Climate Services最新文献

{"title":"Valuation of Climate Services for Viticulturists: Tackling fungal diseases","authors":"Christine Nam ,&nbsp;Laura Teresa Massano ,&nbsp;Antonio Graca ,&nbsp;Rossana Cotroneo ,&nbsp;Alessandro Dell’Aquila ,&nbsp;Federico Caboni","doi":"10.1016/j.cliser.2024.100456","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100456","url":null,"abstract":"<div><p>Viticulturists developing adaptation strategies to mitigate the impact of climate change, which affects a grapevine’s physiology and wine typicity, can benefit from climate services. Climate services translate physically based variables, such as temperature and precipitation, into actionable, decision relevant bioclimatic indicators, such as Spring Rain, Heat Stress Days, and Warm Spell Duration. These bioclimatic indicators enable the mitigation of fungal diseases, specifically downy and powdery mildew, as well as sunburn. Accurate seasonal forecasts of these bioclimatic indicators can help farmers with viticulture, labor, and stock management, as well as improve the yield and value of wine-quality grapes. Seasonal forecasts of these indicators are available on the MED-GOLD project’s dashboard. This study determines an annual service fee to access these forecasts on the dashboard. The annual fee accounts for the seasonal forecast accuracy over part of the Douro wine region of Portugal, as well as the potential savings and losses of micro (<span><math><mrow><mo>⩽</mo></mrow></math></span>1 ha) holding grape growers. The revenue generated from this climate service fee exceeds the cost of dashboard maintenance by nearly 10 times, even with a fee which is less than half of the potential savings of the micro holding farmer.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100456"},"PeriodicalIF":3.2,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000116/pdfft?md5=b6e152c6630903d8b87c60429e1dd607&pid=1-s2.0-S2405880724000116-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992444","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}

{"title":"Prospective regional analysis of olive and olive fly in Andalusia under climate change using physiologically based demographic modeling powered by cloud computing","authors":"Luigi Ponti ,&nbsp;Andrew Paul Gutierrez ,&nbsp;Christos Giannakopoulos ,&nbsp;Konstantinos V. Varotsos ,&nbsp;Javier López Nevado ,&nbsp;Silvia López Feria ,&nbsp;Freddy Wilmer Rivas González ,&nbsp;Federico Caboni ,&nbsp;Federica Stocchino ,&nbsp;Adolfo Rosati ,&nbsp;Damiano Marchionni ,&nbsp;José Ricardo Cure ,&nbsp;Daniel Rodríguez ,&nbsp;Marta Terrado ,&nbsp;Matteo De Felice ,&nbsp;Alessandro Dell'Aquila ,&nbsp;Sandro Calmanti ,&nbsp;Ricardo Arjona ,&nbsp;Michael Sanderson","doi":"10.1016/j.cliser.2024.100455","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100455","url":null,"abstract":"<div><p>The Spanish region of Andalusia is the world-leading olive oil producer. Its olive-dominated landscapes are among the most biodiverse drylands of the globe and prospectively among the areas most affected by climate change. This analysis used physiologically based demographic modeling (PBDM) to assess the impact of climate change on the olive/olive fly system of Andalusia. The analysis was implemented on cloud computing, allowing PBDM models to be run from any computer connected to the internet, to interface with state-of-the-art climatic drivers, and to scale efficiently with increasing computational loads and user requests. Findings include that chilling required for olive blooming will decrease in large areas of the Andalusian provinces of Jaen, Cordoba, and Sevilla, with some areas not meeting the minimum chilling threshold and some accumulating no chilling by the end of the century under the high greenhouse gas (GHG) emission scenario. Olive blooming will occur up to five weeks earlier in the Jaen, Cordoba, Sevilla, and Granada provinces, but olive yield is expected to increase or remain stable. Olive fly infestation will decrease with climate change, with infestations below the reference economic threshold of 4 % towards the end of the century in some areas under high GHG emission scenario. Measures to adapt Andalusian olive systems to climate change include: selecting olive cultivars with lower chilling requirements; implementing cover crops to enhance water use efficiency under increased CO₂ concentration and uncertain precipitation projections; and targeting the spring generation of the fly and diversifying the olive landscape to reduce infestation levels.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100455"},"PeriodicalIF":3.2,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000104/pdfft?md5=e2cf5180c28427403c6c685b1553854e&pid=1-s2.0-S2405880724000104-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139942152","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}

