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.
Authors
- Lei Deng (ORCID: https://orcid.org/0000-0002-5898-5100)
- Kaibo Wang (ORCID: https://orcid.org/0000-0002-6837-9171)
- Xiaoqing Xu (ORCID: https://orcid.org/0000-0002-4021-0913)
- Hanwen Tian
- Jingshu Chen
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00