Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100558
Jan Ketil Rød , Carlo Aall , Torbjørn Selseng
This article presents a newly developed climate service designed to monitor climate risk in Norwegian municipalities using a variety of indicators. The service is accessible through a publicly available multimedia platform. With the expected increase in extreme weather events, many climate services have emerged focusing solely on future climate conditions, thus addressing only the hazard component of climate risk. As a result, most current local climate services evaluate how future climate will impact today’s society. The Intergovernmental Panel on Climate Change (IPCC), however, recently developed a risk framework consisting of four determinants: hazard, exposure, vulnerability, and response. Following this framework, our climate service incorporates all four risk determinants. It presents geographically and temporally varying indicators expressing current, near-future, and far-future projections or scenarios on hazard, exposure, and vulnerability, and maps these against current response levels. This approach enables us to identify which municipalities in Norway are most at risk and currently have the least adequate responses.
{"title":"Towards a holistic climate service: Addressing all four climate risk determinants","authors":"Jan Ketil Rød , Carlo Aall , Torbjørn Selseng","doi":"10.1016/j.cliser.2025.100558","DOIUrl":"10.1016/j.cliser.2025.100558","url":null,"abstract":"<div><div>This article presents a newly developed climate service designed to monitor climate risk in Norwegian municipalities using a variety of indicators. The service is accessible through a publicly available multimedia platform. With the expected increase in extreme weather events, many climate services have emerged focusing solely on future climate conditions, thus addressing only the hazard component of climate risk. As a result, most current local climate services evaluate how future climate will impact today’s society. The Intergovernmental Panel on Climate Change (IPCC), however, recently developed a risk framework consisting of four determinants: hazard, exposure, vulnerability, and response. Following this framework, our climate service incorporates all four risk determinants. It presents geographically and temporally varying indicators expressing current, near-future, and far-future projections or scenarios on hazard, exposure, and vulnerability, and maps these against current response levels. This approach enables us to identify which municipalities in Norway are most at risk and currently have the least adequate responses.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100558"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748668","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}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100567
Negussie Zeray
<div><div>The study objective is to assess farmers’ perception and adaptation to climate change in the Karat Zuria district, Southern Ethiopia. Multivariate probit models and descriptive statistics were used to evaluate cross-sectional data collected from 339 sample households. Surveyed farmers in Karat Zuria largely perceive increasing climate change impacts, including unpredictable rainfall, heat-related crop and animal diseases, intensified weed infestations, rising temperatures, shorter rainy seasons, and worsening droughts/water shortages. 46.4%, 72.5%, 63.4%, 88.9%, 85.6%, 51.0%, and 88.9% of the smallholder farmers’ adaptation strategies to climate change are small-scale irrigation, agro-forestry, changing planting dates, soil and water conservation, growing different types of plants, growing different crop varieties, and using improved fodder crops and hay for livestock feed. The results of the multivariate probit model revealed that the main factors influencing households’ decisions to choose different adaptation strategies for coping with climate change are sex, age, knowledge of climate change, farm income, the number and size of animals owned by the household, the size of the farm, the use of credit, the distance between the farm and the residence, the frequency of drought, and experience of crop loss. To improve climate change adaptation in Karat Zuria, policymakers should focus on tailored interventions that address credit access, agricultural knowledge, and resource management, considering farmers’ unique needs and circumstances.</div><div>Practical implications</div><div>The images listed below were all taken when the study’s fieldwork was being done. Images 1 and 6 show rivers, springs, and irrigation water sources that are utilized to gather water and adapt to climate change.</div><div>As a consequence of key informant interviews and field observations, early maturing crop varieties such as BH140 maize, DZ-CE37 teff, humara-1 sesame, Mung bean, common bean, Gubeye, Asnakech, and Berhane are being used as alternative sorts of adaptation techniques in the research region (See photos 7–17).</div><div>Since they lessen the risk of flooding and improve soil moisture and organic matter retention, soil and water conservation techniques, notably tracing, are a well-known approach for dealing with climate change. Regarding the agroforestry option, farmers in the study region cultivate fodder plants and widely utilized agroforestry techniques in the neighborhood include the indigenous Oybata (Terminalia browine) and pigeam pea (Cajanus cajan).</div><div>In order to alleviate the shortage of animal feed, farmers frequently plant indigenous forage (Kanda), Rhodes grass (Chloris gayana), and elephant grass (Pennisetum purpureum) around their fields. On the other hand, farmers in the study area frequently feed their animals agricultural leftovers and harvest acacia pods during times of drought as a kind of adaptation to climate change.</div><
