Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations

Global gridded crop models are increasingly used to assess climate change impacts on food production. Here, the authors assess crop yield uncertainty associated with soil data input, reporting that soil type strongly influences yield estimates, and may either buffer or amplify climate-related impact...

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Autores principales:	Christian Folberth, Rastislav Skalský, Elena Moltchanova, Juraj Balkovič, Ligia B. Azevedo, Michael Obersteiner, Marijn van der Velde
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/dac3fdd09a5f43bda82d32a4dbbbfa85
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spelling	oai:doaj.org-article:dac3fdd09a5f43bda82d32a4dbbbfa852021-12-02T17:32:21ZUncertainty in soil data can outweigh climate impact signals in global crop yield simulations10.1038/ncomms118722041-1723https://doaj.org/article/dac3fdd09a5f43bda82d32a4dbbbfa852016-06-01T00:00:00Zhttps://doi.org/10.1038/ncomms11872https://doaj.org/toc/2041-1723Global gridded crop models are increasingly used to assess climate change impacts on food production. Here, the authors assess crop yield uncertainty associated with soil data input, reporting that soil type strongly influences yield estimates, and may either buffer or amplify climate-related impacts.Christian FolberthRastislav SkalskýElena MoltchanovaJuraj BalkovičLigia B. AzevedoMichael ObersteinerMarijn van der VeldeNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Christian Folberth Rastislav Skalský Elena Moltchanova Juraj Balkovič Ligia B. Azevedo Michael Obersteiner Marijn van der Velde Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
description	Global gridded crop models are increasingly used to assess climate change impacts on food production. Here, the authors assess crop yield uncertainty associated with soil data input, reporting that soil type strongly influences yield estimates, and may either buffer or amplify climate-related impacts.
format	article
author	Christian Folberth Rastislav Skalský Elena Moltchanova Juraj Balkovič Ligia B. Azevedo Michael Obersteiner Marijn van der Velde
author_facet	Christian Folberth Rastislav Skalský Elena Moltchanova Juraj Balkovič Ligia B. Azevedo Michael Obersteiner Marijn van der Velde
author_sort	Christian Folberth
title	Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
title_short	Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
title_full	Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
title_fullStr	Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
title_full_unstemmed	Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
title_sort	uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/dac3fdd09a5f43bda82d32a4dbbbfa85
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Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations

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