The Response Mechanism of Ecosystem Service Trade-Offs Along an Aridity Gradient in Humid and Semi-Humid Regions: A Case Study of Northeast China

In the context of global climate change, the sensitivity of ecosystem services (ESs) and their relationships to aridity are increasing, and the areas affected by aridity continue to expand. Previous research has largely focused on ES changes in arid regions under intensified aridity conditions and has overlooked humid and semi-humid regions, which are more sensitive to water loss. In this study, we applied a generalized additive model (GAM) to analyze the nonlinear responses of ES trade-offs to aridity in humid and semi-humid regions. The results indicated that at an aridity index (AI) of approximately 0.26, the trade-off intensity of two ES pairs—carbon sequestration vs. water yield and habitat quality vs. water yield—reached a peak. Additionally, structural equation modeling (SEM) based on threshold partitioning revealed significant shifts in ES trade-off drivers below and above the AI threshold. In areas with AI < 0.26, worsening meteorological and soil conditions exacerbated ES trade-offs, whereas in areas with AI > 0.26, competition for water resources between human activities and vegetation became the primary driver of intensified trade-offs. These findings highlight the need for targeted management strategies to maintain ecosystem stability in humid and semi-humid regions and provide valuable guidance for responding to increasing aridity risks.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2025-05-03
DOI
https://doi.org/10.3390/rs17091624
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21

Funders

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

The Response Mechanism of Ecosystem Service Trade-Offs Along an Aridity Gradient in Humid and Semi-Humid Regions: A Case Study of Northeast China

Yinghui Zhao, Zhen Zhen, Y. Liu
2 citations
Remote Sensing
Land Use and Ecosystem Services
2.21
article

The Response Mechanism of Ecosystem Service Trade-Offs Along an Aridity Gradient in Humid and Semi-Humid Regions: A Case Study of Northeast China

Yinghui Zhao, Zhen Zhen, Y. Liu
article en
2 citations

Abstract

In the context of global climate change, the sensitivity of ecosystem services (ESs) and their relationships to aridity are increasing, and the areas affected by aridity continue to expand. Previous research has largely focused on ES changes in arid regions under intensified aridity conditions and has overlooked humid and semi-humid regions, which are more sensitive to water loss. In this study, we applied a generalized additive model (GAM) to analyze the nonlinear responses of ES trade-offs to aridity in humid and semi-humid regions. The results indicated that at an aridity index (AI) of approximately 0.26, the trade-off intensity of two ES pairs—carbon sequestration vs. water yield and habitat quality vs. water yield—reached a peak. Additionally, structural equation modeling (SEM) based on threshold partitioning revealed significant shifts in ES trade-off drivers below and above the AI threshold. In areas with AI < 0.26, worsening meteorological and soil conditions exacerbated ES trade-offs, whereas in areas with AI > 0.26, competition for water resources between human activities and vegetation became the primary driver of intensified trade-offs. These findings highlight the need for targeted management strategies to maintain ecosystem stability in humid and semi-humid regions and provide valuable guidance for responding to increasing aridity risks.

Remote SensingVol. 17(9)
Northeast Forestry University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Land Use and Ecosystem Services
2.21
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.