Environmental Monitoring and Assessment最新文献

{"title":"Is ecological quality of river-connected lake basin higher than disconnected lake basins in the lower reaches of the Yangtze River, China?","authors":"Dong-zheng Yu,&nbsp;Ying Huang,&nbsp;Jing-wei Yang,&nbsp;Xiang-rong Song,&nbsp;Xin-sheng Chen","doi":"10.1007/s10661-026-15385-z","DOIUrl":"10.1007/s10661-026-15385-z","url":null,"abstract":"<div><p>In many lake basins, connections between lakes and rivers have been severed to mitigate flood risks and develop the social economy. This isolation may degrade the ecological quality of lake basins, yet comparative studies on the ecological qualities of connected and disconnected lake basins are scarce. In this study, we evaluated the spatiotemporal variations in the ecological quality and driving factors between connected (Shijiu Lake) and disconnected (Shengjin Lake and Longgan Lake) lake basins in the lower reaches of the Yangtze River from 2000 to 2023 using the Google Earth Engine platform, with water bodies masked via the Modified Normalized Difference Water Index. The results revealed that the remote sensing ecological index (RSEI) of the three basins generally increased but with distinct changing trends. The river-connected Shijiu Lake Basin presented a higher RSEI than the disconnected Shengjin and Longgan Lake Basins from 2005–2010, while the opposite was observed from 2015–2023. RSEI hotspots were primarily distributed in mountainous areas, while cold spots were mainly around lake areas. The main drivers of RSEI in the Shijiu Lake Basin were land use intensity and its interactions, whereas in the Shengjin Lake Basin, changes were primarily driven by forest cover change and its interactions. Our results emphasized the role of anthropogenic activities such as land use and forestation in driving the changes of RSEI in the lake basins of the Yangtze River. The low ecological quality in connected lake basins during 2015–2023 and the dense cold spots of RSEI around lake areas suggest that current ecological restoration projects should be prioritized in connected lake basins of the Yangtze River, especially around lake areas.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Quantifying the decoupling of pollution magnitude and geochemical signatures in livestock manure: a novel geometric fingerprint approach","authors":"Qiu Cheng,&nbsp;Yi Jijun,&nbsp;Fan Shoubo,&nbsp;Du Qiuxiang,&nbsp;Li Qianglin,&nbsp;Wang Liting,&nbsp;Liang Qingling,&nbsp;Zheng Guihua,&nbsp;Xiong Ping","doi":"10.1007/s10661-026-15360-8","DOIUrl":"10.1007/s10661-026-15360-8","url":null,"abstract":"<div><p>The rapid transition from backyard to industrial livestock production has profoundly altered the geochemical characteristics of agricultural wastes, yet conventional risk assessment frameworks remain predominantly concentration-oriented and lack the capacity to resolve structural imbalances within the heavy metal suite. This study proposes a novel two-dimensional geometric fingerprinting framework to quantify the decoupling between pollution magnitude and structural distortion in livestock manure. A total of 204 manure samples were collected from a representative intensive farming region in the Sichuan Basin, Southwest China. Eight heavy metals and pH were analyzed, and concentrations were dynamically normalized using the pH-dependent thresholds defined in the Ministry of Ecology and Environment of the People’s Republic of China standard GB 15618-2018. Two geometric descriptors were derived from radar projections of risk quotients: the comprehensive risk area (<i>S</i>_area), representing cumulative pollution magnitude, and the coefficient of variation (CV), quantifying fingerprint distortion. Results revealed a significant expansion of pollution magnitude under industrial farming, accompanied by intensified structural imbalance, primarily driven by excessive Cu and Zn inputs. Principal component analysis further confirmed a clear structural divergence between backyard and industrial systems. Critically, no significant linear correlation was observed between <i>S</i>_area and CV, demonstrating a stochastic decoupling between total load and geochemical structure. This dual-indicator framework reveals that pollution magnitude does not inherently predict structural distortion, highlighting the inadequacy of single-metric assessments. By integrating dynamic regulatory normalization with geometric topology, the study establishes a structural early warning paradigm for manure management.