Climate Risk Management最新文献

{"title":"The role of climate and urbanization in compound meteorological event exposure in China’s megacities","authors":"Liling Chu ,&nbsp;Chao Xu ,&nbsp;Yanwen Wang ,&nbsp;Chaoqing Huang ,&nbsp;Zhaoliang Zeng ,&nbsp;Yilin Li ,&nbsp;Yiqi Zhou ,&nbsp;Qian Wu ,&nbsp;Pingan Jiang ,&nbsp;Xusheng Gong ,&nbsp;Yujia Hong ,&nbsp;Chao He","doi":"10.1016/j.crm.2025.100722","DOIUrl":"10.1016/j.crm.2025.100722","url":null,"abstract":"<div><div>Compound precipitation and wind speed extremes (CPWE) pose significant threats to the sustainable development of urban areas. This study investigated the spatial evolution characteristics, potential population exposure risk, and multidimensional inequality of CPWE within nine urban agglomerations in China, each containing at least one city with a GDP exceeding one trillion yuan, utilizing spatiotemporal statistics and attribution analysis. The results indicated that the intensity of CPWE in these urban agglomerations decreased from southeast to northwest, and the population exposed to mild, moderate, severe, and extreme levels accounted for 58 %, 28.3 %, 11.4 %, and 2.3 % of the total, respectively. Changes in exposure risk were driven by climate effect (58.29 % ± 12.77 %), followed by population (32.15 % ± 6.20 %) and interaction effect (9.55 % ± 5.14 %). Pearl River Delta (PRD) and Yangtze River Delta (YRD), identified as particularly vulnerable, experienced an increase in CPWE intensity exceeding 0.015 /10a. An increase of approximately 0.62 × 10⁴ people per decade was observed for exposure risk, with over 20 % of the population facing severe or extreme levels, mainly due to the climate effect. CPWE exposure risk was significantly unequal across various dimensions (spatial autocorrelation: Moran’s <em>I</em> = 0.3798, <em>P</em> = 0.001; Gini coefficient: 0.08–0.5). Areas characterized by high-risk and balanced development (e.g., PRD, YRD) exhibited lower inequality, whereas regions featuring low-risk and concentrated development (e.g., GPZ) demonstrated higher inequality. The climate effect was the predominant influence in the low-risk areas as well as most high-risk areas. These findings support the targeted implementation of appropriate climate adaptation policies to promote regional sustainable development.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"49 ","pages":"Article 100722"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307777","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":"Increased risk for damages from the dry-rot fungus Serpula lacrymans on buildings in a changing climate","authors":"Mikael Martinsson ,&nbsp;Itai Danielski","doi":"10.1016/j.crm.2025.100695","DOIUrl":"10.1016/j.crm.2025.100695","url":null,"abstract":"<div><div>Weather-based damages in housing insurance correspond to 23 % of all insurance claims in Sweden and include damages from fungi. Some fungi could cause health risks to the tenants, while others can cause rapid structural failure for the building itself, like the dry-rot fungus <em>Serpula lacrymans</em>.</div><div>The study aims to analyse a possible connection between the increased rate of insurance claims related to <em>S. lacrymans</em> fungi and climate change. This study uses historical data of 2446 damaged properties from insurance companies and current and future climate data. In addition, eight geographical areas within Sweden with 567 damaged properties were analysed in relation to changes in outdoor temperature over a decade. Finally, a full onsite inspection of 20 infected properties by <em>S. lacrymans</em> fungi was conducted to evaluate common conditions for fungi infections.</div><div>The results of this study showed that the <em>S. lacrymans</em> fungus is expected to spread to the northern parts of Sweden even in areas where it could not exist before, while the rate of infected buildings in the southern part of Sweden might decline but not drop to zero. Wooden buildings older constructed before 1980 with chimneys and self-ventilation are at higher risk of infection. Economic implications are significant, with high repair costs rendering some buildings economically unviable, particularly in rural areas. Insurance reimbursement is typically limited to market value loss, indicating location, design, and maintenance status as crucial factors. The results may raise a concern for insurance companies and property owners, especially related to locations in the sparse parts of North of Sweden.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"47 ","pages":"Article 100695"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"The role of local knowledge in enhancing climate change risk assessments in rural Northern Ireland","authors":"Alan T. Kennedy-Asser ,&nbsp;Oliver D. Andrews ,&nbsp;Jill Montgomery ,&nbsp;Katie L. Jenkins ,&nbsp;Ben A.H. Smith ,&nbsp;Elizabeth Lewis ,&nbsp;Stephen J. Birkinshaw ,&nbsp;Helen He ,&nbsp;Richard F. Pywell ,&nbsp;Matt J. Brown ,&nbsp;John W. Redhead ,&nbsp;Rachel Warren ,&nbsp;Craig Robson ,&nbsp;Adam J.P. Smith ,&nbsp;Robert J. Nicholls ,&nbsp;Donal Mullan ,&nbsp;Ryan McGuire","doi":"10.1016/j.crm.2025.100702","DOIUrl":"10.1016/j.crm.2025.100702","url":null,"abstract":"<div><div>Climate risk modelling provides valuable quantitative data on potential risks at different spatiotemporal scales, but it is essential that these models are evaluated appropriately. In some cases, it may be useful to merge quantitative datasets with qualitative data and local knowledge, to better