Pub Date : 2025-04-01DOI: 10.1016/j.cliser.2025.100578
Aurillia Manjella Ndiwa , John Mburu , Richard Mulwa , Chepchumba Chumo
Climate change is significantly impacting small-scale farmers in Kenya, particularly those engaged in key agricultural enterprises; crop cultivation, livestock farming, and fish production. To design interventions and develop policies to address the challenges posed by climate change, it is important to gather evidence of the extent of household vulnerability and the related factors. This study assessed household vulnerability to climate change and identify contributing factors to guide effective interventions and policies. Using the Livelihood Vulnerability Index and ordered Probit regression model, data from 723 small-scale farmers were analyzed. The findings show that households relying solely on crop farming are more vulnerable to the effects of climate change than those combining two or more types of agricultural activities. Households that engaged in multiple farming enterprises such as mixing crops with livestock or fish farming were better prepared to cope with climate-related challenges. Additionally, households headed by younger or more educated individuals, with access to agricultural training and extension services, accessing credit, having membership in farming groups, and located closer to markets were generally less vulnerable. Based on these findings, the study recommends i) implementation of interventions that promote multi-enterprise farming and synergies to enable farmers to diversify risks, (ii) introducing affordable credit options for farmer households, facilitated through policy and other initiatives such as cooperatives, as means to reduce household vulnerability to climate change, and (iii) strengthening government meteorological and extension services to ensure timely and efficient dissemination of climate change-related information to farmers, facilitating the adoption of adaptation measures.
{"title":"Ordered probit results of determinants of climate change vulnerability across different agricultural enterprises in Kenya","authors":"Aurillia Manjella Ndiwa , John Mburu , Richard Mulwa , Chepchumba Chumo","doi":"10.1016/j.cliser.2025.100578","DOIUrl":"10.1016/j.cliser.2025.100578","url":null,"abstract":"<div><div>Climate change is significantly impacting small-scale farmers in Kenya, particularly those engaged in key agricultural enterprises; crop cultivation, livestock farming, and fish production. To design interventions and develop policies to address the challenges posed by climate change, it is important to gather evidence of the extent of household vulnerability and the related factors. This study assessed household vulnerability to climate change and identify contributing factors to guide effective interventions and policies. Using the Livelihood Vulnerability Index and ordered Probit regression model, data from 723 small-scale farmers were analyzed. The findings show that households relying solely on crop farming are more vulnerable to the effects of climate change than those combining two or more types of agricultural activities. Households that engaged in multiple farming enterprises such as mixing crops with livestock or fish farming were better prepared to cope with climate-related challenges. Additionally, households headed by younger or more educated individuals, with access to agricultural training and extension services, accessing credit, having membership in farming groups, and located closer to markets were generally less vulnerable. Based on these findings, the study recommends i) implementation of interventions that promote multi-enterprise farming and synergies to enable farmers to diversify risks, (ii) introducing affordable credit options for farmer households, facilitated through policy and other initiatives such as cooperatives, as means to reduce household vulnerability to climate change, and (iii) strengthening government meteorological and extension services to ensure timely and efficient dissemination of climate change-related information to farmers, facilitating the adoption of adaptation measures.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100578"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134048","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.2025.100586
Hadir Abdelmoneim , Sameh Ahmed Kantoush , Vahid Nourani , Mohamed Saber , Fahad Alamoudi
The city of Jeddah recently experienced severe flooding, significantly impacting the community. We employed data mining techniques such as classification and association rules to investigate the complex relationships between large-scale atmospheric teleconnections and extreme precipitation events in Jeddah. Our study focused on classifying and analyzing the surrounding sea surface temperatures (SSTs) of the Mediterranean, Red, Arabian, and Gulf seas, along with the Southern Oscillation Index (SOI), Oceanic Niño Index (ONI), and monthly precipitation data for Jeddah. This analysis aims to identify the most significant factors and extract important nonlinear features from long-term measured data from 1970 to 2024. We applied our approach to varying lag times and evaluated the accuracy of the results based on confidence values. The findings revealed hidden associations between detrended SSTs and major extreme precipitation events, including floods in November 2009, December 2010, and January 2011. An extracted rule revealed that the 2017 flood event was associated with the La Niña phenomenon, low detrending of SSTs in the Red and Arabian Seas, and very low detrending of Gulf SSTs concurrently. This approach could serve as a valuable tool for decision-makers, providing knowledge-driven insights to help mitigate the risk of flooding.
Practical implications
Flood disasters have become increasingly frequent and destructive due to the impacts of climate change, particularly in semiarid and arid regions such as the Kingdom of Saudi Arabia. The consequences of these events are significant, posing risks to human lives and leading to substantial economic losses. However, predicting floods in the region remains challenging, as precipitation is the primary driver of these disasters. Large-scale ocean-atmospheric teleconnections can influence hydroclimatic events across vast distances globally. Understanding the complex associations between these teleconnections and extreme precipitation is critical for the region. This study employed hybrid data mining techniques to explore the nonlinear relationships between extreme precipitation events and large-scale ocean-atmospheric signals, using Jeddah city as a case study. The results revealed several rules that shed light on the hidden nonlinear characteristics of extreme precipitation events and their connection to large-scale teleconnections.
Therefore, the practical implications of this study can be summarized as follows:
-
This approach can be a strong tool for decision-makers, allowing them to make informed, proactive decisions to mitigate extreme precipitation events.
-
Adaptation strategies to lessen the impacts of extreme hydroclimatic events in the region can be developed based on this research.
