Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol

Reyes-Garcia Victoria, Alvarez-Fernandez Santiago, Benyei Petra, García-del-Amo David, Junqueira André B., Labeyrie Axel, Li Xiaoyue, Porcher Vincent, Porcuna-Ferrer Anna, Schlingmann Anna, Soleymani-Fard Ramin. 2023. Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol. PloS One, 18 (1):e0279847, 15 p.

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie; Staps

Résumé : Introduction: In the quest to improve the understanding of climate change impacts on elements of the atmospheric, physical, and life systems, scientists are challenged by the scarcity and uneven distribution of grounded data. Through their long history of interaction with the environment, Indigenous Peoples and local communities have developed complex knowledge systems that allow them to detect impacts of climate change in the local environment. The study protocol presented here is designed 1) to inventory climate change impacts on the atmospheric, physical, and life systems based on local knowledge and 2) to test hypotheses on the global spatial, socioeconomic, and demographic distribution of reported impacts. The protocol has been developed within the framework of a project aiming to bring insights from Indigenous and local knowledge systems to climate research (https://licci.eu). Methods: Data collection uses a mixed-method approach and relies on the collaboration of a team of 50 trained partners working in sites where people's livelihood directly depend on nature. The data collection protocol consists of two steps. Step 1 includes the collection of secondary data (e.g., spatial and meteorological data) and site contextual information (e.g., village infrastructure, services). Step 1 also includes the use of 1) semi-structured interviews (n = 20-30/site) to document observations of environmental change and their drivers and 2) focus group discussions to identify consensus in the information gathered. Step 2 consist in the application of a household (n from 75 to 125) and individual survey (n from 125 to 175) using a standardized but locally adapted instrument. The survey includes information on 1) individual and household socio-demographic characteristics, 2) direct dependence on nature, 3) household's vulnerability, and 4) individual perceptions of climate change impacts. Survey data are entered in a specifically designed database. Expected results: This protocol allows the systematic documentation and analysis of the patterned distribution of local indicators of climate change impacts across climate types and livelihood activities. Data collected with this protocol helps fill important gaps on local climate change impacts research and can provide tangible outcomes for local people who will be able to better reflect on how climate change impacts them.

Mots-clés Agrovoc : changement climatique, adaptation aux changements climatiques, savoirs autochtones, physique atmosphérique, impact sur l'environnement, enquête, distribution spatiale, moyens d'existence durables, données météorologiques, données climatiques, organisation socioéconomique, démographie, projet de recherche

Mots-clés géographiques Agrovoc : Madagascar, Sénégal

Mots-clés libres : Climate Change, Anthropogenic climate change, Natural resources, Data management, Scientists, Site selection, Virus testing, Weather stations

Classification Agris : P40 - Météorologie et climatologie
U70 - Sciences humaines et sociales

Champ stratégique Cirad : CTS 6 (2019-) - Changement climatique

Agences de financement européennes : European Research Council

Projets sur financement : (EU) Local Indicators of Climate Change Impacts. The Contribution of Local Knowledge to Climate Change Research

Auteurs et affiliations

• Reyes-Garcia Victoria, Universitat Autonoma de Barcelona (ESP) - auteur correspondant
• Alvarez-Fernandez Santiago, UAB (ESP)
• Benyei Petra, Universitat Autonoma de Barcelona (ESP)
• García-del-Amo David, Universitat Autonoma de Barcelona (ESP)
• Junqueira André B., Universitat Autonoma de Barcelona (ESP)
• Labeyrie Axel, CIRAD-BIOS-UMR DIADE (FRA)
• Li Xiaoyue, Universitat Autonoma de Barcelona (ESP)
• Porcher Vincent, Universitat Autonoma de Barcelona (ESP)
• Porcuna-Ferrer Anna, Universitat Autonoma de Barcelona (ESP)
• Schlingmann Anna, Universitat Autonoma de Barcelona (ESP)
• Soleymani-Fard Ramin, Universitat Autonoma de Barcelona (ESP)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608532/)

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