Climate Resilience and Sustainability最新文献

{"title":"Behavioral Readiness for Climate-Smart Agriculture Adoption Among Smallholder Farmers in Southwest Ethiopia","authors":"Tesfaye Gafaro,&nbsp;Kassa Tarekegn Erekalo,&nbsp;Fresenbet Zeleke,&nbsp;Sime Shiferaw","doi":"10.1002/cli2.70071","DOIUrl":"https://doi.org/10.1002/cli2.70071","url":null,"abstract":"<p>Understanding the behavioral mechanisms underlying farmers' readiness to adopt climate-smart agriculture (CSA) is important for informing climate adaptation efforts. This study examines CSA adoption readiness among 384 smallholder farmers in Kaffa zone, Southwest Ethiopia, using covariance-based structural equation modeling. The study extends the Theory of Planned Behavior by incorporating technology perceptions, previous CSA experience, risk aversion, and institutional support. The result shows attitude, subjective norms, perceived behavioral control (PBC), perceived ease of use, previous CSA adoption experience, and institutional support were positively associated with CSA adoption readiness, whereas perceived usefulness and risk aversion were not significant. Perceived ease of use showed the strongest association with adoption intention (<i>β</i> = 0.377, <i>p</i> = 0.001). Institutional support was positively associated with PBC (<i>β</i> = 0.243, <i>p</i> &lt; 0.001) and future intention (<i>β</i> = 0.112, <i>p</i> = 0.030), explaining 5.9% of variance in PBC and 41.4% of the variance in adoption readiness. PBC showed a significant indirect association between institutional support and future intention (<i>β</i> = 0.058, <i>p</i> = 0.013; 95% bootstrap CI: 0.015–0.102), alongside a remaining direct association. The significant indirect association through perceived behavioral control suggests that farmers’ perceptions of their ability to implement CSA may represent an important pathway linking institutional support with adoption intentions. The findings highlight the relevance of integrating institutional support with efforts to strengthen farmers' perceived capability to implement CSA and to enhance behavioural readiness for future adoption.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the Time–Frequency Quantile Nexus Between SDG 9 and SDG 10 in Latin American Countries","authors":"Seyed Alireza Athari,&nbsp;Dervis Kirikkaleli,&nbsp;Kashif Raza Abbasi,&nbsp;Babatunde Sunday Eweade","doi":"10.1002/cli2.70069","DOIUrl":"https://doi.org/10.1002/cli2.70069","url":null,"abstract":"<p>Persistent inequality and uneven industrial development remain major challenges to sustainable development in Latin America. Although SDG 9 (Industry, Innovation, and Infrastructure) and SDG 10 (Reduced Inequalities) are closely connected, their relationship across different distributional and time–frequency conditions remains insufficiently understood. This study examines the dynamic association between SDG 9 and SDG 10 using quarterly data from Latin American countries and a wavelet–quantile framework comprising wavelet quantile cointegration (WQC), wavelet quantile correlation (WQCorr), and wavelet quantile regression (WQR). The findings reveal significant equilibrium relationships between the two goals across several quantiles and time horizons. WQCorr indicates weaker short-term but stronger long-term co-movement, particularly around middle quantiles. WQR further shows positive and significant associations in both directions, with SDG 10–SDG 9 relationships more pronounced in shorter and medium horizons, whereas SDG 9–SDG 10 associations strengthen over medium and longer horizons. The findings support integrated policies targeting SME development, education, finance, technology transfer, infrastructure, and innovation. Such measures can help align industrial development with broader efforts to reduce inequality and promote inclusive sustainable development.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate Resilience and Environmental Sustainability of Healthcare Facilities in a Rural District of Pakistan: A Mixed-Methods Assessment Using the WHO Framework","authors":"Humaira Nazir,&nbsp;Lala-Rukh Matties,&nbsp;Jai K. Das,&nbsp;Zulfiqar A. Bhutta","doi":"10.1002/cli2.70065","DOIUrl":"https://doi.org/10.1002/cli2.70065","url":null,"abstract":"<p>Climate change increasingly threatens healthcare facilities (HCFs), especially in low- and middle-income countries. This study assessed climate vulnerabilities in 12 HCFs (9 primary and 3 secondary) in a rural district Matiari in Sindh, Pakistan, and proposed sustainable interventions. This mixed-methods study (April–July 2025) combined four components, including a quantitative survey with doctors and patients, an HCF assessment using the World Health Organization (WHO) checklists for climate-resilient and environmentally sustainable HCF, environmental simulations of wind and solar exposure, and Quantum Geographic Information System (QGIS)-based spatial flood analysis. All HCFs had a medium level of preparedness (33.4%–66.6% range) with workforce scoring lowest (37%), water, sanitation, and waste management (WASH) (41.3%), infrastructure (48.3%), and energy (51.0%). Doctors reported inadequate climate preparedness training (50%) and poor waste management (80%). Patients’ responses were mixed, with high access to clean water (80%), but frequent power outages (60%). The environmental analysis identified poor ventilation and excessive heat exposure, and spatial flood analysis identified 42% of the HCFs as highly susceptible. No facility met WHO climate-resilience standards, as no specific domain reached a “high” level of preparedness. There is a need for greater attention and investment across all domains to make the HCFs in Pakistan climate resilient.