Resultados de investigación

This dataset includes the data analysed in the manuscript "Reviewing Indigenous Peoples and local communities reports of climate change impacts on biodiversity". It contains one R-file with the script used to analyse the data, and eight csv-files with the following information: 1) the list of documents reviewed and their bibliographic information; 2) geographical information of the case studies reported in the documents reviewed; 3) numerical codes associated to macro-regions; 4) characteristics of groups reporting climate change impacts in case studies; 5) numerical codes associated to livelihoods; 6) list of LICCI codes categorized across impact categories; 7) list of local indicators of climate change impacts on biodiversity reported by Indigenous Peoples and local communities described in the documents reviewed, and taxa reported as impacted; 8) ranking of taxonomic classes most frequently impacted by climate change according to IUCN Red List of Threatened Species and documents reviewed.

Qualitative dataset of the Site 'Lonquimay' collected by Rosario Carmona in Chile. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu

Quantitative dataset of the Site 'Lonquimay' collected by Rosario Carmona in Chile. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu

Qualitative dataset of the Site 'Syr Darya Delta' collected by Aibek Samakov in Kazakhstan. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu

Qualitative dataset of the Site 'Kahuzi' collected by Aida Cuni Sanchez in Congo, the Democratic Republic of the. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu

Qualitative dataset of the Site 'Kinnaur, Himachal Pradesh' collected by Alpy Sharma in India. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu

Quantitative dataset of the Site 'Kinnaur, Himachal Pradesh' collected by Alpy Sharma in India. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu

Qualitative dataset of the Site 'Turkana' collected by Alvaro Fernandez-Llamazares in Kenya. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu

Quantitative dataset of the Site 'Turkana' collected by Alvaro Fernandez-Llamazares in Kenya. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu

Qualitative dataset of the Site 'Juruá River' collected by André B. Junqueira in Brazil. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu