Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The Sustainability Paradox of Ecological Restoration

Gains and Reversal Risks Across China's Forestry Megaprojects

Bibliographic Data

ID19236283
AuthorsQing Zhou (0000-0002-2100-8840, International Institute for Earth System Science Nanjing University Nanjing China), Qingjiu Tian (0000-0003-0986-6479, International Institute for Earth System Science Nanjing University Nanjing China, corresponding author), J Tian (0000-0003-3152-8652, School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China), Jin Tian (0000-0001-5631-7179, Beihang University), Jia Tian (0000-0003-0677-6646)
Year2026
Publication date2026-02-10
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.70494
OpenAlexW7128520343
LanguageEN
References cited51

In the context of global efforts to combat land degradation, the long‐term sustainability of large‐scale ecological restoration projects is a critical determinant of their success. As the world's largest land restoration initiative, China's major forestry projects offer a unique, continental‐scale natural experiment to assess their effectiveness. Leveraging the Google Earth Engine platform, this study employs a validated Remote Sensing Ecological Index (RSEI) framework to assess the spatiotemporal dynamics of ecological quality, long‐term sustainability, and key drivers across six major forestry project areas from 2000 to 2022. The results reveal significant spatial heterogeneity in restoration outcomes: while regions like the Middle Yellow River successfully reversed severe land degradation, the ecological quality in the Upper‐Middle Yangtze River area exhibited a declining trend, demonstrating that restoration success is highly contingent on regional context. However, a significant knowledge gap remains: existing evaluations often rely on short‐term monitoring or static “snapshot” assessments, which fail to capture the non‐linear dynamic characteristics and long‐term stability of ecosystem evolution, thereby overlooking potential future reversal risks. Crucially, the Hurst exponent analysis reveals a sustainability paradox: historical greening trends do not guarantee future stability. Despite significant past gains, regions like the Liaohe River and Huaihe‐Taihu basins face exceptionally high risks of future degradation (reversal risks reaching 41.56% and 68.78%, respectively), posing a severe challenge to the long‐term efficacy of these interventions. The study finds that while large‐scale restoration projects are effective in addressing historical degradation under low socioeconomic pressure, their capacity to sustain ecosystem integrity is limited in areas with high‐intensity human activity. This underscores the necessity of integrated policies that couple ecological engineering with sustainable land‐use planning to secure long‐term returns on global investments in land restoration

Ecosystem · Ecosystem services · Environmental degradation · Land degradation · Land use · Restoration Ecology · Sustainability · Conservation, Biodiversity, and Resource Management · Land Use and Ecosystem Services · Remote Sensing in Agriculture

  • An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis

    Open Access•Yongze Song, Jinfeng Wang et al.•GIScience & Remote Sensing•2020

  • Ecological restoration for sustainable development in China

    Open Access•Bojie Fu, Yanxu Liu et al.•National Science Review•2023

  • A measure of spatial stratified heterogeneity

    Open Access•Jinfeng Wang, Jin-Feng Wang et al.•Ecological Indicators•2016

  • Ecological and socioeconomic effects of China's policies for ecosystem services

    Open Access•Jianguo Liu, Shuxin Li et al.•Proceedings of the National…•2008

  • Coupling coordinated development between social economy and ecological environment in Chinese provincial capital cities-assessment and policy implications

    Open Access•Yupeng Fan, Chuanglin Fang et al.•Journal of Cleaner Production•2019

  • Towards ecological civilization

    Open Access•Jiaxing Xin, Jun Yang et al.•Applied Geography•2024

  • Forest aging limits future carbon sink in China

    Open Access•Yi Leng, Wei Li et al.•One Earth•2024

  • Spatio–Temporal Dynamic Characteristics and Driving Mechanisms of Urban Compactness in Central China

    Open Access•Wenqin Ren, Linggui Wei et al.•Urban Science•2024

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae