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低碳背景下我国内地各省区市林业碳汇时空分布特征

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本文指出全球气候变化导致极端气候事件频发,在全球绿化迫在眉睫的情况下,我国作为世界的一部分积极为这一过程做出贡献,中央做出了"碳中和""碳达峰"的重大战略决策,2030 年"碳中和"目标已然近在眼前,而林业碳汇正是我国大力发展碳汇中重要的一环.本文基于我国内地 31 个省区市 2003-2020 年各年林业碳汇总量,通过莫兰指数对其空间自相关情况进行分析,根据分析结果揭示了我国内地碳汇时空分布特征.结果表明:一是时间上,2003-2020 年我国内地各省区市林业碳汇呈现稳步提升的态势;二是空间上大致表现为西高东低的格局;三是通过冷热点分布与集聚区分布,可以看出我国内地各省区市林业碳汇存在明显的空间集聚现象,且此现象主要发生在东北部和西部.进一步分析了其时空分布特征的影响因素,并提出了可使得我国林业碳汇健全均衡发展的建议.
Temporal and Spatial Distribution Characteristics of Forestry Carbon Sinks in Provinces,Regions and Cities of Mainland China Under the Background of Low Carbon
This paper points out that global climate change leads to frequent extreme climatic events,under the circumstance of imminent global greening,China actively contributes to this process as a part of the world,the central government has made a major strategic decision of"Carbon Neutralization"and"Carbon Peak",the goal of"Carbon Neutralization"by 2030 is already in sight,and forestry carbon sink are an important part of China's efforts to develop carbon sink.Based on the total amount of forest carbon sink in 31 provinces,regions and cities of mainland China from 2003 to 2020,the spatial autocorrelation of forest carbon sink is analyzed by Moran index,and the spatial and temporal distribution characteristics of carbon sink in mainland China are revealed according to the results.The results showed that:firstly,in terms of time,the forest carbon sink showed a trend of steady improvement from 2003 to 2020;secondly,the spatial pattern is generally high in the west and low in the east;thirdly,it can be seen that there is an obvious spatial agglomeration phenomenon of forestry carbon sink in provinces,regions and cities of mainland China,and this phenomenon mainly occurs in the northeast and west.This paper analyzes its influence factors of temporal and spatial distribution characteristics and puts forward some suggestions which can make Chinese forestry carbon sink sound and balanced development.

forestry carbon sinkMoran indexspatial correlation

姜慧卓、陈心胜、李文泽、叶靖程、安家蔚、张春于

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安徽大学商学院, 安徽 合肥 230601

安徽大学资源与环境工程学院, 安徽 合肥 230601

安徽大学大数据与统计学院, 安徽 合肥 230601

林业碳汇 莫兰指数 空间相关性

安徽省大学生创新创业项目

202210357259

2024

科技创新与生产力
太原科技战略研究院

科技创新与生产力

影响因子:0.271
ISSN:1674-9146
年,卷(期):2024.45(1)
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