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French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution
Agricultural performance is influenced by environmental conditions, management decisions and economic circumstances. It is important to quantify their respective contribution to allow for detecting major hazards to production, projecting future yields under climate change and deriving adaptation opt...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814188/ https://www.ncbi.nlm.nih.gov/pubmed/35115538 http://dx.doi.org/10.1038/s41597-022-01145-4 |
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author | Schauberger, Bernhard Kato, Hiromi Kato, Tomomichi Watanabe, Daiki Ciais, Philippe |
author_facet | Schauberger, Bernhard Kato, Hiromi Kato, Tomomichi Watanabe, Daiki Ciais, Philippe |
author_sort | Schauberger, Bernhard |
collection | PubMed |
description | Agricultural performance is influenced by environmental conditions, management decisions and economic circumstances. It is important to quantify their respective contribution to allow for detecting major hazards to production, projecting future yields under climate change and deriving adaptation options. For this purpose, time series of agricultural yields with high spatial and long-term temporal resolution are a primary requisite. Here we present a data set of crop performance in France, one of Europe’s major crop producers. The data set comprises ten crops (barley, maize, oats, potatoes, rapeseed, sugarbeet, sunflower, durum wheat, soft wheat and wine) and covers the years 1900 to 2018. It contains harvested area, production and yield data for all 96 French départements (i.e. counties or NUTS3 level) with a total number of 375,264 data points. Entries until 1988 have been digitized manually from statistical yearbooks. The technical validation indicates a high consistency of the data set within itself and with external resources. The data set may contribute to an enhanced understanding of the manifold influences on agricultural performance. |
format | Online Article Text |
id | pubmed-8814188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88141882022-02-16 French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution Schauberger, Bernhard Kato, Hiromi Kato, Tomomichi Watanabe, Daiki Ciais, Philippe Sci Data Data Descriptor Agricultural performance is influenced by environmental conditions, management decisions and economic circumstances. It is important to quantify their respective contribution to allow for detecting major hazards to production, projecting future yields under climate change and deriving adaptation options. For this purpose, time series of agricultural yields with high spatial and long-term temporal resolution are a primary requisite. Here we present a data set of crop performance in France, one of Europe’s major crop producers. The data set comprises ten crops (barley, maize, oats, potatoes, rapeseed, sugarbeet, sunflower, durum wheat, soft wheat and wine) and covers the years 1900 to 2018. It contains harvested area, production and yield data for all 96 French départements (i.e. counties or NUTS3 level) with a total number of 375,264 data points. Entries until 1988 have been digitized manually from statistical yearbooks. The technical validation indicates a high consistency of the data set within itself and with external resources. The data set may contribute to an enhanced understanding of the manifold influences on agricultural performance. Nature Publishing Group UK 2022-02-03 /pmc/articles/PMC8814188/ /pubmed/35115538 http://dx.doi.org/10.1038/s41597-022-01145-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Schauberger, Bernhard Kato, Hiromi Kato, Tomomichi Watanabe, Daiki Ciais, Philippe French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
title | French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
title_full | French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
title_fullStr | French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
title_full_unstemmed | French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
title_short | French crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
title_sort | french crop yield, area and production data for ten staple crops from 1900 to 2018 at county resolution |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814188/ https://www.ncbi.nlm.nih.gov/pubmed/35115538 http://dx.doi.org/10.1038/s41597-022-01145-4 |
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