Data for "Weaving scientific and local knowledge on climate change impacts in coastal Kenya, Western Indian Ocean"
收藏DataCite Commons2024-11-21 更新2025-01-06 收录
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https://figshare.com/articles/dataset/Data_for_Weaving_scientific_and_local_knowledge_on_climate_change_impacts_in_coastal_Kenya_Western_Indian_Ocean_/27877203/1
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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 & 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
提供机构:
figshare
创建时间:
2024-11-21