{"title":"Smallholder Farmers’ perceptions of climate change and adaptation strategies in Southern Ethiopia: Mixed method approach","authors":"Negussie Zeray","doi":"10.1016/j.cliser.2025.100567","DOIUrl":"10.1016/j.cliser.2025.100567","url":null,"abstract":"<div><div>The study objective is to assess farmers’ perception and adaptation to climate change in the Karat Zuria district, Southern Ethiopia. Multivariate probit models and descriptive statistics were used to evaluate cross-sectional data collected from 339 sample households. Surveyed farmers in Karat Zuria largely perceive increasing climate change impacts, including unpredictable rainfall, heat-related crop and animal diseases, intensified weed infestations, rising temperatures, shorter rainy seasons, and worsening droughts/water shortages. 46.4%, 72.5%, 63.4%, 88.9%, 85.6%, 51.0%, and 88.9% of the smallholder farmers’ adaptation strategies to climate change are small-scale irrigation, agro-forestry, changing planting dates, soil and water conservation, growing different types of plants, growing different crop varieties, and using improved fodder crops and hay for livestock feed. The results of the multivariate probit model revealed that the main factors influencing households’ decisions to choose different adaptation strategies for coping with climate change are sex, age, knowledge of climate change, farm income, the number and size of animals owned by the household, the size of the farm, the use of credit, the distance between the farm and the residence, the frequency of drought, and experience of crop loss. To improve climate change adaptation in Karat Zuria, policymakers should focus on tailored interventions that address credit access, agricultural knowledge, and resource management, considering farmers’ unique needs and circumstances.</div><div>Practical implications</div><div>The images listed below were all taken when the study’s fieldwork was being done. Images 1 and 6 show rivers, springs, and irrigation water sources that are utilized to gather water and adapt to climate change.</div><div>As a consequence of key informant interviews and field observations, early maturing crop varieties such as BH140 maize, DZ-CE37 teff, humara-1 sesame, Mung bean, common bean, Gubeye, Asnakech, and Berhane are being used as alternative sorts of adaptation techniques in the research region (See photos 7–17).</div><div>Since they lessen the risk of flooding and improve soil moisture and organic matter retention, soil and water conservation techniques, notably tracing, are a well-known approach for dealing with climate change. Regarding the agroforestry option, farmers in the study region cultivate fodder plants and widely utilized agroforestry techniques in the neighborhood include the indigenous Oybata (Terminalia browine) and pigeam pea (Cajanus cajan).</div><div>In order to alleviate the shortage of animal feed, farmers frequently plant indigenous forage (Kanda), Rhodes grass (Chloris gayana), and elephant grass (Pennisetum purpureum) around their fields. On the other hand, farmers in the study area frequently feed their animals agricultural leftovers and harvest acacia pods during times of drought as a kind of adaptation to climate change.</div><","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100567"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100568
Kiyong Park , Sang Hyun Choi
Over the past few decades, the intensity and frequency of flooding have increased worldwide, resulting in a significant increase in damage rate. Urban spatial analysis regarding land use has been conducted to address the fundamental problem of flood risk and prepare long-term measures. This study proposes a flood risk assessment approach that integrates vulnerability and hazard components within a Social-Economic-Structural-Environmental (S-E-S-E) framework. Vulnerability is classified into social, economic, and structural factors, while hazard is determined based on environmental variables such as topography and precipitation. The urban flood risk analysis results showed that commercial and residential areas are very dangerous, while green areas are safe for zoning districts. The urban, southwest, and southeast regions were found to be relatively dangerous for regions. These findings indicate that flood risk is high in urban areas with high population density, areas responsible for the key functions of the city, vulnerable groups, and declining urban areas. The proposed method enables the identification of high risk areas, facilitating data-driven land use planning for sustainable urban resilience. This study contributes to urban flood mitigation strategies by providing a systematic approach to spatial risk assessment, which can be adapted to different urban settings facing similar climate challenges.