inform and evaluate climate risk assessments. This interdisciplinary study maps climatic risks relating to health and agriculture that are facing rural Northern Ireland. A large range of quantitative national climate risk modelling results from the OpenCLIM project are scrutinised using local qualitative insights identified during workshops and interviews with farmers and rural care providers. In some cases, the qualitative local knowledge supported the quantitative modelling results, such as (1) highlighting that heat risk can be an issue for health in rural areas as well as urban centres, and (2) precipitation is changing, with increased variability posing challenges to agriculture. In other cases, the local knowledge challenged the national quantitative results. For example, models suggested that (1) potential heat stress impacts will be low, and (2) grass growing conditions will be more favourable, with higher yields as a result of future climatic conditions. In both cases, local knowledge challenged these conclusions, with discomfort and workplace heat stress reported by care staff and recent experience of variable weather having significant impacts on grass growth on farms across the country. Hence, merging even a small amount of qualitative local knowledge with quantitative national modelling projects results in a more holistic understanding of the local climate risk.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"48 ","pages":"Article 100702"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Migration due to floodplain buyouts mimics general post-disaster migration patterns","authors":"Nora Louise Schwaller ,&nbsp;Todd K. BenDor ,&nbsp;Alex Greer ,&nbsp;Philip R. Berke","doi":"10.1016/j.crm.2025.100715","DOIUrl":"10.1016/j.crm.2025.100715","url":null,"abstract":"<div><div>Property buyout programs, widely utilized by the US government to mitigate flood vulnerability, pose uncertain social and economic impacts. Prior studies have analyzed the outcomes of buyout participants alone or in comparison with non-movers. We propose a refined approach to better isolate the impacts of participation in buyout program by comparing participants to non-participants that also relocated in the wake of the storm event. Our study compares 267 buyout program participants and 948 non-buyout movers in Harris County, Texas, after Hurricane Harvey. We find that buyout participants tended to move to similar areas as non-buyout movers. This finding suggests that the HMGP program is as successful as the private market at providing options for relocation post-disaster while achieving additional mitigation benefits for the city at large. Our findings suggest a role for increasing benefits of the buyout programs as a means of decreasing program attrition.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"48 ","pages":"Article 100715"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928665","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":"Roots of resilience: Revealing social networks for enhancing social resilience in Indigenous Indonesian and Philippine ricescapes","authors":"Laurence L. Delina ,&nbsp;Sanny D. Afable ,&nbsp;Ivee Fuerzas ,&nbsp;Kim-Pong Tam ,&nbsp;Wiwik Dharmiasih ,&nbsp;Albert Salamanca","doi":"10.1016/j.crm.2025.100711","DOIUrl":"10.1016/j.crm.2025.100711","url":null,"abstract":"<div><div>A complex interplay of social, economic, political, and agricultural factors influences the resilience of Indigenous rice farming communities. This study specifically focuses on the social dimension, examining the crucial role that affective relationships play in fostering social networks that enhance the resilience of Indigenous farmers within the ricescapes of Indonesia and the Philippines. Employing thematic analysis of expert interviews and focus group discussions, complemented by Latent Class Analysis of survey data, we identify the social networks upon which farmers depend. This mixed methods approach enables us to uncover distinct subgroups within these networks that provide support for managing various challenges, assisting with farm tasks, offering financial assistance, and sharing agricultural knowledge. By delineating these subgroups, we advocate for the development of targeted policies that address the unique needs of each group. Recognising and understanding the significance of affective relationships in the formation of social networks is essential for strengthening the resilience of Indigenous farmers, empowering them to navigate contemporary challenges while preserving their cultural heritage.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"48 ","pages":"Article 100711"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899526","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":"Impact of current and historical climate shocks on crop diversification in Zambia: Insights from household- and district-level observations","authors":"Junren Wang ,&nbsp;Megan Konar ,&nbsp;Patrese Nicole Anderson ,&nbsp;Protensia Hadunka ,&nbsp;Brian Mulenga","doi":"10.1016/j.crm.2024.100683","DOIUrl":"10.1016/j.crm.2024.100683","url":null,"abstract":"<div><div>Crop diversification is a farming practice for risk management prevalent in smallholder agriculture, offering adaptive benefits against challenges like climate change, price fluctuations, and crop disease. Despite its importance, there is a lack of comprehensive understanding of the relationship of crop diversification and current and historical climate shock. Our