Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Contribution of multi-objective land use optimization to carbon neutrality: A case study of Northwest China

作者:Ning Chen, Cunlin Xin, Bo Zhang, Shunjie Xin, Daobin Tang, Hongxiang Chen, Xinshu Ma · 发表于:Ecological Indicators · 年份:2023 · DOI:10.1016/j.ecolind.2023.111219 · 被引用次数:43 · 研究领域:Land Use and Ecosystem Services、Conservation, Biodiversity, and Resource Management、Forest Management and Policy

Land use and land cover (LULC) patterns fundamentally influence the carbon cycle of terrestrial ecosystems, and rational optimization of LULC patterns can contribute to achieving carbon neutrality goals. This study constructs a multi-objective LULC optimization coupled model by integrating the objective of carbon neutrality into the LULC optimization process, with Northwest China serving as the study case. This model integrated the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model with the Intergovernmental Panel on Climate Change (IPCC) inventory methodology to assess the spatiotemporal variations in carbon storage and emissions in Northwest China between 2000 and 2020, which aimed to elucidate the mechanisms through which changes in LULC affect carbon neutrality. Additionally, through the amalgamation of the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and the Patch-Generating Land Use Simulation (PLUS) model, optimized the quantitative structure and spatial layout of four LULC scenarios for Northwest China in 2060: natural development (ND), low carbon emissions (CE), high carbon storage (CS), and carbon neutrality (CN), projected the evolving pathways of carbon storage and emissions within these scenarios while examining the values of different LULC scenarios and their respective contributions to carbon neutrality. The study's findings underscore that the substantial expansion of built-up land development areas and farmland from 2000 to 2020 ...