{"title":"Analysis of urban flood risk for the implementation of sustainable land use measures","authors":"Kiyong Park , Sang Hyun Choi","doi":"10.1016/j.cliser.2025.100568","DOIUrl":"10.1016/j.cliser.2025.100568","url":null,"abstract":"<div><div>Over the past few decades, the intensity and frequency of flooding have increased worldwide, resulting in a significant increase in damage rate. Urban spatial analysis regarding land use has been conducted to address the fundamental problem of flood risk and prepare long-term measures. This study proposes a flood risk assessment approach that integrates vulnerability and hazard components within a Social-Economic-Structural-Environmental (S-E-S-E) framework. Vulnerability is classified into social, economic, and structural factors, while hazard is determined based on environmental variables such as topography and precipitation. The urban flood risk analysis results showed that commercial and residential areas are very dangerous, while green areas are safe for zoning districts. The urban, southwest, and southeast regions were found to be relatively dangerous for regions. These findings indicate that flood risk is high in urban areas with high population density, areas responsible for the key functions of the city, vulnerable groups, and declining urban areas. The proposed method enables the identification of high risk areas, facilitating data-driven land use planning for sustainable urban resilience. This study contributes to urban flood mitigation strategies by providing a systematic approach to spatial risk assessment, which can be adapted to different urban settings facing similar climate challenges.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100568"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100574
S. Bharwani, K. Williamson, R. Butterfield
<div><div>The potential of online knowledge platforms to support urgent climate action is increasingly recognized; however, their effectiveness is often hindered by the fragmentation and overabundance of information, which can impede learning and contribute to misinformation, redundancy, and erosion of trust. Despite their proliferation, few platforms have undergone systematic evaluation of their impact on research, policy, and practice. This study addresses this gap by assessing the usability and impact of the weADAPT online platform through a mixed-methods approach, combining a user survey and semi-structured interviews. The findings reveal clear pathways linking knowledge management (KM) aims and activities to outputs, outcomes, and longer-term impacts. Users reported that the platform effectively promoted climate change adaptation awareness, supported capacity development, influenced policy and planning, and facilitated knowledge exchange and collaboration. Further analysis identified six core KM activities—enhancing usability, inclusivity, trust, transferability, connectivity, and alignment with FAIR principles—as central to platform effectiveness. These findings informed a recent platform upgrade (2022–2024), the refinement of weADAPT’s Theory of Change, and the development of a tailored monitoring, evaluation, and learning (MEL) framework featuring custom progress indicators. The study underscores the importance of aligning KM practices with user needs and evaluating platform impact in meaningful ways—measuring what we value, rather than merely what is easy to quantify. These insights offer practical guidance for knowledge managers and platform developers working to enhance learning and support evidence-based climate adaptation.</div></div><div><h3>Practical implications chapter</h3><div>As a climate service, the weADAPT online platform<span><span><sup>1</sup></span></span> primarily (but not exclusively) targets communities in low- to middle-income countries to help reach and give voice to vulnerable communities and those in “hard to reach” regions of the world. Acting on results of a survey (379 responses) and interviews (21) conducted (June 2022 – February 2023) on the impact and use of platform, weADAPT adopted six key knowledge management (KM) specific aims and related activities to support its mission to help users collectively “Learn, Share and Connect” (see <span><span>Fig. 1</span></span> for three use cases that provide examples of these three pillars). These are as follows: 1) increasing usability through translation, tailoring, syntheses and capacity development; 2) enhancing inclusivity through just and equitable sharing of multiple knowledges; 3) building trust through collaborative KM processes; 4) creating transferability through sharing multi-scale, multi-sectoral place-based knowledge; 5) improving connectivity through cross-fertilization of knowledge, users, networks and influencing other platforms; and 6) promoting find
