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Climate change threatens the distribution of Liriodendron chinense: Evidence from China 气候变化威胁鹅掌楸的分布:来自中国的证据
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100498
Tianning Zhang , Xiaofei Ma , Jie Li , Yuanyuan Li , Qi Chen , Changwang Zhang , Shenglei Fu
{"title":"Climate change threatens the distribution of Liriodendron chinense: Evidence from China","authors":"Tianning Zhang ,&nbsp;Xiaofei Ma ,&nbsp;Jie Li ,&nbsp;Yuanyuan Li ,&nbsp;Qi Chen ,&nbsp;Changwang Zhang ,&nbsp;Shenglei Fu","doi":"10.1016/j.cliser.2024.100498","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100498","url":null,"abstract":"<div><p>Studying the potential responses of protected species to global climate change is important for conserving biodiversity. The decline and dieback of <em>Liriodendron chinense</em> Sarg. (<em>L. chinense</em>), an ancient tree species with high ecological and economic value, have been observed in recent years. We aimed to explore the main environmental variables affecting this plant habitat and its future distribution using maximum entropy (MaxEnt). Bioclimatic variables derived from eight Coupled Model Intercomparison Project 6 models, combined with 363 species occurrence records, and multiple environmental factors, were used to predict the potential distribution of the species in the mid and late 21st century under shared socio–economic pathway (SSP) scenarios 126, 245, and 585. The MaxEnt model yielded an excellent performance with an area under the curve value of 0.95. Precipitation in the driest month was the greatest contributor (50.33 %) to habitat distribution, and the Human Influence Index provided indispensable environmental information for the prediction. The habitat loss area was the largest in SSP585-2090s (915,652 km<sup>2</sup>) and the smallest in SSP126-2090s (271,989 km<sup>2</sup>). In contrast, the gain area was the largest under SSP126-2090s (18,060 km<sup>2</sup>), which mainly occurred in the Yangtze River basin (10,625 km<sup>2</sup>). The SSP126 scenario was the most favorable pathway for the survival of <em>L. chinense</em>, with the most habitat area gained and the least habitat area lost, in which the habitat range showed a notable trend of northward migration in the 21st century. An extreme warming scenario will threaten the habitat of <em>L. chinense</em>, which will have sparse refuge mainly in the Yangtze River and Southeast River basins by the 2090s. These results provide a theoretical basis for developing policies to conserve <em>L. chinense</em> in the face of future climate change.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100498"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000530/pdfft?md5=3e2d71746f01e2bd87f2b661bcaf18bc&pid=1-s2.0-S2405880724000530-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141291143","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}
引用次数: 0
Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data 干旱易发城市的气候干旱事件预测:高分辨率下尺度 CMIP6 数据的启示
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100488
Xue Li , Rongrong Wei , Yaxiu Liu , Xiong Liu , Jian Sha , Man Zhang , Zhong-Liang Wang
{"title":"Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data","authors":"Xue Li ,&nbsp;Rongrong Wei ,&nbsp;Yaxiu Liu ,&nbsp;Xiong Liu ,&nbsp;Jian Sha ,&nbsp;Man Zhang ,&nbsp;Zhong-Liang Wang","doi":"10.1016/j.cliser.2024.100488","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100488","url":null,"abstract":"<div><p>This study investigated the drought trends, frequency, and duration in three drought-prone cities in Northwest China under various Shared Socioeconomic Pathways (SSPs) climate scenarios from 2015 to 2099. Utilizing a two-step downscaling method, we generated high-resolution (1 km) temperature and precipitation projections for the cities using multiple global climate model (GCM) data. The Standardized Precipitation Evapotranspiration Index (SPEI) was then calculated to assess drought conditions. Our results revealed that under the influence of global climate change, the 12-month SPEI exhibited a significant increasing trend for all three cities, indicating a shift towards a more humid climate. The influence of climate change on drought trends was more pronounced at higher latitudes. Additionally, the occurrence and duration of severe droughts (3-month SPEI &lt; -1.5) were higher in the near future (2015–2056) compared to the far future (2057–2099), suggesting