Ecological Indicators最新文献

{"title":"Decomposed efficiency and driving mechanisms of agricultural carbon emissions: Evidence from the Yangtze River Economic Belt, China","authors":"Lei Wang ,&nbsp;Chunhua Li ,&nbsp;Shuangfei Zhao ,&nbsp;Jing Zhao ,&nbsp;Mohan Peng","doi":"10.1016/j.ecolind.2026.114914","DOIUrl":"10.1016/j.ecolind.2026.114914","url":null,"abstract":"<div><div>Under the context of global climate change, reconciling food security with low-carbon development poses a complex spatial data challenge for agricultural basins worldwide. Existing evaluations of Agricultural Carbon Emission Efficiency (ACEE) typically rely on aggregate indicators, treating the agricultural sector as a “black box” and lacking the computational resolution to reveal structural ecological trade-offs among internal production factors. To overcome this data limitation, this study constructs a high-resolution computational decomposition framework applied to the Yangtze River Economic Belt (YEB), China (2003−2022). By integrating the Directional Distance Function (DDF) for multi-dimensional factor deconstruction, Standard Deviational Ellipse (SDE) for trajectory tracking, and Partial Least Squares Regression (PLS-R) for complex network modeling, we systematically uncover the spatiotemporal dynamics and systemic drivers of ACEE. The results demonstrate that: <span><span>Abdi (2010)</span></span> (1) Total-factor efficiency evolved nonlinearly, and SDE tracking visualizes a spatial drag effect driven by the decline in resource efficiency in the mid-stream regions. <span><span>Charnes et al. (1978)</span></span> (2) The structural decomposition exposes a severe ecological asymmetry: while labor and machinery efficiencies improved rapidly due to technological substitution, fertilizer and irrigation efficiencies remained in a state of low-value lock-in. This reveals a critical “Masking Effect” in current agricultural transformations, where capital-driven data statistically conceals deep-seated resource intensity. <span><span>Chen and Kou (2014)</span></span> (3) PLS-R modeling identifies systemic spatial trade-offs: urbanization and the urban-rural income gap drive technological substitution, while spatial heterogeneity—manifested as land fragmentation in mountainous terrains—induces a “Scale Paradox” that hinders ecological economies of scale. This study provides a transferable data deconstruction and diagnostic protocol for evaluating multidimensional ecological performance in global agricultural basins.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114914"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798956","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":"Core microbiota in multitrophic communities regulate nitrogen metabolism in aquatic ecosystems: Evidence from Changtan reservoir","authors":"Jing Wang ,&nbsp;Hanxiao Zhang ,&nbsp;Shouliang Huo ,&nbsp;Jingtian Zhang ,&nbsp;Yong Liu","doi":"10.1016/j.ecolind.2026.114908","DOIUrl":"10.1016/j.ecolind.2026.114908","url":null,"abstract":"<div><div>Exploring the effects of multitrophic microbiota on nitrogen transformation processes and evaluating the contributions of core microbiota in multitrophic groups are critical for nitrogen management in reservoirs. However, current studies have largely focused on bacterial communities, neglecting the profound roles of multitrophic interactions in biogeochemical processes. Here, we employed a multi-omics approach in Changtan Reservoir to investigate multitrophic community dynamics, their effects on nitrogen transformations, and the contributions of core taxa. Our results revealed that multitrophic community composition regulated nitrogen transformation processes primarily via trophic cascades driven by top-down predation, bottom-up resource allocation, and species interaction, with core taxa acting as dominant contributors. Analysis of community drivers indicated that multitrophic α- and β-diversity was mainly affected by biotic factors, except for bacterial and fungal richness. Co-occurrence networks demonstrated that multitrophic taxa were directly linked to nitrogen-metabolizing genes, with competitive interactions outweighing positive ones, particularly in denitrification, N₂ fixation, and nitrification processes. Temporal dynamics showed that competition with algae suppressed nitrification in spring, while competition with Cyanobacteria promoted N₂ fixation in summer. Invertebrate bioturbation was identified as a key factor leading to declined denitrification in autumn. Furthermore, core taxa were essential for maintaining network stability and modulating nitrogen-metabolizing gene abundance by community assembly and multitrophic β-diversity. These findings highlight the significance of incorporating multitrophic interactions and core taxa dynamics into aquatic nitrogen management strategies and policy formulation, proposing the enhancement of multitrophic diversity and cross-trophic synergy as viable approaches to optimize nitrogen cycling in reservoir ecosystems.