Heat-Stress Dormancy and the Muted Advance of Spring Phenology Under Extreme Warming in a Subtropical Transitional Zone: A Correlative Analysis

Anthropogenic warming has intensified extreme climate events, yet whether vegetation phenology in subtropical transitional zones follows the canonical warming-advance relationship or deviates under extreme conditions remains unresolved. Here, we analyze MODIS NDVI and ETCCDI extreme climate data across the northern slope of the Nanling Mountains, a critical subtropical transitional zone in southern China. At the spatial and interannual scale, SOS correlates negatively with extreme warm indices across 65.97% of the study area, i.e., warmer conditions coincide with earlier (canonical warming-advance) SOS, yet the regional SOS trend is non-significant despite coherent warming. We propose that heat-stress dormancy, extreme spring warmth triggering a reversible quiescent response that overrides thermal-time accumulation, is the most plausible explanation, although the present correlative, remote-sensing design cannot yet establish the underlying physiological mechanism. Growing season lengthening is driven by EOS delay (6.4 d per four years, p < 0.05) rather than SOS advance. Extreme precipitation is also predominantly associated with earlier SOS, with 75%–80% of pixels showing significant negative correlations, indicating that both thermal and moisture extremes shape spring phenology. Vegetation types follow a sensitivity hierarchy: cultivated land and grassland show the strongest phenological shifts, while natural forests remain buffered. These findings qualify the universal applicability of the warming-advance framework and call for incorporating heat-stress dormancy into phenological projections for subtropical transitional zones under continued extreme warming.

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Publication Details

Journal
Forests
Published
2026-10-16
DOI
https://doi.org/10.3390/f17101233
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Heat-Stress Dormancy and the Muted Advance of Spring Phenology Under Extreme Warming in a Subtropical Transitional Zone: A Correlative Analysis

Zhiwei Wan, Yuandong Wang, Guangxu Liu, Aicun Xiang et al.
Forests
Remote Sensing in Agriculture
article

Heat-Stress Dormancy and the Muted Advance of Spring Phenology Under Extreme Warming in a Subtropical Transitional Zone: A Correlative Analysis

Zhiwei Wan, Yuandong Wang, Guangxu Liu, Aicun Xiang, Liujian Liao, Wei Luo, Hangna Ke
article en

Abstract

Anthropogenic warming has intensified extreme climate events, yet whether vegetation phenology in subtropical transitional zones follows the canonical warming-advance relationship or deviates under extreme conditions remains unresolved. Here, we analyze MODIS NDVI and ETCCDI extreme climate data across the northern slope of the Nanling Mountains, a critical subtropical transitional zone in southern China. At the spatial and interannual scale, SOS correlates negatively with extreme warm indices across 65.97% of the study area, i.e., warmer conditions coincide with earlier (canonical warming-advance) SOS, yet the regional SOS trend is non-significant despite coherent warming. We propose that heat-stress dormancy, extreme spring warmth triggering a reversible quiescent response that overrides thermal-time accumulation, is the most plausible explanation, although the present correlative, remote-sensing design cannot yet establish the underlying physiological mechanism. Growing season lengthening is driven by EOS delay (6.4 d per four years, p < 0.05) rather than SOS advance. Extreme precipitation is also predominantly associated with earlier SOS, with 75%–80% of pixels showing significant negative correlations, indicating that both thermal and moisture extremes shape spring phenology. Vegetation types follow a sensitivity hierarchy: cultivated land and grassland show the strongest phenological shifts, while natural forests remain buffered. These findings qualify the universal applicability of the warming-advance framework and call for incorporating heat-stress dormancy into phenological projections for subtropical transitional zones under continued extreme warming.

ForestsVol. 17(10)
Chinese Academy of Sciences (CN), Northwest Institute of Eco-Environment and Resources (CN), Gannan Normal University (CN)
National Natural Science Foundation of China
Climate action, Life on land
Openalex Percentile: Top 16%
Remote Sensing in Agriculture
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