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Forest carbon stock estimation in a mountainous region using locally adaptive machine learning approaches","authors":"Xiao Chen,&nbsp;Chengzhi Xie,&nbsp;Tianle Wei,&nbsp;Yuxin Ding,&nbsp;Yuhuan Cui,&nbsp;Shuang Hao","doi":"10.1007/s10661-026-15368-0","DOIUrl":"10.1007/s10661-026-15368-0","url":null,"abstract":"<div><p>Accurate estimation of forest carbon stocks is essential for climate change mitigation, particularly in mountainous regions where strong spatial heterogeneity constrains the performance of conventional remote sensing models. This study investigates whether incorporating local sample weighting and robust parameter optimization can enhance the reliability of forest carbon stock estimation under spatial heterogeneity. A locally weighted regression framework based on Support Vector Regression was developed by integrating neighborhood-based sample weighting with a global hyperparameter optimization strategy and applied to Huoshan County, Anhui Province, China. The analysis was based on Landsat optical data and DEM-derived topographic variables, combined with field-based forest inventory data. Results indicate that the proposed approach achieved higher predictive performance than five commonly used regression models, with a test-set coefficient of determination (<i>R</i>²) of 0.763 and a root mean square error (RMSE) of 6.72 t·ha⁻¹, and demonstrated improved robustness in spatially heterogeneous forest areas. The findings suggest that locally weighted machine learning methods provide an effective and reliable tool for regional forest carbon stock mapping in complex mountainous environments.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Alkali-activated copper smelting slag-based backfill material: mechanical performance, heavy metal immobilization mechanisms, and leaching kinetics","authors":"Chunwu Yang,&nbsp;Wei Sun,&nbsp;Shaoyong Wang,&nbsp;Chong Chen","doi":"10.1007/s10661-026-15352-8","DOIUrl":"10.1007/s10661-026-15352-8","url":null,"abstract":"<div><p>Large-scale stockpiling of copper smelting slag (CSS) poses significant environmental risks, and its utilization in backfill mining offers a promising strategy for waste reduction and resource recovery. This study investigates an alkali-activated CSS-based filling material (CSSFM) prepared using cement clinker, gypsum, slaked lime, and NaOH as activators. Unlike previous studies that focused primarily on mechanical performance or incorporated fly ash as a secondary precursor, this work achieves a high slag incorporation rate of 69% while systematically examining mechanical behavior, heavy metal immobilization mechanisms, and leaching kinetics. The optimized mixture attained a 28-day uniaxial compressive strength of 32.43 MPa, meeting the mechanical requirements for backfill applications. Leaching tests revealed that after 28 days of curing, Cu²⁺, Zn²⁺, and As³⁺ concentrations decreased by 70.3%, 76.1%, and 64.7% respectively, with final values of 0.22, 0.16, and 0.30 mg/L. All these values are well below the limits stipulated by the Chinese Hazardous Waste Identification Standard (GB 5085). Kinetic analysis showed that the pseudo-first-order model accurately described Cu²⁺ and Zn²⁺ leaching, with correlation coefficients of 0.989 and 0.953, while As³⁺ exhibited more complex behavior with a correlation coefficient of 0.848 and a longer half-life of 18.51 days. SEM–EDS analysis further elucidated the immobilization mechanisms. Cu²⁺ was stabilized through Cu(OH)₂ precipitation and adsorption onto C–S–H gel. As³⁺ was immobilized via formation of insoluble calcium arsenate and isomorphous substitution of SO₄²⁻ by AsO₄³⁻ within the AFt structure. Zn²⁺ was primarily encapsulated within the C–S–H/AFt network. This study provides a mechanically reliable method for CSS reuse in backfill mining, with short-term leaching tests indicating compliance with regulatory standards for environmental safety.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Presence of micro-mesoplastics in beaches and sediments of São Francisco do Sul (Brazil)","authors":"Elisângela S. Lopes-Ricardo,&nbsp;Amarildo O. Martins,&nbsp;Uberson B. Rossa,&nbsp;Eduardo A. W. Ribeiro,&nbsp;André R. Prado,&nbsp;Erik N. Gomes,&nbsp;Claudemir M. Radetski","doi":"10.1007/s10661-026-15277-2","DOIUrl":"10.1007/s10661-026-15277-2","url":null,"abstract":"<div><p>The coastal environment is a critical interface for monitoring plastic pollution. This study investigated microplastics (MPs, &lt; 5 mm) and mesoplastics (MePs, 5–25 mm) in Praia Grande, São Francisco do Sul (SC State, Brazil), using stereomicroscopy and ATR-FTIR spectroscopy. Two sites with contrasting urbanization and tourism levels were assessed. Area #1, the more urbanized site, exhibited higher concentrations of MPs (70.44 particles·m⁻²) and MePs (25.11 particles·m⁻²) than Area #2 (19.11 MPs·m⁻²; 6.67 MePs·m⁻²). Morphological analysis revealed predominance of fragments in Area #1 and fibers (MPs) or foam (MePs) in Area #2. White, blue, and translucent particles were most abundant, while polymer identification highlighted the dominance of polyethylene, polypropylene, and styrene-butadiene copolymer, reflecting both global production patterns and local anthropogenic inputs. Sediment granulometry and hydrodynamics emerged as primary drivers of plastic retention, modulated by urbanization and tourism. Positive correlations between MePs and MPs indicate that MePs act as transitional reservoirs, contributing to secondary microplastic formation. These findings emphasize the hierarchical interplay of physical and anthropogenic factors in shaping coastal plastic distribution and provide a process-based framework to inform monitoring and management strategies.