Ecological Indicators最新文献

{"title":"Acoustic beta indices exhibited a weak correlation with both vocal species composition dissimilarity and environmental factors dissimilarity in a subtropical forest","authors":"Hexiang Wang ,&nbsp;Xuelian He ,&nbsp;Zhiliang Yao ,&nbsp;Bin Wang ,&nbsp;Yiting Jiang ,&nbsp;Luxiang Lin","doi":"10.1016/j.ecolind.2025.113266","DOIUrl":"10.1016/j.ecolind.2025.113266","url":null,"abstract":"<div><div>Monitoring biodiversity through analyzing acoustic signals of ecosystems, as well as their relationship with environmental factors has garnered significant attention in fields like landscape ecology and biodiversity conservation. However, validation studies centered around only one of the acoustic diversities, the alpha index, while largely left out the beta one. Therefore, we evaluated the efficacy of acoustic beta indices as proxies of dissimilarity in vocal bird composition, and investigated the relative importance of vegetation characteristics dissimilarity, topographic dissimilarity, and geographical distance on acoustic beta diversity. To get acoustic beta indices of birds, we deployed 16 autonomous acoustic recorders across a biodiversity monitoring platform within a subtropical evergreen broad-leaved forest during bird breeding season. We performed bird species aural identification and investigated the relationship between vocal bird composition dissimilarity and eight acoustic beta indices with Mantel test. In addition, we obtained environmental factors included vegetation characteristics and topography variables through unmanned aerial vehicle light detection and ranging (UAV LiDAR) and from census data of the forest dynamics plots. The relative importance of vegetation characteristics, topography, and geographical distance on acoustic beta diversity was investigated with multiple regressions on distance matrices (MRM) and generalized dissimilarity modelling (GDM). Our results showed that the eight acoustic beta indices were significantly positively related to each other. There was weak correlation between acoustic dissimilarity and vocal bird composition dissimilarity, indicating that acoustic diversity is an independent facet of biodiversity. This study provided the first evidence that the combination of vegetation characteristics dissimilarity, topographic dissimilarity, and geographic distance account for few variation in the acoustic beta indices within the subtropical forest. Notably, vegetation characteristics dissimilarity emerged as relatively more important to the acoustic dissimilarity compared to topographic dissimilarity. Further research examining the relationship between specific acoustic spectral characteristics and potential influencing factors is highly encouraged.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113266"},"PeriodicalIF":7.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479692","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":"Threshold effects of influencing factors on green efficiency of water resources based on environmental regulation and resource endowment: A case study of Heilongjiang Province, China","authors":"Yunxing Wu ,&nbsp;Yiting Zhang ,&nbsp;Ruirui Long,&nbsp;Zilong Wang,&nbsp;Qiuxiang Jiang","doi":"10.1016/j.ecolind.2025.113283","DOIUrl":"10.1016/j.ecolind.2025.113283","url":null,"abstract":"<div><div>The core of green efficiency of water resources (GEWR) improvement is to achieve water efficiency growth based on environmental improvement and resource conservation. To explore the influence of environmental regulation (ER) and resource endowment (RE) on the GEWR, in this paper, the slacks-based measure (SBM) model was used to measure the GEWR in 13 regions in Heilongjiang Province, China. The linear relationship between the GEWR and influencing factors was determined by establishing a panel baseline regression model, and the threshold regression model was used to study the threshold effects of ER and RE. The results showed that: (1) The GEWR in Heilongjiang Province exhibited a fluctuating upward trend from 2003 to 2018 and that of most regions was below 0.5. (2) There is a significant threshold relationship between ER and RE and GEWR. For ER of &gt; 0.727, ER changed from positive to negative impact on GEWR; For RE of &gt; 6.616, the negative impact of RE on GEWR was enhanced, and for RE of &gt; 6.674, the impact of ER on GEWR changed from positive to negative. (3) Economically developed areas, such as Daqing and Harbin, tend to have higher ER; while regions with favorable water resource conditions, such as Mudanjiang and Jixi, exhibit RE above the threshold (6.674). This paper provides theoretical support for the implementation of differentiated ER policies in different REs, and recommendations for efficient water resource utilization in the actual situation are suggested.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113283"},"PeriodicalIF":7.