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114908"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798861","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":"Multi-scale riparian land use, landscape configuration, and water quality in a tidal urban river: spatial gradients and sensitive bands along the Huangpu River, Shanghai","authors":"Hong-yu Du","doi":"10.1016/j.ecolind.2026.114911","DOIUrl":"10.1016/j.ecolind.2026.114911","url":null,"abstract":"<div><div>To characterize the scale-dependent associations between riparian land use, landscape configuration, and water quality in a tidal urban river, this study used water-quality monitoring data from multiple river reaches. Multi-scale cumulative buffers of 0–100 m, 0–200 m, 0–400 m, and 0–800 m were delineated, from which land-use composition and landscape-pattern metrics were derived. Correlation analysis and redundancy analysis (RDA) were employed to identify the land-use and landscape variables most strongly associated with variations in water quality. The results indicate that urban land use is consistently positively correlated with COD_Mn, BOD₅, TN, and TP and negatively correlated with DO at three or four of the four buffer scales examined, making it the most consistently associated land-use variable across buffer widths. IL showed significant associations with water-quality indicators at the 0–100 m scale but not at broader scales, while AL–TP and AL–TN associations reached statistical significance at the 0–200 m and 0–400 m scales but were non-significant at the 0–100 m and 0–800 m scales. Forest land, green land, and wetland/water areas are associated with higher dissolved oxygen and lower pollutant concentrations, consistent with the known filtering and oxygen-replenishment functions of riparian ecological land. AL–TP and AL–TN correlations reached significance at the 0–200 m and 0–400 m buffer scales but were non-significant at the narrowest (0–100 m) and broadest (0–800 m) scales; this scale-dependent significance pattern is treated as a hypothesis-generating finding, as formal cross-scale comparisons did not reach statistical significance at the current sample size (<em>n</em> = 8). At the 0–800 m scale, ED showed significant associations with TN and TP; given limited statistical power and a modest RDA contribution (3%), this is reported as an exploratory finding. Based on these findings, we propose a zoned management framework—“near-bank ecological buffering–intermediate-scale source–pathway management–source-area structural optimization”—to integrate riparian spatial planning with nonpoint-source pollution control. This study provides transferable spatial evidence and an approach for identifying sensitive bands for water-quality management in tidal urban river networks from both multi-scale and landscape-configuration perspectives.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114911"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798862","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":"Exploring the diverse trajectories of cropland use change in fragile ecosystems of northern China: Influencing factors and policy implications from Ordos","authors":"Lei Wang ,&nbsp;Zhen Liu ,&nbsp;Wei Qi","doi":"10.1016/j.ecolind.2026.114889","DOIUrl":"10.1016/j.ecolind.2026.114889","url":null,"abstract":"<div><div>Much of China's cropland is located in fragile environments, making its rational use and protection essential for mitigating environmental risks and safeguarding food security. However, the diverse trajectories of cropland use change driven by unique natural conditions have not received sufficient attention. Taking Ordos as a case study, this study analyzes continuous land use data from 2010 to 2020 and identifies four cropland trajectories: very stably used, generally stably used, recurrently transitioning, and abandoned. We employ a multi-level regression model to examine the drivers of cropland use change, accounting for parcel- and regional-level factors and their interactions. The results show that: (1) In Ordos, 54% of cropland parcels remained very stably used between 2010 and 2020, while 25% showed general stability with intermittent fallowing. Recurrently transitioning and abandoned parcels accounted for 14% and 7%, respectively. This distribution significantly differs from the patterns observed in plains and mountainous regions. (2) Cropland use trajectories are primarily dictated by parcel-level natural conditions and accessibility, while the impact of regional-level processes is relatively weaker. (3) Interactions between regional and parcel-level factors significantly shape cropland use trajectories. Notably, rural depopulation exacerbates parcel-level constraints, focusing instability risks on cropland with poor conditions. Given the recurrent transitions in cropland use, we suggest replacing rigid regulations with more flexible management in fragile ecosystems. Such flexibility can better promote both sustainable utilization and ecological conservation.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114889"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798863","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":"Flower species richness is an effective indicator of aboveground grassland arthropod biodiversity","authors":"J.P. Reinier de Vries ,&nbsp;Remco Ploeg ,&nbsp;José G. van Paassen ,&nbsp;Aart Noordam ,&nbsp;Koen Verhoogt ,&nbsp;David Kleijn","doi":"10.1016/j.ecolind.2026.114898","DOIUrl":"10.1016/j.ecolind.2026.114898","url":null,"abstract":"<div><div>To curb biodiversity loss, reliable and scalable indicators that represent a broad range of species groups are urgently needed. Habitat quality metrics may provide more broadly representative and more efficiently measurable biodiversity indicators than single species groups. However, few studies have critically evaluated the applicability of such indicators across multiple arthropod groups. Flower abundance and diversity may reflect multiple aspects of habitat quality in grasslands, including resource availability, vegetation structure and microclimate. Therefore, we test if the species richness and total cover of open flowers can indicate local species richness of plants and multiple arthropod groups in grasslands. In April, June and July 2022, flower, plant