Data for "Weaving scientific and local knowledge on climate change impacts in coastal Kenya, Western Indian Ocean"

This data supports the study titled ""Weaving scientific and local knowledge on climate change impacts in coastal Kenya, Western Indian Ocean" and published in <i>Environmental Science &amp; Policy </i>in October 2024.This study aimed to explore local knowledge on climate change impacts and its relation to scientific knowledge through a gendered approach and focusing on the Western Indian Ocean region, and more specifically on Kenya. We used a mixed-method approach for data collection and analysis, combining qualitative and quantitative research methods. We collected <i>i)</i> secondary data from the scientific literature, <i>ii)</i> meteorological, and <i>iii)</i> primary data on reports of local indicators of climate change impacts. The data provided include :<b>Secondary data from the scientific literature: </b>We selected publications using a topical search (in title, abstract, and keywords) in Web of Science® Core Collection. We used two search strings that were general but included variation: TOPIC: “climate chang*” AND TOPIC: “Western Indian Ocean”. Our search did not include any temporal restriction and returned 298 publications. We used two inclusion criteria to select the publications to be reviewed: i) providing an analysis at the WIO level by considering at least two WIO countries; and ii) examining climate change impacts on coastal SES.<b>Meteorological data </b><b>for the period 1991–2018</b>: we obtained this data from the Kenya Meteorological Department for the Kwale county. We focused on three main measurements that were openly accessible: <i>i)</i> daily minimum temperature; <i>ii)</i> daily maximum temperature; and <i>iii)</i> daily mean rainfall. This meteorological data at the county level is obtained from the Enhancing National Climate Services ENACTS approach, which aims to provide African countries with quality datasets for meteorological and climate studies.<b>Individual reports of local indicators of climate change impacts</b> : We collected primary data on local reports of climate change impacts using the Local Indicators of Climate Change Impacts data collection protocol (hereafter “LICCI Protocol”) (Reyes-García et al., 2023). This data was collected over five months, from November 2021 to April 2022.<b>Reference:</b>Reyes-García et al., 2023. V. Reyes-García, S. Álvarez-Fernández, P. Benyei, D. García-del-Amo, A.B. Junqueira, V. Labeyrie, <i>et al.</i>Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocolPloS ONE, 18 (1) (2023), Article e0279847, 10.1371/journal.pone.0279847

本数据集支撑2024年10月发表于《Environmental Science & Policy》（环境科学与政策）的题为《Weaving scientific and local knowledge on climate change impacts in coastal Kenya, Western Indian Ocean》（肯尼亚沿海、西印度洋地区气候变化影响的科学知识与本土知识融合研究）的学术研究。本研究以性别视角为切入点，聚焦西印度洋区域，特别是肯尼亚沿海地区，旨在探索气候变化影响相关的本土知识及其与科学知识的关联。研究采用混合研究方法开展数据采集与分析，整合定性与定量研究手段。本次公开的数据包括：一、科学文献二手数据：通过在Web of Science®核心合集（Web of Science® Core Collection）的标题、摘要及关键词字段开展主题检索筛选文献。使用两组通用且涵盖变体形式的检索式："climate chang*" AND "Western Indian Ocean"。本次检索未设置时间限制，共返回298篇文献。采用两项纳入标准筛选待综述的文献：1）开展西印度洋区域层面分析，至少涵盖两个西印度洋国家；2）聚焦气候变化对沿海社会-生态系统（SES）的影响。二、1991年至2018年县级气象数据：数据源自肯尼亚气象局，针对夸莱县（Kwale county）采集。重点关注三项公开可获取的气象指标：1）每日最低气温；2）每日最高气温；3）每日平均降雨量。本次县级尺度气象数据采用"提升国家气候服务（Enhancing National Climate Services, ENACTS）"方法获取，该方法旨在为非洲国家提供高质量的气象与气候研究数据集。三、气候变化影响本土指标的个体报告一手数据：采用《气候变化影响本土指标数据采集规程》（以下简称“LICCI规程”，Local Indicators of Climate Change Impacts data collection protocol）（Reyes-García等，2023），采集气候变化影响本土报告的一手数据。本次数据采集周期为2021年11月至2022年4月，共计5个月。参考文献：Reyes-García等，2023。V. Reyes-García、S. Álvarez-Fernández、P. Benyei、D. García-del-Amo、A.B. Junqueira、V. Labeyrie等。《原住民与地方社区所描述的气候变化影响本土指标：研究规程》，《PloS ONE》（公共科学图书馆·综合），2023年，第18卷第1期，文章编号e0279847，DOI:10.1371/journal.pone.0279847