article

Climate change and intensifying extreme weather events challenge plant adaptability, making the evaluation of adaptive potential imperative. This study aims to identify climatically stable habitats for Rhododendron dauricum, a nationally protected (Class II) shrub species in China. Species occurrence records were integrated with multiple environmental datasets, and habitat suitability was inferred using a maximum entropy model under current and future climate scenarios. The model outputs indicate that habitat suitability is primarily driven by temperature and moisture, vegetation plays a secondary role, and topographic and soil factors are less influential. Projections show a consistent contraction of suitable habitats, particularly in highly suitable areas, with stronger declines under higher emission scenarios and longer time horizons. Spatial patterns shift from continuous to fragmented distributions, with suitable habitats increasingly concentrated in the northeastern regions and northern mountain ranges. Core areas that remain suitable across scenarios are identified through multi-scenario consistency analysis, representing climatically stable regions. These areas should be prioritized for in situ conservation, while populations maintaining high suitability across scenarios may serve as candidate provenances for ex situ conservation and future landscape deployment. This study elucidates the adaptive potential of R. dauricum under future climate scenarios and identifies key environmental drivers, informing conservation, breeding, and climate-adaptive management. Full article

To assess the potential risk of expansion of the sweet potato weevil (Cylas formicarius) in China under climate change, we combined principal component analysis in environmental space (PCA-env) with a Biomod2 ensemble model, using 173 occurrence records from its native range in India and its invaded range in China. We quantified the dynamics of the climatic niche between the native and invaded ranges and projected both current and future climatically suitable areas in China. Precipitation during the wettest month (Bio13), mean temperature during the driest quarter (Bio9), and isothermality (Bio3) were the key climatic predictors. Niche overlap between India and China was low (Schoener’s D = 0.107). The invaded niche was characterized by high stability (0.991) with very limited expansion (0.009), indicating strong niche conservatism. However, a relatively high unfilling value (0.633) suggests that the species has not yet occupied all potentially suitable climatic space in China. The current suitable area was estimated at 37.55 × 10⁴ km², primarily concentrated in South China and the southeastern coastal region. Under future climate scenarios, suitable habitat is projected to expand overall, extending into Central, Eastern, and Southwestern China. This study provides a climate-informed forecasting framework for assessing the potential spread of C. formicarius in China and offers practical support for quarantine surveillance and region-specific management. Full article

Quercus baronii Skan (Q. baronii) is an ecologically important tree species in arid and soil erosion-prone areas of northern China, and also holds significant potential as a bioenergy tree species, providing substantial ecological benefits. Global climate change has profoundly influenced the suitable habitats and habitat fragmentation of Quercus baronii forests. This study employed the Maximum Entropy (MaxEnt) model to project the current and future suitable habitats of Q. baronii forests, along with their trends of contraction and expansion. Concurrently, composite landscape indices were used to assess the fragmentation of these suitable habitats. The results indicate that the suitable habitats for Q. baronii forests are primarily located in the eastern part of Northwest China, the northern part of Central China, and the southern part of North China. Minimum temperature of the coldest month (bio6), annual precipitation (bio12), and temperature seasonality (bio4) emerged as the primary determinants of habitat suitability. Under three future climate scenarios, the centroid of suitable habitats for Q. baronii forests is projected to shift towards higher latitudes in the northwest, with the elevation of suitable habitats also gradually rising in tandem with increased carbon emissions. Under low carbon emission scenarios, the extent of suitable habitat for Q. baronii forests is expected to expand; under medium and high carbon emission scenarios, it is expected to first increase and then decline. Although over two-thirds of the suitable habitat for Q. baronii forests is projected to remain relatively intact, future suitable habitats are expected to be more fragmented compared to the present. This fragmentation is projected to intensify with increasing carbon emissions, primarily occurring at the edges of the suitable areas. The results of this study lay the groundwork for both the preservation of forest biodiversity and the ecological conservation and sustainable management of temperate broad-leaved forest ecosystems. Full article

The anthropogenic transformation of the steppe zone in the southern East European Plain has led to the destruction and catastrophic fragmentation of natural ecosystems. Due to the presence of highly fertile lands and the deposits of the Donetsk coal basin, up to 90% of the territory is occupied by agricultural and industrial activities, urban agglomerations, other settlements, and extensive transportation networks. The predominant use of introduced species in artificial plantings (within the city limits, the ratio of species to quantity is 7:3) leads to the widespread spread of alien species, further isolation of natural habitats, and their subsequent degradation. The problem of preserving natural ecosystems and restoring a stable balance in their functioning can be solved through the widespread introduction of native species into all types of plantings capable of serving as ecological corridors. In this regard, we analyzed the key characteristics of native tree and shrub species that determine their functional value. The results indicate that of the 85 native plant species, only two cannot be used because they carry pests and diseases dangerous to agricultural crops. The remaining 83 species are suitable for various planting types, based on a set of individual characteristics, and 29 of these are universal for all planting types. Outside urban ecosystems, these 83 native species can completely replace introduced species. Within urban ecosystems, the need for their combination remains. Despite a number of advantages identified in native species in conditions of anthropogenic pollution (relatively high viability, long lifespan, good resistance to mechanical stress), native species lack a number of categories of traits necessary for the more effective functioning of urban green infrastructure. Among them, there is an insufficient number of tall species (>25 m) and conifers, which are more effective in purifying and improving the health of the atmosphere, as well as beautifully flowering and generally highly decorative species necessary for recreational areas and other territories that, among other things, perform esthetic functions. Full article

