Ecological Modelling最新文献

{"title":"Warming air temperatures alter the timing and magnitude of reservoir zooplankton biomass","authors":"Heather L. Wander ,&nbsp;Mary E. Lofton ,&nbsp;Jonathan P. Doubek ,&nbsp;Dexter W. Howard ,&nbsp;Matthew R. Hipsey ,&nbsp;R. Quinn Thomas ,&nbsp;Cayelan C. Carey","doi":"10.1016/j.ecolmodel.2025.111272","DOIUrl":"10.1016/j.ecolmodel.2025.111272","url":null,"abstract":"<div><div>Warming air temperatures are altering many physical, chemical, and biological processes in freshwater ecosystems. Process-based ecosystem models are important tools for predicting potential future changes to water quality due to warming by simulating complex ecological interactions. However, while previous studies have modeled climate-driven impacts on water quality (e.g., water temperature, dissolved oxygen, phytoplankton), few have included zooplankton, despite their critical role in freshwater ecosystems. Zooplankton functional groups can exhibit variable responses to warming temperatures, but the implications of these responses on freshwater ecosystems are not well understood. To understand the effects of warming on reservoir zooplankton and water quality, we configured and calibrated a process-based freshwater ecosystem model simulating three zooplankton functional groups and then applied multiple air temperature scenarios to explore ecosystem responses. We found that warming air temperature increased modeled rotifer biomass and decreased modeled cladoceran and copepod biomass. While the timing of annual rotifer peak biomass was not altered by warming air temperatures, annual copepod biomass peaks were delayed by 54–100 days within a year across warming scenarios. The timing of cladoceran biomass peaks was more variable in response to warming. Changes to the timing and magnitude of modeled zooplankton biomass were likely driven by changes in nutrients and phytoplankton, as we observed a trophic mismatch between phytoplankton and zooplankton biomass. These results highlight the importance of including zooplankton functional groups in process-based models when exploring the future effects of climate change on freshwater ecosystems, as changes in zooplankton communities can directly and indirectly alter ecosystem dynamics.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111272"},"PeriodicalIF":3.2,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Howard T. Odum’s contributions to evolutionary theory","authors":"Thomas Abel","doi":"10.1016/j.ecolmodel.2025.111263","DOIUrl":"10.1016/j.ecolmodel.2025.111263","url":null,"abstract":"<div><div>The famed systems ecologist Howard T. Odum rarely engaged directly with the activities of evolutionists or the advancement of evolutionary theory. The field of evolution does not claim Odum among their own, and he did not direct his scholarship to the topic or journals of evolution. But he undoubtedly saw his theorizing of system self-organizing as encompassing of evolutionary theory. To draw out that relationship, this paper will assemble a historical recounting of Odum’s writings that pertained to evolutionary theory. It will be documentary research of his prolific output of publications over 50 years with the aim of distilling the core of Odum’s thinking about evolution. For the systems ecologist Odum, self-organization is the evolutionary process of all systems in which <em>designs develop and prevail that maximize power intake, energy transformation, and those uses that reinforce production and efficiency</em>. This process Odum labels ‘maximum power’ and is the instrument of natural selection in systems. There is selection for maximum power in systems without life, in the origin of life, and in systems with life. The maximization of power is not human focused, it is not intentional, it is not a theory of group selection, and it may be continuous or particulate. Both natural selection and ecological succession are kinds of ‘system learning’, with different scales of time and space. System designs naturally form ‘hierarchy’, which contributes to maximum power by expanding system inputs in space and length. These topics are all addressed in the paper. Odum never felt constrained by academic disciplinary boundaries. He conceived of science as an integrated whole, with his writings intended for all the disciplines, including the evolutionists. While they may not have recognized his ideas, they need them.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111263"},"PeriodicalIF":3.2,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Environmental driven changes in tick life history can explain the variation in CCHFV prevalence in the Iberian Peninsula","authors":"Xander O’Neill ,&nbsp;Andy White ,&nbsp;Christian Gortázar ,&nbsp;Francisco Ruiz-Fons","doi":"10.1016/j.ecolmodel.2025.111267","DOIUrl":"10.1016/j.ecolmodel.2025.111267","url":null,"abstract":"<div><div>Crimean-Congo haemorrhagic fever virus (CCHFV) is an emerging tick-borne zoonotic disease with a wide geographical distribution and high case mortality in humans. The emerging nature of the pathogen means there is limited understanding of the epidemiological drivers of infection prevalence and regional variation in the risk of pathogen spillover. In this study we develop a mathematical model of CCHFV transmission between ticks and their different hosts to understand how changes in tick birth and tick survival will interact with host density and host composition to determine the incidence of infection in ticks and their varied hosts. A key result shows that CCHFV antibody prevalence in ungulate hosts is sensitive to variation in tick demographic parameters where a 50% variation in