Journal of Flood Risk Management最新文献

{"title":"Operational Reliability of Emergency Measures, a Case Study for the BresDefender","authors":"D. Janssen,&nbsp;S. N. Jonkman,&nbsp;A. J. M. Schmets,&nbsp;B. Hofland,&nbsp;E. Dado","doi":"10.1111/jfr3.70044","DOIUrl":"https://doi.org/10.1111/jfr3.70044","url":null,"abstract":"<p>During extreme high-water events in river systems, the load on a levee section may exceed its resistance, initiating the breaching process which eventually leads to levee failure. The success of an emergency measure to intervene in the initial phases of levee failure is mainly dependent on its timely application. Quick action is required to prepare and deploy an emergency measure before damages to the levee section have become irreparable. In this study, we investigate the key parameters for successful application of an emergency measure, focusing on the BresDefender case study. The BresDefender is a floating pontoon used by the Dutch military, which is intended to avoid or postpone levee failure. A model has been developed taking the operational steps in the implementation of the emergency measure during a high water and the (uncertainty) in the duration of these processes into account. The model is used to quantify the probability of successful operation to prevent levee failure due to overflow or slope instability. The probability of successful application of the BresDefender has been simulated for river flood situations in the Netherlands. For the river Rhine, where the examined cases were prone to slope instabilities, the probability of arriving in time was found to be 70%. But for the Meuse case, where the examined cases were prone to overflow, the probability of arriving in time was found to be only 0%. The critical steps in the process after the occurrence of damage to the levee are damage detection, the decision to repair the damage, the transport of the emergency measure, and the placement of the measure. By incorporating emergency measures in emergency preparedness procedures, the time required for the critical steps will be decreased and the probability of successful application of the emergency measure, i.e., its contribution to flood risk reduction, will be enhanced.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models","authors":"Baljeet Kaur,&nbsp;Andrew Binns,&nbsp;Edward McBean,&nbsp;Dan Sandink,&nbsp;Karen Castro,&nbsp;Bahram Gharabaghi","doi":"10.1111/jfr3.70051","DOIUrl":"https://doi.org/10.1111/jfr3.70051","url":null,"abstract":"<p>Floods are one of the most devastating natural hazards, causing adverse effects on human life, well-being, property, and the environment. The application of five machine-learning techniques in pluvial flood susceptibility mapping was investigated using the case study of two severe storms (2005 and 2013) in Toronto, Canada. Sixteen flood conditioning factors, including elevation, slope, topographic wetness index, stream power index, amount of permeable and impermeable surfaces, and more, were used to evaluate their importance in terms of flooding impacts for the 2005 and 2013 severe storms. Extreme gradient boosting (XGBoost) and an ensemble method are identified as the best models for the tracks of severe storms in 2005 and 2013. The AUROC (Area under the Receiver's Operating Characteristic Curve) analysis shows that precipitation was the most critical variable, followed by groundwater level and distance from sewers, during the two major storm events investigated. However, the flood susceptibility maps are specific and depend on the storm track and intensity-duration characteristics for each significant storm event. Depending on the seasonal groundwater levels and the storm sewer drainage capacity of an area, the system may be overwhelmed, and houses may be flooded if the rainfall intensity and duration exceeds the urban stormwater drainage system capacity. This research provides a foundational understanding of the factors influencing urban flood risk and the statistical models that result from pluvial rainfall events. However, there is a need for more research on rainfall events with different tracks, intensities, and durations to provide reliable ensemble flood susceptibility mapping that could be used to calculate the flood risk for a given area.