High coupling but low coordination: Climate–vegetation interactions on the Chinese Loess Plateau under rapid greening

In arid and semi-arid regions, large-scale vegetation restoration is widely implemented to combat land degradation. However, it remains unclear whether human-induced greening is synchronized with climate dynamics for long-term sustainability. The Chinese Loess Plateau, a major ecological restoration region, provides an ideal case study. Using a coupling coordination degree model and multi-source datasets from 1990 to 2020, this study investigated the spatiotemporal interactions between climate and vegetation. Results showed a significant warming–wetting trend accompanied by substantial greening and increased carbon storage. A clear mismatch emerged: the system exhibited high coupling but low coordination (coupling degree >0.80, coordination index <0.15), indicating persistent mild maladjustment (coupling coordination degree <0.35). This suggests a potential systemic risk in dryland restoration, where anthropogenically driven vegetation expansion may outpace climatic feedback. The dominant driver shifted from natural productivity to land-use change and, more recently, to precipitation constraints. These results indicate that water availability is a key constraint on greening and that increased vegetation cover does not necessarily ensure sustainability. Therefore, ecological restoration policies may need to shift from a greening-oriented approach toward a comprehensive assessment-oriented framework, taking into account restoration quality in hotspot areas, ecosystem stability in not significant areas, and hydroclimatic suitability in cold spot areas to support the long-term sustainability of regional ecological restoration.

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Publication Details

Journal
Ecological Indicators
Published
2026-08-20
DOI
https://doi.org/10.1016/j.ecolind.2026.115346
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

High coupling but low coordination: Climate–vegetation interactions on the Chinese Loess Plateau under rapid greening

Lei Deng, Kaibo Wang, Xiaoqing Xu, Hanwen Tian et al.
Ecological Indicators
Remote Sensing in Agriculture
article

High coupling but low coordination: Climate–vegetation interactions on the Chinese Loess Plateau under rapid greening

Lei Deng, Kaibo Wang, Xiaoqing Xu, Hanwen Tian, Jingshu Chen
article en

Abstract

In arid and semi-arid regions, large-scale vegetation restoration is widely implemented to combat land degradation. However, it remains unclear whether human-induced greening is synchronized with climate dynamics for long-term sustainability. The Chinese Loess Plateau, a major ecological restoration region, provides an ideal case study. Using a coupling coordination degree model and multi-source datasets from 1990 to 2020, this study investigated the spatiotemporal interactions between climate and vegetation. Results showed a significant warming–wetting trend accompanied by substantial greening and increased carbon storage. A clear mismatch emerged: the system exhibited high coupling but low coordination (coupling degree >0.80, coordination index <0.15), indicating persistent mild maladjustment (coupling coordination degree <0.35). This suggests a potential systemic risk in dryland restoration, where anthropogenically driven vegetation expansion may outpace climatic feedback. The dominant driver shifted from natural productivity to land-use change and, more recently, to precipitation constraints. These results indicate that water availability is a key constraint on greening and that increased vegetation cover does not necessarily ensure sustainability. Therefore, ecological restoration policies may need to shift from a greening-oriented approach toward a comprehensive assessment-oriented framework, taking into account restoration quality in hotspot areas, ecosystem stability in not significant areas, and hydroclimatic suitability in cold spot areas to support the long-term sustainability of regional ecological restoration.

Ecological IndicatorsVol. 190
Chinese Academy of Sciences (CN), Shaanxi Institute of Zoology (CN), Institute of Earth Environment (CN), Shandong Institute of Business and Technology (CN), Northwest A&F University (CN)
Life in Land
Openalex Percentile: Top 9%
Remote Sensing in Agriculture
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