{"title":"Measuring what matters: Building impact pathways to actionable information for the weADAPT platform","authors":"S. Bharwani, K. Williamson, R. Butterfield","doi":"10.1016/j.cliser.2025.100574","DOIUrl":"10.1016/j.cliser.2025.100574","url":null,"abstract":"<div><div>The potential of online knowledge platforms to support urgent climate action is increasingly recognized; however, their effectiveness is often hindered by the fragmentation and overabundance of information, which can impede learning and contribute to misinformation, redundancy, and erosion of trust. Despite their proliferation, few platforms have undergone systematic evaluation of their impact on research, policy, and practice. This study addresses this gap by assessing the usability and impact of the weADAPT online platform through a mixed-methods approach, combining a user survey and semi-structured interviews. The findings reveal clear pathways linking knowledge management (KM) aims and activities to outputs, outcomes, and longer-term impacts. Users reported that the platform effectively promoted climate change adaptation awareness, supported capacity development, influenced policy and planning, and facilitated knowledge exchange and collaboration. Further analysis identified six core KM activities—enhancing usability, inclusivity, trust, transferability, connectivity, and alignment with FAIR principles—as central to platform effectiveness. These findings informed a recent platform upgrade (2022–2024), the refinement of weADAPT’s Theory of Change, and the development of a tailored monitoring, evaluation, and learning (MEL) framework featuring custom progress indicators. The study underscores the importance of aligning KM practices with user needs and evaluating platform impact in meaningful ways—measuring what we value, rather than merely what is easy to quantify. These insights offer practical guidance for knowledge managers and platform developers working to enhance learning and support evidence-based climate adaptation.</div></div><div><h3>Practical implications chapter</h3><div>As a climate service, the weADAPT online platform<span><span><sup>1</sup></span></span> primarily (but not exclusively) targets communities in low- to middle-income countries to help reach and give voice to vulnerable communities and those in “hard to reach” regions of the world. Acting on results of a survey (379 responses) and interviews (21) conducted (June 2022 – February 2023) on the impact and use of platform, weADAPT adopted six key knowledge management (KM) specific aims and related activities to support its mission to help users collectively “Learn, Share and Connect” (see <span><span>Fig. 1</span></span> for three use cases that provide examples of these three pillars). These are as follows: 1) increasing usability through translation, tailoring, syntheses and capacity development; 2) enhancing inclusivity through just and equitable sharing of multiple knowledges; 3) building trust through collaborative KM processes; 4) creating transferability through sharing multi-scale, multi-sectoral place-based knowledge; 5) improving connectivity through cross-fertilization of knowledge, users, networks and influencing other platforms; and 6) promoting find","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100574"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100582
Amos Mensah , Prince Asiedu
The intersection of gender dynamics and climate information sources significantly shapes the resilience and adaptive capacities of cowpea farmers in Cinzana, Mali. The paper investigates farmers’ access to and perception of climate information, focusing on gender differences that are needed to enhance adaptation to climate variability. The study also explores the constraints faced by both groups in adopting climate-resilient practices. Using data from 260 smallholder cowpea farmers, including 133 men and 127 women, ordered logit and multiple regression models were employed. The results indicate that age, sex, years of experience, and use of high-yielding varieties influence farmers’ frequency of information access from respective sources. The study further revealed that access of information from television, the use of high-yielding varieties, among others, significantly influence cowpea yields. We recommend the promotion of gender-responsive climate information services that facilitate targeted interventions that recognize farmers’ differences to enhance equitable access to resources, improve adaptation, and increase cowpea productivity in Mali.
