A multivariate framework to quantify propagation characteristics from soil drought to socio-ecological productivity

China spans strong climatic and ecological gradients, from arid northern regions to humid southern ecosystems, making it highly vulnerable to soil moisture deficits and associated vegetation productivity loss. As climate extremes intensify, the processes linking soil moisture deficits to vegetation loss and their socio-ecological impacts remain insufficiently understood. This study proposes a multivariate framework integrating event-based matching and copula-based probability modeling to analyze dynamics in drought events that propagate from soil drought to socio-ecological loss under historical conditions and future climate and socioeconomic scenarios across China. Using reanalysis soil moisture, model-based GPP, and climate–hydrology simulations across multiple RCP–SSP pathways, we quantify propagation characteristics (duration, severity, response lag, recovery length), assess vegetation resistance, and evaluate exposure of major crops, GDP, and population. The proportion of vegetation-loss events triggered by soil drought increases from 33 % historically to 57 % in future with intensifying severity. Propagating and non-propagating events exhibit distinct atmospheric controls, emphasizing land–atmosphere coupling. Northern China faces shorter but more intense droughts, while southern China experiences longer droughts and rising vegetation resistance, with resistant areas expanding from 19–24 % (2030–2060) to 22–29 % (2070–2099). Socio-economic exposure intensifies, with soybean (53.0 %) and maize (52.7 %) most affected, and GDP and population impacts clustering in North China and southeastern regions. These findings highlight growing ecohydrological risks and the need for targeted drought adaptation strategies. • A new multivariate framework quantifies soil-to-vegetation drought propagation. • High-emission scenarios intensify soil-driven vegetation productivity losses. • Maize and soybean are more exposed to drought than rice. • Population and economic exposure to drought risk rises under future climates.

Authors

Institutions

Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2026-01-06
DOI
https://doi.org/10.1016/j.ejrh.2025.103080
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multivariate framework to quantify propagation characteristics from soil drought to socio-ecological productivity

Sung‐Ching Lee, Chong-Yu Xu, Jie Chen, Chengyun Wang
Journal of Hydrology Regional Studies
Hydrology and Drought Analysis
article

A multivariate framework to quantify propagation characteristics from soil drought to socio-ecological productivity

Sung‐Ching Lee, Chong-Yu Xu, Jie Chen, Chengyun Wang
article en

Abstract

China spans strong climatic and ecological gradients, from arid northern regions to humid southern ecosystems, making it highly vulnerable to soil moisture deficits and associated vegetation productivity loss. As climate extremes intensify, the processes linking soil moisture deficits to vegetation loss and their socio-ecological impacts remain insufficiently understood. This study proposes a multivariate framework integrating event-based matching and copula-based probability modeling to analyze dynamics in drought events that propagate from soil drought to socio-ecological loss under historical conditions and future climate and socioeconomic scenarios across China. Using reanalysis soil moisture, model-based GPP, and climate–hydrology simulations across multiple RCP–SSP pathways, we quantify propagation characteristics (duration, severity, response lag, recovery length), assess vegetation resistance, and evaluate exposure of major crops, GDP, and population. The proportion of vegetation-loss events triggered by soil drought increases from 33 % historically to 57 % in future with intensifying severity. Propagating and non-propagating events exhibit distinct atmospheric controls, emphasizing land–atmosphere coupling. Northern China faces shorter but more intense droughts, while southern China experiences longer droughts and rising vegetation resistance, with resistant areas expanding from 19–24 % (2030–2060) to 22–29 % (2070–2099). Socio-economic exposure intensifies, with soybean (53.0 %) and maize (52.7 %) most affected, and GDP and population impacts clustering in North China and southeastern regions. These findings highlight growing ecohydrological risks and the need for targeted drought adaptation strategies. • A new multivariate framework quantifies soil-to-vegetation drought propagation. • High-emission scenarios intensify soil-driven vegetation productivity losses. • Maize and soybean are more exposed to drought than rice. • Population and economic exposure to drought risk rises under future climates.

Journal of Hydrology Regional StudiesVol. 63
University of Oslo (NO), Wuhan University (CN), Max Planck Institute for Biogeochemistry (DE)
Climate action
Openalex Percentile: Top 97%
Hydrology and Drought Analysis
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.