基于PLUS-InVEST-GeoDetector模型的黄河中游碳储量时空变化及驱动因素[j]。

Q2 Environmental Science
Fan-Fan Bi, Zhi-Tao Wu, Han-Xue Liang, Zi-Qiang Du, Tian-Jie Lei, Bin Sun
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引用次数: 0

摘要

研究黄河中游碳储量时空变化特征及其驱动因素,对于实现“双碳”规划背景下的黄河中游可持续发展和区域生态保护具有重要意义。以2000 - 2020年黄河中游土地利用数据为研究对象,以5年为间隔,结合PLUS-InVEST-GeoDetector模型,估算并分析了黄河中游土地利用碳储量的时空演化特征,探讨了影响黄河中游土地利用碳储量时空分异的驱动因素。最后,在自然开发、生态保护、经济发展和耕地保护4种发展情景下,对2030年黄河中游碳储量进行了预测。结果表明:①2000 ~ 2020年,黄河中游碳储量呈持续增长趋势,增加幅度为5.75×107 t,空间分布演变较为稳定,呈现“东南高于西北”的特征。②2000—2020年,黄河中游碳储量在时空上呈现分化,各驱动要素的交互作用检测呈现双因子增强和非线性增强。主要驱动力是NDVI。③2020 ~ 2030年,黄河中游4种情景的碳储量与2020年相比均呈增加趋势。其中,生态保护情景的碳储量在3.93×107 t时增幅最大,而经济增长情景的碳储量在4.8×106 t时增幅最小。研究结果将为黄河中游的长期发展和生态环境管理提供一定的依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Spatio-temporal Changes and Driving Factors of Carbon Storage in the Middle Reaches of the Yellow River Based on PLUS-InVEST-GeoDetector Model].

Studying the temporal and spatial variation characteristics and driving factors of carbon reserves in the middle reaches of the Yellow River is crucial for achieving sustainable development and regional ecological conservation against the backdrop of the "double carbon" plan. Based on the five-year interval, the land use data of the middle reaches of the Yellow River from 2000 to 2020 were selected, and the spatio-temporal evolution characteristics of carbon reserves were estimated and analyzed by coupling with the PLUS-InVEST-GeoDetector model, and the driving factors affecting the spatio-temporal differentiation of carbon reserves were discussed. Finally, the carbon reserves of the middle reaches of the Yellow River in 2030 were predicted under four developmental scenarios: natural development, ecological protection, economic development, and cultivated land protection. The findings indicate that: ① The middle reaches of the Yellow River's carbon storage showed a consistent growth trend between 2000 and 2020, exhibiting an increase by 5.75×107 t. The evolution of the spatial distribution was reasonably stable, exhibiting the characteristics of "southeast is higher than northwest." ② The middle reaches of the Yellow River's carbon storage differentiated both spatially and temporally between 2000 and 2020, with two-factor enhancement and nonlinear enhancement observed in the interaction detection of each driving element. The main driving force was the NDVI. ③ From 2020 to 2030, the carbon storage of the four scenarios in the Yellow River's middle reaches showed an increasing trend in comparison to that in 2020. Of them, the carbon storage of the ecological preservation scenario rose the highest at 3.93×107 t, while the carbon storage of the economic growth scenario increased the least at 4.8×106 t. The findings of the study will offer some evidence in favor of the middle reaches of the Yellow River's long-term development and ecological environment management.

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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