Climate Risk Management最新文献

{"title":"Apple farmer’s willingness to pay for RWBCIS: Determinants and empirical evidences from Jammu and Kashmir, India","authors":"Pawan Kumar Sharma ,&nbsp;Lyaqat Ali ,&nbsp;Shilpa Sharma ,&nbsp;Sidra Shafaqat ,&nbsp;Vishal Mahajan ,&nbsp;Berjesh Ajrawat ,&nbsp;Mohammad Iqbal Bhat","doi":"10.1016/j.crm.2024.100636","DOIUrl":"10.1016/j.crm.2024.100636","url":null,"abstract":"<div><p>Climate-induced extreme events are increasingly affecting farmers’ livelihoods through weather-related losses such as flash floods, hailstorms, and rising temperatures. In response to these challenges, the Central Government has introduced the voluntary Restructured Weather Based Crop Insurance Scheme (RWBCIS) as an effective risk management strategy. Under this scheme, farmers are required to pay a premium of 5 percent of the total compensation to avail the benefits. Apple, a major commercial crop in the north-western Himalayas, contributes 70 percent of India’s total apple production, with a significant share attributed to the Jammu and Kashmir Union Territory. This study aims to explore whether apple growers are willing to pay for RWBCIS and to identify the drivers influencing their decision to purchase such insurance products. Data were collected from 900 apple growers in the purposively selected districts of Baramulla and Budgam in Jammu and Kashmir. The findings indicate that while all farmers were willing to adopt the weather-based crop insurance scheme, the majority were unwilling to pay the current premium. The estimated mean willingness to pay (WTP) was Rs. 37.22 per tree without covariates and Rs. 17 with covariates, compared to the prevailing Rs. 53 in the neighboring state of Himachal Pradesh. Factors contributing to the low WTP included a lack of knowledge about the scheme’s modalities, basis risk, and distrust in both government and private insurance companies. The government should consider innovative methods to provide existing subsidies to achieve the targeted coverage of 25 percent of farmers under the scheme.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100636"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000536/pdfft?md5=77a0e93bb377dc5fa67a2d86fa79a89d&pid=1-s2.0-S2212096324000536-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932772","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":"Expansive learning of climate scientists towards transdisciplinarity","authors":"Alice McClure ,&nbsp;Gina Ziervogel ,&nbsp;Zarina Patel","doi":"10.1016/j.crm.2024.100642","DOIUrl":"10.1016/j.crm.2024.100642","url":null,"abstract":"<div><p>Expansive learning theory was deployed in this study to explore how climate scientists can learn from working in a transdisciplinary mode, particularly to co-produce knowledge and navigate complex climate risks with other actors. A qualitative case study methodology was used to investigate expansive learning for climate scientists involved in the Future Resilience of African CiTies and Lands (FRACTAL) project. Findings from the study show how several major tensions of the cultural and historical work environment of scientists limit their potential to effectively produce scientific climate change information to inform decision making in complex African cities. Novel learning aspects were introduced during transdisciplinarity, which helped the scientists grapple with these tensions. They spent much time in cities with different groups of actors learning about the complex and dynamic drivers of risks in African cities and how these might change into the future. They also learned about the diverse subjectivities, priorities and values that influence African urban decision making. The group of scientists took learning actions to change their approach for co-producing knowledge with other actors in contexts of such complexity. These learning actions demonstrate transformative agency of climate scientists to expand their activities to collaboratively navigate complex African urban climate change risks.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100642"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000597/pdfft?md5=b0df06201fcfd109f1135cc6dc08b125&pid=1-s2.0-S2212096324000597-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932773","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":"Dealing with uncertainty in flood risk management and land use planning decisions: Insights from Aotearoa New Zealand","authors":"Sepideh Afsari Bajestani ,&nbsp;Silvia Serrao-Neumann ,&nbsp;Christina Hanna ,&nbsp;Xinyu Fu","doi":"10.1016/j.crm.2024.100666","DOIUrl":"10.1016/j.crm.2024.100666","url":null,"abstract":"<div><div>Flooding with increasing intensity and frequency is presenting significant challenges for risk management and land use planning in urban areas. This is further exacerbated by uncertainties regarding how flood patterns are changing because of climate change. However, how such uncertainties are considered to inform flood risk management and land