tick birth or death rates can lead to ranges of <span><math><mrow><mn>0</mn><mtext>–</mtext><mn>90</mn><mtext>%</mtext></mrow></math></span> seroprevalence in ungulates. Therefore, environmentally derived changes in tick life history parameters could explain the variation in CCHFV transmission to ungulates observed in the Iberian Peninsula. The model indicates that CCHFV transmission is sensitive to changes in the level of vertical or co-feeding transmission and calls for further studies to determine the importance of these transmission routes. We find that the risk of pathogen spillover to human populations due to an increased density of infected questing ticks is greatest in regions where ungulate seroprevalence is high. Therefore, monitoring wildlife disease status can inform on infection risk to humans and highlights the need for one health policies to manage pathogens that can infect multiple species.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111267"},"PeriodicalIF":3.2,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Integrating multiple data sources with species distribution models to estimate the distribution and abundance of northern bobwhite (Colinus virginianus) in the United States","authors":"William B. Lewis ,&nbsp;Sprih Harsh ,&nbsp;Patrick Freeman ,&nbsp;Victoria Nolan ,&nbsp;Justin Suraci ,&nbsp;Bridgett E. Costanzo ,&nbsp;James A. Martin","doi":"10.1016/j.ecolmodel.2025.111265","DOIUrl":"10.1016/j.ecolmodel.2025.111265","url":null,"abstract":"<div><div>Species distribution models (SDMs) have traditionally focused on occupancy despite abundance potentially being a more useful metric for informing conservation initiatives. Integrating m<em>ultiple species</em> abundance datasets could retain the strengths of each data type and, at least partially, offset their weaknesses, potentially improving the performance of abundance-based SDMs. We developed spatially-non-stationary, abundance-based SDMs to assess the environmental drivers of spatial variation in abundance and to predict the abundance and distribution of northern bobwhite (<em>Colinus virginianus</em>) across the United States. We fitted Bayesian SDMs with regionally-partitioned coefficients by integrating structured North American Breeding Bird Survey (BBS) and semi-structured eBird count data. We found that bobwhite abundance was concentrated in three main regions: southern Texas, the Great/Midwestern Plains, and the southeastern coastal plain. Total abundance across the range was estimated at 8,577,291 (8,292,554 - 8,933,202). While the spatial extent of the predicted bobwhite range was generally similar across models, models fit with single data sources appeared to vastly underestimate (eBird) or overestimate (BBS) abundance, though abundance estimation was improved through data integration. Most covariate effects exhibited non-stationarity across the range, potentially leading to inappropriate inferences or management decisions from a spatially-stationary model. Our study provides an important example of how datasets collected at different spatial scales under different observation protocols can be integrated via SDMs to improve abundance-based modeling and correct for weaknesses of individual datasets. Our modeling framework provides regional estimates of the drivers of bobwhite abundance and range-wide estimates of abundance for guiding both local and range-wide bobwhite conservation.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111265"},"PeriodicalIF":2.6,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Do European models of temperate forest ecological change apply in North America?","authors":"Bingbin Wen ,&nbsp;Dries Landuyt ,&nbsp;Kris Verheyen ,&nbsp;Donald M. Waller ,&nbsp;Haben Blondeel","doi":"10.1016/j.ecolmodel.2025.111269","DOIUrl":"10.1016/j.ecolmodel.2025.111269","url":null,"abstract":"<div><div>The transferability of ecological models, especially those based on machine learning approaches, needs to be thoroughly tested to predict beyond the range of the training data. We tested the cross-continental transferability of three machine learning models of forest understorey dynamics trained on data from one temperate region (central-western Europe) to determine how reliable they are for predicting changes in upland forest sites in southern (n = 83) and northern (n = 74) Wisconsin, USA. We tested trajectories of species richness and the proportions of woody species and forest specialists under the influence of global change (i.e. changes in temperature, precipitation, and nitrogen deposition) and local forest management. Among the three tested models, only one (the model predicting species richness) generated useful predictions. Such low success suggests that distinctly different environmental contexts or the absence of key biotic and/or abiotic predictors likely impeded model performance. Although we cannot recommend applying these models to regions beyond temperate Europe, including more predictor variables, tuning features, and performing spatial cross-validation could improve power and transferability in future models.