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Integrated Modeling Driven Evaluation of Opportunities for Climate-Resilient Perennial Biomass Crop Plantings in Flood-Prone Agricultural Landscapes","authors":"Ganesh R. Ghimire,&nbsp;Yan Liu,&nbsp;Esther Parish,&nbsp;Sudershan Gangrade,&nbsp;Shih-Chieh Kao,&nbsp;Christopher DeRolph,&nbsp;Karen Maguire,&nbsp;Henriette Jager","doi":"10.1111/jfr3.70056","DOIUrl":"https://doi.org/10.1111/jfr3.70056","url":null,"abstract":"<p>Adapting to future climate change in flood-prone landscapes will require climate-resilient agricultural systems. Planting perennial crops, like switchgrass and willow, along river corridors can mitigate future flooding while supporting bioenergy markets. We developed an integrated assessment linking climate, hydrologic, and inundation model results to assess future flood risk to river-adjacent agricultural lands in the Mid-Atlantic Region (MAR) and explore this opportunity. We produced ensemble streamflow projections for every MAR stream using a hydrologic model driven by a suite of downscaled and bias-corrected Coupled Model Intercomparison Project Phase 6 climate projections. We then conducted high-resolution inundation mapping based on projected flood frequencies for baseline and future periods. Results show that in the near-term future, at least two-thirds of the streams will experience 100-year floods more severe than the baseline 200-year floods. Riparian zones are projected to face a median rise of inundation by 9.5%–24.1%. Results show that there is an opportunity to mitigate flooding in over half of MAR's counties with the quantities of switchgrass and willow plantings anticipated for mature bioenergy markets, even under the most extreme (200-year) flood events. Our integrated modeling framework can guide similar regions to evaluate opportunities for flood-resilient agricultural systems under climate change.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Realizing Recognition Justice in Flood Risk Management Policy: A Case Study on Implementation Gaps and Legitimacy Gaps in Austria","authors":"Thomas Thaler,&nbsp;Sebastian Seebauer","doi":"10.1111/jfr3.70052","DOIUrl":"https://doi.org/10.1111/jfr3.70052","url":null,"abstract":"<p>Flood risk is often unequally distributed. These inequalities highly depend on socio-political decisions. The recognition of the needs of individuals within a floodplain needs to be considered as a precondition for reaching justice in flood risk management, especially as people differ in their vulnerabilities and capacities to deal with floods. This paper addresses the question of how vulnerable population groups are recognized in flood risk management used in the federal state of Upper Austria. We use a qualitative research method, which is based on policy, legal documents and strategies and on 32 semi-structured interviews conducted at different levels. Even though clearly stating the overall policy goal of reducing social vulnerability and inequality, most risk reduction strategies neglect these aspects, which creates an implementation gap regarding recognition justice. Strict adherence to the principle of equality leads to, among others, uniform design levels and cost contributions that undermine the notion of differentiated vulnerability. By contrast, disaster aid payments do use eligibility criteria that recognize social inequalities. However, even if justice principles are implemented, they lack transparency and accountability, which creates a legitimacy gap. Restricting the role of civil servants in the public administration through hybrid governance may narrow implementation and legitimacy gaps.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France","authors":"Juliette Godet,&nbsp;Olivier Payrastre,&nbsp;Qifan Ding,&nbsp;Julie Demargne,&nbsp;Eric Gaume,&nbsp;Pierre Nicolle,&nbsp;Anne Belleudy,&nbsp;Pierre Javelle","doi":"10.1111/jfr3.70053","DOIUrl":"https://doi.org/10.1111/jfr3.70053","url":null,"abstract":"<p>Due to climate change and rapid urbanisation, flash floods are becoming increasingly threatening, making real-time flash flood monitoring and early warning systems a crucial adaptation measure. In France, the Vigicrues Flash system, operational since 2017, uses a simplified rainfall-runoff model to issue short-range flood warnings for small-to-medium ungauged basins, covering about 10,000 municipalities. Seven years on, we assess its performance on a large spatio-temporal scale, using a multi-indicator approach. First, hydrological validation is conducted using discharge data from gauging stations and post-event campaigns, applying a contingency-based approach with flood thresholds from 2- to 1000-year return periods. Results show promising flood detection rates (mean CSI: 40%–70%) and indicate that expanding the system's coverage is feasible without reducing performance. Next, we evaluate its capacity to detect damaging events using the French CatNat database of natural disaster decrees. Finally, we document a survey of system users to capture their perception of its effectiveness and operational value. However, the high number of false alarms in the impact-based assessment highlights the urgent need for impact-oriented forecasts and warnings.