{"title":"Practitioner needs to adapt to Sea-Level Rise: Distilling information from global workshops","authors":"Daniella Hirschfeld ,&nbsp;Ray Boyle ,&nbsp;Robert J. Nicholls ,&nbsp;David Behar ,&nbsp;Miguel Esteban ,&nbsp;Jochen Hinkel ,&nbsp;Gordon Smith ,&nbsp;David J. Hanslow","doi":"10.1016/j.cliser.2024.100452","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100452","url":null,"abstract":"<div><p>Climate-induced sea-level rise threatens the world’s coastal populations, critical infrastructure, and ecosystems. The science of sea-level rise (SLR) has developed to inform understanding of global climate mitigation and adaptation challenges, but there is much less engagement with practitioners to discern their climate services needs and support the development of adaptation planning and action on the ground. In addition, adaptation planning and implementation processes for SLR are relatively new and practitioners developing leading practices are seeking interaction with their peers and the SLR science community. To address these gaps, we co-produced online global workshops with sixty-nine practitioners from twenty-six countries. These workshops aimed to increase understanding of the state of SLR adaptation planning practice worldwide, gather information on practitioners' existing knowledge and service needs to advance their adaptation efforts, and facilitate exchange between practitioners engaged with coastal adaptation and the SLR science community. The workshops uncovered commonalities across contexts and identified consistent needs from scientists and other technical experts amongst the practitioner community. These needs include generating more localized SLR impact data, understanding of compound risk, creating data timelines for decision making, and developing clarity about uncertainties and probabilities. We also observed important differences between urban and rural locations and between places with different economic resources. To meet their needs, practitioners identified three crucial next steps: 1) Develop more online engagement opportunities, 2) Establish a global practitioner community of practice, and 3) Scale and improve the provision of climate services.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100452"},"PeriodicalIF":3.2,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000074/pdfft?md5=5ac40aab67314f1a84daf0736c77e138&pid=1-s2.0-S2405880724000074-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139942151","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}

{"title":"Sub-seasonal to seasonal (S2S) prediction of dry and wet extremes for climate adaptation in India","authors":"Iqura Malik ,&nbsp;Vimal Mishra","doi":"10.1016/j.cliser.2024.100457","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100457","url":null,"abstract":"&lt;div&gt;&lt;p&gt;Extreme climatic events have considerable impacts on society, and their prediction is an essential tool for climate change adaptation. A reliable forecast of dry and wet extremes is crucial for developing an early warning system and decision-making in agriculture and water resources. Sub-seasonal to seasonal (S2S) forecasts can be valuable for climate adaptation in water resource and agriculture sectors due to their extended range forecast ability and accessibility of different hydrometeorological products. However, the utility of these S2S models’ forecasting capabilities is limited to a certain lead time, rendering them unsuitable for decision-making. We comprehensively examined the prediction skill of nine global S2S prediction models for precipitation and dry and wet extremes over India during the summer monsoon season (June to September). We find that ECCC, NCEP, and UKMO perform better than the other S2S models in predicting dry and wet extremes during the summer monsoon (June-September) in India. Our findings show that the better-performing S2S forecast models can be used to predict wet and dry extreme events several weeks ahead during the summer monsoon season. The extended range forecast system (ERFS), which is currently operational in India, provides better forecast skills for dry and wet extremes than most of the S2S models. However, S2S models provide an extended lead time forecast compared to ERFS. Therefore, a combination of ERFS and better-performing S2S models can be utilized in the early warning of dry and wet extremes at longer lead times.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Practical Implications&lt;/h3&gt;&lt;p&gt;India has witnessed climate-related catastrophes over the past few decades that, include flooding and droughts. There is a strong need to develop tools that can provide early warning of weather and climate extremes and help in climate adaptation. Climate services and climate change adaptation need reliable forecast products at seasonal to sub-seasonal scales. Recently, sub-seasonal forecasts bridged the gap between short-range and long-range forecasts and are critical for informed decision-making in India's agricultural and disaster risk reduction sectors. We utilized S2S precipitation forecasts from various forecasting centers around the world to comprehensively examine their utility in India.&lt;/p&gt;&lt;p&gt;Several critical implications are associated with the findings. First, we evaluated the forecasting skill of S2S models in predicting rainfall at different regions and months of the summer monsoon season. The forecast skill of meteorological forecast varies substantially in different regions and lead times. The forecast skill weakens with the increase in forecast lead time. An improved forecast skill during the summer monsoon onset and cessation could be valuable for planning agricultural activities and water resources.&lt;!--&gt; &lt;!--&gt;In addition, we identify the regions and times where these models do not perform well and where steps can be taken","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100457"},"PeriodicalIF":3.2,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000128/pdfft?md5=86f44534c5408d5126f5bad67f24d662&pid=1-s2.0-S2405880724000128-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945001","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}