and arthropod data were collected along a 150 m² transect in 41 Dutch grasslands, ranging from low to high land-use intensity levels. Flower richness showed consistent linear relations with plant and arthropod species richness, and resembled both the seasonal increase of arthropod richness and the exponential declines of plant and arthropod richness with increasing land-use intensity. By contrast, flower cover was strongly driven by a few dominant flowering species, decreased over the sampling period and showed more variable relations with plant and arthropod richness. Flower richness qualifies as a broadly representative biodiversity indicator in grasslands that can efficiently be surveyed at site level, and is directly relatable to local land use practices. Flower richness measurements can therefore complement inventories of species composition and steer biodiversity restoration efforts such as result-based agri-environmental schemes on farmland, in which there is increasing emphasis on improving habitat quality.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114898"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798953","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":"A reference-based ecosystem health indicator framework to disentangle population impacts under multi-factor environmental change","authors":"Yang Chen ,&nbsp;Chenyu Yu ,&nbsp;Zuolin Xiao","doi":"10.1016/j.ecolind.2026.114892","DOIUrl":"10.1016/j.ecolind.2026.114892","url":null,"abstract":"<div><div>Ecosystem health provides an integrative measure of ecological change under increasing human pressure, yet quantitatively characterizing the role of population dynamics remains challenging at fine spatial scales. This study investigates spatiotemporal variations in ecosystem health and their association with population change at the township level in Chongqing, China, over the period 2000–2023. Ecosystem health was assessed using multi-source remote sensing data and census statistics within a Pressure–State–Response (PSR) framework, and township population dynamics were analyzed using spatial statistical and regression approaches. Results indicate that the ecosystem health index (EHI) exhibited a pronounced U-shaped trajectory over the past 24 years, shifting from degradation to gradual restoration. Spatially, ecosystem health levels were consistently higher in northeastern and southeastern Chongqing than in western regions. Township populations displayed a polycentric spatial pattern, with strong concentration in the main urban area and its surrounding townships. Population pressure was predominantly associated with ecosystem health degradation. Notably, although approximately 58% of townships remained below their ecological population carrying capacity, population dynamics in these areas were still linked to measurable declines in ecosystem health. After isolating background environmental influences using long-term sub-capacity townships as reference areas, a significant and stable negative relationship was identified between population change and ecosystem health across two independent periods. These results provide robust empirical evidence that population redistribution and concentration exert sustained negative effects on ecosystem health at the township scale, even in the absence of population overshoot, highlighting the sensitivity of fragile mountainous ecosystems to demographic change under rapid urbanization.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114892"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798954","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":"How submerged aquatic vegetation affects the hydrological connectivity in wetlands: A modeling study of the largest wetland in North China","authors":"Bowen Sun ,&nbsp;Haoqing Wang ,&nbsp;Na Li ,&nbsp;Wei Chen","doi":"10.1016/j.ecolind.2026.114890","DOIUrl":"10.1016/j.ecolind.2026.114890","url":null,"abstract":"<div><div>Wetlands, as one of the most critical natural ecosystems, face increasingly prominent threats of degradation, with the continuous decline of hydrological connectivity being considered a key cause. However, the impact of submerged aquatic vegetation (SAV) on wetland hydrological connectivity has long been overlooked. This study constructs the EFDC hydrodynamic model that takes into account the spatiotemporal changes of SAV and analyzes the evolution of hydrological connectivity in the Baiyangdian Wetland, the largest wetland in North China. The results show that under the growth conditions of SAV, the hydrological connectivity of wetlands exhibits seasonal variation characteristics. The connectivity-domain area, accounting for the effects of SAV density and plant height, decreased on average by 3.5%, 39.2%, and 25.1% across the different growth stages, which are more pronounced in areas with dense vegetation distribution. The water-impeding effect of SAV is the main reason for the decrease in hydrological connectivity, especially during the peak growth period when the impact of SAV on flow velocity exceeds the influence of water depth changes by 14 times. The spatiotemporal differences in SAV distribution density and plant height are the main drivers of the spatiotemporal heterogeneity of hydrological connectivity. In addition, SAV may reduce the flood conveyance capacity of wetlands, leading to increased flood risk. We suggest that remote sensing technology should be combined to determine the spatial distribution of wetland plants, and artificial intervention should be made during the peak growth period to control its growth at key nodes to improve the hydrological connectivity of wetlands. This study