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Spatial Pattern and Influence Mechanisms of Forest Land Quality under the Background of Carbon Peaking and Carbon Neutrality: A Case Study in Kaizhou District, Chongqing, China

Author

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  • Shasha Lu

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Pan Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Jiayi Zhang

    (School of Public Management, Tianjin University of Commerce, Tianjin 300134, China)

  • Rongfang Wang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Suxin Hu

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Changjiang Ma

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

Abstract

Since the goals of carbon peaking and carbon neutrality have been established, forest carbon sinks have garnered significant attention. As a fundamental component of forest carbon sinks, the quality of forest land significantly influences the carbon sink capacity of forests. This study utilized Kaizhou District, Chongqing City, a typical forest area as a case study, and used the correction method, factor method, CASA model, landscape ecology indexes, and canonical correlation analysis to evaluate the level of forest land quality and reveal the spatial distribution pattern and influencing mechanisms of forest land quality. The results showed that: (i) The quality index of public welfare forest land was distributed in [37.89, 148.15], and each quality level was diversified in space. The quality index of commodity forest land was distributed in [40.00, 92.67], and some high-quality forest land appeared in the transition zone of each region; (ii) The forest land quality index and the amount of net primary productivity passed the correlation test. Primary net productivity was higher on forest land with a high-quality index and lower on forest area with a low-quality index; (iii) public welfare forest land was mainly positively affected by community structure, average annual precipitation, average annual temperature, and soil moisture. Commodity forest land was mainly positively affected by average annual temperature, soil moisture, and slope aspect. However, landform had a significant negative impact on the two types of forest land. Given these findings, we also proposed a series of measures aimed at promoting the sustainable development of research on regional forest land.

Suggested Citation

  • Shasha Lu & Pan Zhang & Jiayi Zhang & Rongfang Wang & Suxin Hu & Changjiang Ma, 2024. "Spatial Pattern and Influence Mechanisms of Forest Land Quality under the Background of Carbon Peaking and Carbon Neutrality: A Case Study in Kaizhou District, Chongqing, China," Land, MDPI, vol. 13(10), pages 1-25, October.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1645-:d:1494945
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    References listed on IDEAS

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    1. Li, Lingchao & Liu, Jinlong & Long, Hexing & de Jong, Wil & Youn, Yeo-Chang, 2017. "Economic globalization, trade and forest transition-the case of nine Asian countries," Forest Policy and Economics, Elsevier, vol. 76(C), pages 7-13.
    2. Wang, Naijiang & Bao, Yeqing, 2011. "Modeling forest quality at stand level: A case study of loess plateau in China," Forest Policy and Economics, Elsevier, vol. 13(6), pages 488-495, July.
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