Ecological Indicators最新文献

{"title":"Impacts of human footprint on habitat quality and permafrost environment in Northeast China","authors":"Jianjun Tang ,&nbsp;Xiaoying Jin ,&nbsp;Haowei Mu ,&nbsp;Sizhong Yang ,&nbsp;Ruixia He ,&nbsp;Xiaoying Li ,&nbsp;Wenhui Wang ,&nbsp;Shuai Huang ,&nbsp;Jiaxing Zu ,&nbsp;Hongwei Wang ,&nbsp;Zuwang Li ,&nbsp;Lin Yang ,&nbsp;Shanzhen Li ,&nbsp;Yanlin Shi ,&nbsp;Suiqiao Yang ,&nbsp;Raul-D. Serban ,&nbsp;Mihaela Șerban ,&nbsp;Alexander Fedorov ,&nbsp;Leonid Gagarin ,&nbsp;Ze Zhang ,&nbsp;Huijun Jin","doi":"10.1016/j.ecolind.2025.113587","DOIUrl":"10.1016/j.ecolind.2025.113587","url":null,"abstract":"<div><div>In Northeast China, intensified human footprints have greatly altered ecosystem service functions, leading to biodiversity decline, habitat fragmentation, and permafrost warming and thaw. For regional ecological security, it is crucial to conduct a detailed investigation of how human footprints affect the ecological environment and ground temperatures over the long-term. This study examines spatiotemporal characteristics of human footprints, habitat quality (HQ), and permafrost distribution in Northeast China using human footprint data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and GeoDetector model. The following results were obtained. (1) Between 2000 and 2020, human footprint of Northeast China experienced four growth stages with an overall growth rate of 54.2 %, with the most rapid growth between 2010 and 2015. Built environment and nighttime lights (NTL) significantly contributed to human footprint, while cropland had a relatively low contribution at only 1.3 %. (2) In Northeast China, total HQ decreased by 14.5 %, although high habitat degradation level increased by 2.5 %. The areal extent of high-level HQ patches declined by 12.2 % with rising human footprint index, and the proportion of low- and lower-quality habitats increased significantly. (3) Between 2000 and 2018, mean annual ground temperature in Northeast China increased by 0.15 °C, reflecting significant permafrost degradation and an average annual increase rate of 0.063 °C. During this period, permafrost area decreased by 0.9 × 10⁵ km², and the southern limit of latitudinal permafrost also shifted northward. (4) Waterways and roads are the main drivers of rising ground temperatures, with waterways having the highest q-value (0.56). The interactions between paired impacting factors also indicate that the highest q-value (0.71) for the intersections of waterways and roads. These research results may contribute to a better understanding of the relationships among human footprint, ecological environment, and ground temperatures in Northeast China, and help provide a basis for ecological conservation.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113587"},"PeriodicalIF":7.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaweb approach to unravel food web structures: Exploring environmental changes and biotic interactions in Korean stream ecosystems","authors":"Da-Yeong Lee ,&nbsp;Sagar Adhurya ,&nbsp;Dae-Seong Lee ,&nbsp;Young-Seuk Park","doi":"10.1016/j.ecolind.2025.113599","DOIUrl":"10.1016/j.ecolind.2025.113599","url":null,"abstract":"<div><div>Understanding food webs is crucial for grasping ecosystem functions and energy flows. However, the inherent complexity and variability of food web structures pose significant challenges to community ecology. The concept of a metaweb is key to overcoming these challenges. Metawebs enable the construction of food webs using biomonitoring data, and provide a comprehensive analysis of ecosystem interactions. Using network theory and food web metrics, we (1) applied metaweb approaches to construct and compare local food webs across multiple study sites, offering a holistic perspective on regional ecosystem dynamics; (2) examined the impacts of environmental changes on food web structures to identify patterns indicative of ecosystem status; and (3) evaluated the influence of habitat heterogeneity on food web configuration. Local food webs were constructed using the KF-metaweb and biomonitoring data from Korean streams, and food web structure metrics were subsequently calculated. Hierarchical cluster analysis of 255 local food webs, based on similarities in food web metrics, revealed five distinct clusters. Non-metric multidimensional scaling illustrated the relationships among food web metrics, environmental variables, and biological indices. The structural patterns of local food webs are associated with water quality, land use type, temperature, and stream magnitude. The responses of food web structures to environmental factors varied both in general trends and across clusters, highlighting the role of habitat heterogeneity in shaping food web responses. Certain food web metrics exhibit limited explanatory power regarding ecosystem status. This study provides a basis for future research by enabling cross-site comparisons using a metaweb framework, thereby advancing our understanding of ecological interactions and ecosystem dynamics.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113599"},"PeriodicalIF":7.