{"title":"Bridging the gap: Gender-sensitive climate information and its implications for cowpea production in Mali","authors":"Amos Mensah , Prince Asiedu","doi":"10.1016/j.cliser.2025.100582","DOIUrl":"10.1016/j.cliser.2025.100582","url":null,"abstract":"<div><div>The intersection of gender dynamics and climate information sources significantly shapes the resilience and adaptive capacities of cowpea farmers in Cinzana, Mali. The paper investigates farmers’ access to and perception of climate information, focusing on gender differences that are needed to enhance adaptation to climate variability. The study also explores the constraints faced by both groups in adopting climate-resilient practices. Using data from 260 smallholder cowpea farmers, including 133 men and 127 women, ordered logit and multiple regression models were employed. The results indicate that age, sex, years of experience, and<!--> <!-->use of high-yielding varieties influence farmers’ frequency of information access from respective sources. The study further revealed that access of information from television, the use of high-yielding varieties, among others, significantly influence cowpea yields. We recommend the promotion of gender-responsive climate information services that facilitate targeted interventions that recognize farmers’ differences to enhance equitable access to resources, improve adaptation, and increase cowpea productivity in Mali.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100582"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Climate change significantly affects smallholder farmers in Ethiopia who rely on rain-fed agriculture for their livelihoods. Farmers’ perceptions of climate change can modify their adaptation response decisions. However, there is limited knowledge about the key constraints that hinder the adoption of climate change measures in the Megech watershed. This research aimed to assess the smallholder farmers’ perception regarding climate change and the factors influencing their decision to adopt adaptation measures. This research employed a multi-stage sampling procedure to select a sample of 385 smallholder farmer households. Structured and semi-structured questionnaires were designed to conduct a household survey and focus group discussion for data purposes. Furthermore, this study covered a comparison between the farmers’ perspectives on climate change and the observed climate trends. The data analysis was done by descriptive statistics and logistic regression equation. Results showed that the primary sources for most farmers to get information about climate change were extension workers, radio broadcasts, and religious institutions. The majority of farmers believed that climate change was attributed to deforestation, population growth, and industrialization. Almost all farmers were cognizant of the temperature rise, aligning with the observed trend. However, the perception of the farmers on declining rainfall aligns only with recent rainfall trends. Farmers in the downstream had more experience in adopting climate change resilience strategies than farmers in the mid and upstream. On average, 87% of the farmers applied adaptation measures, including intensive inputs (fertilizers), planting date changes, and improved varieties. The farmers’ adoption of adaptation strategies was hampered by challenges such as limited access to credit and high costs of agricultural inputs. The regression analysis revealed that age, education, extension and credit access, and livestock size significantly affected the decision to adopt adaptation measures. These findings may support policymakers in formulating location-based adaptation measures to enhance resilience to climate change.
{"title":"Climate change perceptions and adaptation responses among smallholder farmers across three locations in Megech Watershed, Ethiopia","authors":"Achenafi Teklay , Asrat Ayalew , Amanuel Abate , Masresha Ashenafi , Ashenafi Tadesse Marye , Assefa Tilahun , Haimanote K. Bayabil , Alemayehu Kassa , Hailu Birara , Kassaye Gurebiyaw , Kibruyesfa Sisay","doi":"10.1016/j.cliser.2025.100566","DOIUrl":"10.1016/j.cliser.2025.100566","url":null,"abstract":"<div><div>Climate change significantly affects smallholder farmers in Ethiopia who rely on rain-fed agriculture for their livelihoods. Farmers’ perceptions of climate change can modify their adaptation response decisions. However, there is limited knowledge about the key constraints that hinder the adoption of climate change measures in the Megech watershed. This research aimed to assess the smallholder farmers’ perception regarding climate change and the factors influencing their decision to adopt adaptation measures. This research employed a multi-stage sampling procedure to select a sample of 385 smallholder farmer households. Structured and semi-structured questionnaires were designed to conduct a household survey and focus group discussion for data purposes. Furthermore, this study covered a comparison between the farmers’ perspectives on climate change and the observed climate trends. The data analysis was done by descriptive statistics and logistic regression equation. Results showed that the primary sources for most farmers to get information about climate change were extension workers, radio broadcasts, and religious institutions. The majority of farmers believed that climate change was attributed to deforestation, population growth, and industrialization. Almost all farmers were cognizant of the temperature rise, aligning with the observed trend. However, the perception of the farmers on declining rainfall aligns only with recent rainfall trends. Farmers in the downstream had more experience in adopting climate change resilience strategies than farmers in the mid and upstream. On average, 87% of the farmers applied adaptation measures, including intensive inputs (fertilizers), planting date changes, and improved varieties. The farmers’ adoption of adaptation strategies was hampered by challenges such as limited access to credit and high costs of agricultural inputs. The regression analysis revealed that age, education, extension and credit access, and livestock size significantly affected the decision to adopt adaptation measures. These findings may support policymakers in formulating location-based adaptation measures to enhance resilience to climate change.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100566"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100570