time-lagged and cumulative effects of global climate change on drought. Spatial variations within each city were also observed, with the western mountainous regions of Xi'an showing a more pronounced decrease in drought frequency under higher emission scenarios. Under the influence of different projected scenarios, the variations in drought characteristics across cities exhibited significant spatial heterogeneity. This study highlights the importance of understanding local and inter-regional drought characteristics in the context of climate change, and the need for targeted management policies to effectively cope with climate anomalies and associated disasters in different regions.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100488"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000438/pdfft?md5=b4b0ed5bbfafec67dc0ce0464d3839f9&pid=1-s2.0-S2405880724000438-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140894347","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}
引用次数: 0
Spatial data infrastructure components to provide regional climate information services 提供区域气候信息服务的空间数据基础设施组件
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100473
Simeon Wetzel , Stephan Mäs , Lars Bernard , Ivan Vorobevskii , Rico Kronenberg
{"title":"Spatial data infrastructure components to provide regional climate information services","authors":"Simeon Wetzel ,&nbsp;Stephan Mäs ,&nbsp;Lars Bernard ,&nbsp;Ivan Vorobevskii ,&nbsp;Rico Kronenberg","doi":"10.1016/j.cliser.2024.100473","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100473","url":null,"abstract":"<div><p>The assessment of expected climate changes on a regional scale requires appropriate data and information products that must be easily accessible and usable for decision makers. The regional climate information platform ReKIS is a long-established project of three German federal states to address this purpose. However, with increasing content, this web-based data exchange platform lacked in suitable metadata descriptions, search functionalities and interoperability, thus hampering the discovery and access of suitable information. This paper describes the extending and enhancing of ReKIS using state-of-the-art components of Spatial Data Infrastructures (SDI). The components support metadata acquisition, maintenance and publishing using a metadata catalogue. The implementation of a WebGIS server increases interoperability by offering OGC-compliant services and a web framework for knowledge-transfer allows for non-expert access to climate services. The approaches were developed and implemented in a real-world scenario and are suitable for a transfer to other comparable platforms and use cases.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100473"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000281/pdfft?md5=e5accd9498911722bba3424f71de3f98&pid=1-s2.0-S2405880724000281-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140647128","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}
引用次数: 0
Turning climate-related information into added value for traditional Mediterranean grape, olive, and durum wheat food systems 将气候相关信息转化为地中海传统葡萄、橄榄和硬质小麦食品系统的附加值
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100462
Luigi Ponti, Alessandro Dell'Aquila, Matteo De Felice, Paolo Ruti, Bruno Basso, Andrew Paul Gutierrez, Sandro Calmanti, Antonio Graça, Javier López Nevado, Chiara Monotti
{"title":"Turning climate-related information into added value for traditional Mediterranean grape, olive, and durum wheat food systems","authors":"Luigi Ponti,&nbsp;Alessandro Dell'Aquila,&nbsp;Matteo De Felice,&nbsp;Paolo Ruti,&nbsp;Bruno Basso,&nbsp;Andrew Paul Gutierrez,&nbsp;Sandro Calmanti,&nbsp;Antonio Graça,&nbsp;Javier López Nevado,&nbsp;Chiara Monotti","doi":"10.1016/j.cliser.2024.100462","DOIUrl":"10.1016/j.cliser.2024.100462","url":null,"abstract":"","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100462"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000177/pdfft?md5=38a4dbfa40b1734474806d37d401b2d6&pid=1-s2.0-S2405880724000177-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140268750","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}
引用次数: 0
Determinants of farmers’ choice of adaptation strategies against climate variability and change: Lessons from central Tanzania in Manyoni district 农民选择气候多变性和气候变化适应战略的决定因素:坦桑尼亚中部 Manyoni 地区的经验教训
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100470
Samwel J. Kabote, Edward P. Mbwambo, Benedicto B. Kazuzuru