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach","authors":"Aji Kusumaning Asri ,&nbsp;Hao-Ting Chang ,&nbsp;Chia-Pin Yu ,&nbsp;Wan-Yu Liu ,&nbsp;Yinq-Rong Chern ,&nbsp;Rui-Hao Xie ,&nbsp;Shih-Chun Candice Lung ,&nbsp;Kai Hsien Chi ,&nbsp;Yu-Cheng Chen ,&nbsp;Sen-Sung Cheng ,&nbsp;Gary Adamkiewicz ,&nbsp;John D. Spengler ,&nbsp;Chih-Da Wu","doi":"10.1016/j.ecolind.2025.113526","DOIUrl":"10.1016/j.ecolind.2025.113526","url":null,"abstract":"<div><div>This study investigated biogenic volatile organic compounds (BVOCs) emitted by tree species, with a specific focus on estimating their ambient air concentrations within the Xitou Nature Education Area, Taiwan. Employing geospatial-based machine learning approaches, which are rarely applied in this context, we aimed to estimate the ambient levels of key forest phytoncides which are representative compounds within the BVOC group. Data on phytoncide, including camphene and α-pinene, were directly collected from the study area. Geospatial data including meteorological factors, topography, land cover, and nearby landmarks were additionally collected and set as predictor variables influencing phytoncides. Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), and Light Gradient Boosting Machine (LGBM) were integrated with an explainable artificial intelligence tool to develop the model estimates. To evaluate model performance, we conducted overfitting tests, 10-fold cross-validation, and stratified analysis. The results showed that RF and XGB were the most effective algorithms, explaining approximately 83.3% and 98.4% of the spatiotemporal variability in camphene and α-pinene, respectively. The robustness of these models was confirmed through extensive validation. Spatial pattern analysis revealed that variations in these biogenic compound concentrations were linked to meteorological conditions and vegetation types. Finally, this study presented an innovative approach to accurately estimating and mapping the spatial distribution of forest phytoncides, providing valuable insights to support environmental management, urban planning, and public health.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113526"},"PeriodicalIF":7.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial-temporal pattern and supply-demand balance of land use carbon sequestration from a low-carbon perspective: A case study of Guizhou Province","authors":"Yuanhong Luo ,&nbsp;Yi Zhang ,&nbsp;Song Ma ,&nbsp;Chao Hou ,&nbsp;Limin Zhang","doi":"10.1016/j.ecolind.2025.113602","DOIUrl":"10.1016/j.ecolind.2025.113602","url":null,"abstract":"<div><div>In the pursuit of “carbon neutrality” and sustainable development, understanding the supply–demand dynamics and sustainability of regional carbon sequestration is vital for balancing ecological and economic growth. This study focus Guizhou Province, a typical karst region in southwestern China characterized by ecological fragility and significant carbon sequestration potential, to analyze the spatial–temporal evolution of carbon sequestration supply and demand from 2000 to 2020. Using the InVEST model, carbon emission factor method, gravity center migration model, and spatial autocorrelation analysis, we integrated multi-temporal land use and socio-economic data to assess the carbon sequestration supply–demand relationship. Key findings include: (1) Guizhou’ s carbon sequestration supply increased by 465 million tons, primarily from forestland and cultivated land, with a notable northwestward shift in supply. (2) Demand surged by 408 million tons, primarily driven by urban expansion in the northeast. (3) The carbon service supply and demandratio (CSSDR) declined from 0.53 to 0.44, revealing a shrinking surplus and significant spatial mismatch, particularly in urbanizing areas. These results provide a scientific basis for spatially differentiated land use policies and ecological compensation mechanisms, offering a replicable framework for other ecologically vulnerable regions pursuing carbon neutrality.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113602"},"PeriodicalIF":7.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The overlooked but crucial role of rare algal species in ecosystem stability and diversity: Examples from freshwater lakes East of the Hu Huanyong line","authors":"Wei Wang ,&nbsp;Zhongshi He ,&nbsp;Xinyue Yang ,&nbsp;Junping Lv ,&nbsp;Xudong Liu ,&nbsp;Shulian Xie ,&nbsp;Jia Feng","doi":"10.1016/j.ecolind.2025.113604","DOIUrl":"10.1016/j.ecolind.2025.113604","url":null,"abstract":"<div><div>Most biotic and abiotic interactions among aquatic species in freshwater ecosystems remain unknown, which frequently results in the assumption that dominant species play the most crucial ecological role. This tendency is particularly evident in studies of phytoplankton communities that has predominantly focused on common and abundant members such as cyanobacteria, which overlooks the ecological contributions of rare (non-dominant and uncommon) species. This study investigated freshwater ecosystems east of the Hu Huanyong Line, examining the ecological roles of common and rare algal