Jean C.H. Miguel , Renzo R. Taddei , Marley C.L. Moscati , Caio A.S. Coelho , Iracema F.A. Cavalcanti , Luiz F. Rezende , Celso von Randow
This research paper presents the findings and lessons from the international CLIMAX project—Climate Services Through Knowledge Co-production: A Euro-South American Initiative for Strengthening Societal Adaptation Response to Extreme Events. The project, engaging with the Brazilian National Electric System Operator (ONS), explores co-production as a method to implement climate services in the context of Brazil, particularly within the country’s hydroelectric power sector. Through interactive research and transdisciplinary collaboration, the CLIMAX project evaluates both the implementation of climate services and the concept of utility in knowledge co-production. The research identifies inherent diversity and “utility paradoxes” within the co-production process. These paradoxes involve the perceived relevance of climate information versus its integration into systems, and its instrumental use versus its justification for decisions. The study highlights the significance of stakeholder engagement, close and meaningful communication, and adaptability to context-specific needs. By sharing experiences from a five-year interactive research initiative, it offers insights into improving practices for future co-production endeavors. This entails recognizing varied research contexts, managing co-design processes with an awareness of time and resources, and encouraging flexibility and personal transformation within co-design.
{"title":"Co-production in climate services for the electricity sector in Brazil – Insights from the CLIMAX project","authors":"Jean C.H. Miguel , Renzo R. Taddei , Marley C.L. Moscati , Caio A.S. Coelho , Iracema F.A. Cavalcanti , Luiz F. Rezende , Celso von Randow","doi":"10.1016/j.cliser.2025.100570","DOIUrl":"10.1016/j.cliser.2025.100570","url":null,"abstract":"<div><div>This research paper presents the findings and lessons from the international CLIMAX project—Climate Services Through Knowledge Co-production: A Euro-South American Initiative for Strengthening Societal Adaptation Response to Extreme Events. The project, engaging with the Brazilian National Electric System Operator (ONS), explores co-production as a method to implement climate services in the context of Brazil, particularly within the country’s hydroelectric power sector. Through interactive research and transdisciplinary collaboration, the CLIMAX project evaluates both the implementation of climate services and the concept of utility in knowledge co-production. The research identifies inherent diversity and “utility paradoxes” within the co-production process. These paradoxes involve the perceived relevance of climate information versus its integration into systems, and its instrumental use versus its justification for decisions. The study highlights the significance of stakeholder engagement, close and meaningful communication, and adaptability to context-specific needs. By sharing experiences from a five-year interactive research initiative, it offers insights into improving practices for future co-production endeavors. This entails recognizing varied research contexts, managing co-design processes with an awareness of time and resources, and encouraging flexibility and personal transformation within co-design.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100570"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100581
Iftikhar Ali , Ashfaq Ahmad Shah , Bader Alhafi Alotaibi , Amjad Ali , Mohsin Khan
Local knowledge on climate change is important for designing efficient and effective context-specific adaptation policies. However, there is lack of empirical evidence on the local manifestations of climate change in the high-altitude areas of Pakistan. To fill this gap, this study examines the local knowledge-based perceptions of smallholders on climate change, highlighting transformations of farming system. To achieve study objective, data were collected through 430 structured household surveys, 27 key informant interviews and 4 focus group discussions. Data were analyzed on Microsoft Excel and SPSS using univariate and bivariate techniques. Results of univariate analysis discovered that the majority of respondents have perceived substantial climatic changes such as reduction in snowfall, increase in temperature and unpredictable precipitation. To overcome these variations, smallholders have implemented transformative strategies like use of chemical fertilizers and pesticides and a shift from traditional crop farming to horticultural production. Moreover, bivariate results show a significant positive relationship between education and climate change perception of respondents; signifying individuals with higher levels of education tend to have better perceptions. The study underlines the significance of developing context-specific adaptation policies and strategies by integrating local insights, thereby enhancing the resilience and adaptive capacity of smallholders in high mountain regions of Pakistan.
