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Critical thresholds in ecological restoration to achieve optimal ecosystem services: An analysis based on forest ecosystem restoration projects in China

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  • Zhang, Junze
  • Mengting, Luo
  • Hui, Yue
  • Xiyun, Chen
  • Chong, Feng

Abstract

Ecological restoration projects should ensure that multiple ecosystem functions meet the needs of different stakeholders. Ecological and economic thresholds are both indispensable to ecological restoration or land-use planning, but their joint application is often overlooked. Consequently, short-term benefits do not necessarily lead to long-term benefits. In this study, we emphasize the importance that ecological thresholds (based on sound ecological relationships between predictor variables and response variables) and economic thresholds (based on the needs of different stakeholders) be simultaneously evaluated during ecological restoration or land-use planning initiatives. They should replace composite indicators that do not reflect what transpires within ecosystems after a certain point in time. Although the assessment of a project’s ecological and economic thresholds may be costly at the present time, this approach can effectuate the value of optimal ecological services and maintain it for a long period of time, while also improving resource use efficiency and sustainable development.

Suggested Citation

  • Zhang, Junze & Mengting, Luo & Hui, Yue & Xiyun, Chen & Chong, Feng, 2018. "Critical thresholds in ecological restoration to achieve optimal ecosystem services: An analysis based on forest ecosystem restoration projects in China," Land Use Policy, Elsevier, vol. 76(C), pages 675-678.
    • Handle: RePEc:eee:lauspo:v:76:y:2018:i:c:p:675-678
    DOI: 10.1016/j.landusepol.2018.02.050
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    References listed on IDEAS

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    1. Farley, Joshua, 2012. "Ecosystem services: The economics debate," Ecosystem Services, Elsevier, vol. 1(1), pages 40-49.
    2. Muradian, Roldan, 2001. "Ecological thresholds: a survey," Ecological Economics, Elsevier, vol. 38(1), pages 7-24, July.
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    4. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
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    Cited by:

    1. Lu, Yanchi & Huang, Dan & Liu, Yaolin & Zhang, Yan & Jing, Ying & Chen, Huiting & Zhang, Ziyi & Liu, Yanfang, 2024. "Exploring the optimization and management methods of ecological networks based on the cluster mode: A case study of Wuhan Metropolis, China," Land Use Policy, Elsevier, vol. 137(C).
    2. Stefano Pinardi & Matteo Salis & Gabriele Sartor & Rosa Meo, 2023. "EU−Africa: Digital and Social Questions in a Multicultural Agroecological Transition for the Cocoa Production in Africa," Social Sciences, MDPI, vol. 12(7), pages 1-29, July.
    3. Zhang, Jing & Li, Sinan & Lin, Naifa & Lin, Yue & Yuan, Shaofeng & Zhang, Ling & Zhu, Jinxia & Wang, Ke & Gan, Muye & Zhu, Congmou, 2022. "Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China," Land Use Policy, Elsevier, vol. 116(C).
    4. Yanping Zhao & Jing Luo & Tao Li & Jian Chen & Yi Mi & Kuan Wang, 2023. "A Framework to Identify Priority Areas for Restoration: Integrating Human Demand and Ecosystem Services in Dongting Lake Eco-Economic Zone, China," Land, MDPI, vol. 12(5), pages 1-20, April.

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