长江流域资源与环境 >> 2025, Vol. 34 >> Issue (3): 546-557.doi: 10.11870/cjlyzyyhj202503007

• 自然资源 • 上一篇    下一篇

鄱阳湖流域土地利用变化对碳源/汇时空格局的影响

黄湲婷,钟业喜*,毕曼玉   

  1. (江西师范大学地理与环境学院,江西 南昌 330000)
  • 出版日期:2025-03-20 发布日期:2025-03-20

Effects of Land Use Change on Spatio-temporal Pattern of Carbon Source/Sink in Poyang Lake Basin

HUANG Yuan-ting1,ZHONG Ye-xi2,BI Man-yu3   

  1. (Geography and Environment of Jiangxi Normal Unversity, Nanchang 330000,China)
  • Online:2025-03-20 Published:2025-03-20

摘要: 准确估算区域的碳储量和碳排放,科学制定土地利用政策和生态环境保护措施,对于促进区域低碳可持续发展,实现碳达峰和碳中和目标具有重要意义。以鄱阳湖流域为例,选取1990、2000、2010和2020年的土地利用数据,采用InVEST模型估算碳汇,并通过碳排放系数法和能源消费算法估算碳源,分析了不同土地利用变化下的碳源/碳汇时空格局。结果表明:(1)鄱阳湖流域以耕地和林地为主,近30年来耕地和林地大幅减少,建设用地显著增加。(2)1990~2020年,鄱阳湖流域碳储量呈先略微上升后逐渐下降的趋势,空间分布异质性显著“环鄱阳湖周边地区低,四周高”;碳储量增长主要来源于耕地转林地、草地转林地以及水域转耕地,而耕地、林地转出引起碳储量大量减少。(3)1990~2020年,鄱阳湖流域整体净碳排放先缓慢增长后迅速增长,建设用地是主要碳排放来源;其中,碳排放主要分布在环鄱阳湖区的经济相对发达地区与南部地区,南昌市最为显著。(4)碳足迹压力指数呈现显著增加的趋势,南昌市、新余市、萍乡市、鹰潭市属于高压力城市,低压力城市主要有赣州市、抚州市、吉安市和上饶市。

Abstract: In order to promote low-carbon sustainable development and achieve carbon peaking and carbon neutrality goals, it is important to estimate regional carbon storage and carbon emissions. This study took Poyang Lake Basin as an example. Land use data for 1990, 2000, 2010, and 2020 were selected. The InVEST model was used to estimate carbon sequestration. The carbon emission coefficient method combined with the energy consumption algorithms was used to estimate carbon sources. The spatial-temporal pattern of carbon sources/sinks under different land use changes was analyzed. The results indicated: (1) The Poyang Lake Basin was primarily composed of cropland and forestland. Over the past 30 years, there had been a significant reduction in both cropland and forestland, while construction land had markedly increased. (2) From 1990 to 2020, the carbon storage in the Poyang Lake Basin first slightly increased and then gradually decreased, with significant spatial heterogeneity—lower around the lake area and higher in the surrounding regions. The growth in carbon storage mainly stemmed from the conversion of cropland to forestland, grassland to forestland, and water bodies to cropland, while the conversion out of cropland and forestland led to a substantial reduction in carbon storage. (3) Between 1990 and 2020, the net carbon emissions initially increased slowly and then increased rapidly. Construction land was the primary source of carbon emissions, which were mainly distributed in the economically developed areas around the lake and in the southern regions, with Nanchang being the most prominent. (4) The carbon footprint pressure index showed a significant increasing trend. Nanchang, Xinyu, Pingxiang, and Yingtan were categorized as high-pressure cities, while Ganzhou, Fuzhou, Ji'an, and Shangrao were identified as low-pressure cities.

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