{"title":"Smallholder perceptions of climate change in high-altitude farming: the influence of household characteristics and local knowledge on adaptation strategies in Nagar District, Pakistan","authors":"Iftikhar Ali , Ashfaq Ahmad Shah , Bader Alhafi Alotaibi , Amjad Ali , Mohsin Khan","doi":"10.1016/j.cliser.2025.100581","DOIUrl":"10.1016/j.cliser.2025.100581","url":null,"abstract":"<div><div>Local knowledge on climate change is important for designing efficient and effective context-specific adaptation policies. However, there is lack of empirical evidence on the local manifestations of climate change in the high-altitude areas of Pakistan. To fill this gap, this study examines the local knowledge-based perceptions of smallholders on climate change, highlighting transformations of farming system. To achieve study objective, data were collected through 430 structured household surveys, 27 key informant interviews and 4 focus group discussions. Data were analyzed on Microsoft Excel and SPSS using univariate and bivariate techniques. Results of univariate analysis discovered that the majority of respondents have perceived substantial climatic changes such as reduction in snowfall, increase in temperature and unpredictable precipitation. To overcome these variations, smallholders have implemented transformative strategies like use of chemical fertilizers and pesticides and a shift from traditional crop farming to horticultural production. Moreover, bivariate results show a significant positive relationship between education and climate change perception of respondents; signifying individuals with higher levels of education tend to have better perceptions. The study underlines the significance of developing context-specific adaptation policies and strategies by integrating local insights, thereby enhancing the resilience and adaptive capacity of smallholders in high mountain regions of Pakistan.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100581"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100572
Cem Işık , Serdar Ongan , Hasibul Islam , Jiale Yan , Rafael Alvarado , Munir Ahmad
This study examines the impact of economic growth, energy prices, digitalization, and climate policy uncertainty—key macroeconomic, technological, and political factors—on ESG performance in the U.S. within a comprehensive sustainability framework to mitigate climate change. The study reveals how these variables impact different levels of ESG performance using Quantile and Quantile-on-Quantile analyses. Findings show that economic growth positively impacts ESG performance. This can be interpreted as the economy incentivizing U.S. companies to adopt and enhance their ESG practices. No significant impact of climate policy uncertainty was found. This result can be interpreted as companies mitigating the effects of climate policy uncertainty on ESG through hedging and risk management strategies. The positive relationship between energy prices and ESG indicates that higher energy costs may improve ESG performance. This can be explained by the fact that sectors facing high energy prices may invest more in sustainable practices, such as adopting renewable energy. Therefore, policymakers should encourage businesses to take individual and collective action to adopt behavior against climate change. The negative impact of digitalization on ESG performance can be explained by the rapid pace of technological change, leading business companies to prioritize profitability over ESG considerations. This result may refer to the Corporate Sustainability Theory.1 Therefore, businesses should integrate digitalization into climate strategies through regulatory measures and enhanced corporate reporting.
