Divergent Sensitivity of Gross Primary Productivity to Compound Drought and Heatwaves Across China’s Three Major Urban Agglomerations

Compound Drought and Heatwave (CDH) events increasingly threaten terrestrial carbon uptake, yet the spatiotemporal heterogeneity of Gross Primary Productivity (GPP) responses in urban agglomerations remains unclear. This study analyzed CDH impacts in China’s three major urban agglomerations, namely the Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) regions, using ERA5 and satellite GPP data (GOSIF and FluxSat) for representative CDH years (2007 for BTH; 2022 for YRD and PRD). CDH conditions exhibited a coherent hot–dry coupling, with temperature anomalies of 0.46–1.26 K and soil moisture deficits of −0.042 to −0.169 m3 m−3, accompanied by enhanced atmospheric dryness. Pronounced spatial heterogeneity in GPP responses aligned with regional climatic regimes and ecosystem types. The water-limited BTH region exhibited significant GPP deficits, with anomalies of −1.13 Standard Deviations (STD) and −0.96 STD for GPPFluxSat and GPPGOSIF, respectively. Conversely, the energy-limited regions showed positive anomalies: the YRD recorded +0.32 and +1.79 STD, while the PRD reached +1.86 and +1.06 STD for GPPFluxSat and GPPGOSIF, respectively. Mechanistically, the north–south contrast suggests a transition from water-limited vulnerability to energy-limited resilience, with vegetation traits and management (e.g., potential irrigation buffering in croplands and deeper water access in forests) modulating sensitivity to atmospheric dryness. These findings provide quantitative benchmarks for improving regional carbon-cycle assessments and adaptation planning under increasing compound extremes.

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Publication Details

Journal
Remote Sensing
Published
2026-04-14
DOI
https://doi.org/10.3390/rs18081175
Primary Topic
Urban Heat Island Mitigation
Type
article
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article

Divergent Sensitivity of Gross Primary Productivity to Compound Drought and Heatwaves Across China’s Three Major Urban Agglomerations

Zexia Duan, Yichi Zhang, Yuehua Chen, Tianbo Ji et al.
Remote Sensing
Urban Heat Island Mitigation
article

Divergent Sensitivity of Gross Primary Productivity to Compound Drought and Heatwaves Across China’s Three Major Urban Agglomerations

Zexia Duan, Yichi Zhang, Yuehua Chen, Tianbo Ji, Xuanhua Yin, Hongjian Ma
article en

Abstract

Compound Drought and Heatwave (CDH) events increasingly threaten terrestrial carbon uptake, yet the spatiotemporal heterogeneity of Gross Primary Productivity (GPP) responses in urban agglomerations remains unclear. This study analyzed CDH impacts in China’s three major urban agglomerations, namely the Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) regions, using ERA5 and satellite GPP data (GOSIF and FluxSat) for representative CDH years (2007 for BTH; 2022 for YRD and PRD). CDH conditions exhibited a coherent hot–dry coupling, with temperature anomalies of 0.46–1.26 K and soil moisture deficits of −0.042 to −0.169 m3 m−3, accompanied by enhanced atmospheric dryness. Pronounced spatial heterogeneity in GPP responses aligned with regional climatic regimes and ecosystem types. The water-limited BTH region exhibited significant GPP deficits, with anomalies of −1.13 Standard Deviations (STD) and −0.96 STD for GPPFluxSat and GPPGOSIF, respectively. Conversely, the energy-limited regions showed positive anomalies: the YRD recorded +0.32 and +1.79 STD, while the PRD reached +1.86 and +1.06 STD for GPPFluxSat and GPPGOSIF, respectively. Mechanistically, the north–south contrast suggests a transition from water-limited vulnerability to energy-limited resilience, with vegetation traits and management (e.g., potential irrigation buffering in croplands and deeper water access in forests) modulating sensitivity to atmospheric dryness. These findings provide quantitative benchmarks for improving regional carbon-cycle assessments and adaptation planning under increasing compound extremes.

Remote SensingVol. 18(8)
The University of Sydney (AU), China Meteorological Administration (CN), Nantong University (CN), Nanjing University of Information Science and Technology (CN), Shaanxi Provincial Meteorological Bureau (CN), Zhejiang Meteorological Bureau (CN)
Openalex Percentile: Top 23%
Urban Heat Island Mitigation
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