use planning decisions can vary largely from place to place and remain unclear in the literature. This paper contributes to this by examining how uncertainty is dealt with in flood risk management and land use planning in Aotearoa New Zealand. Drawing on empirical data at the local level, findings indicate that Aotearoa New Zealand’s decision-makers face challenges in considering and communicating uncertainty due to the prevalence of outdated approaches and regulatory constraints, fragmented risk governance, and lack of appropriate understanding of different perceptions and assumptions regarding flood risk between different stakeholders. Based on findings, the paper discusses the critical role of a national-level adaptive flood risk governance in helping to ensure consistency and coherency across different jurisdictions and levels of government, regarding the incorporation of uncertainty into flood risk management and land use planning. This includes the provision of national directives for incorporating uncertainty in decision-making whilst leaving room for innovation and targeted variability at the local level.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"46 ","pages":"Article 100666"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702055","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":"Mapping the integration of climate considerations in social protection in LMICs: An assessment of ninety-eight climate-relevant social protection programs","authors":"Cecilia Costella ,&nbsp;Abhinav Banthiya ,&nbsp;Rachel Reilly ,&nbsp;Sajanika Sivanu ,&nbsp;Rachel Slater ,&nbsp;Yola Georgiadou ,&nbsp;Maarten van Aalst","doi":"10.1016/j.crm.2024.100660","DOIUrl":"10.1016/j.crm.2024.100660","url":null,"abstract":"<div><div>Social protection can be a key policy tool for managing the socioeconomic impacts of climate change, including poverty and inequality. Despite growing interest from policy makers and academics, a systematic effort to document and analyze the integration of climate considerations in social protection programs is lacking. This understanding is crucial for designing policies and programs that more effectively address the impacts of climate change.</div><div>Our research provides a first systematic mapping of climate considerations integration in social protection programs in low- and middle-income countries. Using a mixed-methods approach, we identify 98 climate-relevant social protection programs and gather data on over 70 variables related to their scope and climate relevance at policy, design, and implementation level. We aim to answer the question: to what extent and how are social protection programs in LMICs climate-relevant?</div><div>We find a significant number of long-standing climate-relevant social protection programs that reach large populations and involve substantial financial investments globally. At the policy and program design level, climate considerations in these programs remain relatively limited and vary based on the sector of the lead agency. At the implementation level, most programs typically focus on shock response, though our findings show they already support broader climate functions. Our results empirically substantiate assumptions about climate-relevant social protection, offer key new policy insights, and identify areas for further research. We also make the database openly available for use by researchers and practitioners.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"46 ","pages":"Article 100660"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702057","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 politics of local climate risk management – A comparison of risk logic in the Netherlands, Norway, and Sweden","authors":"Cathrine Witnes Karlson,&nbsp;Claudia Morsut,&nbsp;Ole Andreas Hegland Engen","doi":"10.1016/j.crm.2024.100626","DOIUrl":"10.1016/j.crm.2024.100626","url":null,"abstract":"<div><p>Drawing on the securitisation and riskification of climate change literature, this paper investigates local governments’ climate risk management following a comparative analysis of three cases in the Netherlands, Norway, and Sweden. The comparative analysis reveals how unwanted consequences of climate change are translated into climate risks, identifying the actors involved in these translations. The analysis then determines the means through which the translations occur, following a risk logic that underpins a particular governmental response to climate change. The findings of this analysis have been contrasted in terms of effects and side effects of the risk logic, showing that the three local cases follow a similar pattern. This paper contributes to understanding the challenges of climate risk management in terms of fortifying existing risk practices, expert-led responses with limited citizen involvement, and long-term societal engineering.