Evaluation of the Carbon Sink Capacity of the Proposed Kunlun Mountain National Park

Int J Environ Res Public Health. 2022 Aug 11;19(16):9887. doi: 10.3390/ijerph19169887.

Abstract

National parks, as an important type of nature protected areas, are the cornerstone that can effectively maintain biodiversity and mitigate global climate change. At present, China is making every effort to build a nature-protection system, with national parks as the main body, and this approach considers China's urgent goals of obtaining carbon neutrality and mitigating climate change. It is of great significance to the national carbon-neutralization strategy to accurately predict the carbon sink capacity of national park ecosystems under the background of global change. To evaluate and predict the dynamics of the carbon sink capacity of national parks under climate change and different management measures, we combined remote-sensing observations, model simulations and scenario analyses to simulate the change in the carbon sink capacity of the proposed Kunlun Mountain National Park ecosystem over the past two decades (2000-2020) and the change in the carbon sink capacity under different zoning controls and various climate change scenarios from 2020 to 2060. Our results show that the carbon sink capacity of the proposed Kunlun Mountain National Park area is increasing. Simultaneously, the carbon sink capacity will be improved with the implementation of park management and control measures; which will be increased by 2.04% to 2.13% by 2060 in the research area under multiple climate change scenarios. The research results provide a scientific basis for the establishment and final boundary determination of the proposed Kunlun Mountain National Park.

Keywords: CMIP6; climate change; management schemes; nature protected area.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbon
  • Carbon Sequestration
  • Conservation of Natural Resources / methods
  • Ecosystem*
  • Parks, Recreational*

Substances

  • Carbon

Grants and funding

This study is supported by the Young Talent Program of Xi′an Jiaotong University (GG6J007 (M.D.)) and by the funding from Northwest Surveying, Planning Institute of National Forestry and Grassland Administration of China (SKH2022010 (M.D.)).