{"title":"Determinants of farmers’ choice of adaptation strategies against climate variability and change: Lessons from central Tanzania in Manyoni district","authors":"Samwel J. Kabote,&nbsp;Edward P. Mbwambo,&nbsp;Benedicto B. Kazuzuru","doi":"10.1016/j.cliser.2024.100470","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100470","url":null,"abstract":"<div><p>Farmers’ adaptation strategies against climate variability and change impact are fundamental in abating the effects in this epoch. Previous studies have confirmed the presence of context-specific farmers’ adaptation strategies in Tanzania. However, it is not clear what factors influence farmers to select specific adaptation strategies. This study contributes to filling this knowledge gap. We used the cross-sectional research design in a survey of a random sample of 330 small-scale farmers. The multivariate probit was used to model the factors determining the choice of adaptation strategies. Farmers adapted a number of strategies, nonetheless, there were four key adaptation strategies: drought-resistant varieties, use of early maturing varieties, resistant livestock breeds, and conservation agriculture. Farmers used more than one strategy, and the choice was determined by multiple factors that showed a statistically significant impact at 5 %. We categorize the factors into four groups: (i) individual farmer and or household characteristics covering age, farming experience of the household head; household size; and household wealth, especially livestock ownership (ii) farm characteristics like location of the farm and farm size (iii) institutional factors that include access to extension services, technology, and provision of title deeds for land ownership to the farmers; and (iv) knowledge of manifestation of CV &amp; C like shifting of rain seasons, and awareness of using meteorological information in decision making. These factors should be considered in policy development to heighten the effectiveness of the adaptation strategies in cushioning climate variability and change impact in the study area and central Tanzania at large.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100470"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000256/pdfft?md5=81618a52a29c806b2ef6edc1a8e3a7bc&pid=1-s2.0-S2405880724000256-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140350931","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}
引用次数: 0
The heat and health in cities (H2C) project to support the prevention of extreme heat in cities 支持预防城市极端高温的城市高温与健康(H2C)项目
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100472
A. Lemonsu , J.M. Alessandrini , J. Capo , M. Claeys , E. Cordeau , C. de Munck , S. Dahech , J.C. Dupont , F. Dugay , V. Dupuis , G. Forceville , S. Garrigou , O. Garrouste , M. Goret , S. Goria , M. Haeffelin , S. Host , C. Joly , P. Keravec , S. Kotthaus , J. Wurtz
{"title":"The heat and health in cities (H2C) project to support the prevention of extreme heat in cities","authors":"A. Lemonsu ,&nbsp;J.M. Alessandrini ,&nbsp;J. Capo ,&nbsp;M. Claeys ,&nbsp;E. Cordeau ,&nbsp;C. de Munck ,&nbsp;S. Dahech ,&nbsp;J.C. Dupont ,&nbsp;F. Dugay ,&nbsp;V. Dupuis ,&nbsp;G. Forceville ,&nbsp;S. Garrigou ,&nbsp;O. Garrouste ,&nbsp;M. Goret ,&nbsp;S. Goria ,&nbsp;M. Haeffelin ,&nbsp;S. Host ,&nbsp;C. Joly ,&nbsp;P. Keravec ,&nbsp;S. Kotthaus ,&nbsp;J. Wurtz","doi":"10.1016/j.cliser.2024.100472","DOIUrl":"10.1016/j.cliser.2024.100472","url":null,"abstract":"","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100472"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240588072400027X/pdfft?md5=7b543f290397f483ae98e6bd30c3e576&pid=1-s2.0-S240588072400027X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140794337","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}
引用次数: 0
Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria – Agricultural Risk Information System ARIS 基于网格的奥地利农业气象指标种植条件和风险监测与预报系统 - 农业风险信息系统 ARIS
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100478
Josef Eitzinger , Voiko Daneu , Gerhard Kubu , Sabina Thaler , Mirek Trnka , Andreas Schaumberger , Stefan Schneider , Thi Mai Anh Tran
