摘要
Global warming has heightened the focus on carbon emissions. The IPCC 2023 Special Report: Climate Change and Land highlights the emerging field of land use-based carbon emissions characterization and prediction. This comprehensive review compares the advantages of Land Use and Land Cover Change in carbon emissions characterization and prediction against traditional methods. Using bibliometrics, the review analyzes the international attention, disciplines, and keywords of this field, revealing its division into methodological and empirical research. From the methodological perspective, the review summarizes key methods and core nodes, highlighting the limitations of existing frameworks and offering future outlooks. From the empirical perspective, it outlines carbon reduction strategies related to land use. The main conclusions include: 1) This emerging field offers several advantages, including high-precision data acquisition, spatial mapping of emissions, long-term predictive capabilities, real-time emission characterization, and the development of specific, controllable mitigation strategies; 2) It is advancing with technological progress and interdisciplinary collaboration, gaining global attention; 3) The field is divided into four directions, with emerging keywords identified for each, indicating that innovative methods will attract future attention; 4) Methodological goals include efficient land use subdivision, robust and interpretable regression modeling, and high-performance simulation model development; 5) Empirical research shows that land use planning, urban form control, and carbon reduction technologies reduce emission intensity, with broad applications and evaluations crucial for future research.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 102141 |
| 期刊 | Urban Climate |
| 卷 | 58 |
| DOI | |
| 出版状态 | 已出版 - 11月 2024 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 13 气候行动
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可持续发展目标 15 陆地生物
学术指纹
探究 'Characterizing and predicting carbon emissions from an emerging land use perspective: A comprehensive review' 的科研主题。它们共同构成独一无二的指纹。引用此
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