Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States

Increasing drought and extreme rainfall are major threats to maize production in the United States. However, compared to drought impact, the impact of excessive rainfall on crop yield remains unresolved. Here, we present observational evidence from crop yield and insurance data that excessive rainfa...

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Veröffentlicht in:Global change biology 2019-07, Vol.25 (7), p.2325-2337
Hauptverfasser: Li, Yan, Guan, Kaiyu, Schnitkey, Gary D., DeLucia, Evan, Peng, Bin
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Sprache:eng
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Zusammenfassung:Increasing drought and extreme rainfall are major threats to maize production in the United States. However, compared to drought impact, the impact of excessive rainfall on crop yield remains unresolved. Here, we present observational evidence from crop yield and insurance data that excessive rainfall can reduce maize yield up to −34% (−17 ± 3% on average) in the United States relative to the expected yield from the long‐term trend, comparable to the up to −37% loss by extreme drought (−32 ± 2% on average) from 1981 to 2016. Drought consistently decreases maize yield due to water deficiency and concurrent heat, with greater yield loss for rainfed maize in wetter areas. Excessive rainfall can have either negative or positive impact on crop yield, and its sign varies regionally. Excessive rainfall decreases maize yield significantly in cooler areas in conjunction with poorly drained soils, and such yield loss gets exacerbated under the condition of high preseason soil water storage. Current process‐based crop models cannot capture the yield loss from excessive rainfall and overestimate yield under wet conditions. Our results highlight the need for improved understanding and modeling of the excessive rainfall impact on crop yield. This study reveals that excessive rainfall can adversely affect maize yield as much as extreme drought in the US, especially at regional scale. However, current process‐based crop models cannot capture the yield loss from excessive rainfall and overestimate crop yield under wet conditions. The results highlight the need for improved understanding and modeling of the excessive rainfall impact on crop yield.
ISSN:1354-1013
1365-2486
DOI:10.1111/gcb.14628