Ecological Indicators最新文献

{"title":"Temporal analyses of global suitability distribution for fall armyworm based on Multiple factors","authors":"Minghao Wang ,&nbsp;Wenjiang Huang ,&nbsp;Yingying Dong ,&nbsp;Yanru Huang ,&nbsp;Bing Zhang ,&nbsp;Gang Sun ,&nbsp;Maged Elkahky ,&nbsp;Changping Huang","doi":"10.1016/j.ecolind.2025.113181","DOIUrl":"10.1016/j.ecolind.2025.113181","url":null,"abstract":"<div><div>The fall armyworm (FAW; Spodoptera frugiperda) has been a persistent threat to global food security due to its strong migratory ability and wide range of host plants. However, most current studies on the suitability distribution of FAW focus on extracting suitable areas in specific regions on an annual basis. Consequently, research on the suitability distribution of FAW at a larger scale and with higher temporal resolution is urgently needed to provide data support for early prevention and control. This study differentiated the historical occurrence records of FAW into annual distribution points and seasonal distribution points. By integrating multi-factor environmental data, including climate, soil, topography, and vegetation, we used MaxEnt to establish annual and monthly models. The annual model extracted the annual suitability distribution of FAW worldwide. Among the nine selected environmental factors, temperature seasonality had the greatest impact on the suitability distribution of FAW, with a single-factor contribution rate of 39.87%. The monthly models analyzed the inter-monthly variations in the global suitability distribution of FAW from January to December. The results indicated that FAW’s suitability was highest in July and lowest in March. Under the dominant influence of dynamic environmental factors such as temperature, precipitation, and vegetation index, the expansion and contraction of FAW’s suitability distribution corresponded with seasonal changes, exhibiting significant seasonal fluctuations. Our results can provide FAW control personnel with more practical references for formulating preventive strategies in advance, helping to prevent the potentially incalculable damage FAW could cause to crops in invaded areas.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113181"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143333435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3g data","authors":"Zhicheng Zhang ,&nbsp;Zhenhua Xiong ,&nbsp;Xuewen Zhou ,&nbsp;Kun Xiao ,&nbsp;Wei Wu ,&nbsp;Qinchuan Xin","doi":"10.1016/j.ecolind.2025.113176","DOIUrl":"10.1016/j.ecolind.2025.113176","url":null,"abstract":"<div><div>Long-term archives of remote sensing data hold values for identifying temporal changes occurring on the land surface. Moderate-spatial-resolution data acquired by sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) have proven useful in large-scale studies. The absence of such data prior to the launch of MODIS in 2000 necessitates the retrospective reconstruction of MODIS-like datasets. While data fusion techniques are capable of generating spatiotemporally continuous data, challenges remain in capturing interannual variation of land surface dynamics at a spatial resolution where real observation data are lacking. This study introduces a novel deep learning-based model, termed the Land-Cover-assisted Super-Resolution SpatioTemporal Fusion model (LCSRSTF), designed to produce biweekly 500-meter MODIS-like data spanning from 1992 to 2010 across the Continental United States (CONUS). LCSRSTF integrates Landcover300m and the Global Inventory Modelling and Mapping Studies (GIMMS) NDVI3g data. The model exacts moderate-resolution class features from annual Landcover300m data at the target year, incorporates GIMMS NDVI3g time series to capture seasonal fluctuations, and employs the Long Short-Term Memory (LSTM) method to mitigate sensor differences. Evaluation against observed MODIS images confirms the robustness of our model in generating MODIS-like data across CONUS. The root mean square error (RMSE) of the model results is 0.094 from 2001 to 2010, while that of GIMMS NDVI3g data is 0.154. The linear regression coefficient for the model simulation is 0.872, compared to 0.844 for GIMMS data. The model exhibits reasonable predictive capabilities in reconstructing retrospective data when assessed using Landsat data prior to 2000. The developed method as well as the MODIS-like dataset spanning from 1992 to 2010 across CONUS hold the promise in extending the temporal span of moderate-spatial-resolution data, thereby facilitating comprehensive long-term studies of land surface dynamics.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113176"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143334161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How low-abundance amphibians shape functional diversity across tropical forest succession stages?","authors":"Fabio Zabala-Forero ,&nbsp;Angela M. Cortés-Gómez ,&nbsp;Nicolás Urbina-Cardona","doi":"10.1016/j.ecolind.2025.113140","DOIUrl":"10.1016/j.ecolind.2025.113140","url":null,"abstract":"<div><div>The role of low-abundance species in ecosystems remains largely understudied, despite their unique trait values and significant influence on biotic interactions and ecosystem processes. Trait-based ecology provides key insights into the impact of these species on functional diversity metrics, particularly in landscapes undergoing ecological succession after land abandonment in tropical forests. This study evaluates the effects of sequentially losing low-abundance species on amphibian functional diversity in the Colombian Pacific region. We applied trait probability density (TPD) analysis at the assemblage level and functional rarity indices (Scarcity and Functional