Spatial–Temporal Heterogeneity Responses of Three Major Crop Yields to Climate Change in China During 2000–2018

As one of the most serious challenges in the 21st century, climate change poses a major threat to global grain production, especially in agricultural and populous countries such as China. This study employs the Vegetation Photosynthesis Model (VPM) and Geographically and Temporally Weighted Regression (GTWR) model to systematically quantify and analyze the spatio-temporal heterogeneous responses of three major crop yields (rice, maize, and wheat) to climate change from 2000 to 2018 in China. The results are as follows. (1) During 2000–2018, all climate factors showed significant inter-annual fluctuations and regional variations. Specifically, both mean maximum and minimum temperatures rose by approximately 1 °C overall; total precipitation initially decreased before increasing, with 2011 being the turning point; total sunshine hours fluctuated sharply before stabilizing; mean wind speed increased slowly at first and then more rapidly; and mean relative humidity decreased first and then increased, turning around in 2009. (2) The VPM-based crop yield estimates were well-verified against the statistics from the China Statistical Yearbook, with the coefficient of determination (R2) ranging from 0.77 to 0.84 for the three crops (all p < 0.01), confirming the high reliability of the yield data used in this study. (3) The national mean yields of three crops based on the VPM showed a fluctuating upward trend from 2000 to 2018. Spatially, the yield changes in three crops showed significant regional differences. (4) From 2000 to 2018, crop yields based on the VPM model exhibited distinct responses to climate change: rice yields were mainly positively affected by mean maximum temperature, maize yields were mainly negatively affected by total precipitation, while wheat yields benefited most significantly from mean relative humidity. The Northeast Plain (the major production region for rice and maize) and the Huang-Huai-Hai Plain (the key region for wheat) proved most sensitive to climate change, and the impacts on all three crops intensified over time. The study suggests that in the future, attention should be focused on the adaptive management of major crop production regions under climate change, and multiple approaches such as optimizing the planting structure and layout, improving crop varieties, perfecting the risk management system, and establishing a policy support and guarantee system should be adopted to enhance the climate resilience of the agricultural system.

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Publication Details

Journal
Land
Published
2026-04-01
DOI
https://doi.org/10.3390/land15040584
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatial–Temporal Heterogeneity Responses of Three Major Crop Yields to Climate Change in China During 2000–2018

Luoman Pu, Menglu Ma
Land
Climate change impacts on agriculture
article

Spatial–Temporal Heterogeneity Responses of Three Major Crop Yields to Climate Change in China During 2000–2018

Luoman Pu, Menglu Ma
article en

Abstract

As one of the most serious challenges in the 21st century, climate change poses a major threat to global grain production, especially in agricultural and populous countries such as China. This study employs the Vegetation Photosynthesis Model (VPM) and Geographically and Temporally Weighted Regression (GTWR) model to systematically quantify and analyze the spatio-temporal heterogeneous responses of three major crop yields (rice, maize, and wheat) to climate change from 2000 to 2018 in China. The results are as follows. (1) During 2000–2018, all climate factors showed significant inter-annual fluctuations and regional variations. Specifically, both mean maximum and minimum temperatures rose by approximately 1 °C overall; total precipitation initially decreased before increasing, with 2011 being the turning point; total sunshine hours fluctuated sharply before stabilizing; mean wind speed increased slowly at first and then more rapidly; and mean relative humidity decreased first and then increased, turning around in 2009. (2) The VPM-based crop yield estimates were well-verified against the statistics from the China Statistical Yearbook, with the coefficient of determination (R2) ranging from 0.77 to 0.84 for the three crops (all p < 0.01), confirming the high reliability of the yield data used in this study. (3) The national mean yields of three crops based on the VPM showed a fluctuating upward trend from 2000 to 2018. Spatially, the yield changes in three crops showed significant regional differences. (4) From 2000 to 2018, crop yields based on the VPM model exhibited distinct responses to climate change: rice yields were mainly positively affected by mean maximum temperature, maize yields were mainly negatively affected by total precipitation, while wheat yields benefited most significantly from mean relative humidity. The Northeast Plain (the major production region for rice and maize) and the Huang-Huai-Hai Plain (the key region for wheat) proved most sensitive to climate change, and the impacts on all three crops intensified over time. The study suggests that in the future, attention should be focused on the adaptive management of major crop production regions under climate change, and multiple approaches such as optimizing the planting structure and layout, improving crop varieties, perfecting the risk management system, and establishing a policy support and guarantee system should be adopted to enhance the climate resilience of the agricultural system.

LandVol. 15(4)
Hainan University (CN)
National Natural Science Foundation of China, Hainan University, Education Department of Hainan Province, Jilin Office of Philosophy and Social Science
Climate action
Openalex Percentile: Top 30%
Climate change impacts on agriculture
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