Fine-Scale Variations and Driving Factors of GPP Derived from Multi-Source Data Fusion in the Mountainous Region of Northwestern Hubei

A 20-year analysis of gross primary productivity (GPP) in northwestern Hubei, China, reveals significant fine-scale variations linked to elevation and climate. GPP increases with altitude, showing a pronounced upward trend in mountainous regions like Shennongjia, while low-elevation areas exhibit a decline. The study, leveraging multi-source remote sensing data fused at 30 m resolution, highlights that seasonal climate factors—particularly temperature and precipitation—strongly influence GPP, with their impacts varying by elevation and month. Temperature effects remain stable across altitudes, whereas precipitation correlations weaken with increasing elevation, reflecting diverse climatic responses. This research underscores the critical role of high-resolution spatiotemporal data in understanding carbon fixation dynamics in complex mountainous landscapes.

Bai, D., Wang, Y., Ma, Y., Li, H., & Guan, X. (2025). Fine-Scale Variations and Driving Factors of GPP Derived from Multi-Source Data Fusion in the Mountainous Region of Northwestern Hubei. Remote Sensing, 17(13), 2186. https://doi.org/10.3390/rs17132186