Distinctiveness) at the species level. By simulating scenarios of low-abundance species loss, we assessed changes in functional diversity metrics—such as richness, evenness, divergence, and redundancy—across three vegetation types: mature forest, secondary forest, and abandoned mixed crops. Our findings revealed significant variations in functional diversity metrics. Functional richness was sensitive to both vegetation types and species loss scenarios, while functional evenness and redundancy responded more specifically to the loss of low-abundance species. Correlation analyses showed significant relationships between species richness and functional diversity metrics. Interestingly, species with the highest Scarcity and Functional Distinctiveness values, which also had the lowest abundances, were the first to be lost in the scenarios. These results underscore the vital importance of low-abundance amphibian species in maintaining functional diversity and advocate for conservation strategies prioritizing these vulnerable species and their habitats. Our study revealed the intricate relationship between species richness and facets of functional diversity under scenarios of local extinction and anthropogenic land cover transitions in tropical ecosystems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113140"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143333962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ecological niche modelling using MaxEnt for riparian species in a Mediterranean context","authors":"Jean Stephan,&nbsp;Melissa Korban","doi":"10.1016/j.ecolind.2025.113167","DOIUrl":"10.1016/j.ecolind.2025.113167","url":null,"abstract":"<div><div>Despite their key environmental role, riparian tree and shrub species gained little attention in ecological niche modeling (ENM), especially in semi-arid environments.</div><div>This study examines the performance of selected climatic, topographic, and geographic predictors in ENM of obligate and non-obligate riparian tree and shrub species in perennial and intermittent streams in the Mediterranean biome.</div><div>MaxEnt algorithm was used for ENM. Three models were designed with different sets of predictors with cropped and non-cropped backgrounds around the riparian zone.</div><div>The models generated different predicted distribution maps by species and compared them with the presence points of the studied species. All models showed satisfactory results, with the third model with a non-cropped background and an exhaustive list of predictors showing the highest performance and providing accurate maps, especially when compared to the first run with a cropped background around the riparian zone and the omission of distance from the riverbank and the sea from the predictors used. Predictors such as the river flow regime, the distance from the riverbank, the Emberger Quotient, and the mean of the minimal temperature of the coldest month were essential for the predicted distribution of the selected species.</div><div>The order of contribution of each predictor in the model enabled us to validate the grouping of species into obligate and non-obligate riparian and conclude which predictors to select for ENM based on the species’ nature. The results could be suggested for red listing assessment of riparian tree species and appropriate species selection for ecosystem restoration.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113167"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change","authors":"Xinyi Fan,&nbsp;Zhixin Hao,&nbsp;Yang Liu","doi":"10.1016/j.ecolind.2025.113214","DOIUrl":"10.1016/j.ecolind.2025.113214","url":null,"abstract":"<div><div>Vegetation phenology is a sensitive indicator of climate change, and the impact of large-scale meteorological seasonal variations on phenological patterns remains understudied because traditional seasonal divisions fail to capture the dynamics of rapid phenological change. Utilizing CN05 gridded temperature data, we applied a dynamic meteorological model to analyze the spatial distribution and trends of spring and autumn, revealing their influence on regional vegetation phenology. We revealed that the start of spring and end of spring advanced at rates of −0.19 d·yr⁻¹ and −0.15 d·yr⁻¹, respectively, affecting 92.57 % and 82.85 % of the study area. Conversely, the start and end of autumn were delayed by + 0.06 d·yr⁻¹ and + 0.10 d·yr⁻¹, impacting 54.05 % and 89.96 % of the region. The length of spring and length of autumn increased at rates of + 0.05 d·yr⁻¹ and + 0.02 d·yr⁻¹, respectively, across 55.93 % and 53.97 % of the area. These changes exhibited a clear latitudinal gradient, with a decreasing duration from south to north. Significant correlations were observed between seasonal variations and vegetation phenology; earlier spring onset corresponded to an earlier start of the growing season in 71.58 % of the study area, while a later end of autumn correlated with a delayed end of the growing season in 59.72 % of the region. This study systematically demonstrates, for the first time, the extensive influence of climate-driven seasonal changes on vegetation phenology, offering valuable insights for weather forecasting, climate zoning, and phenology management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113214"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital mapping of soil organic carbon in a plain area based on time-series features","authors":"Kun Yan ,&nbsp;Decai Wang ,&nbsp;Yongkang Feng ,&nbsp;Siyu Hou ,&nbsp;Yamei Zhang ,&nbsp;Huimin Yang","doi":"10.1016/j.ecolind.2025.113215","DOIUrl":"10.1016/j.ecolind.2025.113215","url":null,"abstract":"<div><div>Improving the accuracy of digital soil organic carbon (SOC) mapping in