genera. Results indicated that common algal genera significantly influence community dynamics and occupy central positions in ecological networks. By contrast, rare algal genera, situated at network peripheries, were crucial for ecosystem stability and maintaining ecosystem stability through distinct “presence or absence patterns”. Furthermore, the diversity and abundance of rare algae were negatively correlated with multiple nutrient factors (−0.347, −0.327), contrasting the positive relationship observed for common algae (0.378, 0.292), which indicates their vulnerability to eutrophication. Overall, this study emphasizes the importance of conserving rare algal species in order to maintain ecosystem stability and biodiversity in the face of global environmental change.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113604"},"PeriodicalIF":7.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China","authors":"Yang Jin ,&nbsp;Mingkan Zhang ,&nbsp;Danying Yan ,&nbsp;Kun Li ,&nbsp;Chao Zhou ,&nbsp;Xi Chen","doi":"10.1016/j.ecolind.2025.113613","DOIUrl":"10.1016/j.ecolind.2025.113613","url":null,"abstract":"<div><div>Constructing nocturnal ecological networks at the municipal scale is crucial for conserving nocturnal biodiversity and promoting regional ecological sustainability. In this study, focusing on nocturnal birds (<em>Strigiformes</em>) in Hangzhou City as an example, from temporal and spatial dimension to integrate environmental variables in order to identify nocturnal ecological network. Using community detection methods to analyze the differences in attributes, habitats, and topological structures between network communities. In order to analyze the impact of communities on network resilience, four network optimization strategies were developed to simulate different scenarios. From transient and continuous impact perspectives, using the Maximum Connected graph and Global Efficiency to measure network resilience. The study identified 133 ecological sources, 378 ecological corridors, and 5 communities. The priority protection community is located in the centre urban. Enhancing internal-community connectivity is more suitable to protect against transient attacks, while enhancing external-community connectivity is more effective to protect against cascading failures. The choice of dominant and subordinate communities also has a significant impact on network resilience. These findings provide important insights for building and optimizing dark infrastructure, and make substantial contributions to preserving nocturnal biodiversity and enhancing urban sustainability.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113613"},"PeriodicalIF":7.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lake-area shrinkage driven by the combined effects of climate change and human activities","authors":"Qingfeng Miao ,&nbsp;Xiaoyu Liu ,&nbsp;Haibin Shi ,&nbsp;Zengming Wei ,&nbsp;Yuli Luo ,&nbsp;Yanhua Wang ,&nbsp;José Manuel Gonçalves ,&nbsp;Weiying Feng","doi":"10.1016/j.ecolind.2025.113606","DOIUrl":"10.1016/j.ecolind.2025.113606","url":null,"abstract":"<div><div>Examining lake-area evolution and influencing factors is essential for understanding global environmental and societal changes and supporting ecological sustainability. Inner Mongolia, China, given its unique geographical and climatic conditions, serves as a natural laboratory for investigating the complex coupling mechanisms of “climate–hydrology–humanities.” Accordingly, we analyzed data regarding annual area changes in 655 lakes across five basins obtained from Landsat, Sentinel-2, and pushbroom multispectral scanner (1987–2023), combined with meteorological, hydrological, and human factors affecting lake-area changes. Results indicated that lake areas varied from 4059.36 to 6489.46 km² in 1987–2023, exhibiting an overall decline of 38.06 km²/a (<em>R²</em> = 0.39, <em>p</em> &lt; 0.001). This trend was nonlinear, exhibiting area expansion (1987–1998), rapid shrinkage (1998–2010), and stabilization after a slight rebound (2010–2023). Natural factors dominated lake-area dynamics in the Songhua and Northwest River Basins, while human activities, particularly agriculture, were key drivers in the Liaohe, Haihe, and Yellow River Basins. These findings provide critical insights into the drivers of lake-area changes and establish a scientific basis for developing effective water-resource management and ecological protection strategies.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113606"},"PeriodicalIF":7.