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  How do inputs and weather drive wheat yield volatility? The example of Germany

Albers, H., Gornott, C., Hüttel, S. (2017): How do inputs and weather drive wheat yield volatility? The example of Germany. - Food Policy, 70, 50-61.
https://doi.org/10.1016/j.foodpol.2017.05.001

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 Urheber:
Albers, H.1, Autor
Gornott, Christoph2, Autor              
Hüttel, S.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Increases in cereals production risk are commonly related to increases in weather risk. We analyze weather-induced changes in wheat yield volatility as a systemic weather risk in Germany. We disentangle, however, the relative impacts of inputs and weather on regional yield volatility. For this purpose we augment a production function with phenologically aggregated weather variables. Increasing volatility can be traced back to weather changes only in some regions. On average, inputs explain 49% of the total actual wheat yield volatility, while weather explains 43%. Models with only weather variables deliver biased but reasonable approximations for climate impact research.

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 Datum: 2017
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.foodpol.2017.05.001
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 7691
Research topic keyword: Climate impacts
Research topic keyword: Land use
Regional keyword: Germany
Regional keyword: Brandenburg
Organisational keyword: RD2 - Climate Resilience
 Art des Abschluß: -

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Titel: Food Policy
Genre der Quelle: Zeitschrift, SCI, Scopus
 Urheber:
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 70 Artikelnummer: - Start- / Endseite: 50 - 61 Identifikator: Anderer: Elsevier
Anderer: 1873-5657
ISSN: 0306-9192
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/food-policy