DOI: 10.34810/data1038
title: Replication data for "Indigenous Peoples and local communities reports of climate change impacts on biodiversity"
title: Replication data for "Indigenous Peoples and local communities unravel climate change impacts on biodiversity"

description: 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.
description: Description of methods used for collection-generation of data: Publications describing first-hand observations of climate change impacts reported by Indigenous Peoples and local communities were selected through Web of Science® (WOS) (http://science.thomsonreuters.com) and Scopus® (https://www.scopus.com/) search engines. The search-string included the key terms ("local knowledge" OR "indigenous knowledge" OR "traditional ecological knowledge") AND (“perceptions” OR “observations” OR “indicators”) AND ("environmental change" OR "global change" OR "climate change") and was restricted to titles, abstracts and keywords sections of documents published up to December 2020. - Methods for processing the data: Bibliographic information (i.e., authors, title, journal, publication year, and DOI) was collected for each selected document. For each case study reported in the documents selected, the following data was collected: 1) geographic information (i.e., country, coordinates), 2) livelihood of study group and 3) reported observations of climate change impacts. For reports of climate change impacts observed in non-domesticated species or related to wild biodiversity and ecosystems, the taxa reported as impacted was identified at the most precise taxonomic level described in the study. Each observation was classified according to the typology of changes described (i.e., abundance, phenology, distribution, composition, mortality, quality, habitat, invasive species, pests and diseases, and reproduction), and according to the category of taxa reported as impacted (i.e, plants, fishes, mammals, invertebrates, birds, reptiles and amphibians, other taxa, ecosystem, unspecified flora, and unspecified fauna). - Instrument- or software- specific information needed to interpret the data: Analysis and Graphical representations: R version 4.1.2 (R Core Team. (2020). R: A language and environment for statistical computing. https://www.r-project.org/). - Quality-assurance procedures performed on the data: 
Only documents including first-hand observations of climate change impacts reported by Indigenous Peoples and local communities were included. Reviews, meta-analyses, and documents describing impacts through sources other than Indigenous or local knowledge were excluded.
description: R, 4.1.2