Search Results (114)

Understanding alpine plants’ survival and reproduction is crucial for their conservation in climate change. Based on 423 valid distribution points, this study utilizes the MaxEnt model to predict the potential habitat and distribution dynamics of Leontopodium nanum under both current and future climate scenarios, while clarifying the key factors that influence its distribution. The primary ecological drivers of distribution are altitude (2886.08 m–5576.14 m) and the mean temperature of the driest quarter (−6.60–1.55 °C). Currently, the suitable habitat area is approximately 520.28 × 10⁴ km², covering about 3.5% of the global land area, concentrated mainly in the Tibetan Plateau, with smaller regions across East and South Asia. Under future climate scenarios, low-emission (SSP126), suitable areas are projected to expand during the 2050s and 2070s. High-emission (SSP585), suitable areas may decrease by 50%, with a 66.07% reduction in highly suitable areas by the 2070s. The greatest losses are expected in the south-eastern Tibetan Plateau. Regarding dynamic habitat changes, by the 2050s, newly suitable areas will account for 51.09% of the current habitat, while 68.26% of existing habitat will become unsuitable. By the 2070s, newly suitable areas will rise to 71.86% of the current total, but the loss of existing areas will exceed these gains, particularly under the high-emission scenario. The centroid of suitable habitats is expected to shift northward, with migration distances ranging from 23.94 km to 342.42 km. The most significant shift is anticipated under the SSP126 scenario by the 2070s. This study offers valuable insights into the distribution dynamics of L. nanum and other alpine species under the context of climate change. From a conservation perspective, it is recommended to prioritize the protection and restoration of vegetation in key habitat patches or potential migration corridors, restrict overgrazing and infrastructure development, and maintain genetic diversity and dispersal capacity through assisted migration and population genetic monitoring when necessary. These measures aim to provide a robust scientific foundation for the comprehensive conservation and sustainable management of the grassland ecosystem on the Qinghai–Tibet Plateau. Full article

Andean grassland ecosystems in Peru are characterized by diverse plant species adapted to environmental factors including weather, soil type, elevation, slope orientation, and soil moisture. This study evaluated the floristic composition, alpha diversity, indicator species, and suitable species for Andean livestock in the Sillapata micro-watershed, Junín region, Peru, across rainy and dry seasons. Data collection involved 100 m linear transects, and analyses included floristic composition and dissimilarity, Shannon-Wiener (H′) and Simpson (D) diversity indices, and the identification of indicator and suitable species using QGIS vs 3.28.14 and R software vs 4.3.2. Results revealed a total of 130 species classified into 74 genera and 23 families, with Asteraceae and Poaceae as the dominant families, exhibiting variations in richness and dissimilarity between control points and seasonal periods. Alpha diversity (H′) ranged from 2.07 to 3.1867, while Simpson’s index (D) ranged from 0.7644 to 0.9234. Six indicator species were identified, along with 11 families containing suitable species, predominantly Poaceae (38–60%), Cyperaceae (11–15%), and Asteraceae (3–9%). The findings indicate that the studied ecosystem exhibits a heterogeneous floristic composition with medium to low and variable diversity, influenced by seasonal climatic changes and the current grassland management regime, which involves rotational grazing with cattle adapted to high-altitude conditions. Full article