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Using Storage Ponds in Natural Flood Management Schemes in Practice: The Need for Fine-Tuning and Upscaling","authors":"Leo Peskett,&nbsp;Sarah Collins,&nbsp;Andrew Black,&nbsp;Matthew Arran,&nbsp;Alan MacDonald,&nbsp;Andy Young","doi":"10.1111/jfr3.70059","DOIUrl":"https://doi.org/10.1111/jfr3.70059","url":null,"abstract":"<p>There is increasing interest in installing water storage ponds as part of natural flood management (NFM) approaches being implemented globally. Despite decades of experience with constructing flood storage ponds within civil engineering disciplines, there remains little empirical evidence of their effectiveness in NFM. In NFM, ‘natural’ ponds use green infrastructure, are often smaller but more numerous, and are built and maintained by land managers rather than engineers. Here we investigate six flood storage ponds in the 69 km² Eddleston NFM pilot catchment in Scotland, UK, analysing impact on peak stream flows at different scales and pond designs. The ponds generally reduce peak stream flows where they have large available capacity, catchments are small (&lt; 1 km²), and events are low magnitude (&gt; 20% Annual Exceedance Probability (AEP)). No discernible flow reduction was observed at the largest pond and catchment (64 km²) for the largest (~21% AEP) event. There was significant variability between ponds, and gains can be made in engineering pond inlet/outlet structures, maintenance, and more widespread installation. The findings suggest that natural storage ponds have most potential to contribute to flood control in small catchments (&lt; 10 km²) and small flood events (&gt; 25% AEP), when they are carefully designed and maintained, and sufficient in number.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Assessing the Role of Hydrodynamics in Enhancing Height-Above-the-Nearest-Drainage Derived Synthetic Rating Curves: A Comparative Study in the Wu River Basin, Taiwan","authors":"Cheng-Wei Yu,&nbsp;Wun-Jhen Yang,&nbsp;Dongyu Feng","doi":"10.1111/jfr3.70057","DOIUrl":"https://doi.org/10.1111/jfr3.70057","url":null,"abstract":"<p>The conventional approach to generating synthetic rating curves (SRC) using the Height-Above-the-Nearest-Drainage (HAND) method typically relies on the assumption of uniform flow, such as Manning's equation, to establish stage-discharge ratings. The zero-physics application of the uniform flow equation is insufficient for capturing detailed hydraulic features (e.g., backwater effect) and neglects the hydraulic effects from adjacent channels. This lack of hydrodynamic computation can impact the accuracy and effectiveness of riverine flood risk estimation and management. To reduce this foreseeable error, we introduce the HAND-hd workflow, which integrates sophisticated hydrodynamic computations in the production of HAND-based SRC with hydrodynamic features (SRC_hd). The results indicate that SRC_hd demonstrates consistent agreement with both gauge observations and benchmark solutions. Additionally, the comparative analysis suggests that SRC_hd provides notable improvements in stage-discharge ratings over conventional HAND-based SRCs, particularly in channels with mild bed gradients, where it reduces water stage prediction errors and percent biases. In steeper channel segments, SRC_hd maintains comparable accuracy to conventional methods. The comprehensive evaluation in this study emphasizes the potential discrepancies and inaccuracies associated with the adoption of the uniform flow assumption in the conventional HAND-SRCs and addresses the necessity of including hydrodynamic physics in the application of HAND-based SRC (e.g., inundation map) in channels with mild gradients.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Analysis of the Utilization of Machine Learning to Map Flood Susceptibility","authors":"Ali Pourzangbar,&nbsp;Peter Oberle,&nbsp;Andreas Kron,&nbsp;Mário J. Franca","doi":"10.1111/jfr3.70042","DOIUrl":"https://doi.org/10.1111/jfr3.70042","url":null,"abstract":"<p>This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial-and-error approaches, this work aims at establishing a clear roadmap for the deployment of ML-based FSM frameworks. The critical aspects of ML-based FSM are identified, including data considerations, the model's development procedure, and employed algorithms. A comparative analysis of different ML models, alongside their practical applications, is made. Findings suggest that despite existing limitations, ML methods, when carefully designed and implemented, can be successfully utilized to determine areas at risk of flooding. We show that the effectiveness of ML-based FSM models is significantly influenced by data preprocessing, feature engineering, and the development of the model using the most impactful parameters, as well as the selection of the appropriate model type and configuration. Additionally, we introduce a structured roadmap for ML-based FSM, identification of overlooked conditioning factors, comparative model analysis, and integration of practical considerations, all aimed at enhancing modeling quality and effectiveness. This comprehensive analysis thereby serves as a critical resource for professionals in the field of FSM.