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Evaluating the vegetation restoration potential achievement of ecological projects: A case study of Yan’an, China

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  • Xu, Xin
  • Zhang, Daojun
  • Zhang, Yu
  • Yao, Shunbo
  • Zhang, Jinting

Abstract

Evaluating the effects of ecological projects is important for summarizing past experience and for exploring more effective ways to implement land use policies in the future. The base of ecological restoration is vegetation restoration. Consequently, previous studies have predominantly focused on ecological restoration from the view of vegetation coverage improvement (i.e., the growth of a vegetation index). However, vegetation coverage also reflects geographical differences in natural environmental factors. Thus, vegetation index growth rates reflect, to a large extent, differences in resource endowment, rather than in human effort. Using habitat theory and a spatial sliding window model, this study proposes the concept of vegetation restoration potential achievement (VRPA). Taking ecological restoration practices in Yan’an, China, since 1999 as an example, we evaluate the effect of ecological projects in terms of both a vegetation index and VRPA. The results show that the latter can effectively weaken the impact of resource endowment differences and highlight human factors (i.e., the ecological policy itself and its implementation). This approach improves land use policy evaluation by constructing a novel indicator. It is expected that this method will provide better support for regulating ecological restoration through land use policies.

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  • Xu, Xin & Zhang, Daojun & Zhang, Yu & Yao, Shunbo & Zhang, Jinting, 2020. "Evaluating the vegetation restoration potential achievement of ecological projects: A case study of Yan’an, China," Land Use Policy, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:lauspo:v:90:y:2020:i:c:s0264837719308518
    DOI: 10.1016/j.landusepol.2019.104293
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    References listed on IDEAS

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    5. Liu, Jingming & Chen, Haibin & Hou, Xianhui & Zhang, Daojun & Zhang, Hui, 2021. "Time to adopt a context-specific and market-based compensation scheme for a new round of the Grain for Green Program," Land Use Policy, Elsevier, vol. 108(C).
    6. Qiaowen Lin & Lu Zhang & Bingkui Qiu & Yi Zhao & Chao Wei, 2021. "Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China," Land, MDPI, vol. 10(2), pages 1-13, February.
    7. Shan Chen & Yuanmin Sun & Kunxian Tang & Fei Zhang & Weilun Ding & Ao Wang, 2022. "Distribution Characteristics and Restoration Application of Vegetation in Chengcun Bay Surrounding Areas of Yangjiang City," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    8. Zhiyuan Zhu & Zhikun Mei & Xiyang Xu & Yongzhong Feng & Guangxin Ren, 2022. "Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China," IJERPH, MDPI, vol. 19(15), pages 1-18, August.
    9. Kong, Xuesong & Fu, Mengxue & Zhao, Xiang & Wang, Jing & Jiang, Ping, 2022. "Ecological effects of land-use change on two sides of the Hu Huanyong Line in China," Land Use Policy, Elsevier, vol. 113(C).
    10. Hao Chen & Luuk Fleskens & Simon W. Moolenaar & Coen J. Ritsema & Fei Wang, 2022. "Stakeholders’ Perceptions towards Land Restoration and Its Impacts on Ecosystem Services: A Case Study in the Chinese Loess Plateau," Land, MDPI, vol. 11(11), pages 1-18, November.
    11. Liu, Jingjing & Wang, Jing & Zhai, Tianlin & Li, Zehui & Huang, Longyang & Yuan, Shaohua, 2021. "Gradient characteristics of China's land use patterns and identification of the east-west natural-socio-economic transitional zone for national spatial planning," Land Use Policy, Elsevier, vol. 109(C).
    12. Zhang, Daojun & Yang, Wanjing & Kang, Dingrong & Zhang, Han, 2023. "Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region," Land Use Policy, Elsevier, vol. 125(C).
    13. Zhiyuan Zhu & Zhikun Mei & Shilin Li & Guangxin Ren & Yongzhong Feng, 2022. "Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi," Land, MDPI, vol. 11(7), pages 1-17, July.
    14. Yuhui Bao & Liang Zheng & Kai Zhu & Hai Liu, 2023. "Climate Warming Dominates Vegetation Productivity in the Hanjiang River Basin, China," Land, MDPI, vol. 12(10), pages 1-18, October.

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