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovation for Climate Change Adaptation: A Meta-Analysis","authors":"Ashenafi Woldemichael Woime,&nbsp;Woinshet Ayantu Dilebo","doi":"10.1002/cli2.70066","DOIUrl":"https://doi.org/10.1002/cli2.70066","url":null,"abstract":"<p>Evidence on climate adaptation innovations remains fragmented, limiting evidence-informed policy. This meta-analysis of 418 studies (2010–2023), stratified by outcome and design with publication-bias adjustment, synthesizes effectiveness, equity, and scalability. Hybrid approaches showed a 39% advantage over single-domain innovations (<i>g</i> = 1.24), although bias correction reduced this by 18%. Outcomes varied across domains. Equity improved when women's participation exceeded 40%, yet 73% of technological interventions showed elite capture. Portfolio approaches are recommended, supported by adaptive, inclusive governance.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149145631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Framework for Quantifying Diverse Multi-Hazard Interactions to Enhance Climate Resilience","authors":"Mohammed Sarfaraz Gani Adnan,&nbsp;Christopher J. White,&nbsp;Eleonora Perugini,&nbsp;Esther Hlíðar Jensen,&nbsp;Talfan Barnie,&nbsp;Natalia Castillo,&nbsp;Marcello Arosio,&nbsp;Enrico Tubaldi,&nbsp;Matthew James Roberts,&nbsp;Marco Gaetani,&nbsp;Younghwa Cha,&nbsp;Frederiek Sperna Weiland,&nbsp;Mario Martinelli,&nbsp;John Douglas","doi":"10.1002/cli2.70063","DOIUrl":"https://doi.org/10.1002/cli2.70063","url":null,"abstract":"<p>Multi-hazard events generate impacts exceeding those of individual hazards but remain difficult to assess due to complex interactions. This study presents a generalized framework for analyzing four interaction types—multivariate, preconditioned and triggering, spatially, and temporally compounding events—across current and future climates. Combining extreme-event detection, Bayesian copula modeling, and spatial analysis, the framework enables consistent multi-hazard characterization beyond pairwise approaches. Applications to four European case studies reveal strong hazard dependencies and increased multi-hazard occurrence under future climate scenarios.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling Climate-Resilient Habitats for Conservation and Restoration of Isoberlinia doka Craib and Stapf and Isoberlinia tomentosa (Harms) Craib and Stapf in Benin","authors":"Sessi Gilles Christian Adjahossou,&nbsp;Jacques Idohou Kadjogbé Ayena,&nbsp;Akoeugnigan Idelphonse Sode,&nbsp;Rodrigue Idohou,&nbsp;Abel Biaou Olaye,&nbsp;Thierry Dèhouégnon Houehanou,&nbsp;Gérard Nounagnon Gouwakinnou,&nbsp;Sèmanoudé Scholastique Mireille Toyi,&nbsp;Marcel Romuald Benjamin Houinato","doi":"10.1002/cli2.70062","DOIUrl":"https://doi.org/10.1002/cli2.70062","url":null,"abstract":"<p>Despite having similar climatic niches, climate change can affect closely related tree species differently. Using occurrence data and environmental predictors, we evaluated the climate vulnerability, niche similarity and conservation priorities of <i>Isoberlinia doka</i> Craib and Stapf and <i>Isoberlinia tomentosa</i> (Harms) Craib and Stapf in Benin. These open-forest species play an important ecological and socioeconomic role for local communities by providing firewood, charcoal, timber and medicinal resources. We modelled the climatic suitability of the species using maximum entropy (MaxEnt) under current conditions and Shared Socioeconomic Pathway (SSP) 1–2.6, SSP 2–4.5 and SSP 5–8.5 scenarios for the period 2041–2060. We quantified climate niche overlap using Schoener's <i>D</i> and Hellinger's <i>I</i> indices. Spatial prioritization integrated climatic suitability, edaphic conditions, topographic moisture and anthropogenic pressure. Despite exhibiting high niche overlap (<i>D</i> = 0.635; <i>I</i> = 0.788), the species responded differently. <i>I. doka</i> experienced severe habitat contraction, with losses of 62%–87% in the Sudanian zone (SZ) and Sudanian–Guinean zone (SGZ) and near-complete loss of suitable habitat in the Guinean zone. <i>I. tomentosa</i> experienced more moderate losses (8%–12%) in the SZ and localized gains (6%–8%) in the SGZ. Priority areas were primarily located in the SZ, with less than 13% overlapping with existing protected areas. These findings demonstrate that niche conservatism does not imply equivalent climate vulnerability among closely related species. Therefore, conservation planning should be species-specific and extend beyond protected areas through habitat restoration, agroforestry and targeted protection of priority populations. Such strategies support the achievement of Sustainable Development Goals 13 and 15 by promoting climate change adaptation, biodiversity conservation, sustainable ecosystem management and local livelihoods.