Yanru Liu,Hong Wan,Peng Guo,Wenhao Liu,Ziping Han,Yunfeng Jiao

Abstract

Accurate monitoring of winter wheat phenology is essential for irrigation optimization and food security in water-limited regions. However, discrepancies in how different phenological indicators respond to winter wheat phenology remain unclear. In this study, we compared winter wheat phenology derived from Solar-Induced Chlorophyll Fluorescence (SIF) and common remote sensing indicators from 2000 to 2023 across the North China Plain, including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), two-band Enhanced Vegetation Index (EVI2), Leaf Area Index (LAI), and Gross Primary Productivity (GPP). The results indicated that SIF-derived metrics exhibited superior stability in capturing phenological variations, with clearly defined stages and no overlapping phases. The SIF-derived results revealed that the green-up date (GUD) occurred mainly between 52 and 62 days of the year (DOY), with 52.4% of areas showing an advancing trend. The heading date (HE) clustered between 115 and 125 DOY, with 58.7% showing delays, while the maturity date (MA) clustered between 152 and 160 DOY, also dominated by delays (58.6%). Confidence ellipse analysis further exhibited the most widespread phenological variation pattern (23.67%), characterized by advances in all three growth stages and a southeast-to-northwest spatial direction. Rising temperature was the primary driver of earlier phenological patterns, while precipitation had limited influence but an increasing effect as the growing season progressed. These findings highlight the importance of proxy selection in crop phenology and guide adaptive water management strategies under climate variability.

Paper Linkage:https://doi.org/10.1016/j.agwat.2025.109885