{"title":"Co-designed agro-climate indicators identify different future climate effects for grape and olive across Europe","authors":"Andrej Ceglar ,&nbsp;Chenyao Yang ,&nbsp;Andrea Toreti ,&nbsp;João A. Santos ,&nbsp;Massimiliano Pasqui ,&nbsp;Luigi Ponti ,&nbsp;Alessandro Dell'Aquila ,&nbsp;António Graça","doi":"10.1016/j.cliser.2024.100454","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100454","url":null,"abstract":"<div><p>Co-design processes involving the scientific community, practitioners, end users and stakeholders can efficiently characterize harmful weather events during the growing season that potentially result in losses of crop yield and quality. This study builds on the experience of the EU Horizon 2020 project MED-GOLD for grape and olive. The identified agro-climate indicators are extended from the MED-GOLD regions to the entire ones where grape and olive are currently grown in Europe and Turkey, and used to assess climate change impacts with intrinsic adaptation relevance stemming from the co-design process. Before 2000, only a low fraction of the European grape and olive growing areas was exposed to extreme weather events as revealed by the agro-climate indicators, but this has changed rapidly afterward. Projections show increasingly widespread extreme high temperature events from 2020 to 2080. Approximately one-third of grapevine regions and over half of olive cultivation areas are expected to experience extreme drought conditions. Additionally, the frequency of compound extreme events will increase in the future, especially in the Mediterranean region and under the high-end emission scenario RCP8.5. This outcome calls for a new decision-making mindset that embeds expected levels of climate variability and extremes as the “new normal” for grape and olive in Europe. This will facilitate deployment of the required biophysical, economic and policy adaptation tools.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100454"},"PeriodicalIF":3.2,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000098/pdfft?md5=250654602fd5c864e12d72e3a1afb88c&pid=1-s2.0-S2405880724000098-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945224","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}

{"title":"Constructing A Climate-Smart readiness index for smallholder farmers: The case of prioritized bundles of climate information services and climate smart agriculture in Ghana","authors":"Osman Tahidu Damba ,&nbsp;Collins Odhiambo Ageyo ,&nbsp;Fred Kizito ,&nbsp;Powell Mponela ,&nbsp;Stephen Yeboah ,&nbsp;Victor Attuquaye Clottey ,&nbsp;Birgitta Adoma Oppong-Mensah ,&nbsp;Jules Bayala ,&nbsp;Faustina Obeng Adomaa ,&nbsp;Mustapha Alasan Dalaa ,&nbsp;Francisca Martey ,&nbsp;Sophia Huyer ,&nbsp;Robert Zougmore ,&nbsp;Ghislain Tepa-Yotto ,&nbsp;Manuele Tamò","doi":"10.1016/j.cliser.2024.100453","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100453","url":null,"abstract":"<div><p>Issues around bundling of climate smart agriculture (CSA) and climate information services (CIS) have been kept relatively distinct whereas in reality, they are more impactful when integrated. Using the case of the Accelerating Impacts of CGIAR Climate Change Research in Africa (AICCRA) Project that emphasizes bundling as a critical component of research in development, six regions of Ghana were purposively selected based on the identified value chain crops for implementation. 120 respondents including practicing farmers and advisors as reference, rated contributions of 21 innovations to 25 climate smartness indicators. These include gender, youth and social inclusion (GSI), enabling environment (EE), ability to enhance soil, water, crop and animal health (One-Health Achievement) (OHA), end-user friendliness (EUF) and climate smart agriculture (CS) for prioritization, bundling and ultimately to construct a Climate Smart Readiness Index (CSRI). There was a high level of concordance between the ratings of farmers and advisors on the Climate Smartness; moderate concordance on OHA and a lower concordance on GSI. The CS and EUF had a significant and same agreement among farmers while EE had a substantial same agreement among advisors. These elements (CS, GSI, OHA, EUF, EE) formed an integral part of the CSRI construct confirmed by the Fornell-Larcker and the Heterotrait-Monotrait criteria. While OHA was the fundamental factor in determining CSRI for farmers, EE was considered more important by the advisors. CSRI informs policy makers and agricultural practitioners on appropriate bundling of CSA and CIS practices to generate evidence for farmer preparedness in the context of resilience, productivity, adaptation, and mitigation.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100453"},"PeriodicalIF":3.2,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000086/pdfft?md5=0a862d52f67fae94bf48fa97d82afb09&pid=1-s2.0-S2405880724000086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139937034","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}

