Conversion of Forest to Other Land Uses: Consequences in Greenhouse Gas Fluxes

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Meteorology and Climate Change".

Deadline for manuscript submissions: closed (30 July 2024) | Viewed by 1358

Special Issue Editor


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Guest Editor
Department of Natural Resources and Environmental Studies, Center for Interdisciplinary Research on Ecology and Sustainability, National Dong Hwa University, Hualien 97401, Taiwan
Interests: CO2 flux; biogeochemistry; forest growth simulation; land use change; evapotranspiration

Special Issue Information

Dear Colleagues,

Forest ecosystems play a pivotal role as the largest carbon sink, significantly influencing the global redistribution of anthropogenic CO2 emissions. Their capacity for carbon sequestration not only regulates current atmospheric carbon levels but also exerts a crucial influence on the trajectory of future climate change. Despite being hailed as a nature-based solution for mitigating climate change, forests are increasingly converted for purposes such as agriculture, residence, and renewable energy due to growing land demands. While deforestation is expected to alter CO2 and other greenhouse gas fluxes, comprehensive research data with broad spatial representation are essential to enhance our understanding of the changing global carbon budget.

This Special Issue invites studies that compare greenhouse gas fluxes before, during, and after the conversion of forests to different land uses. Researchers are encouraged to share their findings through approaches such as:

  • Direct measurements;
  • Comparison of chronosequences;
  • Modeling work;
  • Synthesis of published data.

We welcome contributions that shed light on this critical aspect of environmental science and its implications for global climate dynamics.

Prof. Dr. Shih-Chieh Chang
Guest Editor

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Keywords

  • land use change
  • forests
  • greenhouse gas flux
  • carbon flux

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Published Papers (1 paper)

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Research

19 pages, 11946 KiB  
Article
Simulation of LUCC Scenarios and Analysis of the Driving Force of Carbon Stock Supply Changes in the North China Plain in the Context of Urbanization
by Dongling Ma, Qingji Huang, Qian Wang, Zhenxin Lin and Hailong Xu
Forests 2024, 15(8), 1414; https://doi.org/10.3390/f15081414 - 13 Aug 2024
Cited by 2 | Viewed by 1084
Abstract
The North China Plain is the core region of China’s economic development, and exploring the impacts of its land use and cover change (LUCC) and different urbanization regional drivers on carbon stocks is conducive to promoting sustainable development and carbon balance within the [...] Read more.
The North China Plain is the core region of China’s economic development, and exploring the impacts of its land use and cover change (LUCC) and different urbanization regional drivers on carbon stocks is conducive to promoting sustainable development and carbon balance within the region. In the study, the North China Plain was selected as the study area, and the Patch-Generating Land Use Simulation (PLUS) model and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model were comprehensively applied to set up three land use policies, predict land use changes in 2030, and calculate carbon stock changes. Meanwhile, the Extreme Gradient Boosting (XGBoost) algorithm was used to analyze the degree of influence of different drivers on the supply of carbon stocks in different urbanization regions. Studies show that if the North China Plain prioritizes economic development, the area of farmland and forests will significantly decrease, leading to a substantial decline in carbon stocks. If ecological protection is the development focus, the reduction in farmland and forests will be less, and carbon stocks will remain relatively stable. If farmland protection is the development focus, the reduction in farmland will be minimal, but there will still be some impact on carbon stocks. The driving forces of carbon stock supply vary significantly across different regions. In underdeveloped regions, population density and vegetation cover have a greater impact on carbon stocks. In developing and urban–rural combined regions, vegetation cover and population migration have a greater impact on carbon stocks. In developed regions, the area of artificial land and gross domestic product (GDP) have a greater impact on carbon stocks. The study results provide scientific evidence for regional land use planning and policy formulation. Full article
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