Human disturbance intensity reduces drought resistance without prolonging recovery in karst forests of southwest China

Role of human disturbance in shaping forest drought responses remains insufficiently understood, particularly in widely-distributed and ecologically-fragile karst landscapes. Here, we analyzed six major drought events over the past two decades in the karst forests of Southwest China, a region representative of tropical and subtropical karst ecosystems with intensive human activity. Using high-resolution gross primary productivity (GPP) and Standardized Precipitation Evapotranspiration Index (SPEI) datasets, we compared drought resistance and recovery time between low- and high-disturbance forests. High-disturbance forests experienced significantly greater maximum GPP losses during droughts, with differences reaching up to 13% under comparable drought intensities. Beyond the dominant influence of drought intensity, climatic conditions (temperature and precipitation) and soil factors (soil organic carbon and soil thickness) exerted stronger effects on drought-induced GPP loss in high-disturbance forests than in low-disturbance ones. Interestingly, despite suffering greater productivity loss, high-disturbance forests exhibited comparable, and occasionally even shorter, recovery times than low-disturbance forests, suggesting a possible trade-off between drought resistance and recovery capacity. Although recovery time was not consistently prolonged, the greater productivity losses and elevated climatic and edaphic sensitivity in high-disturbance forests indicate reduced resistance and heightened vulnerability to future climate extremes and progressive drying trends.

Authors

Institutions

Publication Details

Journal
GIScience & Remote Sensing
Published
2026-01-04
DOI
https://doi.org/10.1080/15481603.2025.2610841
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human disturbance intensity reduces drought resistance without prolonging recovery in karst forests of southwest China

Martin Brandt, Liang Shi, Baoyan Liang, Chongyang Xu et al.
GIScience & Remote Sensing
Plant Water Relations and Carbon Dynamics
article

Human disturbance intensity reduces drought resistance without prolonging recovery in karst forests of southwest China

Martin Brandt, Liang Shi, Baoyan Liang, Chongyang Xu, Q. Y. Li, Hongyan Liu, Wenyan Wang, Yuemin Yue, Lu Wang, Jiawen Cui
article en

Abstract

Role of human disturbance in shaping forest drought responses remains insufficiently understood, particularly in widely-distributed and ecologically-fragile karst landscapes. Here, we analyzed six major drought events over the past two decades in the karst forests of Southwest China, a region representative of tropical and subtropical karst ecosystems with intensive human activity. Using high-resolution gross primary productivity (GPP) and Standardized Precipitation Evapotranspiration Index (SPEI) datasets, we compared drought resistance and recovery time between low- and high-disturbance forests. High-disturbance forests experienced significantly greater maximum GPP losses during droughts, with differences reaching up to 13% under comparable drought intensities. Beyond the dominant influence of drought intensity, climatic conditions (temperature and precipitation) and soil factors (soil organic carbon and soil thickness) exerted stronger effects on drought-induced GPP loss in high-disturbance forests than in low-disturbance ones. Interestingly, despite suffering greater productivity loss, high-disturbance forests exhibited comparable, and occasionally even shorter, recovery times than low-disturbance forests, suggesting a possible trade-off between drought resistance and recovery capacity. Although recovery time was not consistently prolonged, the greater productivity losses and elevated climatic and edaphic sensitivity in high-disturbance forests indicate reduced resistance and heightened vulnerability to future climate extremes and progressive drying trends.

GIScience & Remote SensingVol. 63(1)
University of Copenhagen (DK), Hebrew University of Jerusalem (IL), Chinese Academy of Sciences (CN), Nanjing University of Information Science and Technology (CN), Peking University (CN), Beijing Forestry University (CN), Institute of Subtropical Agriculture (CN), Zhanjiang Experimental Station (CN), Institute of Geographic Sciences and Natural Resources Research (CN)
National Science Foundation, National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 98%
Plant Water Relations and Carbon Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.