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111269"},"PeriodicalIF":2.6,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Balancing act: A participatory system dynamics approach for Mar Menor’s sustainable future","authors":"Mahla Rashidian ,&nbsp;Valentina Elena Tartiu ,&nbsp;Isabel Seifert-Dähnn ,&nbsp;Maximilian Nawrath ,&nbsp;Line Johanne Barkved ,&nbsp;Pablo Blanco-Gómez ,&nbsp;Marckbyn S. Rodríguez-Vélez","doi":"10.1016/j.ecolmodel.2025.111268","DOIUrl":"10.1016/j.ecolmodel.2025.111268","url":null,"abstract":"<div><div>The Mar Menor lagoon and coastal area are facing significant environmental degradation; however, the role of socio-economic activities in this crisis has been insufficiently explored. Understanding this connection is crucial for reversing the damage and ensuring sustainable development. Our research employs a participatory system dynamic modeling approach, offering a fresh perspective on the intricate interplay among environmental, social, and economic factors in the Mar Menor catchment. This method not only identifies the shared responsibilities of various economic sectors and governance levels but also highlights the critical misalignment of policies at local, regional, and national levels. By simulating different future scenarios, we demonstrate how economic sectors can collaboratively drive sustainable social-ecological interventions. This approach enables stakeholders to understand the underlying dynamics of environmental degradation and its socio-economic connections, allowing them to anticipate the medium- and long-term consequences of their actions. It can aid in creating integrated, sustainable sectoral strategies and practices. The proposed mixed strategy scenario provides actionable insights for policymakers, enabling them to develop well-aligned policies that effectively mitigate nitrate pollution and promote sustainable socio-economic growth. Moreover, this approach facilitates anticipating long-term unintended consequences, ensuring that interventions are effective. Our findings emphasize the urgent need for coordinated action and provide a clear roadmap toward improving the water quality of the Mar Menor while fostering sustainable socio-economic development in the area. By aligning policies and leveraging shared responsibilities, Mar Menor’s vital ecosystem can be safeguarded, securing a sustainable future for the region.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111268"},"PeriodicalIF":2.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Ecotracer set up to trace microplastics up the Black Sea marine food web","authors":"Natalia Serpetti ,&nbsp;Chiara Piroddi ,&nbsp;William J. Walters ,&nbsp;Elisa Garcia-Gorriz ,&nbsp;Svetla Miladinova ,&nbsp;Diego Macias","doi":"10.1016/j.ecolmodel.2025.111271","DOIUrl":"10.1016/j.ecolmodel.2025.111271","url":null,"abstract":"<div><div>Around 70 % of all litter in the sea is plastic that, rather than decomposing, breaks down into ever-smaller pieces that can be ingested by marine organisms. However, we lack an understanding of consumption risk by marine species. In this study, particles of microplastic (MP) were traced-up the Black Sea food web, through the calibration process of the Ecotracer module against species-specific MP stomach content observations. These observations, were collected through a literature review: records of MP ingestion for over 60,000 individuals across 780 species within fish and invertebrates were gathered. Statistical analysis, performed on these records, revealed that MP uptake was higher in species inhabiting the Indian Ocean, the Caspian and the China seas. The calibration of the MP model, showed that, at steady state, small benthic and pelagic primary consumers showed the highest concentrations of MP per unit of biomass, led by high direct environmental uptake, and potentially as a consequence of MP bioaccumulation. Secondary consumers, at higher trophic levels, revealed higher MP trophic uptake (biomagnification through diet). Differences in Ecotracer set-up and the calibration procedures were discussed across other recent publications addressing plastic pollution in food-webs. The results were interpreted in relation to species ecological behaviors and physiological characteristics. The approach here, presented with the accessible global database on MP in stomach contents, aims to be a reference for setting up and calibrating MP in food webs.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111271"},"PeriodicalIF":2.6,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Operationalizing social-ecological system-based fishery management employing a system dynamics model: Lessons from eel fishery","authors":"Supradianto Nugroho","doi":"10.1016/j.ecolmodel.2025.111276","DOIUrl":"10.1016/j.ecolmodel.2025.111276","url":null,"abstract":"<div><div>The sustainability of tropical eel fisheries is increasingly threatened by overexploitation and environmental degradation. Addressing the complexity, uncertainty, and heterogeneity inherent in their social-ecological systems (SES) is critical for effective management. This study presented a participatory system dynamics (SD) modeling framework to operationalize the SES concept in fishery management through four stages: (1) SD modeling to address the complexity of SES by capturing feedback loops among ecological components, social components, and their interactions; (2) uncertainty analysis to explore variability in model parameters; (3) participatory scenario analysis to incorporate diverse stakeholder perspectives and co-develop feasible interventions; and (4) sustainability assessment to ensure alignment of the proposed scenarios with long-term management goals. The baseline results revealed a rapid shift from resource growth to depletion, influenced by inherent time delays in the eel life cycle. Scenario analyses indicated that reducing fishing efforts promoted stock recovery; however, it might not ensure sustainability. Uncertainty analysis identified the adult eel survival rate as a critical leverage point for stabilizing the population. These findings highlight the need for integrated strategies that combine effort reduction with conservation measures aimed at key life stages, including seasonal closures, size limits, and protected migration routes. The participatory approach enhances stakeholder understanding, promotes dialogue, and builds consensus on sustainable practices, thereby demonstrating the value of co-developed models. This framework not only advances the operationalization of SES-based management in tropical eel fisheries but also serves as a scalable model for addressing the sustainability challenges of natural resources in diverse social-ecological contexts worldwide.