{"title":"The nexus of economic growth, energy prices, climate policy uncertainty (CPU), and digitalization on ESG performance in the USA","authors":"Cem Işık , Serdar Ongan , Hasibul Islam , Jiale Yan , Rafael Alvarado , Munir Ahmad","doi":"10.1016/j.cliser.2025.100572","DOIUrl":"10.1016/j.cliser.2025.100572","url":null,"abstract":"<div><div>This study examines the impact of economic growth, energy prices, digitalization, and climate policy uncertainty—key macroeconomic, technological, and political factors—on ESG performance in the U.S. within a comprehensive sustainability framework to mitigate climate change. The study reveals how these variables impact different levels of ESG performance using Quantile and Quantile-on-Quantile analyses. Findings show that economic growth positively impacts ESG performance. This can be interpreted as the economy incentivizing U.S. companies to adopt and enhance their ESG practices. No significant impact of climate policy uncertainty was found. This result can be interpreted as companies mitigating the effects of climate policy uncertainty on ESG through hedging and risk management strategies. The positive relationship between energy prices and ESG indicates that higher energy costs may improve ESG performance. This can be explained by the fact that sectors facing high energy prices may invest more in sustainable practices, such as adopting renewable energy. Therefore, policymakers should encourage businesses to take individual and collective action to adopt behavior against climate change. The negative impact of digitalization on ESG performance can be explained by the rapid pace of technological change, leading business companies to prioritize profitability over ESG considerations. This result may refer to the Corporate Sustainability Theory.<span><span><sup>1</sup></span></span> Therefore, businesses should integrate digitalization into climate strategies through regulatory measures and enhanced corporate reporting.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100572"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines UHI dynamics and impacts in the rapidly urbanizing Kathmandu Valley, Nepal, using remote sensing and predictive modeling. The primary goals are to evaluate UHI trends and explore how urbanization influences temperature and climate change. To achieve these objectives, the research investigates the relationship between spectral characteristics, Land Use Land Cover (LULC), and UHI, utilizing high-resolution data from MODIS and Landsat satellites to analyze land surface temperature (LST) and land use changes over recent decades. The study employs Cellular Automata-Markov (CA-Markov) modeling to predict future UHI dynamics, taking into account climatic variability, land use changes, and population growth. Findings reveal significant increases in LST and UHI intensity due to the expansion of impermeable surfaces and loss of vegetative cover. Predictions for 2030 indicate higher LSTs, with winter temperatures ranging from 9.34 °C to 30.12 °C and summer temperatures from 19.74 °C to 42.32 °C, showing an increase compared to 2020. Additionally, the UHI effect is predicted to intensify due to expanding built-up areas, with greater seasonal variation observed in summer. The results suggest that without effective mitigation, UHI will continue to worsen, exacerbating climate-related issues. Insights into the relationship between spectral parameters, LULC, and UHI can guide strategies to mitigate UHI effects, promote sustainable urban growth, and improve urban resilience. Integrating remote sensing technologies with predictive modeling is crucial for addressing urbanization and climate change challenges.
{"title":"Spatio-temporal dynamics of urban heat island using Google Earth Engine: Assessment and prediction—A case study of Kathmandu Valley, Nepal","authors":"Bishal Khatri, Bipin Kharel, Pragati Dhakal, Samrat Acharya, Ujjwol Thapa","doi":"10.1016/j.cliser.2025.100560","DOIUrl":"10.1016/j.cliser.2025.100560","url":null,"abstract":"<div><div>This study examines UHI dynamics and impacts in the rapidly urbanizing Kathmandu Valley, Nepal, using remote sensing and predictive modeling. The primary goals are to evaluate UHI trends and explore how urbanization influences temperature and climate change. To achieve these objectives, the research investigates the relationship between spectral characteristics, Land Use Land Cover (LULC), and UHI, utilizing high-resolution data from MODIS and Landsat satellites to analyze land surface temperature (LST) and land use changes over recent decades. The study employs Cellular Automata-Markov (CA-Markov) modeling to predict future UHI dynamics, taking into account climatic variability, land use changes, and population growth. Findings reveal significant increases in LST and UHI intensity due to the expansion of impermeable surfaces and loss of vegetative cover. Predictions for 2030 indicate higher LSTs, with winter temperatures ranging from 9.34 °C to 30.12 °C and summer temperatures from 19.74 °C to 42.32 °C, showing an increase compared to 2020. Additionally, the UHI effect is predicted to intensify due to expanding built-up areas, with greater seasonal variation observed in summer. The results suggest that without effective mitigation, UHI will continue to worsen, exacerbating climate-related issues. Insights into the relationship between spectral parameters, LULC, and UHI can guide strategies to mitigate UHI effects, promote sustainable urban growth, and improve urban resilience. Integrating remote sensing technologies with predictive modeling is crucial for addressing urbanization and climate change challenges.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100560"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759743","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}
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