Considering uncertainties expands the lower tail of maize yield projections.
Crop yields are sensitive to extreme weather events. Improving the understanding of the mechanisms and the drivers of the projection uncertainties can help to improve decisions. Previous studies have provided important insights, but often sample only a small subset of potentially important uncertain...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:796098cdcb09407cb534c119eace383c2021-12-02T20:12:51ZConsidering uncertainties expands the lower tail of maize yield projections.1932-620310.1371/journal.pone.0259180https://doaj.org/article/796098cdcb09407cb534c119eace383c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259180https://doaj.org/toc/1932-6203Crop yields are sensitive to extreme weather events. Improving the understanding of the mechanisms and the drivers of the projection uncertainties can help to improve decisions. Previous studies have provided important insights, but often sample only a small subset of potentially important uncertainties. Here we expand on a previous statistical modeling approach by refining the analyses of two uncertainty sources. Specifically, we assess the effects of uncertainties surrounding crop-yield model parameters and climate forcings on projected crop yield. We focus on maize yield projections in the eastern U.S.in this century. We quantify how considering more uncertainties expands the lower tail of yield projections. We characterized the relative importance of each uncertainty source and show that the uncertainty surrounding yield model parameters is the main driver of yield projection uncertainty.Haochen YeRobert E NicholasSamantha RothKlaus KellerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259180 (2021) |
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Medicine R Science Q Haochen Ye Robert E Nicholas Samantha Roth Klaus Keller Considering uncertainties expands the lower tail of maize yield projections. |
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Crop yields are sensitive to extreme weather events. Improving the understanding of the mechanisms and the drivers of the projection uncertainties can help to improve decisions. Previous studies have provided important insights, but often sample only a small subset of potentially important uncertainties. Here we expand on a previous statistical modeling approach by refining the analyses of two uncertainty sources. Specifically, we assess the effects of uncertainties surrounding crop-yield model parameters and climate forcings on projected crop yield. We focus on maize yield projections in the eastern U.S.in this century. We quantify how considering more uncertainties expands the lower tail of yield projections. We characterized the relative importance of each uncertainty source and show that the uncertainty surrounding yield model parameters is the main driver of yield projection uncertainty. |
format |
article |
author |
Haochen Ye Robert E Nicholas Samantha Roth Klaus Keller |
author_facet |
Haochen Ye Robert E Nicholas Samantha Roth Klaus Keller |
author_sort |
Haochen Ye |
title |
Considering uncertainties expands the lower tail of maize yield projections. |
title_short |
Considering uncertainties expands the lower tail of maize yield projections. |
title_full |
Considering uncertainties expands the lower tail of maize yield projections. |
title_fullStr |
Considering uncertainties expands the lower tail of maize yield projections. |
title_full_unstemmed |
Considering uncertainties expands the lower tail of maize yield projections. |
title_sort |
considering uncertainties expands the lower tail of maize yield projections. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/796098cdcb09407cb534c119eace383c |
work_keys_str_mv |
AT haochenye consideringuncertaintiesexpandsthelowertailofmaizeyieldprojections AT robertenicholas consideringuncertaintiesexpandsthelowertailofmaizeyieldprojections AT samantharoth consideringuncertaintiesexpandsthelowertailofmaizeyieldprojections AT klauskeller consideringuncertaintiesexpandsthelowertailofmaizeyieldprojections |
_version_ |
1718374832551231488 |