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Towards Equity? Advancing Rural Consideration in Flood Risk Management","authors":"Daniel W. A. Jones,&nbsp;Fiona Williams,&nbsp;Namrata Bhattacharya Mis,&nbsp;Philip M. Marren","doi":"10.1111/jfr3.70055","DOIUrl":"https://doi.org/10.1111/jfr3.70055","url":null,"abstract":"<p>Flood risk management (FRM) in England and Wales predominantly follows a utilitarian approach guided by cost–benefit analysis, with a corresponding focus on urban areas. This approach has been criticised for being unjust, as it neglects vulnerabilities that cannot be readily monetised, resulting in some of the most vulnerable flood-affected communities being excluded from FRM provision. This issue is especially pronounced in rural areas. Ironically, rural communities are often overlooked despite many contributing to the protection of urban settlements. In response to increasing research on social injustices in FRM and policy calls for more equitable approaches, greater consideration of rural flooding is required. Using the River Severn catchment as a case study, this paper employs a questionnaire survey of 176 rural residents to gather perspectives on their engagement with FRM agencies. Their responses were then discussed with FRM organisations active in the region through interviews. The combined perspectives of rural communities and FRM organisations reveal challenges and opportunities for achieving just consideration of rural areas in FRM. The findings emphasise the need for a more inclusive approach to FRM in the River Severn catchment and offer valuable lessons for other rural areas in the United Kingdom and beyond.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Editorial: Special Issue From the Ninth International Conference on Flood Management","authors":"Slobodan P. Simonovic","doi":"10.1111/jfr3.70060","DOIUrl":"https://doi.org/10.1111/jfr3.70060","url":null,"abstract":"&lt;p&gt;The Ninth International Conference on Flood Management (ICFM9 https://www.icfm.world/ICFM-Conferences/ICFM9) was held in Tsukuba, Japan, from February 18 to 22, 2023, under the theme “River Basin Disaster Resilience and Sustainability by All – Integrated Flood Management in the Post-COVID-19 Era.” The increasing frequency and severity of torrential rainfall due to global climate change have led to greater human losses and economic damage. The number of people vulnerable to devastating floods continues to rise due to large-scale urbanization, population migrations to and growth in flood-prone areas, deforestation, climate change, and rising sea levels. During the COVID-19 pandemic, immediate attention was often focused on preventing further virus transmission; however, the threat of floods remains as urgent as ever. The primary objective of ICFM9 was to draw lessons from past experiences and enhance the resilience of societies to flooding.&lt;/p&gt;&lt;p&gt;Since the adoption of &lt;i&gt;The Sendai Framework for Disaster Risk Reduction (DRR) 2015–2030&lt;/i&gt; at the Third United Nations World Conference on DRR in March 2015, the international community has also agreed on &lt;i&gt;Transforming Our World: The 2030 Agenda for Sustainable Development&lt;/i&gt; in September 2015 and &lt;i&gt;The Paris Agreement on Climate Change&lt;/i&gt; in December 2015. To support and implement these agreements, strong, coordinated, and strategic actions are necessary to enhance climate and disaster resilience and sustainability. ICFM9 was designed to contribute to a deeper understanding of the challenges posed by our changing world and to explore solutions that will strengthen resilience against flood-related disasters.&lt;/p&gt;&lt;p&gt;Flood disaster resilience and sustainable development are fundamentally and structurally interconnected. Addressing these challenges requires a comprehensive approach that transcends disciplinary boundaries, promotes holistic and integrated strategies, and ensures effective planning, implementation, and evaluation. With this in mind, ICFM9 facilitated in-depth discussions on a wide range of issues from scientific, technological, social, and economic perspectives.&lt;/p&gt;&lt;p&gt;The conference emphasized the necessity of adopting a comprehensive and forward-thinking approach to flood risk reduction, resilience building, and adaptive management. Its key messages reflected a growing recognition of the importance of integrated, inclusive, and science-driven strategies for managing flood risks in an era of increasing uncertainty. The ICFM9 highlighted the urgency of adopting holistic, data-driven, and socially inclusive approaches to flood management. Strengthening the link between science and decision-making, promoting open data sharing, enhancing flood modeling, integrating knowledge across disciplines, fostering skilled professionals, and prioritizing social equity will collectively shape a more resilient future in the face of escalating flood risks.&lt;/p&gt;&lt;p&gt;One of the central themes highlighted at","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}