plain areas is important for meeting the needs of agricultural development and environmental protection. Utilizing time-series environmental factors is thought to be helpful in digital soil mapping (DSM) of SOC, which is a current research hotspot. This study focused on the DSM of SOC in Fengqiu County, China, using terrain, climate, single-time ecological factors, and time-series features of time-series ecological factors as environmental covariates to investigate whether time-series environmental covariates could improve the accuracy in a plain area. SOC prediction models were established using random forests (RF), backpropagation neural networks (BP), and support vector machines (SVM). The results showed that ecological factors such as normalized difference vegetation index (NDVI) normalized difference built-up index (NDBSI), drought, and humidity indices, along with distance from rivers, played a dominant role in digital SOC mapping. The relative importance of the time-series features of the ecological factors was higher than that of the single-time-point vegetation indices. Introducing the time-series features of ecological factors resulted in a decrease in the mean error (ME) and root mean square error (RMSE), whereas the coefficient of determination (R²) and concordance correlation coefficient (CCC) showed increasing trends across the different models. Comparing the various environmental variable screening methods, the Boruta algorithm achieved the most significant improvement in model accuracy. The RFSTB (RF + Conventional variables + Time-series variables + Boruta algorithm) model was identified as the optimal model, with R² increasing by 65.45 % and RMSE decreasing by 47.12 %. This study introduces new environmental covariates for SOC mapping and provides new insights into digital mapping of SOC in plain areas.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113215"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative contribution of climate change and vegetation restoration to ecosystem services in the Inner Mongolia under ecological restoration projects","authors":"Yang Zhang ,&nbsp;Xiaoya Chen ,&nbsp;Yun Zhang ,&nbsp;Bo Wang","doi":"10.1016/j.ecolind.2025.113240","DOIUrl":"10.1016/j.ecolind.2025.113240","url":null,"abstract":"<div><div>In the context of ongoing ecological restoration efforts, understanding the impacts of vegetation restoration on ecosystem services (ESs) is critical for sustainable ecosystem management. However, the quantitative contributions of vegetation restoration and climate change to ESs, as well as the relationship between vegetation restoration and ESs, remain insufficiently explored. This study focuses on the Inner Mongolia Section of the Beijing-Tianjin Sandstorm Source Control Project Area (IM-BTSSCPA) to address these gaps. The temporal and spatial dynamics of total ecosystem services (TES) in the IM-BTSSCPA from 2001 to 2020 were evaluated. The contributions of climate and Human Appropriation of NDVI (HANDVI) to TES were quantified, and the nonlinear constraint thresholds of NDVI on TES were identified. Key findings include: (1) TES improved significantly from 2001 to 2020, with a spatial trend of increasing from the northwest to the southeast; (2) HANDVI was identified as the primary driver of TES improvement, contributing 63.23%; and (3) NDVI exhibited nonlinear constraint effects on sand fixation, water yield, and TES, with respective thresholds of 0.32, 0.49, and 0.79. These findings suggest the need for multi-scale eco-spatial management and planning strategies, and offering valuable guidance for the implementation of sustainable ecological restoration projects.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113240"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attraction points: A new sampling design method to quantify common finches’ population","authors":"Lorenzo Marazuela Pinela ,&nbsp;Ángel Julián Martín Fernández ,&nbsp;Pablo-Luis López-Espí","doi":"10.1016/j.ecolind.2025.113155","DOIUrl":"10.1016/j.ecolind.2025.113155","url":null,"abstract":"<div><div>Existing methodologies for monitoring bird populations primarily focus on their presence, habitat, physical and health characteristics, and, more comprehensively, their abundance and trends in breeding season. Due to the fact that these methodologies do not use unbiased statistical estimators, the accurate estimation of bird densities or obtaining measures of abundance is often based on indirect counts, such as, detection probability versus distance, or assumptions, such as the homogeneous distribution of all individuals, which are then correlated with bird density. Most of these counts provide a multispecies approximation of long-term trends but may be inaccurate for specific species, regions or outside of the breeding season. In the case of finches (Fringillidae), determining a direct and more accurate estimate of density of their populations in a specific area requires a specialised methodology based on unbiased statistical estimators, one that accounts on the unique characteristics of these birds and minimises the issues associated with commonly applied multispecies methodologies.</div><div>Currently, no quantitative population management method exists that enables wildlife managers to ensure the sustainable management of finch populations in a specific territory throughout their annual life cycle. As part of the development of a quantitative method for this purpose, this study introduces a population inventory model based on fixed points utilising live decoy birds of the fringillid species being inventoried. The model leverages the ethological characteristics of this bird family, which are non-territorial and seeks the company of conspecifics, which they attract through song. Consequently, its applicability is limited to other bird taxa with similar behavioural traits.