{"title":"Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria – Agricultural Risk Information System ARIS","authors":"Josef Eitzinger ,&nbsp;Voiko Daneu ,&nbsp;Gerhard Kubu ,&nbsp;Sabina Thaler ,&nbsp;Mirek Trnka ,&nbsp;Andreas Schaumberger ,&nbsp;Stefan Schneider ,&nbsp;Thi Mai Anh Tran","doi":"10.1016/j.cliser.2024.100478","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100478","url":null,"abstract":"<div><p>ARIS (Agricultural Risk Information System) is a GIS (Geographical Information System)-based modelling system (applicable for hind-casting, weather observations and forecasting as well as climate scenario projections) for a number of weather-related abiotic and biotic cropping risks, crop management and growing conditions. In our study we demonstrate and describe the functionality and characteristics of ARIS on Austrian conditions and domain. ARIS indicators can be applied for different time periods on a daily base and a spatial grid of 1 km for weather/climate conditions (0,5 km for soil conditions based on the available Austrian soil map). The currently implemented indicators for general cropping conditions or risks are based on daily weather variables, partly combined with soil wetness, regardless other potential (not weather related) limitations. Crop specific risk indicators are based on algorithms for phenological development of currently 5 main crops and include especially the soil-crop water balance and combined drought and heat stress effects. Biotic indicators include pests and diseases of importance for Austrian conditions. ARIS allows the combined assessment of abiotic and biotic risks during crop growing seasons and thus provides a wide set of information for decision support or strategic planning for stakeholders in the agricultural sector. The system has the potential to be adapted for diverse agroecosystems or be extended by further weather related abiotic or biotic indicators or crop types, if the necessary (grid based) input data formats are available.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100478"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000335/pdfft?md5=03112e62c640f52503727faa0097b810&pid=1-s2.0-S2405880724000335-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140825890","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}
引用次数: 0
Smallholder farmers’ perceived motivations for the adoption and implementation of climate information services in the Atwima Nwabiagya District, Ghana 加纳 Atwima Nwabiagya 地区小农对采用和实施气候信息服务的认知动机
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100482
Frank Baffour-Ata, Louisa Boakye, Kenneth Asare Okyere, Benedicta Boatemaa Boafo, Sylvia Amaniampong Ofosuhene, Audrey Owusu Tawiah, Isaac Odei, Selima Woriya Watara
{"title":"Smallholder farmers’ perceived motivations for the adoption and implementation of climate information services in the Atwima Nwabiagya District, Ghana","authors":"Frank Baffour-Ata,&nbsp;Louisa Boakye,&nbsp;Kenneth Asare Okyere,&nbsp;Benedicta Boatemaa Boafo,&nbsp;Sylvia Amaniampong Ofosuhene,&nbsp;Audrey Owusu Tawiah,&nbsp;Isaac Odei,&nbsp;Selima Woriya Watara","doi":"10.1016/j.cliser.2024.100482","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100482","url":null,"abstract":"<div><p>This study investigated smallholder farmers’ perceived motivations for the adoption and implementation of climate information services (CIS) in the Atwima Nwabiagya District, Ghana. Specifically, the study answered the following research questions. (i) What is the perception of smallholder farmers on climate change and variability in the Atwima Nwabiagya District?; (ii) What are the CIS accessed and used by the smallholder farmers for farm management decisions?; (iii) What are the perceived motivations for the adoption and implementation of CIS by smallholder farmers?; and; (iv) What are the barriers confronting smallholder farmers in adopting and implementing CIS? Primary data was collected through questionnaire surveys with 200 farming households and four key informant interviews in four selected communities (Kobeng, Seidi, Wioso, and Nkawie Panin) in the study district. Results showed that smallholder farmers perceived climate change and variability through increased windstorms and thunderstorms, variable rainfall, and increased temperature patterns. The surveyed farmers also perceived that the climatic changes affect their agricultural activities adversely. However, the smallholder farmers accessed and used CIS including weather warnings (86%), daily weather forecasts (70%), and seasonal forecasts (60%) to manage climatic risks on the farm. Results also showed that the smallholder farmers were motivated by critical factors including improvement in the acquisition of proactive measures (92%), increased