盐城市县域碳汇时空特征及影响因素分析

Q2 Environmental Science
Jian-Bao Li, Cai-Li Zhang, Hong-Mei Chen, Xiao-Feng Zhao, Ying Li, Pei-Zhen Wang
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引用次数: 0

摘要

采用核密度法、趋势分析法和标准差椭圆法研究了1990 - 2020年盐城市碳汇的时空特征,并构建多尺度地理加权回归分析了影响碳汇的主要因素。结果表明:①碳汇总体呈增加趋势。碳汇的绝对差异总体上呈波动上升趋势,与相对差异一致。县域间碳汇不平衡,且呈增加趋势。②1990—2020年,盐城碳汇高值区主要分布在沿海地区,碳汇空间格局较为稳定。其空间分布特征为西、北低、东、南高。碳汇的标准差椭圆中心遵循一个10年的周期,在此期间发生了相当大的变化。③多尺度地理加权回归模型结果表明,第二产业比重、人均国内生产总值、人口密度和土地利用强度对碳汇的影响程度不同。第二产业对碳汇的负面影响最大,降低第二产业比重对提高碳汇至关重要。
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 Characteristics and Influencing Factors of Carbon Sinks at the County Level in the Yancheng City].

The spatio-temporal characteristics of carbon sinks in the Yancheng City from 1990 to 2020 were investigated using kernel density, trend analysis, and standard deviation ellipse, and a multi-scale geographically weighted regression was constructed to analyze the main factors influencing carbon sinks. The results showed that: ① The carbon sinks generally exhibited an increasing trend. The absolute difference in carbon sinks showed an overall fluctuating upward trend, consistent with the relative difference. An imbalance in carbon sinks was observed among different counties, and it showed an increasing trend. ② From 1990 to 2020, the high value areas of carbon sinks were mainly distributed in the coastal areas of Yancheng, and the spatial pattern of carbon sinks was stable. The spatial distribution characteristic was low in the west and north and high in the east and south. The center of the standard deviation ellipse of the carbon sinks followed a 10-year cycle and shifted considerably over this period. ③ The results of the multi-scale geographically weighted regression model showed that the proportion of secondary industry, per capita gross domestic product, population density, and land use intensity had different effects on carbon sinks. The secondary industry had the strongest negative effect on carbon sinks, making it crucial to reduce its proportion to enhance carbon sinks.

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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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