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479847","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":"Impact of rapid urban construction land expansion on spatial inequalities of ecosystem health in China: Evidence from national, economic regional, and urban agglomeration perspectives","authors":"Lei Qi ,&nbsp;Hina Najam ,&nbsp;Yessengali Oskenbayev ,&nbsp;Sansyzbaev Alisher ,&nbsp;Kamla Hairis","doi":"10.1016/j.ecolind.2025.113196","DOIUrl":"10.1016/j.ecolind.2025.113196","url":null,"abstract":"<div><div>Balancing urban construction land expansion (UCE) with ecosystem health (EHI) is critical for sustainable management. This study evaluates how UCE impacts EHI across China’s cities, economic subregions, and urban agglomerations using multivariate satellite remote sensing data and spatial econometric models. Findings reveal a consistent decline in EHI, with an average annual decrease of 2.012 % between 2000 and 2023, correlating with UCE growth. Declining EHI clusters were concentrated in major urban agglomerations, notably BTH, GBA, and YRD. The analysis highlights a strong negative spatial dependency, with mature urban agglomerations experiencing significant spillover effects, while emerging regions faced more direct impacts. The research underscores the need for cross-regional ecological governance and tailored strategies to enhance ecological resilience in urban development.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113196"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479771","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":"Waterbirds as ecosystem flagships of Eurasian inland saline waters: Dual control indicators of trophic structure","authors":"Emil Boros ,&nbsp;Zsolt Végvári ,&nbsp;Anita Kiss ,&nbsp;Péter Dobosy ,&nbsp;Zarina Inelova ,&nbsp;Yelena Zaparina ,&nbsp;Andrey Gavrilov ,&nbsp;Lajos Vörös","doi":"10.1016/j.ecolind.2025.113197","DOIUrl":"10.1016/j.ecolind.2025.113197","url":null,"abstract":"<div><div>The main objective of the study is to compare the trophic systems of intermittent and permanent shallow standing waters with wide salinity gradients (1–500 &lt; g/L) and various salt compositions on Eurasian large scales. We analysed the nutrient-phytoplankton-zooplankton-fish-bird trophic network in the intermittent and permanent as well as non-alkaline saline and alkaline soda waters. The algal biomass of alkaline soda waters were significantly larger due to the improved phosphorus supply than in saline waters. The biomass of zooplankton <em>(Rotifera, Crustacea)</em> increased up to the threshold level (50 g/L) of the salinity, as salt-tolerant taxa can reproduce en masse without competition in the hypertrophic range. The zooplankton biomass is primarily regulated by desiccation as a result of the lack of fish top-down control. The investigated waters are net heterotrophic systems as the amount of zooplankton biomass exceeds the quantities expected from the phytoplankton biomass. Our investigation demonstrated that the nutrient import by waterbird faeces (guanotrophication) provides a significant bottom-up control in these systems, which may lead to net heterotrophy. The top-down control of zooplankton by fish can be partly replaced by filter-feeding waterbirds in intermittent waters. As intermittent waters are dominated by the waterbird–heterotrophic microorganisms–phytoplankton–zooplankton–waterbird food web, these ecosystems are dually controlled by waterbirds as shortcut agents in the trophic chain. Therefore, waterbirds can be regarded as ecosystem flagship indicator taxa of these migratory hotspots of flyways. Our study presents a novel trophic model that integrates desiccation, salinity, chemistry, nutrient cycle, and multiple effects of waterbirds on these ecosystems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113197"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474017","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":"Machine learning-based prediction of nitrous oxide emissions from arable farming: Exploring management practices as predictor variables","authors":"Gregor Gnisia ,&nbsp;Jan Weik ,&nbsp;Reiner Ruser ,&nbsp;Lisa Essich ,&nbsp;Iris Lewandowski ,&nbsp;Anthony Stein","doi":"10.1016/j.ecolind.2025.113233","DOIUrl":"10.1016/j.ecolind.2025.113233","url":null,"abstract":"<div><div>Nitrous oxide emissions from agricultural activities significantly contribute to the global greenhouse gas balance, with approximately 60 % originating from agricultural soils, primarily due to nitrogen fertilizer application. Estimating these emissions from croplands for national reporting and mitigation strategies presents a complex challenge, considering the intricate interplay of meteorological factors, soil conditions, and management practices governing microbial processes such as nitrification and denitrification. Current estimation methods, including the 1 % IPCC approach and process-based models, face limitations due to incomplete process representation, parameter uncertainties, and complex initialization procedures.</div><div>This study explores the potential of machine learning to improve the prediction of nitrous oxide emissions. We evaluated three machine learning algorithms (Random forest (RF), Extreme gradient boosting (XGBoost), and Feedforward neural network (FNN)) for their ability to predict weekly fluxes, peak flux, and annual emissions using data from a field study with seven different management treatments. A comprehensive set of predictor variables, including meteorological, soil, and management factors, was utilized.</div><div>Cross-validation results demonstrate the superior performance of the RF model, achieving a root mean squared error of 8.51, surpassing the XGBoost model (9.28) and FNN model (9.08).</div><div>Remarkably, analysis of cumulative emissions reveals that the FNN model, in particular, exhibits better predictive capability for annual trends compared to other models, with 72.5 % of predictions falling within the standard error range. The inclusion of agricultural management variables such as “Days after Hoeing” emerged as the dominant predictor, contributing to 40 % (RF)/55 % (XGBoost) of the prediction accuracy. These results demonstrate the potential of machine learning to become a robust, and time-efficient method for predicting N₂O fluxes at different scales. Due to its potential generalizability, the large-scale application, e.g. for national greenhouse gas reporting, is envisioned. This requires further training with data from multiple locations with different site factors and land uses.