knowledge of climatic patterns that affect food stock (91%), and a reduction in loss of stock produced (88%) to access and use CIS. Despite this, the smallholder farmers were confronted with key barriers in their uptake and utilization of CIS. These were the timeliness of CIS (73%), a lack of weather symbols in the forecasts (65%), and inadequate information on seasonal forecasts for long-term planning (61%). The study concluded that the motivations for smallholder farmers using CIS in the study district may vary depending on their context, goals, and challenges. However, the general motivation is to enhance smallholder farmers’ farm planning and risk management by using weather and climate forecasts to make better decisions on crop selection, planting dates, input use, pest and disease control, irrigation, harvesting, and marketing.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100482"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000372/pdfft?md5=cd49c7496027040975443254cc981e42&pid=1-s2.0-S2405880724000372-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140843358","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}
引用次数: 0
Exploring the impact of ambient temperature on respiratory diseases admissions, length of Stay, and hospitalization costs in Lanzhou City, based on distributed lag non-linear model 基于分布滞后非线性模型探讨环境温度对兰州市呼吸系统疾病入院人数、住院时间和住院费用的影响
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100481
Xusong Zhang , Ke Xu , Qian Li, Anning Zhu, Jingze Yu, Miaoxin Liu, Jiyuan Dong, Rentong Chen, Li Ma, Ye Ruan
{"title":"Exploring the impact of ambient temperature on respiratory diseases admissions, length of Stay, and hospitalization costs in Lanzhou City, based on distributed lag non-linear model","authors":"Xusong Zhang ,&nbsp;Ke Xu ,&nbsp;Qian Li,&nbsp;Anning Zhu,&nbsp;Jingze Yu,&nbsp;Miaoxin Liu,&nbsp;Jiyuan Dong,&nbsp;Rentong Chen,&nbsp;Li Ma,&nbsp;Ye Ruan","doi":"10.1016/j.cliser.2024.100481","DOIUrl":"https://doi.org/10.1016/j.cliser.2024.100481","url":null,"abstract":"<div><p>This study was to explore the relationships between daily mean temperature and hospital admissions, length of stay and hospitalization costs for respiratory diseases, and to estimate the risk effects and burden of disease. A time-series analysis was conducted by distributed lag non-linear model (DLNM) to explore the exposure-lag-response relationships between daily mean temperature and hospital admissions, length of stay, and hospitalization costs for respiratory diseases. The total cumulative exposure between the daily admissions, length of stay and hospitalization costs of respiratory diseases and the daily mean temperature showed significant nonlinear relationships, all with a shape approximately “W”. Extremely low temperature presented the greatest risk to respiratory diseases of admissions, length of stay and hospitalization costs, with the relative risks of 1.66 (95 % CI:1.32–2.09), 1.71 (95 % CI:1.33–2.20), 2.09 (95 % CI:1.53–2.84), respectively. The risks caused by low temperatures have delayed effect, capable of generating higher risks within lag 21 days. In contrast, the effects of high temperatures on the three outcomes only in the short term. The relative risks of exposure to extremely cold weather for elderly patients were the greatest, which were 2.47 (95 % CI:1.89–3.24), 2.11 (95 % CI:1.58–2.81) and 2.59 (95 % CI:1.81–3.70), respectively. In Lanzhou city, both low and high temperatures posed a certain risk to the hospital admissions, length of stay and hospitalization costs of respiratory diseases. Cold temperature exposure is the main risk factor to increase the risks of the three outcomes, and its risks have significant lag effect. Elderly patients are vulnerable to cold temperature exposure.</p></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"34 ","pages":"Article 100481"},"PeriodicalIF":3.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405880724000360/pdfft?md5=88e48287c4344d0853f09570c9b6eccb&pid=1-s2.0-S2405880724000360-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140909868","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}
引用次数: 0
Assessing the usability and value of a climate service in the wine sector 评估葡萄酒行业气候服务的可用性和价值
IF 3.2 3区 环境科学与生态学
Climate Services Pub Date : 2024-04-01 DOI: 10.1016/j.cliser.2024.100496
Fatemeh Khosravi , Marta Bruno Soares , Marta Teixeira , Natacha Fontes , Antonio Graca
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