内蒙古多伦县土地利用碳排放及其影响因素分析
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摘要
以内蒙古多伦县为研究区,结合1985-2015年间统计数据和土地利用变更数据,借助土地利用碳排放计算模型和STIRPAT模型,分析区域土地利用碳排放动态变化及其主要影响因素。结果表明:土地利用碳排放的年均增加值为0. 684×10~4t,呈逐年增加趋势,其中建设用地的碳排放量起主导作用;单位GDP的碳排放强度呈逐年减少趋势;人均碳排放强度则呈逐年增加趋势。对土地利用碳排放影响最大的因素是GDP,其次是第一产业,其三是第三产业,最小的是人口数量。
Taking Duolun county,Inner Mongolia as the research area,statistical data and land use change data in 1985 to 2015 were used and by carbon emission calculation model and STIRPAT model,the dynamic changes of land use carbon emissions and their main influencing factors in area were analyzed. The results showed: the average annual carbon emissions from land use was 0. 684 × 104 t,showing an increasing trend. Among them,carbon emissions from construction land played a leading role. Carbon emission intensity of GDP per unit showed a decreasing trend year by year; per capita carbon emission intensity increased year by year. The most important factor affecting land use carbon emissions was GDP,followed by the primary industry,the third is the tertiary industry,and the last is the population.
Taking Duolun county,Inner Mongolia as the research area,statistical data and land use change data in 1985 to 2015 were used and by carbon emission calculation model and STIRPAT model,the dynamic changes of land use carbon emissions and their main influencing factors in area were analyzed. The results showed: the average annual carbon emissions from land use was 0. 684 × 104 t,showing an increasing trend. Among them,carbon emissions from construction land played a leading role. Carbon emission intensity of GDP per unit showed a decreasing trend year by year; per capita carbon emission intensity increased year by year. The most important factor affecting land use carbon emissions was GDP,followed by the primary industry,the third is the tertiary industry,and the last is the population.
引文
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[13]房飞,李滨勇,唐海萍.基于土地利用结构优化的土壤有机碳储量预测分析-以内蒙古多伦县为例[J].干旱区地理,2016,33(1):67-73.
[14]徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析[J].中国人口·资源与环境,2006,16(6):158-161.
[15]York R,Rose E A,Dietz T. A rift in modernity? Assessing the anthropogenic sources of global climate change with the STIRPAT model[J]. International Journal of Sociology and Social Policy,2003,23(10):31-51.
[16]孙贤斌.安徽省会经济圈土地利用变化的碳排放效益[J].自然资源学报,2012,27(3):394-401.
[17]陈志建,王铮,孙翊.中国区域人均碳排放的空间格局演变及俱乐部收敛分析[J].干旱区资源与环境,2015,29(4):24-29.
[2]王涛,冯杰.陕西省土地利用碳排放演变与影响因素分析研究[J].环境科学与管理,2016,41(12):25-29.
[3]於冉,田思萌.基于承载关系的合肥市土地利用碳排放效应分析[J].安徽农业大学学报,2016,43(6):939-945.
[4]Intergovernmental panel on Climate Change. Climate Change 2007:The Physical Science Basis. Contribution of Working Group I to the fourth Assessment Report of the Intergovernmental Panel on Climate Change[M]. Cambridge:Cambridge University Press,2007.
[5]韩骥,周翔,象伟宁.土地利用碳排放效应及其低碳管理研究进展[J].生态学报,2016,36(4):1152-1161.
[6]李小康,王晓鸣,华虹.土地利用结构变化对碳排放的影响关系及机理研究[J].生态经济,2018,34(1):14-19.
[7]冯杰,王涛.中国土地利用碳排放演变与影响因素分析[J].软科学,2016,30(5):88-89.
[8]赵荣钦,陈志刚,黄贤金,等.南京大学土地利用碳排放研究进展[J].地理科学,2012,32(12):1473-1479.
[9]郑欣,程久苗,郑硕.基于土地利用结构变化的芜湖市碳排放及其影响因素研究[J].水土保持研究,2012,19(3):260-268.
[10]张勇,张乐勤,汪应宏,等.安徽省池州市土地利用碳排放演变及其影响因素[J].中国农业大学学报,2014,19(2):216-223.
[11]吴海珍,阿如旱,郭田保,等.基于RS和GIS的内蒙古多伦县土地利用变化对生态服务价值的影响[J].地理科学,2011,27(3):394-401.
[12]秦富仓,周佳宁,刘佳,等.内蒙古多伦县土地利用动态变化及驱动力[J].干旱区资源与环境,2016,30(6):31-37.
[13]房飞,李滨勇,唐海萍.基于土地利用结构优化的土壤有机碳储量预测分析-以内蒙古多伦县为例[J].干旱区地理,2016,33(1):67-73.
[14]徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析[J].中国人口·资源与环境,2006,16(6):158-161.
[15]York R,Rose E A,Dietz T. A rift in modernity? Assessing the anthropogenic sources of global climate change with the STIRPAT model[J]. International Journal of Sociology and Social Policy,2003,23(10):31-51.
[16]孙贤斌.安徽省会经济圈土地利用变化的碳排放效益[J].自然资源学报,2012,27(3):394-401.
[17]陈志建,王铮,孙翊.中国区域人均碳排放的空间格局演变及俱乐部收敛分析[J].干旱区资源与环境,2015,29(4):24-29.