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

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...

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Autores principales: Reyes-García, Victoria, Álvarez-Fernández, Santiago, Benyei, Petra, García-del-Amo, David, Junqueira, André B., Labeyrie, Vanesse, Li, Xiaoyue, Porcher, Vincent, Porcuna-Ferrer, Anna, Schlingmann, Anna, Soleymani, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815565/
https://www.ncbi.nlm.nih.gov/pubmed/36602984
http://dx.doi.org/10.1371/journal.pone.0279847
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author Reyes-García, Victoria
Álvarez-Fernández, Santiago
Benyei, Petra
García-del-Amo, David
Junqueira, André B.
Labeyrie, Vanesse
Li, Xiaoyue
Porcher, Vincent
Porcuna-Ferrer, Anna
Schlingmann, Anna
Soleymani, Ramin
author_facet Reyes-García, Victoria
Álvarez-Fernández, Santiago
Benyei, Petra
García-del-Amo, David
Junqueira, André B.
Labeyrie, Vanesse
Li, Xiaoyue
Porcher, Vincent
Porcuna-Ferrer, Anna
Schlingmann, Anna
Soleymani, Ramin
author_sort Reyes-García, Victoria
collection PubMed
description 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.
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spelling pubmed-98155652023-01-06 Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol Reyes-García, Victoria Álvarez-Fernández, Santiago Benyei, Petra García-del-Amo, David Junqueira, André B. Labeyrie, Vanesse Li, Xiaoyue Porcher, Vincent Porcuna-Ferrer, Anna Schlingmann, Anna Soleymani, Ramin PLoS One Study Protocol 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. Public Library of Science 2023-01-05 /pmc/articles/PMC9815565/ /pubmed/36602984 http://dx.doi.org/10.1371/journal.pone.0279847 Text en © 2023 Reyes-García et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Protocol
Reyes-García, Victoria
Álvarez-Fernández, Santiago
Benyei, Petra
García-del-Amo, David
Junqueira, André B.
Labeyrie, Vanesse
Li, Xiaoyue
Porcher, Vincent
Porcuna-Ferrer, Anna
Schlingmann, Anna
Soleymani, Ramin
Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol
title Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol
title_full Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol
title_fullStr Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol
title_full_unstemmed Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol
title_short Local indicators of climate change impacts described by indigenous peoples and local communities: Study protocol
title_sort local indicators of climate change impacts described by indigenous peoples and local communities: study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815565/
https://www.ncbi.nlm.nih.gov/pubmed/36602984
http://dx.doi.org/10.1371/journal.pone.0279847
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