江苏省县域种植业碳源/汇测算与农业园区空间相关性分析

doi:10.19741/j.issn.1673-4831.2022.1144

Abstract

Abstract: Modern agricultural parks play an important role in promoting the green low-carbon transformation of regional planting industry. Overall consideration of parks development and emission reduction and carbon fixation is an effective means to achieve the dual carbon goal of planting industry. In this study, the carbon emission, carbon sink, net carbon sink and net carbon sink intensity of planting in 77 county-level administrative units in Jiangsu Province in 2020 were measured from the county perspective, and their spatial distribution patterns are described; By understanding the crop planting structure and varieties of the leading industry in modern agricultural parks in different counties, the parks were reasonably clustered and their carbon sink intensity was measured. Further, combined with bivariate spatial autocorrelation, the spatial correlation model between parks construction and regional net carbon sink intensity was quantitatively identify. The results show that:(1) In 2020, the net carbon sink of planting industry in all counties of Jiangsu Province was positive, showing a carbon ecological surplus state. The carbon emission, carbon sink, net carbon sink and net carbon sink intensity showed the characteristics of northern > central > southern of the province, and there were great differences among different counties. (2) According to the types of leading industry crops, modern agricultural parks in Jiangsu Province could be divided into 7 categories, with the carbon sink intensity ranked as:grain-oil crops dominant type > grain-oil and flower-fruit crops dominant type > grain-oil and vegetable crops dominant type > flower-fruit crops dominant type > multiple crops dominant type > vegetable and flower-fruit crops dominant type > vegetable crops dominant type. (3) There was a significant spatial negative correlation between the construction scale of the parks and the regional net carbon sink intensity, the local spatial pattern showed a spatial pattern of "low-high in contiguous distribution, low-low, high-high and high-low in scattered distribution".

Key words: planting industry, modern agricultural parks, emission reduction and carbon fixation, net carbon sink intensity, spatial correlation

CLC Number:

F323.1
F205

GONG Yu, LU Jian-fei, LUO Yun-jian, TIAN Kun, LI Xiao-ming, CAI Han. Spatial Correlation Analysis Between Carbon Source/Sink Measurement and Agricultural Parks in Jiangsu Province[J]. Journal of Ecology and Rural Environment, 2023, 39(8): 963-972.

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Spatial Correlation Analysis Between Carbon Source/Sink Measurement and Agricultural Parks in Jiangsu Province

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