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113233"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474015","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 systematic review of ecosystem services modeling for environmental health assessment","authors":"Kalra Marali ,&nbsp;Robert M Chiles ,&nbsp;Jason P Kaye ,&nbsp;Christine J Kirchhoff ,&nbsp;Lisa Wainger ,&nbsp;Raj Cibin","doi":"10.1016/j.ecolind.2025.113245","DOIUrl":"10.1016/j.ecolind.2025.113245","url":null,"abstract":"<div><div>Increasingly, environmental modelers are called upon to evaluate the sustainability and ecosystem health (EH) impacts of new policies and land management practices. This demand requires modelers to convert the normative, value-laden concept of EH into a measurable quantity. To solve this problem, many have turned to the ecosystem services (ES) framework, an established system for quantifying the benefits humans derive from their natural environment. ES include a wide range of environmental variables, allowing modelers to select diverse indicators for EH. But leaving indicator selection up to modelers’ individual judgment gives researchers substantial control over the discourse of EH, raising ethical questions about inclusivity and objectivity. This study aims to examine the ES used in published EH modeling studies, with the goal of generating insight into the ways modelers define EH through ES indicator selection. Through a Web of Science database search, we identified 310 journal articles that lay at the intersection of EH and ES research. Further screening narrowed our focus to 49 papers that employed ES as the sole indicator variables in an EH assessment. In our systematic review of these 49 ES/EH modeling research papers, we classified indicators systematically and collected quantitative data on the ES that appear frequently in EH research. The three most frequently studied ES in the review, appearing in more than 20 papers each, were water quality, water provisioning, and global climate regulation. Results suggested physical ecosystem goods are preferred EH indicators, while environmental processes that do not have direct benefits for humans tend to be less frequently chosen as indicators in ES modeling research. Textual analysis and interviews with modelers are needed to fully understand the EH values and beliefs that influence indicator selection, but this study is an initial step towards a clearer understanding of the patterns of ES indicator selection in modeling research that involves normative assessment of EH.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113245"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474016","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 revised list of diatom ecological indicator values in The Netherlands","authors":"Adrienne Mertens ,&nbsp;Jako van der Wal ,&nbsp;Geurt Verweij ,&nbsp;Bert Pex ,&nbsp;Arthur van Dulmen ,&nbsp;Herman van Dam","doi":"10.1016/j.ecolind.2025.113219","DOIUrl":"10.1016/j.ecolind.2025.113219","url":null,"abstract":"<div><div>This revised list of indicator values of diatoms from fresh, brackish and marine waters in The Netherlands comprises indicator values of 2073 taxa (with current names and synonyms), belonging to 1922 species in 203 genera. The genera <em>Navicula</em>, which has a very wide ecological amplitude, and <em>Nitzschia</em>, which has many pollution tolerant species, are most numerous. Each taxon is identified with the Omnidia-code, to facilitate computer processing of data. Ecological indicator values for pH, salinity, nitrogen uptake metabolism, oxygen, saprobity, trophic state and moisture are presented.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113219"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479851","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":"An accuracy assessment of satellite-derived rangeland fractional cover","authors":"Georgia R. Harrison ,&nbsp;Matthew Rigge ,&nbsp;Timothy J. Assal ,&nbsp;Cara Applestein ,&nbsp;Darren K. James ,&nbsp;Sarah E. McCord","doi":"10.1016/j.ecolind.2025.113267","DOIUrl":"10.1016/j.ecolind.2025.113267","url":null,"abstract":"<div><div>Satellite-derived maps of vegetation cover provide detailed information about vegetation spatiotemporal patterns and are increasingly used to better understand and manage rangelands. Despite their utility, questions remain regarding the regional and site level accuracy for these maps, especially compared to field-collected data. We conducted an accuracy assessment of the Rangeland Analysis Platform (RAP), using over 17,000 field plots sampled through nationwide rangeland vegetation monitoring programs in the continental U.S. We observed higher overall nationwide map error compared to previous validations of RAP, and absolute error (Mean Absolute Error [MAE] and Root Mean Square Error [RMSE]) was highest for perennial herbaceous and bare ground and lowest for trees (MAE range = 2.98 –10.22 %). There were also differences in map agreement with field data across ecoregions. Generally, map agreement was highest in the Great Basin and lowest in the Great Plains and Desert Southwest. Additionally, we assessed the suitability of using RAP in riparian and wetland areas, which are absent in the current version’s training. Errors for bare ground