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trend analysis of the coupling effect between new urbanization and resources-environment in the Guangdong-Hong Kong-Macao Greater Bay area","authors":"Hongyi Dou ,&nbsp;Guoqin Zhang","doi":"10.1016/j.ecolind.2025.113601","DOIUrl":"10.1016/j.ecolind.2025.113601","url":null,"abstract":"<div><div>Achieving sustainable urbanization necessitates the assurance of the stability and functionality of the urbanization-resource-environment system, but extant studies lack adequate methods for dynamic prediction and analysis of new urbanization characteristics. This study constructs an urbanization-resource-environment system dynamics (SD) model that highlights the new urbanization characteristics to simulate and predict the development trends from 1990 to 2035 at urban cluster and city scales. Additionally, it develops a comprehensive coupling coordination model to evaluate the multidimensional dynamics of the coupling relationship and the main control elements. The findings indicated that the urbanization-resource-environment coupling effects of various cities within the Greater Bay Area exhibit distinct spatial heterogeneities attributable to their disparate resource endowments and development processes, the coupling coordination development index (CDI) of core cities like Hong Kong and Shenzhen had declined by about 0.2, while peripheral cities like Huizhou sustained growth. However, the CDI of urban cluster fluctuating steadily at 0.63–0.72 with an average annual increase of about 0.2%, indicating minimal risk of imbalance in coupling development. Among these factors, urbanization indicators reveal a gradual deceleration in growth trend after 2025, while the resources utilization of the urban cluster tends to be stable, and the coordination of the environmental system relies more on intermittent policy regulation. Furthermore, the examination of trends and controlling factors offers policymakers the opportunity to implement targeted management strategies and multidimensional macro-control planning. The framework is also applicable to other rapidly developing urban clusters, providing a scientific basis for urban planning, ecological protection, and sustainable development.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113601"},"PeriodicalIF":7.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Habitat Dependency Index: A new tool for quantifying species-habitat relationships","authors":"Cristina Piñeiro-Corbeira ,&nbsp;Johanna Zimmerhackel ,&nbsp;Rodolfo Barreiro ,&nbsp;Scott Bennett ,&nbsp;Michael Burton ,&nbsp;Aaron M. Eger ,&nbsp;João N. Franco ,&nbsp;Camille Lavoie ,&nbsp;Laura Rogers-Bennett ,&nbsp;Samuel Starko ,&nbsp;Mads Thomsen ,&nbsp;Karen Filbee-Dexter ,&nbsp;Kjell Magnus Norderhaug ,&nbsp;Thomas Wernberg","doi":"10.1016/j.ecolind.2025.113612","DOIUrl":"10.1016/j.ecolind.2025.113612","url":null,"abstract":"<div><div>Habitat loss is a key threat to ecosystems and species that rely on them, with direct consequences for human well-being. Quantifying the degree to which species depend on specific habitats is critical for many fields of knowledge, such as conservation biology or economic valuations, yet poses a complex challenge. We introduce a new method to objectively quantify how much species depend on a habitat by integrating their life-cycle habitat associations. Through a comprehensive literature review focusing on 36 species associated with kelp forests, we demonstrate how this ‘Habitat Dependency Index’ (HDI) effectively discriminates between closely related species and captures differences in their reliance on kelp forests. We suggest this new HDI constitutes a powerful tool for understanding the role of marine habitats in supporting fisheries, biodiversity, and other ecosystem services. Moreover, the approach is broadly applicable and can provide essential information for managing both aquatic and terrestrial ecosystems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113612"},"PeriodicalIF":7.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulated fire observables as indicators for optimizing wireless sensor networks in wildfire risk monitoring","authors":"Juan Luis Gómez-González ,&nbsp;Effie Marcoulaki ,&nbsp;Alexis Cantizano ,&nbsp;Myrto Konstantinidou ,&nbsp;Raquel Caro ,&nbsp;Mario Castro","doi":"10.1016/j.ecolind.2025.113509","DOIUrl":"10.1016/j.ecolind.2025.113509","url":null,"abstract":"<div><div>Uncontrolled wildfires cause significant damage and economic costs. Wireless Sensor Networks (WSNs) can mitigate these impacts by detecting fires early across extensive wildland areas. This work presents a simulation-driven optimization framework for localizing WSNs to enhance early wildfire detection and minimize potential damage. Formulated as a Multi-Objective Optimization Problem (MOOP) and solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), the method utilizes dynamic wildfire simulations and considers stochastic variables such as ignition likelihood and weather conditions. The methodology is general and independent of the simulation model or the studied region. The framework supports decision-making under uncertainty, ensuring the designed networks remain effective across varying conditions. A practical case study with validated fire behaviour demonstrates the robustness of the approach to identify the most efficient and cost-effective sensor locations. Results show significantly better performance compared to uniform sensor grids and WSNs designed for fixed-weather scenarios, highlighting the benefits of this approach for wildfire management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113509"},"PeriodicalIF":7.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}