Comprehending the alterations in wintering grounds of migratory birds amid global change and anthropogenic influences is pivotal for advancing wetland sustainability and ensuring avian conservation. Frequent extreme droughts in the middle and lower Yangtze River region of China have posed severe ecological and socio-economic dilemmas. The integration of internet-derived, crowdsourced geographic data with remote-sensing imagery now facilitates assessments of these avian habitats. Poyang Lake, China’s largest freshwater body, suffered an unprecedented drought in 2022, offering a unique case study on avian habitat responses to climate extremes. By harnessing social and online platforms’ media reports, we analyzed the types, attributes and proportions of migratory bird habitats. This crowdsourced geographic information, corroborated by Sentinel-2 optical remote-sensing imagery, elucidated the suitability and transformations of these habitats under drought stress. Our findings revealed marked variations in habitat preferences among bird species, largely attributable to divergent feeding ecologies and behavioral patterns. Dominantly, shallow waters emerged as the most favored habitat, succeeded by mudflats and grasslands. Remote-sensing analyses disclosed a stark 60% reduction in optimal habitat area during the drought phase, paralleled by a 1.5-fold increase in unsuitable habitat areas compared to baseline periods. These prime habitats were chiefly localized in Poyang Lake’s western sub-lakes. The extreme drought precipitated a drastic contraction in suitable habitat extent and heightened fragmentation. Our study underscores the value of crowdsourced geographic information in assessing habitat suitability for migratory birds. Retaining sub-lake water surfaces within large river or lake floodplains during extreme droughts emerges as a key strategy to buffer the impacts of hydrological extremes on avian habitats. This research contributes to refining conservation strategies and promoting adaptive management practices of wetlands in the face of climate change. Full article

The distribution of suitable habitats for medicinal plants is affected by climate, soil, land use, and other factors. Arnebiae Radix, an important traditional Chinese medicinal resource in Xinjiang, includes Arnebia euchroma (Royle) I. M. Johnst. and Arnebia guttata Bunge and is at risk of over-exploitation. This study predicted suitable planting areas by integrating habitat and phytochemical suitability using the MaxEnt model and ArcGIS. The AUC values for A. euchroma and A. guttata were 0.977 and 0.952, with TSS values of 0.829 and 0.725, respectively, validating the high accuracy of the prediction model. Under the current scenario, the areas of suitable habitats for A. euchroma and A. guttata were 108,914 and 176,445 km², mainly distributed along the main mountains in Xinjiang. Under future climate scenarios, the suitable habitat area of A. euchroma increased by 11–18%, except in the ssp126-2090s scenario, while the suitable habitat area of A. guttata area decreased by 3–18%. Both species were influenced by land use/land cover and soil available nitrogen content; additionally, A. euchroma was affected by the precipitation in the driest month, and A. guttata by the mean diurnal range. The content of secondary metabolites was positively correlated with habitat suitability, with soil factors contributing 35.25% to the total secondary metabolite content. Their suitable habitats predominantly occur in grasslands (42–82%). As habitat and phytochemical suitability distributions aligned, the eastern and western sides of the northern Kunlun Mountain Pass emerged as key areas for cultivation. This research can provide a scientific foundation for selecting optimal planting regions for the two Arnebia species. Full article

Surface mining activities cause severe disruption to ecosystems, resulting in the substantial destruction of surface vegetation, the loss of soil organic carbon stocks, and a decrease in the ecosystem’s ability to sequester carbon. The ecological restoration of mining areas has been found to significantly enhance the carbon storage capacity of ecosystems. This study evaluated ecological restoration strategies in Chongqing’s Tongluo Mountain mining area by integrating GF-6 satellite multispectral data (2 m panchromatic/8 m multispectral resolution) with ground surveys across 45 quadrats to develop a quadratic regression model based on vegetation indices and the field-measured biomass. The methodology quantified carbon storage variations among engineered restoration (ER), natural recovery (NR), and unmanaged sites (CWR) while identifying optimal vegetation configurations for karst ecosystems. The methodology combined the high-spatial-resolution satellite imagery for large-scale vegetation mapping with field-measured biomass calibration to enhance the quantitative accuracy, enabling an efficient carbon storage assessment across heterogeneous landscapes. This hybrid approach overcame the limitations of traditional plot-based methods by providing spatially explicit, cost-effective monitoring solutions for mining ecosystems. The results demonstrate that engineered restoration significantly enhances carbon sequestration, with the aboveground vegetation biomass reaching 5.07 ± 1.05 tC/ha, a value 21% higher than in natural recovery areas (4.18 ± 0.23 tC/ha) and 189% greater than at unmanaged sites (1.75 ± 1.03 tC/ha). In areas subjected to engineered restoration, both the vegetation and soil carbon storage showed an upward trend, with soil carbon sequestration being the primary form, contributing to 81% of the total carbon storage, and with engineered restoration areas exceeding natural recovery and unmanaged zones by 17.6% and 106%, respectively, in terms of their soil carbon density (40.41 ± 9.99 tC/ha). Significant variations in the carbon sequestration capacity were observed across vegetation types. Bamboo forests exhibited the highest carbon density (25.8 tC/ha), followed by tree forests (2.54 ± 0.53 tC/ha), while grasslands showed the lowest values (0.88 ± 0.52 tC/ha). For future restoration initiatives, it is advisable to select suitable vegetation types based on the local dominant species for a comprehensive approach. Full article

