江阴市土地利用对碳储量的影响及优化研究

    Study on Carbon Storage Change and Optimization of Land Use in Jiangyin City

    • 摘要: 20世纪90年代以来,土地利用变化的碳效应及其对气候变化的影响一直是国内外学术界关注的热点。在碳中和目标下,如何通过优化土地利用来达到增碳减排的目的,是当前学术界和相关部门面临的机遇和挑战。以江阴市为例,分析2000—2015年土地利用变化及其对应的植被碳储量和土壤碳储量变化,并对未来的土地利用结构提出优化建议,主要结论如下:江阴市2000—2015年耕地面积逐年减少,主要转化为建设用地,建设用地面积逐年增加,其余土地利用类型变化幅度较小。由于土地利用变化,江阴市植被碳储量减少7.50万t,土壤碳储量减少0.76万t。其中,耕地、林地转出导致的碳储量损失最大。根据江阴市历史土地利用变化,基于碳储量最大化目标提出土地利用结构优化建议。优化模式下,2030年江阴市生态系统碳储量将达445.25万t,较自然增长模式增加0.29万t。

       

      Abstract: The carbon effect of land use change and its impact on climate change have been the focus of academic circles at home and abroad since the 1990s. Under the goal of carbon neutralization, how to achieve the purpose of carbon increase and emission reduction by optimizing land use is a new opportunity and challenge for the current academic research and natural resources authorities. Taking Jiangyin City as an example, this paper analyzes land use change of the city from 2000 to 2015 and its corresponding changes of vegetation carbon and soil carbon storage, and puts forward optimization suggestions for the future land use structure. The main conclusions are as follows: (1) From 2000 to 2015, the cultivated land area in Jiangyin City decreased year by year, mainly transformed into construction land, and the change range of other land use types is small. (2) Due to land use change, the carbon storage of vegetation in Jiangyin City decreased by 75 009.49 t and the carbon storage of soil decreased by 7 641.56 t. Among them, the transfer out of cultivated land and forest land led to the largest loss of carbon storage. (3) According to the historical land use change of Jiangyin City, based on the goal of maximizing carbon reserves, this paper puts forward suggestions on the optimization of land use structure in Jiangyin City. The results show that under the optimization mode, the carbon reserves of Jiangyin ecosystem will reach to 4.55 million t in 2030, an increase of 2 900 t compared with the natural growth mode.

       

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