Remote sensing technologies provide valuable geospatial data for analyzing environmental conditions and for supporting spatial ecological modeling across large, heterogeneous landscapes. In this study, multi-source remote sensing–derived environmental variables were integrated with ensemble machine learning techniques to model the habitat suitability of the common leopard (Panthera pardus) in Azad Jammu and Kashmir (AJ&K), Pakistan. Environmental predictors derived from satellite observations included land cover, vegetation condition, terrain attributes, and climate-related indicators. To ensure model reliability, multicollinearity among predictors was evaluated, and spatial clustering patterns of leopard occurrence records were examined using global spatial autocorrelation analysis. Two complementary machine learning algorithms, Maximum Entropy (MaxEnt) and Random Forest (RF), were implemented and integrated through a weighted ensemble approach to improve predictive accuracy and robustness. The ensemble model achieved high predictive performance with an area under the curve (AUC) value of 0.942, outperforming individual algorithms. The resulting habitat suitability map indicates that approximately 30% of the study region is highly suitable habitat, primarily in the northern and central districts, including Muzaffarabad, Neelum, Hattian, Poonch, and Sudhnutti. Variable importance analysis identified remotely sensed land cover, elevation, vegetation cover, slope, and temperature seasonality as the dominant predictors of habitat suitability, whereas anthropogenic indicators such as proximity to roads and population density had secondary effects in fragmented areas. The results demonstrate the potential of integrating remote sensing data and ensemble machine learning for spatial habitat modeling and wildlife conservation planning in mountainous ecosystems. Full article

(1) Pholidoptera griseoaptera (De Geer, 1773) (Orthoptera, Tettigoniidae) is a common and widespread inhabitant of forest edges in Europe and may therefore serve as a suitable model species for understanding past and future changes in forest wildlife. (2) We recorded the presence or absence of the species in 189 forest and forest-edge plots within the Kaluga Region using acoustic observations and pitfall trapping, and analysed the data using logistic regression. (3) Across the region, the main positive factor affecting species presence was the dominance of nemoral herbs in the herb layer. The main negative factors were habitat isolation caused by physical barriers and location within moraine plains formed during the late stage of the Moscow glaciation. The presence of coniferous tree species and spatial autocovariation were also significant factors, although their contributions were relatively small. The abundance of Ph. griseoaptera was higher in forests located within river valleys. Within Kaluga, the long-term persistence of tree vegetation and habitat isolation were the main significant factors affecting species occurrence. The smallest urban habitat occupied by the species covered approximately 13 ha, whereas the total area of unmown patches within this habitat was only about 0.2 ha. (4) Ph. griseoaptera may be used as an indicator of the long-term persistence of broadleaved deciduous (nemoral) forests. Under conditions of high urbanization, however, the species may become threatened. Full article

The global invasion of the shrub L. camara poses a significant threat to ecosystems. Understanding the roles of human activity and climate in driving its spread is crucial for management. This study aimed to quantify its global invasion dynamics, identify key drivers, and predict future distribution shifts. We constructed a high-precision ensemble species distribution model by integrating historical global occurrence records, multi-source environmental variables (climate and human activity indices), and future climate scenarios (SSP1-2.6 and SSP5-8.5). The global invasion showed a clear four-stage acceleration pattern (1900–1960, 1961–1980, 1981–2000, and 2001–2025). Variable importance and response curve analysis revealed a two-phase “dispersal–colonization” mechanism: human activities (e.g., gross domestic product) acted as a “dispersal amplifier,” while a climatic factor (isothermality) served as a critical “colonization filter.” Under two future climate scenarios assuming unchanged human activity patterns, the potential suitable habitat of L. camara exhibits structural changes while maintaining stable total area. The highly suitable areas continue to shrink, with nearly half the area lost by the end of the century under the high-emission SSP5-8.5 pathway, while low-suitability zones expand significantly—yet the overall suitable habitat remains stable. Under SSP1-2.6, structural changes in suitable habitats occur more gradually. The study clarifies the distinct roles of human activity and climate in the invasion process, providing a scientific basis for differentiated global risk management strategies targeting dispersal pathways and colonization thresholds. Full article

Understanding the climate-driven range dynamics of the oriental hornet (Vespa orientalis) is essential for ecological risk assessment and biodiversity management. This study utilized Maximum Entropy (MaxEnt) modeling to estimate current and future (2050) habitat suitability across the Western Palearctic. The model demonstrated strong predictive performance, yielding a mean cross-validation AUC of 0.95 ± 0.01 and a TSS of 0.78 ± 0.02, indicating high stability and discriminatory capacity. Jackknife analysis and response curves identified temperature annual range (bio7) and annual precipitation (bio12) as the primary environmental drivers. The species exhibits a distinct preference for moderate thermal variability and balanced moisture regimes, while extreme summer heat (bio5) and warm winter conditions (bio11) impose significant constraints. Current projections identify a high-suitability core concentrated within the Mediterranean basin. By mid-century, projections indicate a spatial reorganization marked by localized gains mainly in the eastern part of the study region alongside suitability losses across North Africa and parts of southern Europe. Multivariate Environmental Similarity Surface (MESS) analysis confirmed high model transferability across most expansion zones, despite increased uncertainty in hyper-arid and high-altitude regions. These findings underscore the dynamic nature of the V. orientalis climatic niche and provide a critical baseline for proactive biosecurity and monitoring in emerging high-risk regions. Given the global decline in Hymenoptera diversity, this study provides timely insights into species-specific responses to climate change, supporting broader efforts in biodiversity conservation and ecological risk assessment. Full article