Spatial and Temporal Patterns of Maize Phenology in China From 2001 to 2020

Abstract Climate change has significantly altered crop phenology, which has further impacted crop growth and yield. Accurate monitoring of crop phenology is essential for managing agricultural production in response. However, regional monitoring requires high spatial resolution distribution data, as medium resolution data suffers from mixed pixel issues. This study based on a long‐term high spatiotemporal resolution fusion data set of Normalized Difference Vegetation Index and an annually updated maize distribution data set, used the relative threshold method to identify the maize phenology in 22 provinces of China from 2001 to 2020. We further analyzed the trend of maize phenology and assessed its responses to climate change. The results reveal large inter‐annual fluctuations and spatial variability in maize phenology from 2001 to 2020. The length of the growth season (LOS) of spring maize has prolonged by 4.28 days in the northern maize zone and has shortened by 4.90 days in the southern maize zone. Additionally, the LOS of summer maize in the Huang‐Huai‐Hai region has shortened by 2.24 days. We also found a positive correlation between the length of the vegetative growth stage and the mean temperature and a negative correlation between the length of the reproductive growth stage and accumulated precipitation. This study utilized large‐scale, high‐resolution maize phenology data to analyze the trend of maize phenology and its response to climate change. These findings are expected to provide valuable support for assessing maize growth status and developing agricultural adaptive practices.

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Publication Details

Journal
Journal of Geophysical Research Biogeosciences
Published
2024-10-01
DOI
https://doi.org/10.1029/2024jg008095
Citations
4
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.84

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article

Spatial and Temporal Patterns of Maize Phenology in China From 2001 to 2020

Qiongyan Peng, Ruoque Shen, Wenping Yuan, Yujie Liu et al.
4 citations
Journal of Geophysical Research Biogeosciences
Remote Sensing in Agriculture
1.84
article

Spatial and Temporal Patterns of Maize Phenology in China From 2001 to 2020

Qiongyan Peng, Ruoque Shen, Wenping Yuan, Yujie Liu, Jianxi Huang, Qingling Sun, Xiangqian Li
article en
4 citations

Abstract

Abstract Climate change has significantly altered crop phenology, which has further impacted crop growth and yield. Accurate monitoring of crop phenology is essential for managing agricultural production in response. However, regional monitoring requires high spatial resolution distribution data, as medium resolution data suffers from mixed pixel issues. This study based on a long‐term high spatiotemporal resolution fusion data set of Normalized Difference Vegetation Index and an annually updated maize distribution data set, used the relative threshold method to identify the maize phenology in 22 provinces of China from 2001 to 2020. We further analyzed the trend of maize phenology and assessed its responses to climate change. The results reveal large inter‐annual fluctuations and spatial variability in maize phenology from 2001 to 2020. The length of the growth season (LOS) of spring maize has prolonged by 4.28 days in the northern maize zone and has shortened by 4.90 days in the southern maize zone. Additionally, the LOS of summer maize in the Huang‐Huai‐Hai region has shortened by 2.24 days. We also found a positive correlation between the length of the vegetative growth stage and the mean temperature and a negative correlation between the length of the reproductive growth stage and accumulated precipitation. This study utilized large‐scale, high‐resolution maize phenology data to analyze the trend of maize phenology and its response to climate change. These findings are expected to provide valuable support for assessing maize growth status and developing agricultural adaptive practices.

Journal of Geophysical Research BiogeosciencesVol. 129(10)
Sun Yat-sen University (CN), Peking University (CN), Ministry of Agriculture and Rural Affairs (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), China Agricultural University (CN)
China National Funds for Distinguished Young Scientists
Zero hunger
Openalex Percentile: Top 15%
Remote Sensing in Agriculture
1.84
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