Publication Abstracts
Cheng et al. 2026
Cheng, X., B. Tao, S. Qiu, Z. Zhu, , and W. Ren, 2026: Long-term changing patterns of field-scale corn and soybeans phenology in the US Midwest. J. Geophys. Res. Biogeosci., 131, no. 1, e2025JG009028, doi:10.1029/2025JG009028.
Crop phenology is a key indicator for assessing agroecosystem responses to environmental changes and informing adaptive management practices. Accurate detection of phenology dynamics is crucial for understanding agroecosystem function and structure at regional scales and supporting policy-making aimed at sustainable management. This study fused Landsat and MODIS observations with a newly developed Gap Filling and Savitzky-Golay filtering (GF-SG) method to derive 30 m major phenological metrics (planting, corn silking, soybean blooming, corn maturity, soybean dropping-leaves, and harvesting) in the US Midwest from 2000 to 2022. The 30 m metrics were evaluated against PhenoCam observations and ground surveys at field and state scales. Our results suggested that the growth seasons of corn (from planting to maturity date) and of soybeans (from planting to dropping-leaves date) were lengthened by 0.19 days/year (p = 0.03) and 0.08 days/year (p = 0.20), respectively. While planting dates historically advanced in response to rising temperatures, satellite observations indicated a recent trend toward delayed planting in certain regions, shifting more time into the reproductive period. Further analysis suggests that these delays were associated with increased cumulative pre-season precipitation (p < 0.0001 for corn and p < 0.0001 for soybeans). Our 30 m phenological metrics can strengthen yield gap analysis and regional agricultural assessments and provide science-based information to facilitate the development of tailored adaptation strategies.
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BibTeX Citation
@article{ch05710t,
author={Cheng, X. and Tao, B. and Qiu, S. and Zhu, Z. and Ruane, A. C. and Ren, W.},
title={Long-term changing patterns of field-scale corn and soybeans phenology in the US Midwest},
year={2026},
journal={Journal of Geophysical Research: Biogeosciences},
volume={131},
number={1},
pages={e2025JG009028},
doi={10.1029/2025JG009028},
}
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RIS Citation
TY - JOUR ID - ch05710t AU - Cheng, X. AU - Tao, B. AU - Qiu, S. AU - Zhu, Z. AU - Ruane, A. C. AU - Ren, W. PY - 2026 TI - Long-term changing patterns of field-scale corn and soybeans phenology in the US Midwest JA - J. Geophys. Res. Biogeosci. JO - Journal of Geophysical Research: Biogeosciences VL - 131 IS - 1 SP - e2025JG009028 DO - 10.1029/2025JG009028 ER -
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