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宁夏土地利用碳排放时空差异及影响因素分析
摘要点击 3175  全文点击 464  投稿时间:2023-10-16  修订日期:2023-12-19
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中文关键词  土地利用  碳排放  时空差异  影响因素  宁夏
英文关键词  land use  carbon emission  spatial and temporal differences  influencing factors  Ningxia
作者单位E-mail
王亚娟 宁夏大学经济管理学院, 银川 750021 358437013@qq.com 
翟晨曦 宁夏大学经济管理学院, 银川 750021  
刘彩玉 宁夏大学经济管理学院, 银川 750021  
陈泽钰 宁夏大学经济管理学院, 银川 750021  
中文摘要
      系统分析土地利用碳排放时空差异、 探究其影响因素,对于合理配置土地资源、 促进该区域协同减排具有重要意义. 在对宁夏及各地级市2000~2021年土地利用碳排放测算的基础上,通过差异度指标、 碳排放强度、 经济贡献率和碳汇生态承载系数等指标反映碳排放的区域差异、 经济效率和碳汇能力,进一步采用LMDI对数分解法探究土地利用碳排放影响因素. 结果表明:①2000~2021年宁夏土地利用碳排放量呈显著增加态势, 增加了11 091.94万t,建设用地是主要碳源,2021年碳排放量占到总排放量的99.57%,林地作为主要碳吸收类型,在2021年碳吸收总量中占比为79.22%;②研究期内各地级市之间碳排放差异整体上表现为先上升又小幅回落的趋势,2016年差距达到最大;③虽然各地级市之间碳排放强度的总体差异呈缩小并收敛的趋势,但是各地级市的经济贡献系数和碳汇生态承载系数差异较大,经济贡献率和碳排放贡献率均处于相对不平衡状态,区域差异明显;④土地利用碳排放强度、 土地利用结构、 经济发展水平、 人口数量对于土地利用碳排放量均起到促进作用,贡献率分别为56.48%、 41.27%、 85.20%和9.29%,单位GDP用地强度贡献值为负,抑制土地利用碳排放量的增加.
英文摘要
      Analyzing the spatiotemporal differences in land use carbon emissions systematically and exploring their influencing factors for the rational allocation of land resources is of great importance and promoting collaborative emission reduction in this region. Based on the calculation of land use carbon emissions in Ningxia and its prefecture-level cities from 2000 to 2021, the regional differences in carbon emissions, economic efficiency, and carbon sink capacity were reflected through the difference index, carbon emission intensity, economic contribution rate, and carbon sink ecological carrying capacity. The results were as follows: ① From 2000 to 2021, the land use carbon emissions in Ningxia showed a significant increase by 110 919 400 t. Construction land was the main carbon source land, accounting for 99.57% of the total carbon emissions in 2021, and forest land was the main type of carbon absorption, accounting for 79.22% of the total carbon absorption in 2021. ② During the research period, the carbon emission difference among prefecture-level cities showed a trend of first rising and then slightly falling, with the gap reaching the maximum in 2016. ③ Although the overall difference in carbon emission intensity among prefecture-level cities showed a trend of narrowing and convergence, the economic contribution coefficient and carbon sink ecological carrying coefficient had significant differences, and the economic contribution rate and carbon emission contribution rate were both in a relatively unbalanced state, with obvious regional differences. ④ Land use carbon emission intensity, land use structure, economic development level, and population all played a promoting role in land use carbon emission, with contribution rates of 56.48%, 41.27%, 85.20%, and 9.29%, respectively. The contribution value of land use carbon intensity per unit GDP was negative, which inhibited the increase of land use carbon emission.

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