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100626"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000433/pdfft?md5=6ee5853d0fe6d1bf64f1a977073e2b53&pid=1-s2.0-S2212096324000433-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141414003","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":"Evaluating the economic and climate adaptation benefits of land conservation strategies in urban coastal regions of the U.S. and China","authors":"Longfeng Wu ,&nbsp;Seung Kyum Kim","doi":"10.1016/j.crm.2024.100632","DOIUrl":"https://doi.org/10.1016/j.crm.2024.100632","url":null,"abstract":"<div><p>Land conservation has been recognized as a multifunctional adaptive strategy to tackle climate change as it includes the ability to mitigate risk and enhance biodiversity. However, limited empirical studies focus on the climatic adaptive functions of land conservation. Employing various geospatial and statistical techniques, including remote sensing, logistic regression, and landscape metrics, we investigate the effects of land conservation’s spatial characteristics. These characteristics affect the functional efficacy of climate adaptation in urban coastal regions, influencing regional economic vitality in the United States and China. Empirical results indicate that regional economic vitality is positively affected by parks and grassland, patch growth patterns, higher urban density, and closer proximities to coastlines and major roads. In contrast, the core growth form of land conservation has a negative economic effect. Among the estimated variables, we find that the patch growth form of land conservation and closer proximity to higher urban density have the largest positive effects on economic vitality across the study sites. Our findings contribute to both land conservation policy and the climate change literature by uncovering the spatially explicit effects of land conservation related to climate change adaptation.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100632"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000494/pdfft?md5=7f060984ba1543c9ab1ec88a7c0e83c2&pid=1-s2.0-S2212096324000494-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141540099","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":"Corrigendum to “Unpacking the theory-practice gap in climate adaptation” [Clim. Risk Manage. 42 (2023) 100567]","authors":"","doi":"10.1016/j.crm.2024.100620","DOIUrl":"10.1016/j.crm.2024.100620","url":null,"abstract":"","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100620"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000378/pdfft?md5=b39dae95073391e33026c7f72c00b510&pid=1-s2.0-S2212096324000378-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141139328","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":"Unseen suffering: Social injustice among women during climate-induced migration in Pakistan","authors":"Wahid Ullah ,&nbsp;Haijun Dong ,&nbsp;Ashfaq Ahmad Shah ,&nbsp;Bader Alhafi Alotaibi ,&nbsp;Muhammad Khursid ,&nbsp;Takaaki Nihei","doi":"10.1016/j.crm.2024.100663","DOIUrl":"10.1016/j.crm.2024.100663","url":null,"abstract":"<div><div>Women are highly exposed to climate-induced natural disasters in Pakistan due to socio-cultural barriers resulting in heightened social injustice among them. This paper investigates the drivers of social injustice during forced migration among women living in vulnerable areas of Pakistan. The study utilized data from fifteen key informants’ interviews by employing a systematic narrative analysis to investigate women’s responses towards migration and gender dimensions of adverse climatic events. The results show that economic, socio-cultural, and health related factors were among the key contributors exposing women to social injustice during migration while in search for better life. The findings further unveiled that decisions regarding migration were mainly taken by the household heads especially who in most cases were the male family members. In all circumstances, securing lives, livelihoods, and properties, access to better education, healthcare facilities, and to overall improve socioeconomic situation of the household, were the primary goals of deciding to move to newfound. Given that some members of the household pursue migration as a result of adverse climatic events, government strategies are required to mitigate risks at destinations and create opportunities for the displaced populations.