The bush cricket Saga pedo, listed as Vulnerable globally by the IUCN and included in Annex IV of the EU Habitats Directive, is a parthenogenetic species highly sensitive to environmental changes, facing threats from forest expansion and agricultural intensification. S. pedo prefers dry, open habitats with sparse vegetation, and its pronounced thermo-heliophily makes it an indicator of xerothermic habitats. In many areas of Italy, including the Northern Apennines (Piedmont), semi-natural grasslands are fragmented. Open habitats have been reduced to small, isolated patches surrounded by forests due to the abandonment of agropastoral activities. Consequently, the occurrence of open habitat species is related to the quality and availability of suitable areas and ecological connectivity. We developed a spatial Bayesian framework to identify areas of occurrence for S. pedo. Using the inverse probability of occurrence, we derived ecological corridors among suitable patches. Our findings indicate that the occurrence and connectivity of S. pedo are reduced by intensive cultivation but favored by open habitats with 10–50% woody tree cover, suggesting sustainable land management is crucial for supporting the species. Given the extinction risk S. pedo faces, we urge local administrations to maintain and improve suitable areas and guarantee the network of ecological corridors identified. Full article

Phytosociology reached its peak development during the 20th century, particularly after 1992 with the implementation of the EU Habitats Directive, which incorporated plant associations into habitat classifications. The objective of this study is to assess the diversity of Mediterranean grasslands using the phytosociological methodology, focusing specifically on the PBTs and BsHl associations. Although both types of grasslands are of interest for livestock farming, we emphasize those belonging to Poetea bulbosae (PbTs), which are included in the priority habitat 6220 and are of high value for sheep grazing. The results indicate that Vca-Vco = 0.390 for PBTs and 0.525 for BsHl, the latter due to the absence of companion species diversity in BsHl. A strong linear correlation was observed for both associations, with R² > 0.8 for PbTs and R² > 0.9 for BdHl. Given the importance of grassland diversity research, its teaching should be predominantly practical and conducted outside the classroom. To achieve this, an inquiry-based constructivist methodology is employed, which is particularly suitable for learning the phytosociological method, allowing students to take ownership of their learning process. The aim of this teaching approach is to expose students to field research methodologies, enhancing their scientific training. The results are highly positive, with a 100% success rate in students’ comprehension of the two grassland types after the teaching-learning process. Full article

Kengyilia thoroldiana (Oliv.) J. L. Yang, C. Yen, and B. R. Baum (K. thoroldiana) is a dominant species in the desertification area of the Qinghai–Tibet Plateau. In this study, based on 88 sample points of K. thoroldiana, the maximum entropy (MaxEnt) method was used to analyze the current dominant factors of the distribution area of K. thoroldiana and predict its potential distribution. The results showed that the training and test data area under the curve (AUC) were 0.934 and 0.944, which indicated the reliability of the predicted results. Based on climatic variables and the results of the “Jackknife” method, the results showed that temperature was the main driver of K. thoroldiana’s distribution. By simulating the potential distribution of K. thoroldiana, the highly suitable areas were mainly located in the west, south, and southeast of Qinghai, southwest Gansu, and eastern Tibet. In future climate scenarios, the total suitable area for K. thoroldiana showed an expanding trend. According to the Sustainable Development (SSP126) scenario, the highly suitable areas could increase by 4.72% from 2021 to 2040 compared with the current climate scenario, and the highly suitable areas could increase by 12.71% from 2041 to 2060. An increase in the suitable areas of K. thoroldiana is essential for the ecological restoration of degraded grasslands. Full article

