[A Method for Fine Mapping of Carbon Emissions from Regional Land Use Change and Its Application].

Q2 Environmental Science
Quan-Fang Wang, Yu-Han Jin, Pei Sun, Ying Xiao, Zhi-Hao Chen, Ze-Ru Lu, Heng-Shuo Liang
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引用次数: 0

Abstract

Land use changes are always patchy and widespread within a region, making it a challenge to identify the point-scale pressure of reducing carbon emissions from land use/cover change (LUCC). The carbon emission observation index (CEOI) was thus proposed to conduct the point-scale comparability analysis, which was based on the unique net C flux effects of conversions between two different land use types. Then, the spatial-temporal characteristics of land use changes and the resulting pressure of reducing carbon emissions were studied in the Weihe River Basin of China, which adopted the LUCC data from 2000 to 2020 and models of the Markov transition matrix (MTM), compound carbon emission coefficients (CEC) of various types of land use changes, and the CEOI-based classification method on point-scale pressure of reducing carbon emissions. The results showed that: ① The net C flux was from 3.551 Tg C (2000-2010) to 7.031 Tg C (2010-2020), and the pressure of reducing carbon emissions from LUCC had been continuously increasing, which was mainly driven by the significant increase in change-spots with the super-strong ability to reduce carbon emissions. ② Due to contributions from change spots with carbon uptake ability, the amount of carbon released to the atmosphere was eliminated by approximately 19.21% over the period 2000-2020 and approximately 37.4% during 2000-2010. ③ Change spots on various pressure levels for reducing carbon emissions were distributed unevenly in the basin, with their gravity points in the previous 10 years (2010-2020) far away from those during 2000-2010. Additionally, the gravity points of change-spots with a strong ability to reduce carbon emissions from conversions of grassland into forestland moved northeastward from Tianshui City to Pingliang City, whereas the gravity points of other change-spots with different abilities to reduce carbon emissions were mostly northwestward to the north-central region with higher elevations from the Middle and Lower Reaches of the Weihe River Basin with low elevations.

[区域土地利用变化碳排放精细绘图方法及其应用]。
土地利用的变化在一个区域内总是零星而广泛的,这就给确定土地利用/植被变化(LUCC)的点尺度碳减排压力带来了挑战。碳排放观测指数(CEOI)该指标基于两种不同土地利用类型之间转换的独特净碳通量效应,进行点尺度可比性分析。然后,以中国渭河流域为研究对象,采用 2000~2020 年的土地利用变化(LUCC)数据,通过马尔科夫转换矩阵(MTM)、各类土地利用变化的复合碳排放系数(CEC)、土地利用变化对碳排放的影响等模型,研究了土地利用变化的时空特征及其带来的碳减排压力。基于 CEOI 的点尺度碳减排压力分类方法。结果表明: ① 净碳通量从 2000-2010 年的 3.551 Tg C到 7.031 Tg C(2010-2020 年),LUCC 的碳减排压力持续增大,这主要得益于碳减排能力超强的变化点大幅增加。由于具有碳吸收能力的变化点的贡献,2000-2020 年期间向大气排放的碳量减少了约 19.21%,2000-2010 年期间减少了约 37.4%。在 2000-2020 年期间,向大气排放的碳量减少了约 19.21%,在 2000-2010 年期间减少了约 37.4%。与 2000-2010 年的重心点相距甚远。此外,草地变林地碳减排能力强的变化点重心由天水市向东北方向移动至平凉市,而其他碳减排能力不同的变化点重心多由渭河流域海拔较低的中下游地区向西北方向移动至海拔较高的中北部地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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