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Relationship between Climate-Shaped Urbanization and Forest Ecological Function: A Case Study of the Yellow River Basin, China

Author

Listed:
  • Xiaobing Gu

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
    College of Economics and Management, China Agricultural University, Beijing 100083, China)

  • Guangyu Wang

    (Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada)

  • Shunli Zhang

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
    College of Economics and Management, China Agricultural University, Beijing 100083, China)

  • Linyan Feng

    (Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China)

  • Ram P. Sharma

    (Institute of Forestry, Tribhuvan University, Kathmandu 44600, Nepal)

  • Huoyan Zhou

    (School of Ecology and Environment Science, Yunnan University, Kunming 650031, China)

  • Liyong Fu

    (Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China)

  • Qingjun Wu

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
    College of Economics and Management, China Agricultural University, Beijing 100083, China)

  • Yaquan Dou

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China)

  • Xiaodi Zhao

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
    Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada)

Abstract

Amidst the compounded challenges posed by global climate change and urbanization on forest ecosystems, the integration of urbanization control measures within a climate-focused framework may offer an avenue for breakthroughs. This study delves into the impact of climate, specifically hydrothermal conditions, on the complex interplay between urbanization (Urb) and forest ecological function (Eco) in the Yellow River Basin (YRB) in China. Our findings reveal: (1) The application of a coupled coordination model reveals a stronger alignment between urbanization and forest ecological function in the warm and humid regions in the YRB. (2) Through the cross-sectional threshold regression model, we elucidate the diverse responses of Urb to Eco across varying climate gradients. Among them, annual precipitation shows a double-threshold effect at 532.34 mm and 694.18 mm. As precipitation increases, the impact of Urb shifts from negative to positive on Eco. Moreover, in regions with precipitation below 532.34 mm and above 694.18 mm, the absolute value of response coefficients of Eco to Urb is amplified. Annual average temperature displays a single-threshold effect at 10.11 °C, leading to a transition from negative to positive impact as temperature rises. This study establishes the climate-based threshold system that governs the urbanization–forest ecological function relationship.

Suggested Citation

  • Xiaobing Gu & Guangyu Wang & Shunli Zhang & Linyan Feng & Ram P. Sharma & Huoyan Zhou & Liyong Fu & Qingjun Wu & Yaquan Dou & Xiaodi Zhao, 2023. "Relationship between Climate-Shaped Urbanization and Forest Ecological Function: A Case Study of the Yellow River Basin, China," Land, MDPI, vol. 12(11), pages 1-20, November.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2047-:d:1277775
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    References listed on IDEAS

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    1. Yi, Su & Xiao-li, An, 2018. "Application of threshold regression analysis to study the impact of regional technological innovation level on sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 27-32.
    2. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    3. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    4. Wang, Jieyu & Wang, Shaojian & Li, Shijie & Feng, Kuishuang, 2019. "Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province," Applied Energy, Elsevier, vol. 254(C).
    5. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    6. Karen Ehrhardt‐Martinez & Edward M. Crenshaw & J. Craig Jenkins, 2002. "Deforestation and the Environmental Kuznets Curve: A Cross‐National Investigation of Intervening Mechanisms," Social Science Quarterly, Southwestern Social Science Association, vol. 83(1), pages 226-243, March.
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