</div><div>The “Attraction Points Method” (APM), which uses the songs of live congeners, as described here, has been employed and evaluated in several projects for tracking finch populations in Spain, particularly in the Community of Madrid, where a continuous study of their populations has been conducted since 2018. The study was planned in three periods: the beginning and end of the breeding season (pre-nuptial and post-nuptial), and wintering, allowing for the calculation of survival, mortality and reproductive success ratios.</div><div>This article presents the model, the results obtained from its application, and its advantages and disadvantages for the control and sustainable management of fringillid populations compared to other frequently used sampling models.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113155"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143333961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial and temporal characteristics and driving mechanisms of recreational ecosystem services supply-demand mismatch in rapidly urbanizing areas: Evidence from the Yangtze River Delta","authors":"Ruien Tang ,&nbsp;Guolin Hou ,&nbsp;Yueyi Chen ,&nbsp;Xiao Liu ,&nbsp;Shaoying Chu ,&nbsp;Li Li","doi":"10.1016/j.ecolind.2025.113153","DOIUrl":"10.1016/j.ecolind.2025.113153","url":null,"abstract":"<div><div>The ecological changes triggered by rapid urbanization pose a significant threat to the balance of supply and demand for recreational ecosystem services. Understanding the spatial and temporal processes of Recreational Ecosystem Services (RES) supply–demand matching and their driving mechanisms is essential for the enhancement of human well-being and the sustainable management of socio-ecological systems in the region. Taking the Yangtze River Delta Urban Agglomeration in China as an example, this study first builds an updated supply indicator system based on the four dimensions and examines the supply, demand, and matching of RES in the region with the help of heterogeneous data from multiple sources. We also examine the spatio-temporal processes and spatial spillover effects of supply–demand matching, as well as the nonlinearity and spatial non-stationarity of the role of the driving factors. The results show that the supply level of RES is generally low, but is on an upward trend. There are significant spatial differences in the demand level, and the matching level is declining with significant polarisation. The matching types generally show a trend of decreasing L-L and M-L and a significantly increasing H-H. The changes in supply and demand risks at different levels are dominated by level-by-level migration, but the low-level units attract the higher level to leap downward across level transitions, thus indicating a significant spatial spillover effect. The regression model estimation showed a decrease in the contribution of ecological factors and an enhancement of socio-economic factors. Each factor exhibits different degrees of non-linear marginal effects. The regression coefficients were significantly heterogeneous in space. Finally, the influence processes of county-level and city-level drivers were discussed, and the establishment of a three-level transmission mechanism of “grid-county-city” was proposed to achieve the sustainable management of recreational resources.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113153"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143333975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Avian atlas: Unveiling the diversity divide in major global desert realms","authors":"Manasi Mukherjee,&nbsp;Mitali Mukerji","doi":"10.1016/j.ecolind.2025.113094","DOIUrl":"10.1016/j.ecolind.2025.113094","url":null,"abstract":"<div><div>Given the heightened vulnerability of deserts to climate change, this study aims to provide a comprehensive analysis of avian species diversity across ten global deserts to identify distinct diversity gradients and relatedness. Identify the difference from global patterns in avian migratory proportions and the underlying drivers for assessing the vulnerability and resilience of these desert ecosystems. Crowd-sourced avian diversity data of 2374 species from GBIF.org was used as a key analytical tool to study the diversity gradient across the ten major deserts. The variance in correlation patterns between avian ecological and behavioral traits across deserts were analyzed employing data of 1930 common avian species from AVONET. The analysis included comparisons of bird diversity, migratory patterns and trophic niches between Tropic of Cancer (TCan) and Tropic of Capricorn (TCap) deserts. Significant variations in bird diversity among the deserts were found. Deserts near the TCan exhibited higher bird diversity than in TCap deserts. TCan deserts had a higher prevalence of migratory species, facilitated by a broader niche breadth among sedentary species, which reduces niche competition and allows the influx of migratory invertivores. Proportion of migratory birds is higher in TCan deserts due to wider trophic niche but is significantly lower than the global average for the same latitude range. The findings highlight the need for targeted conservation strategies to protect avian diversity in the TCan deserts and mitigate extinction risks in TCap deserts, ensuring the resilience of these critical ecosystems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113094"},"PeriodicalIF":7.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143334106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}