村庄用地变化碳效应时空分异及影响因素分析: 以江苏省为例

Analysis of Spatio-temporal Differentiation of Carbon Effects of Rural Land Use Changes and the Influencing Factors: Case of Jiangsu Province

  • 摘要: 推动村庄土地利用效率的提升, 是国土空间低碳转型的重要内容。以江苏为实证区域, 以5年为1期, 研究1990-2020年间村庄用地变化碳效应及其多因素影响规律, 为制定精细的差异化碳减排政策措施提供支持。采用碳排放系数、几何重心分析、莫兰指数及多元逐步回归分析方法对江苏省县区碳排放、用地变化碳效应时空格局及影响因素进行研究。结果表明: (1)江苏省各县区村庄碳效应总体呈碳排放效应, 但地均净碳排放强度持续降低且具有显著的空间正相关性; (2)全省各县区流入碳效应呈碳排放效应, 在空间上总体呈南高北低、西高东低的分布格局; (3)在全局影响因素分析中, 乡村人口密度、村庄距河流距离、城镇工矿用地比重对村庄用地变化碳效应的影响较大; (4)年度影响因素分析显示, 村庄生产生活活动产生巨大的碳排放量, 乡村人口密度、村庄距河流平均距离和第一产业产值占比等因素是流入碳效应的主要影响因素, 其中人口因素的影响周期相对较长, 综合碳效应影响因素与流入碳效应相似。研究结果可为进一步规范地方性碳减排政策的制定及村庄土地利用效率的提升提供指导。

     

    Abstract: It is an important issue in low-carbon transformation in territorial spatial planning to promote the efficiency of village land use. In order to support the formulation of refined and differentiated carbon-reduction policies/ regulations for Jiangsu Province, we explored the carbon emission effects of village land-use change and their multi-factor drivers from 1990 to 2020 in the province. Specifically, with the employment of carbon-emission coefficients, geometric-centroid analysis, Moran's I, and stepwise multiple regression methods, the spatio-temporal patterns of carbon emissions and the carbon effects of land-use change at the county level in Jiangsu, together with their influencing factors were systematically analyzed. The results show that: (1) Carbon emissions of village land in individual counties basically show a net emission effect, while net emissions per area has declined steadily and displays significant positive spatial autocorrelation. (2) Carbon-emission of village land transferred from other land use types in individual counties show a net emission effect as well, with a spatial pattern characterized by higher values in the south and west and lower values in the north and east. (3) According to the global scale assessment, rural population density, distance of villages to rivers, and the proportion of urban and mining land have higher impacts on the carbon emission of village land-use change than other factors. (4) In the annual-based assessment, it is shown that the village production and living activities generated substantial carbon emissions. Besides, rural population density, distance to rivers, and the share of primary-industry output are the primary factors influencing the carbon-emission of village land transferred from other land use types, among which population exerts a relatively long-term influence. The determinants of overall carbon effects are similar to those of inflow carbon effects. Our research achievements could provide guidance for further refining localized carbon-reduction policies and enhancing village land-use efficiency.

     

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