{"title":"Data mining application in unraveling the large-scale teleconnection and flood-inducing extreme precipitation events association in Jeddah City","authors":"Hadir Abdelmoneim , Sameh Ahmed Kantoush , Vahid Nourani , Mohamed Saber , Fahad Alamoudi","doi":"10.1016/j.cliser.2025.100586","DOIUrl":"10.1016/j.cliser.2025.100586","url":null,"abstract":"<div><div>The city of Jeddah recently experienced severe flooding, significantly impacting the community. We employed data mining techniques such as classification and association rules to investigate the complex relationships between large-scale atmospheric teleconnections and extreme precipitation events in Jeddah. Our study focused on classifying and analyzing the surrounding sea surface temperatures (SSTs) of the Mediterranean, Red, Arabian, and Gulf seas, along with the Southern Oscillation Index (SOI), Oceanic Niño Index (ONI), and monthly precipitation data for Jeddah. This analysis aims to identify the most significant factors and extract important nonlinear features from long-term measured data from 1970 to 2024. We applied our approach to varying lag times and evaluated the accuracy of the results based on confidence values. The findings revealed hidden associations between detrended SSTs and major extreme precipitation events, including floods in November 2009, December 2010, and January 2011. An extracted rule revealed that the 2017 flood event was associated with the La Niña phenomenon, low detrending of SSTs in the Red and Arabian Seas, and very low detrending of Gulf SSTs concurrently. This approach could serve as a valuable tool for decision-makers, providing knowledge-driven insights to help mitigate the risk of flooding.</div></div><div><h3>Practical implications</h3><div>Flood disasters have become increasingly frequent and destructive due to the impacts of climate change, particularly in semiarid and arid regions such as the Kingdom of Saudi Arabia. The consequences of these events are significant, posing risks to human lives and leading to substantial economic losses. However, predicting floods in the region remains challenging, as precipitation is the primary driver of these disasters. Large-scale ocean-atmospheric teleconnections can influence hydroclimatic events across vast distances globally. Understanding the complex associations between these teleconnections and extreme precipitation is critical for the region. This study employed hybrid data mining techniques to explore the nonlinear relationships between extreme precipitation events and large-scale ocean-atmospheric signals, using Jeddah city as a case study. The results revealed several rules that shed light on the hidden nonlinear characteristics of extreme precipitation events and their connection to large-scale teleconnections.</div><div>Therefore, the practical implications of this study can be summarized as follows:<ul><li><span>-</span><span><div>This approach can be a strong tool for decision-makers, allowing them to make informed, proactive decisions to mitigate extreme precipitation events.</div></span></li><li><span>-</span><span><div>Adaptation strategies to lessen the impacts of extreme hydroclimatic events in the region can be developed based on this research.</div></span></li></ul></div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100586"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242296","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.2025.100562
Adriana Keating , Stefan Hochrainer-Stigler , Reinhard Mechler , Finn Laurien , Naomi Rubenstein , Teresa Deubelli , Stefan Velev , Michael Szoenyi , David Nash
This paper reflects on learnings and analysis from an extensively globally applied, standardized community disaster resilience measurement framework that utilises bottom-up (locally collected) data. These lessons, from over a decade of on-the-ground work and analysis, are based on empirical evidence and have salience for scholars, policy-makers and practitioners aiming to strengthen community disaster resilience and apply bottom-up community disaster resilience measurement approaches. The Flood Resilience Measurement for Communities approach was co-designed and implemented by the Zurich Flood Resilience Alliance: a transdisciplinary science-policy-practice collaboration including scientists, practitioners and private business. It has been applied globally in approximately 400 communities worldwide, demonstrating the real-world impact of scalable community disaster resilience measurement initiatives. Findings provide evidence for the impacts and good practices of applying bottom-up community disaster resilience measurement approaches. Quantitative analysis on this unique dataset provides new entry points for research on typologies and dynamics of resilience, based on empirical evidence on human, social, physical, natural and financial dimensions. Based on our analysis, we find that the use of bottom-up, multidimensional, standardized community disaster resilience measurement approaches is a worthwhile endeavour to support community disaster resilience strengthening.
{"title":"Reflections on the large-scale application of a community resilience measurement framework across the globe","authors":"Adriana Keating , Stefan Hochrainer-Stigler , Reinhard Mechler , Finn Laurien , Naomi Rubenstein , Teresa Deubelli , Stefan Velev , Michael Szoenyi , David Nash","doi":"10.1016/j.cliser.2025.100562","DOIUrl":"10.1016/j.cliser.2025.100562","url":null,"abstract":"<div><div>This paper reflects on learnings and analysis from an extensively globally applied, standardized community disaster resilience measurement framework that utilises bottom-up (locally collected) data. These lessons, from over a decade of on-the-ground work and analysis, are based on empirical evidence and have salience for scholars, policy-makers and practitioners aiming to strengthen community disaster resilience and apply bottom-up community disaster resilience measurement approaches. The Flood Resilience Measurement for Communities approach was co-designed and implemented by the Zurich Flood Resilience Alliance: a transdisciplinary science-policy-practice collaboration including scientists, practitioners and private business. It has been applied globally in approximately 400 communities worldwide, demonstrating the real-world impact of scalable community disaster resilience measurement initiatives. Findings provide evidence for the impacts and good practices of applying bottom-up community disaster resilience measurement approaches. Quantitative analysis on this unique dataset provides new entry points for research on typologies and dynamics of resilience, based on empirical evidence on human, social, physical, natural and financial dimensions. Based on our analysis, we find that the use of bottom-up, multidimensional, standardized community disaster resilience measurement approaches is a worthwhile endeavour to support community disaster resilience strengthening.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100562"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820346","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.2025.100558
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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号