enriches the theoretical framework of wetland hydrological connectivity research and provides a scientific basis for wetland SAV management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114890"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798958","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":"Multiscale synergistic evolution of China's water-land-energy-food-carbon system: Static-dynamic coupling analysis across sectoral, regional, and national levels","authors":"Yunxing Wu ,&nbsp;Youzhu Zhao ,&nbsp;Delong Liu ,&nbsp;Qiuxiang Jiang ,&nbsp;Zilong Wang","doi":"10.1016/j.ecolind.2026.114895","DOIUrl":"10.1016/j.ecolind.2026.114895","url":null,"abstract":"<div><div>Against the background of increasingly stringent resource and environmental constraints, the coupling among water, land, energy, food, and carbon emissions has continued to intensify, and the multi-element system has become highly complex. Existing studies rarely examine coupling mechanisms from a sectoral perspective and lack a dynamic characterization of system co-evolution, which limits the identification of potential synergies and structural trade-offs within the nexus. To address these gaps, this study proposes a multi-scale analytical framework at sectoral, regional, and national levels for the Water-Land-Energy-Food-Carbon (<em>W-L-E-F-C</em>) system. By integrating the coupling coordination degree and dynamic synergy degree, the framework evaluates synergy and trade-off relationships among the five subsystems and the overall <em>W-L-E-F-C</em> system from both static structural and dynamic evolutionary perspectives, thus addressing the shortcomings of existing research in terms of sectoral heterogeneity and system evolution mechanisms. The results showed that: (1) China's <em>W-L-E-F-C</em> system exhibited a moderately high level of coupling coordination. At the sectoral level, industrial sectors showed generally strong internal coupling coordination, whereas coupling between services sectors and some industrial sectors was weak, indicating pronounced sectoral heterogeneity. (2) Dynamic synergy degree analysis identified the land, energy, and carbon subsystems as key contributors to system Non synergy. (3) The static-dynamic coupling analysis revealed that parts of Southwest China and Central China maintained high static coordination, while Northwest China and North China displayed insufficient dynamic synergy, presenting an overall state of Static synergy-Dynamic trade-off. These findings provide a scientific basis for identifying weak links in sectoral and regional coordination in China and for optimizing resource allocation.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114895"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147799022","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":"Acoustic indexes as predictors of bird richness: Insights from atlantic forest fragments","authors":"Tarcísio Linhares Löw ,&nbsp;Renato Hajenius Ache de Freitas ,&nbsp;Guilherme Renzo Rocha Brito ,&nbsp;Andrei Langeloh Roos ,&nbsp;Luis Carlos-Pinto","doi":"10.1016/j.ecolind.2026.114848","DOIUrl":"10.1016/j.ecolind.2026.114848","url":null,"abstract":"<div><div>Bird communities present in remaining fragments of the Atlantic Forest suffer several impacts. Fragments bordering roads suffer from anthropophonies caused by vehicle traffic, affecting their acoustic communication, behaviour and even changing community structure. In this study, we tested the effect of different types of Atlantic Forest fragments on soundscapes and bird community. The sampled points had different degrees of urbanization, categorized in three Zones (Urban close to roads; Rural close to roads; Protected Areas far from roads). 810 min of audio recordings were analysed at 9 different points, using 6 Acoustic Indexes (AIs) to compare the soundscapes. Bird richness was quantified from the identification of calls using pattern matching mechanisms together with manual validations for each minute. The 6 AIs indicated significant differences between the soundscapes of different Zones. A total of 77 species were identified (Urban <em>n</em> = 25; Rural <em>n</em> = 50; UC <em>n</em> = 41). Despite having the lowest number of species, the Urban Zone had the highest richness per minute sampled. We found correlations between AI and bird richness, but it was controversial when compared to previous research, indicating that correlation could be stochastic. AI can help us monitor changes in the environment at low costs, but it is difficult to predict richness or diversity directly using them. We suggest using Autonomous Recording Units and AI to constantly monitor vulnerable forest fragments. Changes in AI patterns can help determine when and where we should invest and use more direct methods for evaluating richness and diversity.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114848"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147798957","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":"Retraction notice to “Impact of rapid urban construction land expansion on spatial inequalities of ecosystem health in China: Evidence from national, economic regional, and urban agglomeration perspectives” [Ecol. Indic. 172 (2025) 113196]","authors":"Lei Qi ,&nbsp;Hina Najam ,&nbsp;Yessengali Oskenbayev ,&nbsp;Sansyzbaev Alisher ,&nbsp;Kamla Hairis","doi":"10.1016/j.ecolind.2026.114873","DOIUrl":"10.1016/j.ecolind.2026.114873","url":null,"abstract":"","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"186 ","pages":"Article 114873"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951854","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}