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Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities

A list of indicators that can be used to track resilience of agricultural communities is presented in this brief. The provided data set covers a unique overview of policy-relevant indicators based on data on climate change impacts, vulnerability, adaptation, agriculture and rural development. This d...

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Autores principales: Bizikova, Livia, Waldick, Ruth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369312/
https://www.ncbi.nlm.nih.gov/pubmed/30788398
http://dx.doi.org/10.1016/j.dib.2019.01.024
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author Bizikova, Livia
Waldick, Ruth
author_facet Bizikova, Livia
Waldick, Ruth
author_sort Bizikova, Livia
collection PubMed
description A list of indicators that can be used to track resilience of agricultural communities is presented in this brief. The provided data set covers a unique overview of policy-relevant indicators based on data on climate change impacts, vulnerability, adaptation, agriculture and rural development. This data is grouped into six critical sectors that are crucial for policy-makers to track resilience. The data is transferable and can be adjusted to different communities as the listed definitions can be modified to account for the specific local conditions. The indicators were used to identify a set of resilience indicators for rural agricultural communities in Ontario Canada (for details see “An Indicator Set to Track Resilience to Climate Change in Agriculture: A policy-maker׳s perspective” [1]).
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spelling pubmed-63693122019-02-20 Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities Bizikova, Livia Waldick, Ruth Data Brief Agricultural and Biological Science A list of indicators that can be used to track resilience of agricultural communities is presented in this brief. The provided data set covers a unique overview of policy-relevant indicators based on data on climate change impacts, vulnerability, adaptation, agriculture and rural development. This data is grouped into six critical sectors that are crucial for policy-makers to track resilience. The data is transferable and can be adjusted to different communities as the listed definitions can be modified to account for the specific local conditions. The indicators were used to identify a set of resilience indicators for rural agricultural communities in Ontario Canada (for details see “An Indicator Set to Track Resilience to Climate Change in Agriculture: A policy-maker׳s perspective” [1]). Elsevier 2019-01-17 /pmc/articles/PMC6369312/ /pubmed/30788398 http://dx.doi.org/10.1016/j.dib.2019.01.024 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Agricultural and Biological Science
Bizikova, Livia
Waldick, Ruth
Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
title Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
title_full Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
title_fullStr Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
title_full_unstemmed Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
title_short Summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
title_sort summary of the underlying dataset to assist in tracking resilience of rural agricultural communities
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369312/
https://www.ncbi.nlm.nih.gov/pubmed/30788398
http://dx.doi.org/10.1016/j.dib.2019.01.024
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