Grasshoppers (Acridoidea) are one of the most essential components of grassland ecosystems. They are mainly primary consumers and some of them, e.g., the Italian locust, may be very important pests. The main goal of this article is to discuss possible shifts in the species distribution relative to global and local changes. General patterns of latitudinal, longitudinal, and altitudinal distribution of its populations are revealed for the eastern part of its range (mainly from 70° E eastward). Data on its historic and modern localities with geographic coordinates were collected and analyzed. The Maxent approach was used to model species distribution. The comparative analysis shows there are no significant changes in its range. The analysis of altitudinal distribution over mountains of the region demonstrates no significant changes as well. The expected distribution of Calliptamus italicus based on the location points displays significant changes in areas suitable for the species and their evident associations with outbreak occurrences. The models created for 2021–2040 and 2041–2060 unveil that, in the future, the local parts of the Italian locust range may shift northward and north-eastward, but the main areas with suitable conditions for this species will remain almost the same. Full article

Grassland degradation is a serious ecological issue in the farming–pastoral ecotone of northern China. Utilizing native grasses for the restoration of degraded grasslands is an effective technological approach. Leymus secalinus is a superior indigenous grass species for grassland ecological restoration in northern China. Therefore, the excavation of potential distribution areas of L. secalinus and important ecological factors affecting its distribution is crucial for grassland conservation and restoration of degraded grasslands. Based on 357 data points collected on the natural distribution of L. secalinus, this study employs the jackknife method and Pearson correlation analysis to screen out 23 variables affecting its spatial distribution. The MaxEnt model was used herein to predict the current suitable distribution area of L. secalinus and the suitable distribution of L. secalinus under different SSP scenarios (SSP1-26, SSP2-45, and SSP5-85) for future climate. The results showed the following: (1) Mean diurnal temperature range, annual mean temperature, precipitation of the wettest quarter, and elevation are the major factors impacting the distribution of L. secalinus. (2) Under the current climatic conditions, L. secalinus is mainly distributed in the farming–pastoral ecotone of northern China; in addition, certain suitable areas also exist in parts of Xinjiang, Tibet, Sichuan, Heilongjiang, and Jilin. (3) Under future climate change scenarios, the suitable areas for L. secalinus are generally the same as at present, with slight changes in area under different scenarios, with the largest expansion of 97,222 km² of suitable area in 2021–2040 under the SSP1-26 scenario and the largest shrinkage of potential suitable area in 2061–2080 under the SSP2-45 scenario, with 87,983 km². Notably, the northern boundary of the middle- and high-suitability areas is reduced, while the northeastern boundary and some areas of Heilongjiang and Jilin are expanded. The results of this study revealed the suitable climatic conditions and potential distribution range of L. secalinus, which can provide a reference for the conservation, introduction, and cultivation of L. secalinus in new ecological zones, avoiding the blind introduction of inappropriate habitats, and is also crucial for sustaining the economic benefits associated with L. secalinus ecological services. Full article