in riparian areas were lower than errors of upland accuracy assessments (upland MAE = 10.22 %, riparian MAE = 7.22 %), but for all other functional groups, riparian error was higher (ΔMAE range: 0.21 – 20.49 %). We examine how our results could inform regional applications of fractional cover data while considering error and uncertainty and identify areas for potential model improvement. Our findings inform the use of RAP regionally and provide a technique for evaluating other vegetation mapping products for use in rangeland management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113267"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474014","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 nature-based solutions assessment framework integrating indigenous biocultural and ecosystem services perspectives: An Australian example","authors":"Kamaljit K. Sangha ,&nbsp;Ronju Ahammad ,&nbsp;Jeremy Russell-Smith ,&nbsp;Leigh-Ann Wolley ,&nbsp;ASRAC Aboriginal Corporation ,&nbsp;Mimal Land Management Aboriginal Corporation ,&nbsp;Djabuguy Aboriginal Corporation","doi":"10.1016/j.ecolind.2025.113230","DOIUrl":"10.1016/j.ecolind.2025.113230","url":null,"abstract":"<div><div>Assessing ecosystem services (ES) indicators has become vital to measuring the condition of ecosystems and their benefits, and informing policy and businesses for appropriate conservation and investment decisions. However, the ES indicators depending on ecosystem type, and the tools and measures developed to date mostly consider ecological attributes with little relevance to Indigenous Peoples and Local Communities (IPLC) contexts. Here, together with Australian Indigenous community participants, we assess and co-develop an integrated set of ecological and socio-cultural indicators, and associated assessment tools. We reviewed relevant global literature and conducted focus group meetings with three Indigenous groups, representing Traditional (Land) Owners, senior community members and rangers in northern Australia. Our literature review identified 30 ES indicators and associated assessment tools, addressing provisioning, regulating, biodiversity and cultural services, primarily across the forest, agriculture, wetland and grassland ecosystems. Largely, biodiversity and regulating services encompassed ecological indicators rather than provisioning and cultural services. Notably, the IPLC context was not captured within the reviewed literature on indicator frameworks. The results from focus group discussions with Indigenous participants addressed this gap, describing 16 appropriate indicators (and associated measurement tools) for assessing Indigenous people’s socio-cultural, ecological and economic experiences and aspirations. The proposed bottom-up, integrated biophysical and bio-cultural indicator framework empowers local communities and is useful for informing practitioners and emerging incentivising/Payment for ES schemes. Our conceptual framework is generic to adapt to any local context, and offers potential application in evolving Nature-based Solutions markets and for informing socio-economic, natural resource use management, and policy-related IPLC contexts in Australia and globally.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113230"},"PeriodicalIF":7.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479770","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":"Longitudinal path analysis of ecosystem water yield effects and its driving forces in the upper Yangtze River basin","authors":"Hongxiang Wang,&nbsp;Jiaqi Lan,&nbsp;Lintong Huang,&nbsp;Xuyang Jiao,&nbsp;Kaiang Zhao,&nbsp;Wenxian Guo","doi":"10.1016/j.ecolind.2025.113273","DOIUrl":"10.1016/j.ecolind.2025.113273","url":null,"abstract":"<div><div>Water ecosystem services in the upper Yangtze River basin (UYRB) provide essential ecological and economic benefits. This study evaluated the spatiotemporal changes in water yield (WY) from 2000 to 2020 and analyzed interactions between human activities and climate factors using the InVEST-AWY and SWAT models. The raster- and sub-basin-scale simulations captured spatial heterogeneity and validated the model outputs. Future WY distribution for 2030 was projected under two socioeconomic scenarios—urban development (UD) and ecological protection (EP)—by integrating CMIP6 climate data with the PLUS model to assess the combined effects of land use and climate change. The results show a steady increase in WY between 2000 and 2020, with low WY regions shifting westward. Climate factors, particularly precipitation, emerged as the primary drivers of WY, with their influence enhanced by interactions with socioeconomic factors over time. The impact of human activities on WY weakened after 2010, reflecting the positive outcomes of ecological protection policies. However, peak WY values in 2020 indicate a lag in the effects of these strategies on water supply. The 2030 projections revealed that the UD scenario would generate higher WY but with more uneven spatial distribution, while the EP scenario would enhance water retention and yield a more balanced distribution. Future management should balance ecological conservation with development, considering regional variability and accounting for the lag effects of land use changes. Implementing dynamic feedback mechanisms will help manage uncertainties and ensure sustainable water resource management in UYRB.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113273"},"PeriodicalIF":7.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471200","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}