study seeks to bridge this gap through statistical analysis of household- and district-level data in Zambia. Specifically, we use the Pooled Fractional Probit (PFP) estimator to develop regression models for crop diversification, analyzing 6625 households for 3 years and 74 districts for 9 years, using Rural Agriculture Living Survey (RALS) and Crop Forecast Survey (CFS) datasets, respectively. Simpson’s Diversity Index (SDI) of crops serves as the dependent variable and is consistently higher at the district level than at the household level, suggesting that aggregation at larger scales may mask localized monoculture vulnerabilities. Our findings reveal that both current and historical climate shocks significantly influence crop diversification decisions at both the household and district levels in Zambia. Heat stress and rainfall deficits during the planting season promote crop diversification, but their effects vary due to the diverse agroecological conditions and crop characteristics in different areas. Historical climate shocks prompt farmers to diversify as a long-term resilience strategy. This study emphasizes the complex, scale-dependent drivers of crop diversification in response to climate shocks, providing valuable insights for policy development in climate-resilient agricultural strategies.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"47 ","pages":"Article 100683"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"What it means to be resilient to heatwaves for vulnerable households in mass tourist destinations?","authors":"Hyerim Yoon,&nbsp;Anna Ribas","doi":"10.1016/j.crm.2025.100688","DOIUrl":"10.1016/j.crm.2025.100688","url":null,"abstract":"<div><div>Despite clear evidence of increasing heatwaves in the Mediterranean region, coastal cities in Spain are often reluctant to recognize these events as significant risks, largely due to the economic benefits a warm climate brings to their tourism industry. This reluctance exists despite the fact that many residents in these cities, particularly those working in tourism, face economic hardship due to the precarious nature of the sector. Our research focuses on Lloret de Mar, Catalonia, to examine the impacts of heatwaves in vulnerable households. We analyze the vulnerability and resilience of these households to extreme heat events and heatwaves by studying lived experiences identifying their coping strategies and the barriers they face. To gather data, we conducted 28 interviews and participatory mapping exercises with users of a food distribution center run by Caritas. Participants frequently reported experiences of extreme discomfort at home, describing symptoms such as exhaustion, suffocation, and excessive sweating, exacerbated by high humidity levels. The study found that participants have limited coping mechanisms, relying mainly on natural ventilation and fans. Some are constrained to staying at home due to economic challenges, with no opportunity to use vacation as a respite. The participatory mapping further revealed that these households are regularly exposed to heat during their daily activities. In the absence of effective municipal or collective adaptation strategies, vulnerable households remain entrapped in increasingly unlivable conditions. Our findings underscore the urgent need for localized adaptation plans that address the specific needs of the community, especially given the current municipal policies that are heavily focused on sustaining the tourism industry.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"47 ","pages":"Article 100688"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 vulnerability and climate risk to agriculture for developing resilient farming strategies in the Ganges Delta","authors":"Uttam Kumar Mandal ,&nbsp;Fazlul Karim ,&nbsp;Yingying Yu ,&nbsp;Amit Ghosh ,&nbsp;Taslima Zahan ,&nbsp;Sonali Mallick ,&nbsp;Mohammad Kamruzzaman ,&nbsp;Priya Lal Chandra Paul ,&nbsp;Mohammed Mainuddin","doi":"10.1016/j.crm.2025.100690","DOIUrl":"10.1016/j.crm.2025.100690","url":null,"abstract":"<div><div>The Ganges Delta supports a unique coastal ecosystem that is highly susceptible to global climate change. This paper presents results from a study on climate change impacts on coastal agriculture in the deltaic regions of Bangladesh and India. The study examined how risk emerges from the interaction of hazard, exposure and vulnerability. Climate hazards for the 89 administrative units (upazila in Bangladesh and block in India) were assessed using future climate data from the IPCC’s 6th assessment report. Hazard levels were assessed by integrating the impacts of four temperature extremes and five rainfall extremes critical to crop growth. Through an extensive literature review, 18 biophysical and socio-economic variables were identified as critical and policy-relevant, including three related to exposure and 15 to vulnerability. All indicators were normalized to a dimensionless scale ranging from 0 to 1 for use in vulnerability and risk assessments. Three upazilas in Bangladesh were classified as being under very high climate hazard. The exposure score was found to be relatively higher along Indian coast compared to Bangladesh coast. Among the 89 administrative units analyzed, five upazilas in Bangladesh and two blocks in India were identified under very high vulnerability index, covering 18.6% the area and 8.13% of the total population. When combining vulnerability and climate hazard, three upazilas in Bangladesh and one block in India were identified under very high risk to agriculture. These findings provide a practical framework for developing sustainable agricultural strategies and addressing climate risks in the Ganges Delta and other similar coastal ecosystems worldwide.