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15277-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Chemical contaminants and fish: implications for health and ecosystem sustainability","authors":"Muhammad Sohail,&nbsp;Mohammad Ali Nematollahi,&nbsp;Sardar Suleman,&nbsp;Syed Sikandar Habib","doi":"10.1007/s10661-026-15351-9","DOIUrl":"10.1007/s10661-026-15351-9","url":null,"abstract":"<div><p>Chemical pollutants in aquatic ecosystems pose a significant and growing threat to fish health and overall ecosystem sustainability. This review highlights recent findings on the ecotoxicological effects of major aquatic contaminants, including industrial effluents often containing heavy metals (HMs) along with agrochemicals, pharmaceuticals, and personal-care products (PPCPs) on fish species. Particular emphasis is placed on the underlying mechanisms of toxicity, such as immunotoxicity, which increases susceptibility to infections, and neurotoxicity, which alters behavior and predator avoidance, ultimately reducing fish survival. In addition, emerging contaminants, including microplastics and nanomaterial residues, are critically examined due to their potential role in biodiversity loss and ecosystem instability. The review also discusses advanced assessment tools, such as biomarker-based approaches, omics technologies, machine learning models, and high-throughput screening techniques, which provide innovative strategies for evaluating and mitigating toxicological impacts. By integrating interdisciplinary perspectives, this review provides a comprehensive framework to support regulatory policies and promote sustainable management practices aimed at protecting aquatic biodiversity and maintaining ecosystem health.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"A high-resolution expert–analytical framework for spatially explicit assessment of multi-hazard exposure in semi-arid mountain protected areas","authors":"Akram Nouri-Kamari,&nbsp;Fariba Karami,&nbsp;Tim G. Frazier","doi":"10.1007/s10661-026-15200-9","DOIUrl":"10.1007/s10661-026-15200-9","url":null,"abstract":"<div><p>Semi-arid mountain protected areas are increasingly exposed to interacting climatic and human-induced hazards that threaten ecosystem stability and conservation planning. This study develops a high-resolution, spatially explicit expert-analytical framework to assess multi-hazard exposure in the Sheida Protected Area (23,832 ha) in Iran’s Zagros range. Eight major hazards—drought, soil erosion, evapotranspiration, high-wind events, wildfires, extreme temperatures, floods, and landslides—were quantified using long-term meteorological records and high-resolution geospatial datasets. A Delphi-based expert elicitation (<i>n</i> = 10; Cronbach’s <i>α</i> = 0.94) was used to derive hazard weights, which were integrated with standardized spatial indicators across a 1-km² grid (<i>n</i> = 1122 cells) to construct a composite exposure index. Spatial autocorrelation analyses (Global Moran’s <i>I</i> and LISA) identified strong clustering of exposure intensities, with 18.3% of the landscape forming significant High-High hotspots in the southern sector. Drought (weight = 0.181) and wildfires (0.168) emerged as dominant drivers, consistent with regional climate-driven stress patterns. A support vector machine (SVM) model (AUC = 0.90 training; 0.85 validation) further indicated high wildfire susceptibility across 65% of the area. The results provide a robust, scalable approach for multi-hazard assessment in semi-arid mountainous social-ecological systems and delineate priority zones for fire management, soil conservation, watershed stabilization, and climate-adaptive ecosystem stewardship.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture><span>The alternative text for this image may have been generated using AI.</span></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Geospatial data and analytical tools for shoreline change monitoring: a global trend analysis","authors":"Anan Al-Marri,&nbsp;Noorashikin Md Noor,&nbsp;Hazrat Bilal,&nbsp;Khairul Nizam Abdul Maulud,&nbsp;Ricky Anak Kemarau,&nbsp;Tareq Al-Ansari","doi":"10.1007/s10661-026-15392-0","DOIUrl":"10.1007/s10661-026-15392-0","url":null,"abstract":"<div><p>Coastal erosion, driven by climate change, sea-level rise, and human activities, poses critical risks to coastal ecosystems and communities worldwide. Understanding how the scientific community has investigated shoreline change is essential for advancing monitoring and management strategies. This study presents a bibliometric review of global research on shoreline change detection, analysing 2,711 publications (2014–2024) retrieved from Scopus and Web of Science. Following duplicate and language screening, 2,009 