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  French crop yield, area and production data for ten staple crops from 1900 to 2018 on county resolution

Schauberger, B., Kato, H., Kato, T., Watanabe, D., Ciais, P. (2022): French crop yield, area and production data for ten staple crops from 1900 to 2018 on county resolution. - Scientific Data, 9, 38.
https://doi.org/10.1038/s41597-022-01145-4

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Schauberger, Bernhard1, Autor              
Kato, Hiromi2, Autor
Kato, Tomomichi2, Autor
Watanabe, Daiki2, Autor
Ciais, Philippe2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: 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.

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Sprache(n): eng - Englisch
 Datum: 2021-12-102022-02-032022-02-03
 Publikationsstatus: Final veröffentlicht
 Seiten: 6
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: MDB-ID: yes - 3277
PIKDOMAIN: RD2 - Climate Resilience
Organisational keyword: RD2 - Climate Resilience
Working Group: Adaptation in Agricultural Systems
Research topic keyword: Adaptation
Research topic keyword: Food & Agriculture
Regional keyword: Europe
OATYPE: Gold - DEAL Springer Nature
DOI: 10.1038/s41597-022-01145-4
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Titel: Scientific Data
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Seiten: - Band / Heft: 9 Artikelnummer: 38 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Springer Nature