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"47 ","pages":"Article 100690"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Stakeholder engagement strategies to build resilience to compound hazards: Engaging community-based organizations in research","authors":"Sarah Clark ,&nbsp;Zack Guido ,&nbsp;Laura T. Cabrera-Rivera ,&nbsp;Pablo Méndez-Lázaro ,&nbsp;Ben McMahan ,&nbsp;Federico Cintrón Moscoso ,&nbsp;Wanda I. Crespo-Acevedo ,&nbsp;Marcel Castro-Sitiriche","doi":"10.1016/j.crm.2025.100693","DOIUrl":"10.1016/j.crm.2025.100693","url":null,"abstract":"<div><div>Climate extremes can generate impacts in one sector that cascade or amplify the impacts in others. Developing strategies that build resilience to these compound hazards requires collaboration among diverse stakeholders to understand hazard dynamics and the synergies and tradeoffs in adaptation activities. In many regions, community-based organizations (CBOs) lead in local climate adaptation, and their engagement in research can help inform research agendas and capacity-strengthening activities that support locally led adaptation. In this paper, we describe a co-produced, collaborative research project that convened CBOs working in climate adaptation, public health, and energy resilience in Puerto Rico. The goals were to identify knowledge gaps and opportunities for immediate action. Based on interviews, a participatory workshop, and a survey, we report on the CBO activities, their networks and their views on the relationships between climate, public health, and energy. We also describe their perspectives on priorities to address compound hazards. Drawing on these results, we discuss five strategies that can help research projects collaborate, co-produce, and engage with CBOs. They include understanding the network to inform engagement, paying attention to differential impacts and justice, employing flexible planning to accommodate multiple goals and perspectives, focusing on information sharing to advance collaboration, exploring narratives of change to understand adaptation and maladaptation, and confronting the question of “what next.” This study informs how research can more effectively engage CBOs in climate adaptation studies, which, in turn, can contribute to building plans and systems that are better equipped to build resilience to compound extreme events.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"47 ","pages":"Article 100693"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Local to regional-scale mechanisms behind successful climate services for agriculture in Latin America","authors":"Diana Giraldo ,&nbsp;David Ríos ,&nbsp;Carlos Navarro-Racines ,&nbsp;Kemly Camacho ,&nbsp;Armando Martínez-Valle ,&nbsp;Steven D. Prager ,&nbsp;Diego Obando ,&nbsp;Carlos Zelaya ,&nbsp;Deissy Martínez-Baron ,&nbsp;Ángel G. Muñoz ,&nbsp;Julian Ramirez-Villegas","doi":"10.1016/j.crm.2025.100721","DOIUrl":"10.1016/j.crm.2025.100721","url":null,"abstract":"<div><div>The provision of climate services (CS) has grown at an unprecedented rate over the last decade in response to climate-related risks in several sectors of the global economy; this is especially true in agriculture. Several studies document lessons learnt from (un)successful climate services, and attempt to distil these into key principles, recommendations, or requirements. However, limited systematic analysis and data on the characteristics of the CS that are conducive to success exist to date, including for agriculture. Here, we analyse the Local Technical Agroclimatic Committees (referred to here by its Spanish acronym MTAs) as a CS approach that effectively delivers information to farmers sustainably and at local scale. We propose a framework comprising sixteen metrics that help measure the effectiveness, sustainability, and scalability as key dimensions of CS success. We apply this framework to 26 MTAs across four Latin American countries, namely, Guatemala, Honduras, Nicaragua, and Colombia. The analyses revealed that the MTAs played a significant role in CS transformation pathways, producing a total of 158 outcomes (changes in behaviour of people or institutions), and involving at least 279 institutions at various levels and with diverse roles. Analyses of the sixteen metrics revealed a wide range of performance across the 26 MTAs, with nearly half of the MTAs considered to have or nearly-achieved effectiveness, sustainability, and scalability. MTAs success stems not only from an increase in numbers of farmers and locations reached but also from the evolving roles and responsibilities of a diverse ecosystem of actors that accompany enhanced capacities and tangible benefits on the ground. Based on these results, we propose key CS elements, namely, collaboration; participation; adaptability and flexibility; financial (crowd) resourcing; robust governance and strong leadership; awareness of and improvements in data availability, quality, and assurance; capacity development; user-centred communication; adequate incentives; and enabling policy environment.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"49 ","pages":"Article 100721"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313137","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}