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111276"},"PeriodicalIF":2.6,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Research on the uncertainty analysis of the carbon peak and pivotal influencing factors for provincial agriculture in China","authors":"Xiaoyu Zhang ,&nbsp;Bin Liu ,&nbsp;Yue Zhao ,&nbsp;Xin Liu ,&nbsp;Ke Pan ,&nbsp;Yue Zhang","doi":"10.1016/j.ecolmodel.2025.111266","DOIUrl":"10.1016/j.ecolmodel.2025.111266","url":null,"abstract":"<div><div>A scientific assessment of provincial agricultural carbon emissions (ACE) trends is an essential component for achieving China's \"dual carbon\" goals. This study aims to investigate the coordinated relationship between agricultural carbon emissions and economic growth, thereby laying a foundation for China's green socio-economic transformation. First, by employing spatial autocorrelation and the Environmental Kuznets Curve (EKC) theory, we identify the spatial patterns of ACE and classify the development stages of the provinces. Second, by integrating the Tapio decoupling model with Markov chains, we reveal the dynamic evolutionary paths and stability of the agricultural \"carbon economy\" decoupling status. Finally, the Logarithmic Mean Divisia Index (LMDI) decomposition is utilized to quantitatively identify the key driving factors affecting the decoupling process. The results show that China's provincial ACE exhibit significant and persistent spatial agglomeration characteristics. The provinces can be classified into six distinct development stages, with Group AP IV having entered a potential carbon peaking period, whereas some major agricultural production areas still face formidable emission reduction challenges. Provinces widely face a high-probability risk of reverting from a state of strong decoupling to an unfavorable one. Even for provinces with peaking potential, the probability of maintaining strong decoupling is merely 67.6 %, while for major agricultural production areas, the probability of status deterioration is as high as 71.7 %, suggesting that China's agricultural low-carbon transition predominantly follows an extensive dynamic path. Energy Utilization Efficiency (EUE) is the most critical driving force in promoting agricultural carbon decoupling, and across all regional groups, the enhancement of EUE plays a dominant role in emission reduction. This study extends the theoretical understanding of the dynamics of agricultural 'carbon-economy' decoupling, provides a scientific basis for the formulation of regionally differentiated agricultural low-carbon policies.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111266"},"PeriodicalIF":2.6,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Evaluating ecological restoration outcomes in historical mine sites: Landscape connectivity and ecosystem service changes in the Xiang River Basin, China","authors":"Pengfei Zheng ,&nbsp;Shiming Tang ,&nbsp;Jibin Dai ,&nbsp;Chuanwen Guo ,&nbsp;Yuxiao Zhou ,&nbsp;Maosheng Mi ,&nbsp;Haizhu Liu ,&nbsp;Fei Tian","doi":"10.1016/j.ecolmodel.2025.111273","DOIUrl":"10.1016/j.ecolmodel.2025.111273","url":null,"abstract":"<div><div>Ecological restoration in degraded mining areas is essential for improving ecosystem functions and promoting sustainable development in resource-dependent regions. However, integrated assessments of restoration outcomes remain limited, particularly in historically disturbed mine sites. These legacy sites often span large areas and face complex ecological challenges, making it critical to evaluate whether restoration efforts have effectively improved ecological structure and function. This study evaluates restoration outcomes at 756 historical mine sites in the Xiang River Basin from 2000 to 2020, focusing on four key ecosystem services: water yield, water purification, soil retention, and carbon sequestration. The evaluation is based on a systematic framework that incorporates three analytical dimensions: landscape pattern evolution, ecosystem service changes, and spatial coupling with key ecological spaces. Our results showed that landscape fragmentation around 84 % of mine sites was significantly reduced, with patch structures becoming more integrated and regular, particularly in areas with dense mine site distributions. Nevertheless, overall landscape connectivity and system stability remained relatively low. In terms of ecosystem services, 52 % of mine sites has experienced a decline in service capacity, with water yield and water purification services in the middle and lower reaches of the basin showing the most notable deterioration. Encouragingly, restoration efforts at several critical ecological nodes have achieved substantial outcomes, demonstrating the potential of precision-based ecological interventions and offering valuable experience for future regional ecological recovery. This study provides empirical evidence and a practical framework for implementing spatially targeted mine restoration strategies in watershed-scale planning.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"509 ","pages":"Article 111273"},"PeriodicalIF":2.6,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}