Analyzing habitat conditions and mapping habitat structures are crucial for monitoring ecosystems and implementing effective conservation measures, especially in the context of declining open grassland ecosystems in Europe. The marsh fritillary (Euphydryas aurinia), an endangered butterfly species, depends heavily on specific habitat conditions found in these grasslands, making it vulnerable to environmental changes. To address this, we conducted a comprehensive habitat suitability analysis within the Hainich National Park in Thuringia, Germany, leveraging very high-resolution (VHR) airborne, red-green-blue (RGB), and color-infrared (CIR) remote sensing data and deep learning techniques. We generated habitat suitability models (HSM) to gain insights into the spatial factors influencing the occurrence of E. aurinia and to predict potential habitat suitability for the whole study site. Through a deep learning classification technique, we conducted biotope mapping and generated fine-scale spatial variables to model habitat suitability. By employing various modeling techniques, including Generalized Additive Models (GAM), Generalized Linear Models (GLM), and Random Forest (RF), we assessed the influence of different modeling parameters and pseudo-absence (PA) data generation on model performance. The biotope mapping achieved an overall accuracy of 81.8%, while the subsequent HSMs yielded accuracies ranging from 0.69 to 0.75, with RF showing slightly better performance. The models agree that homogeneous grasslands, paths, hedges, and areas with dense bush encroachment are unsuitable habitats, but they differ in their identification of high-suitability areas. Shrub proximity and density were identified as important factors influencing the occurrence of E. aurinia. Our findings underscore the critical role of human intervention in preserving habitat suitability, particularly in mitigating the adverse effects of natural succession dominated by shrubs and trees. Furthermore, our approach demonstrates the potential of VHR remote sensing data in mapping small-scale butterfly habitats, offering applicability to habitat mapping for various other species. Full article

In this study, we analyzed the phytosociological data from four sample sites located in the Pannonian region. The study areas, ranging from 2.4 to 2.5 hectares, have been subjected to goat grazing and mowing for 24 years. N1: Nagyréde, an overgrazed pasture with 24 goats; N2: Nagyréde, a mown field; C1: Csokvaomány, a lightly grazed pasture with 12 goats; and meadow C2: Csokvaomány, a site that is both mown and grazed. Six phytosociological surveys were conducted randomly in each area. We also considered the conservation value, biomass production, and forage values. Phytosociological data were processed using hierarchical cluster analysis and the non-parametric Kruskal–Wallis test. The overgrazed pasture (N1) exhibited the most degraded vegetation community, dominated by weeds and disturbance-tolerant species. The overgrazed (N1) pasture had a low forage value because of the different timing of treatments. Even in the lightly grazed pasture (C1), the proportion of species indicative of degradation was significant. The species composition of the areas indicated that the mown and subsequently grazed area (C2) had outstanding values. The species richness of C2 was twice that of the mown field (N2). Based on the present study, a combination of light grazing pressure and mowing is the most suitable approach for managing and economically utilizing these grasslands. Full article

The sulphur content of the atmosphere has fallen sharply in recent decades. Due to a reduction in plant nutrition with sulphur, this has also led to a drop in the S concentrations in certain plant species over time. As a result, a lot of experimental work was carried out to remedy the emerging yield and quality deficiencies on the farms. In this summarised study, data from 98 sites in Germany and other European countries were recorded from 1998 to 2023, received from sulphur fertiliser trials carried out on farms and experimental stations under organic farming conditions. This second part of meta-analysis focuses on establishing relationships between the status of plant nutrient supply with sulphur and biomass yield responses, the nitrogen uptake of crop species and the extent of N₂ fixation in legumes. The results of regression analyses based on the effect of the S concentrations and the N:S ratios of the crop species on the relative yield differences between 851 standard variants (=100%) and 1177 sulphur treatment variants. In principle, declining yield increases were determined as a result of increasing S concentrations and decreasing N:S ratios. Except in the case of grain legume young plants, both characteristics were suitable for determining corresponding limit values for yield formation. Different values were determined depending on the plant species and harvest material. In extensive comparative analyses and discussion with literature data, minimum sulphur concentrations and maximum values for N:S ratios for young plants, vegetative harvest material (straw) and grain materials are proposed to ensure optimum biomass yields of permanent grassland, lucerne–clover–grass, grain legumes and cereals for use in practice of agricultural systems of different intensities. Full article