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148942195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gendered Relational Climate Information Services and Kenyan Pastoralist Adaptation","authors":"Waithira A. C. Dormal","doi":"10.1002/cli2.70060","DOIUrl":"https://doi.org/10.1002/cli2.70060","url":null,"abstract":"<p>Climate Information Services in Kenya operate as gendered socio-technical assemblages that organise how forecasts gain authority, move through material and institutional gateways, and become usable in everyday adaptation. Based on 12 gender-disaggregated focus groups in three pastoralist sites in Kajiado County, this study integrates Actor Network Theory with relational agency to analyse how climate information attains legitimacy within differentiated social and infrastructural settings and how this process is patterned by gender. The analysis traces convergences and divergences across the three sites, showing how gendered authority, documentation status, and infrastructural positioning determine whose interpretations are prioritised and who accesses information flows. The findings demonstrate that these relational and material configurations generate distinct adaptation pathways and underscore the need to redesign enrolment practices and strengthen inclusive local arenas.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148848786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertainty Quantification and Attribution for Resilient Infrastructure Systems","authors":"Saskia Salwey,&nbsp;Anna Murgatroyd,&nbsp;Hannah Bloomfield,&nbsp;Gemma Coxon,&nbsp;Francesca Pianosi","doi":"10.1002/cli2.70059","DOIUrl":"https://doi.org/10.1002/cli2.70059","url":null,"abstract":"<p>Infrastructure resilience to environmental change is critical for maintaining the delivery of essential services to our society, including power generation, water supply, transport and telecommunication. Computational modelling has become integral to infrastructure planning and management, enabling the exploration of system interdependencies and the testing of adaptation strategies against unprecedented conditions. However, infrastructure model outputs are conditional on a range of uncertain assumptions about the system drivers and properties, both in the present day and in the future under climate change. In this article, we show how global sensitivity analysis can be used to consistently quantify and attribute the uncertainty in infrastructure model outputs as a consequence of input uncertainties, using two examples from the energy and water sector in the United Kingdom (UK). We find that dominant uncertainties vary case by case, as does the relative importance of climate uncertainty. We argue that structured uncertainty and sensitivity analysis should be incorporated more consistently across infrastructure modelling sectors to support resilient infrastructure design.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148784005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Risk Reduction: Leveraging Multiple Resilience Dividend Concept for Transformative Adaptation Planning","authors":"Oscar Higuera Roa,&nbsp;Robert Šakić Trogrlić,&nbsp;Michaela Bachmann,&nbsp;Stefan Hochrainer-Stigler,&nbsp;Reinhard Mechler","doi":"10.1002/cli2.70054","DOIUrl":"https://doi.org/10.1002/cli2.70054","url":null,"abstract":"<p>Climate change adaptation (CCA) planning has traditionally focused on risk-avoidance and loss-reduction, often treating co-benefits as secondary. This narrow perspective overlooks the wider societal, economic and environmental benefits—as well as potential trade-offs—of CCA, leading to underinvestment and missed opportunities to advance sustainable development. To address this gap, a more integrated approach that understands CCA's multifaceted impacts is essential. This article introduces a framework for incorporating the multiple resilience dividends (MRD) lens into the entire CCA planning cycle, emphasising the comprehensive value of adaptation actions. Expanding upon the ‘triple resilience dividend’ concept, the MRD approach recognises that adaptation interventions produce diverse direct and indirect effects—both beneficial and adverse—across systems and time frames. By embedding MRD thinking into key planning stages, the article explains how CCA can shift from siloed, risk-centric practices toward integrated, multi-objective and transformational strategies. A heuristic coastal-urban illustration shows in principle how MRD-informed planning can be operationalised with existing methods and, thus, may support more equitable, cost-effective and sustainable adaptation portfolios. Ultimately, we argue that making MRD operational can reframe CCA as a generator of multiple benefits beyond risk reduction, enabling a critical pathway to accelerate climate resilience.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling Hidden Heterogeneity: How Quantile Methods Shape Performance-Dependent Sustainable Development Goal (SDG) 12 and 13 Interactions in BRICS Plus Economies","authors":"Seyed Alireza Athari,&nbsp;Eric Tieku Agyemang,&nbsp;Dervis Kirikkaleli","doi":"10.1002/cli2.70058","DOIUrl":"https://doi.org/10.1002/cli2.70058","url":null,"abstract":"<p>This study examines the linkage between SDG12 (Responsible Consumption and Production) and SDG13 (Climate Action) in the BRICS plus countries from 2000 to 2024. The outcomes reveal that: (i) SDG12 positively affects SDG13 across different performance quantiles. (ii) SDG13 has a positive correlation with SDG12 across different performance quantiles and periods. (iii) SDG13 positively affects SDG12 across different performance quantiles. However, the strength of impacts and correlation varies significantly across different quantiles and periods.</p>","PeriodicalId":100261,"journal":{"name":"Climate Resilience and Sustainability","volume":"5 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cli2.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}