studies were assessed using Bibliometric R and VOSviewer. Results indicate that the United States leads global output (33.7%), with collaborations concentrated among developed nations. A marked methodological shift was observed from traditional beach transects to geospatial technologies, with image-based approaches dominating (62.8%), followed by numerical (26.9%) and field-based (10.3%) methods. Tools such as DSAS and ArcGIS remain central, while machine learning applications, though limited (3.4%), show increasing potential for automation and predictive modeling. Research gaps persist, particularly in integrating nature-based shoreline protection measures and applying AI-driven approaches. Future directions should prioritize interdisciplinary frameworks that combine remote sensing, GIS, numerical modelling, and machine learning to improve shoreline monitoring and resilience.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Geospatial analysis of flooding events using Sentinel-1 and Sentinel-2 data: a tale of two South African cities","authors":"Elizabeth Modjadji Rathupetsane,&nbsp;Mahlatse Kganyago","doi":"10.1007/s10661-026-15321-1","DOIUrl":"10.1007/s10661-026-15321-1","url":null,"abstract":"<div><p>The frequency and severity of floods have increased in the last five decades due to climate change and human activities, significantly impacting human lives, economies, and infrastructure. South Africa is among the most affected regions, primarily due to informal settlements, limited resources, and a weak capacity to respond to the growing flood risk, with annual impacts increasing. Earth Observation data offers crucial insights for flood monitoring and risk management, yet studies and proactive measures remain limited in the country. Therefore, this paper conducted a geospatial analysis of recent flooding incidents (i.e., 2017–2022) in two South African cities using Sentinel-1 and Sentinel-2 datasets within a cloud computing environment. Specifically, we evaluated the potential of Sentinel-1 Radar and Sentinel-2 multispectral data for flood mapping using thresholding techniques and estimated the number of people affected by incorporating statistical and building-count data. The results showed that Sentinel-2 misclassified many areas due to confusion with clouds shadows. In contrast, Sentinel-1 showed greater potential for rapidly mapping floods near the incident date and estimating the number of people exposed, making it suitable for rapid flood assessments. Consequently, flooded areas derived from Sentinel-1 imagery were more realistic, indicating that about 60,000 people were cumulatively affected by flooding in eThekwini in April 2019 and October 2017, respectively. Comparatively, relatively few people (i.e., ~ 42,068 in March 2018 and 39,903 in February 2020) were affected by the various flood incidents in Johannesburg. Overall, the study has the potential to provide pertinent information on flooded areas and to aid follow-up analysis, such as infrastructure damage assessment, thereby offering prospects for informing not only disaster management and policy formulation but also critical decisions and resource allocation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15321-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Assessment of pollution load from socio-economic activities discharged into coastal areas: case study of Quang Tri province (Vietnam)","authors":"Cao Thi Thu Trang,&nbsp;Pham Thi Kha,&nbsp;Tran Anh Tu,&nbsp;Dinh Van Nhan,&nbsp;Le Van Nam,&nbsp;Nguyen Dac Ve","doi":"10.1007/s10661-026-15298-x","DOIUrl":"10.1007/s10661-026-15298-x","url":null,"abstract":"<div><p>Quang Tri Province, located in the central region of Vietnam at the southern gateway to the Gulf of Tonkin, includes coastal areas and Con Co Island, which serve as important habitats and breeding grounds for high economic value marine species. Using rapid environmental assessment methods and direct measurements at discharge sources, the amount of waste discharged into coastal waters has been estimated. Each year, socio-economic development activities of Quang Tri province discharge approximately 23.5 thousand tons of COD, 8.5 thousand tons of N-T, over 650 tons of P–T and about 125 thousand tons of TSS into the coastal waters. The discharged amounts represent 13% to 78% of the total waste generated for each pollutant. Among the generated waste sources in the province, livestock and poultry activity contribute to the largest share, followed by domestic and industrial source. Meanwhile, the capacity to treat domestic wastewater in urban areas only reaches about 11%; the capacity to treat livestock and poultry waste reaches about 60%; and industrial waste treatment infrastructure is still inadequate and underfunded. To minimize the amount of waste discharged into the coastal waters, Quang Tri Province must increase investment in source-level waste treatment and strengthen environmental management measures.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}