{"title":"Building design in a changing climate – Future Swiss reference years for building simulations","authors":"Kathrin Wehrli ,&nbsp;Franz Sidler ,&nbsp;Stefanie Gubler ,&nbsp;Gianrico Settembrini ,&nbsp;Markus Koschenz ,&nbsp;Silvia Domingo Irigoyen ,&nbsp;Sven Kotlarski ,&nbsp;Andreas M. Fischer ,&nbsp;Gerhard Zweifel","doi":"10.1016/j.cliser.2024.100448","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100448","url":null,"abstract":"<div><p>With global climate change, temperatures in Switzerland are projected to rise in the coming decades, according to the national climate scenarios CH2018. Associated with the mean temperature increase, heatwaves are expected to become longer, more frequent, and more intense. The changing climate will affect the indoor climate as well as heating and cooling needs. In building design, these climatic changes have to be planned for today in order to ensure a comfortable indoor climate in the future.</p><p>In collaboration with practitioners, a reference climate data set for the future is created that specifically targets building designers and engineers. The data set consists of hourly weather data of one-year length based on the Swiss climate change scenarios CH2018. These future reference years are representative of two time periods in the future: one around 2030 and one around 2060. Climate change uncertainty is considered by using two emission scenarios (RCP2.6 and RCP8.5). Reference data for the future is provided not only for a typical year (called Design Reference Year, or DRY) but also for an above-average warm summer. The data is available at the sites of 45 measurement stations across Switzerland, including four stations inside major cities to take the urban heat island effect into account.</p><p>The generated climate data set is applied to a building model to provide an application example. The results point out that the cooling needs will substantially increase, which is why an adaptation of the building design to the changing climate is vital.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100448"},"PeriodicalIF":3.2,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000037/pdfft?md5=46441a67bdb6a9846575f73d49f8d126&pid=1-s2.0-S2405880724000037-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139744076","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}

{"title":"Analysis of spatio-temporal precipitation and temperature variability and trend over Sudd-Wetland, Republic of South Sudan","authors":"Tadesse Terefe Zeleke ,&nbsp;Andu Zakaria Wani Lukwasa ,&nbsp;Kassahun Ture Beketie ,&nbsp;Desalegn Yayeh Ayal","doi":"10.1016/j.cliser.2024.100451","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100451","url":null,"abstract":"<div><p>The Sudd Wetland, which supports millions of pastoralists and farmers, as well as the internationally renowned Ramsar Wetland, are under pressure from population growth and climate change extremes such as flooding and drought. Using the Climate Hazards Group Infrareds Precipitation with Station (CHIRPS) and Climate Research Unit (CRU-TS4.06) datasets, this study investigates the spatiotemporal trend and variability of precipitation and temperature. As a result, descriptive statistics were used to describe the spatiotemporal behavior of precipitation and temperature. The Rotated Empirical Orthogonal Function (REOF) was used to detect the spatiotemporal variability of precipitation. The Pearson correlation method was used to investigate the relationship between Sea Surface Temperature (SST) and precipitation. The results revealed that Sudd-wetland receives 910 mm mean spatial annual precipitation and experienced 36 °C mean annual temperature with high spatio-temporal variations. It receives the highest precipitation in summer season followed by autumn and spring. The precipitation amount decreases towards the north in all seasons. In both the summer and winter seasons, observed rainfall variability corresponds substantially to ENSO variability, whereas the spring and autumn seasons are more connected with Atlantic and Indian Ocean Sea surface temperature gradients. The Sudd wetland has been affected by prolonged drought and frequent flood events alternatively. The prolonged drought linking with the shrinking of the wetland are potential threats to the farmers and pastoralists to adapt the changing climate. Hence, it is imperative to systematically analyze the wetland ecosystem from different dimensions and adjust the livelihood settings of the people in to less climate sensitive activities. Therefore, we suggest in depth drought and flood risk evaluation and implementation of realistic adaptation strategy to sustain the ecological and economic benefit of the wetland.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100451"},"PeriodicalIF":3.2,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000062/pdfft?md5=f09defecc5f36637e5a94824022323af&pid=1-s2.0-S2405880724000062-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139714089","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}

