Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China

Abstract Intensive irrigation has been proven to profoundly impact climate through the surface energy budget. However, the impacts of irrigation and climate interactions on gross primary productivity (GPP) in maize cultivated areas remain uncertain. Here we quantified the irrigation effects on maize...

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Main Authors: Dehai Liao, Jun Niu, Philippe Ciais, Taisheng Du, Baozhong Zhang, Shaozhong Kang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2022EF003474
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author Dehai Liao
Jun Niu
Philippe Ciais
Taisheng Du
Baozhong Zhang
Shaozhong Kang
author_facet Dehai Liao
Jun Niu
Philippe Ciais
Taisheng Du
Baozhong Zhang
Shaozhong Kang
author_sort Dehai Liao
collection DOAJ
description Abstract Intensive irrigation has been proven to profoundly impact climate through the surface energy budget. However, the impacts of irrigation and climate interactions on gross primary productivity (GPP) in maize cultivated areas remain uncertain. Here we quantified the irrigation effects on maize GPP (∆GPP) across China by combining a land surface model and a light‐use efficiency model and using satellite‐based irrigation water use. We show that irrigation significantly contributed to an increase in maize GPP by an average of 430 gC · m−2 · yr−1, equivalent to 28% of the irrigated maize GPP in China. These benefits (∆GPP) were attributed to irrigation effects (water supply, surface cooling) and climate interactions based on a machine learning framework (eXtreme Gradient Boosting model‐SHapley Additive exPlanations). Irrigation water supply and surface cooling explained 54% ± 19% and 23% ± 20% of ∆GPP respectively, the rest being due to strong climate interactions with irrigation through water and energy balance. Assuming business‐as‐usual irrigation levels, changing climate both increases and decreases ΔGPP over different regions, driven primarily by temperature changes. The irrigation benefits in those areas under heat stress are greatly threatened due to changing climate. The roles of climate change on ∆GPP are reversed from beneficial to detrimental in the North China Plain, dominated by different warming levels of future scenarios. Our analysis provides new insights into assessing irrigation potential with the climate interactions and future irrigation priority regions.
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spelling doaj.art-a00f63b4d5a04f4a9181fb016b73de952024-03-20T10:41:14ZengWileyEarth's Future2328-42772024-01-01121n/an/a10.1029/2022EF003474Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in ChinaDehai Liao0Jun Niu1Philippe Ciais2Taisheng Du3Baozhong Zhang4Shaozhong Kang5Center for Agricultural Water Research in China China Agricultural University Beijing ChinaCenter for Agricultural Water Research in China China Agricultural University Beijing ChinaLaboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA‐CNRS‐UVSQ Université Paris‐Saclay Gif‐sur‐Yvette FranceCenter for Agricultural Water Research in China China Agricultural University Beijing ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research Beijing ChinaCenter for Agricultural Water Research in China China Agricultural University Beijing ChinaAbstract Intensive irrigation has been proven to profoundly impact climate through the surface energy budget. However, the impacts of irrigation and climate interactions on gross primary productivity (GPP) in maize cultivated areas remain uncertain. Here we quantified the irrigation effects on maize GPP (∆GPP) across China by combining a land surface model and a light‐use efficiency model and using satellite‐based irrigation water use. We show that irrigation significantly contributed to an increase in maize GPP by an average of 430 gC · m−2 · yr−1, equivalent to 28% of the irrigated maize GPP in China. These benefits (∆GPP) were attributed to irrigation effects (water supply, surface cooling) and climate interactions based on a machine learning framework (eXtreme Gradient Boosting model‐SHapley Additive exPlanations). Irrigation water supply and surface cooling explained 54% ± 19% and 23% ± 20% of ∆GPP respectively, the rest being due to strong climate interactions with irrigation through water and energy balance. Assuming business‐as‐usual irrigation levels, changing climate both increases and decreases ΔGPP over different regions, driven primarily by temperature changes. The irrigation benefits in those areas under heat stress are greatly threatened due to changing climate. The roles of climate change on ∆GPP are reversed from beneficial to detrimental in the North China Plain, dominated by different warming levels of future scenarios. Our analysis provides new insights into assessing irrigation potential with the climate interactions and future irrigation priority regions.https://doi.org/10.1029/2022EF003474changing climateclimate interactionsexplainable machine learningirrigation benefitsmaize gross primary productivitysurface cooling
spellingShingle Dehai Liao
Jun Niu
Philippe Ciais
Taisheng Du
Baozhong Zhang
Shaozhong Kang
Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China
Earth's Future
changing climate
climate interactions
explainable machine learning
irrigation benefits
maize gross primary productivity
surface cooling
title Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China
title_full Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China
title_fullStr Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China
title_full_unstemmed Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China
title_short Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China
title_sort changing climate threatens irrigation benefits of maize gross primary productivity in china
topic changing climate
climate interactions
explainable machine learning
irrigation benefits
maize gross primary productivity
surface cooling
url https://doi.org/10.1029/2022EF003474
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AT junniu changingclimatethreatensirrigationbenefitsofmaizegrossprimaryproductivityinchina
AT philippeciais changingclimatethreatensirrigationbenefitsofmaizegrossprimaryproductivityinchina
AT taishengdu changingclimatethreatensirrigationbenefitsofmaizegrossprimaryproductivityinchina
AT baozhongzhang changingclimatethreatensirrigationbenefitsofmaizegrossprimaryproductivityinchina
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