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"46 ","pages":"Article 100663"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654233","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":"Using social-network analysis to map institutional actors’ links with vulnerable municipalities under climate change in Honduras’ dry corridor. Pathways towards improved cooperation and territorial interventions","authors":"Carlos Eduardo Gonzalez-Rodriguez ,&nbsp;Irma Ayes-Rivera ,&nbsp;Jean-Francois Le Coq ,&nbsp;Rafael Renteria-Ramos ,&nbsp;Johana Marcela Castillo-Rivera","doi":"10.1016/j.crm.2024.100664","DOIUrl":"10.1016/j.crm.2024.100664","url":null,"abstract":"<div><div>The Honduras dry corridor, located in Central America’s Pacific region, has high natural climate variability. Nearly half of the Honduran population depends on socio-economic activities linked to agriculture, making climate-change adaptation crucial for the agricultural sector to ensure food and nutrition security. This research analyzes how institutional structures function and interact as a network to investigate the spatial coherence and relevance of public- and private-sector interventions related to agriculture, climate change, and food security in 153 municipalities of Honduras’ dry corridor. We employed a Social Network Analysis (SNA) approach to examine these interactions over the territories, revealing two network patterns: the first favors a single municipality, observed only in the Central District where Honduras’ capital is located; the second is an egocentric network, favoring a single institution, observed in four cases, particularly in municipalities bordering with El Salvador and Guatemala. The SNA results reveal a spatial misalignment, where only 9% of interventions linked to climate-change adaptation are conducted in the highly vulnerable, outlying zones located farthest from the capital. The study highlights the need for improved coordination and strategic prioritization of interventions in the most vulnerable municipalities within the Honduras dry corridor, specifically improvement in collaborative actions, use of resources, and setting strategic priorities in regions where future demand will require progressively mobilizing institutional capabilities. By identifying the current gaps and misalignments in institutional actions, this research provides valuable insights for policymakers and stakeholders to enhance collaborative efforts to ensure that climate-change adaptation measures effectively target the most vulnerable areas.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"46 ","pages":"Article 100664"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654221","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":"CLIM-SEG: A generalizable segmentation model for heat and flood risk mapping","authors":"Anushka Ray ,&nbsp;Katherine Xu ,&nbsp;Norhan Bayomi,&nbsp;John E. Fernandez","doi":"10.1016/j.crm.2024.100654","DOIUrl":"10.1016/j.crm.2024.100654","url":null,"abstract":"<div><div>With the escalating impact of climate change coupled with increased urbanization, many cities will experience extreme heat events and intense flooding. Current modeling approaches often fail to incorporate high-resolution, frequently updated data sources, such as aerial imagery from web mapping platforms, limiting their effectiveness in identifying areas at risk. To address this gap, the paper presents CLIM-SEG, a novel framework for high-resolution urban heat and flood risk assessment, addressing critical gaps in current climate risk modeling. This framework integrates semantic segmentation of aerial imagery with a weighted sum approach that integrates environmental, socioeconomic, and building data to provide comprehensive risk evaluations at the census tract level. CLIM-SEG synthesize land cover data with hazard and vulnerability factors, producing risk scores ranging from 0 to 1. This low-cost and efficient framework can enable urban planners to prioritize resources for flood mitigation and heat adaptation, addressing the limitations of current approaches and contributing to the field of urban planning and climate change adaptation. The propoosed methodology incorporates a custom-curated dataset of 545 aerial images, including 145 manually annotated segmentation maps, to fine-tune advanced semantic segmentation models. The optimized Segmenter model achieves a pixel accuracy of 97.85% and an Intersection over Union (IoU) of 0.9578 for key urban features, significantly outperforming baseline models. Boston is selected to represent an ideal representation for both heat and flood risk, as the city experiences severe urban heat islands, and is susceptible to coastal and riverine flooding, with over 11,000 structures expected to be affected by 2070 due to sea level rise and increased precipitation. Results from flood and heat risk models indicate that census tracts in South End have the highest flood risk, with a weighted score value of 0.825, while census tracts in the Fenway-Kenmore neighborhood show the highest heat risk, with a score of 0.991. Both of these results have also been verified with other heat and flood risk mapping sources for Boston. The proposed framework of CLIM-SEG not only addresses the challenges faced by Boston but also has the potential to be scaled to other urban areas dealing with the impacts of climate change, providing a valuable tool for risk assessment and decision-making in the face of a changing climate.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"46 ","pages":"Article 100654"},"PeriodicalIF":4.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419240","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}