# Dynamic responses of gross primary productivity to compound hot extremes and drought across different geographical regions of China

## TL;DR

This study explores how compound hot extremes and droughts affect plant productivity in China, revealing regional differences and synergistic impacts.

## Contribution

A novel framework combining spatiotemporal trend analysis, correlation methods, and the geographical detector model to assess climate extremes' impact on GPP.

## Key findings

- GPP in China's six major regions increased from 2001 to 2020, with most areas experiencing significant warming.
- Compound hot extremes and drought events show regional variation, with highest frequency in North China.
- The combined effect of hot extremes and drought on GPP is synergistically amplified, particularly in North China.

## Abstract

Amid the escalating challenges of global climate change, the stress effects of compound extreme climate events on terrestrial ecosystems are becoming increasingly prominent. However, a critical knowledge gap persists in quantitatively dissecting their synergistic impact on vegetation gross primary productivity (GPP).

This study introduces a novel framework that integrates spatiotemporal trend analysis, correlation methods, and the geographical detector model. This integrated approach is designed to quantify the non-linear interactions between compound hot extremes and drought events, and GPP across China, and to systematically reveal the interaction mechanisms among their characterizing indicators—namely, the Standardized Temperature Index (STI), the Standardized Precipitation Evapotranspiration Index (SPEI), and GPP.

The results show that: (1) From 2001 to 2020, the interannual variation of GPP in China's six major regions showed an increasing trend, 98.84% have experienced significant warming, and 83.76% show no significant changes in drought. (2) The occurrence of compound hot extremes and drought events shows significant regional heterogeneity, with a frequency of 14.4% in North China and 13.1% in Northwest China. Compound hot extremes and drought events exhibit distinct regional heterogeneity, being most frequent in North China and least frequent in Northwest China. (3) Correlation analysis indicates that 72.4% of regions show a negative correlation between STI and GPP; 64.1% show a positive correlation between SPEI and GPP; and 71.69% show a negative correlation between the frequency of compound hot extremes and drought events and GPP. (4) Interaction effect analysis highlights that the impact of compound hot extremes and drought events on GPP exceeds that of either factor alone, with the most significant effect in North China (q values of STI, SPEI, and compound hot extremes and drought events are 0.14, 0.25, and 0.51, respectively. Moreover, the interaction exhibits a synergistic amplification.

This study provides new data support for assessing ecosystem resilience and informing adaptive management under climate change.