Our study examined the impact of grazing by Hungarian Grey cattle on plant communities in grasslands restored and established through different methods. The grasslands were established and restored in 2009 using five methods: (I) naturally regenerating fallow, (II) hay-mulch addition, (III) seeded grassland following soil preparation, (IV) grazing on abandoned alfalfa fields, and (V) overseeded fallow initiated in 1989. From 2009 to 2011, all sites were uniformly mowed, after which they were grazed using free-ranging Hungarian Grey cattle starting in 2012. This project aims to restore traditional land use and dry grassland grazing in the region. Phytosociological recordings were conducted in 2012, the first year following grazing initiation, and again in 2020, nine years later. We assessed the botanical composition and grassland management value across sites in a 260-hectare experimental area within the Pannonian biogeographic region. The current study seeks to determine how different grassland restoration techniques have influenced the botanical composition and grassland management values of pastures and to identify the most suitable restoration methods. Statistical analyses were conducted using R to assess species count differences across four vegetation categories. The results indicate that the overseeded fallow established in 1989 and the hay-mulch addition method were the most effective techniques. Directly seeded grasslands and abandoned alfalfa fields differed most significantly from these areas. Across all types, species richness and total cover increased relative to the initial conditions in 2012, and the naturalness of the species composition also improved. Returning to traditional land use improved the ecological state of all sites. Restoration of the grazed areas proved optimal over the elapsed period, with two years of mowing followed by grazing. Grazing with Hungarian Grey cattle, a low-impact rustic breed, yielded successful grassland restoration outcomes. Among the restoration methods, direct seeding and the use of alfalfa fields proved uneconomical and ineffective in promoting the desired species composition. Natural regeneration and, particularly, the hay-mulch addition method, were the most effective for conservation and grassland management. Full article

To target the lack of suitable grass species in the ecological restoration process of the Muli mining area, nine ecological grass species of Gramineae, Gentianaceae, Scrophulariaceae, and Ranunculaceae were selected as experimental materials to simulate the external alkaline environment for a seed germination test, which could be used to explore the response of seed germination to the environment. At the same time, Poa pratensis L. ‘Qinghai’, Deschampsia cespitosa, Koeleria cristata, and Elymus tangutorum were used as test materials to carry out a variety of comparison and screening tests of suitable seeding rates. The effects of the seeding rate on plant coverage, biomass, forage nutrients, and soil properties were analyzed by a variety of comparison and seeding rate tests. The results showed the following: (1) The relative germination rate of Koeleria cristata, Elymus tangutorum, Deschampsia cespitosa, and Poa pratensis L. ‘Qinghai’ was more than 70%, and the coverage in the returning green period was more than 60%, which was significantly higher than that of other treatments (p < 0.05) and can better adapt to the environment of the Muli mining area compared to other grass species. Meanwhile, the adaptability of Pedicularis kansuensis, Gentiana macrophylla, and Aconitum pendulum was weak. (2) It was found that when the seeding rate was 9 g·m⁻², the biomass of Poa pratensis L. ‘Qinghai’, Deschampsia cespitos, and Koeleria cristata was the highest, which was 296.45 g·m⁻², 224.32 g·m⁻², and 236.35 g·m⁻², which was significantly higher than that of other treatments (p < 0.05); the aboveground biomass was 356.24 g·m⁻² when the seeding rate of Elymus tangutorum was 18 g·m⁻², which was significantly higher than that of other treatments (p < 0.05). The membership function showed that the comprehensive evaluation value was 0.701, 0.576, 0.610, and 0.673 when the seeding rate of Poa pratensis L. ‘Qinghai’, Deschampsia cespitos, and Koeleria cristata was 9 g·m⁻² and the seeding rate of Elymus tangutorum was 18 g·m⁻². To sum up, it is recommended that the four ecological grass species of Poa pratensis L. ‘Qinghai’, Deschampsia cespitosa, Koeleria cristata, and Elymus tangutorum can be used as the main grass species for ecological restoration in high-altitude and alpine areas such as the Muli mining area, which is affected by an alpine climate and fragile habitats. The optimum sowing rate of Poa pratensis L. ‘Qinghai’, Deschampsia cespitosa, and Koeleria cristata is 9 g·m⁻², and that of Elymus tangutorum is 18 g·m⁻². This cultivation method can effectively promote plant growth and development, improve the physicochemical properties of soil, and is conducive to improving the stability and sustainability of artificial grassland in alpine mining areas. Full article