{"title":"Changes in universal thermal climate index from regional climate model projections over European beaches","authors":"Christine Nam,&nbsp;Ludwig Lierhammer,&nbsp;Lars Buntemeyer,&nbsp;Prosper Evadzi,&nbsp;David Cabana,&nbsp;Louis Celliers","doi":"10.1016/j.cliser.2024.100447","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100447","url":null,"abstract":"<div><p>Millions of people travel to European beaches making beach tourism the largest tourism sector. Understanding how person’s thermal comfort changes with projected climate change, which is paramount in deciding where and when to visit, can help the tourism sector mitigate risk and identify opportunities. Sustainable adaptation strategies for coastal tourism can be developed for different regional changes. This work calculates the Universal Thermal Comfort Index (UTCI), a comprehensive assessment of the human physiological response to the thermal environment, from an ensemble of regional climate models participating in EURO-CORDEX. Under Representative Concentration Pathways (RCP) 8.5, the ensemble’s projections of the UTCI in the near- and far-future, compared to a historical reference period, show a robust and statistically significant increase across the entire EURO-CORDEX domain. Four popular beach regions in Germany, Italy, France, and Spain show the beach season can be extended - starting earlier and ending later each year. Across the Mediterranean, July and August exhibit, on average, 4 more days of ‘very strong’ heat stress and 1 day of ‘extreme’ heat stress at the end of the century. In accordance with FAIR data science principles, the UTCI calculation is available in the xclim open-source python library.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100447"},"PeriodicalIF":3.2,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000025/pdfft?md5=95189dae282743fa86db36c4c68ad502&pid=1-s2.0-S2405880724000025-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139710175","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}

{"title":"Targeting smallholder farmers for climate information services adoption in Africa: A systematic literature review","authors":"Rejoice S. Nyoni ,&nbsp;Guillaume Bruelle ,&nbsp;Regis Chikowo ,&nbsp;Nadine Andrieu","doi":"10.1016/j.cliser.2024.100450","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100450","url":null,"abstract":"<div><p>Seventy percent of smallholder farmers in Africa depend on rainfed farming systems, making them vulnerable to climate variability and extremes. Climate information services (CIS) adoption by smallholder farmers in Africa presents a promising solution for adaptation to climate variability. This paper unravels the complexities around climate services for smallholder farmers and explores opportunities to tailor CIS for the resources of smallholder farmers. We use a systematic literature review approach to assess how the human, social, physical/technical, natural and financial capitals may affect awareness, access and use of CIS by smallholder farmers. The study is based on 33 papers from Africa. Majority of the studies gave emphasis on education, information communication and technology literacy levels and advisory services as influencing CIS access, use and uptake. The results highlight that better resourced smallholder farmers have higher access and are more likely to adopt CIS. The human capital emerged as an important component of CIS adoption as it directly determines how the farmer makes decisions on the farm. The natural capital determines the specific preference for CIS when the financial and economic capitals enable farmers acting according to the information received. The social capital provides a basis for farmers to benefit from compounded resources. Thus, the livelihood resource capitals of the target farmers must be considered in CIS information production and dissemination to improve the chances of CIS adoption by vulnerable groups that is illiterate, women, elderly, farmers in agroecological zones prone to climate extremes and poorly resourced farmers.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100450"},"PeriodicalIF":3.2,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000050/pdfft?md5=042643e780b632425fd9f5d243929fb0&pid=1-s2.0-S2405880724000050-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139710227","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}