铜陵县土地利用碳排放效应及空间格局分析
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摘要
根据土地利用变更数据及能源消费资料,采用直接碳排放系数法,对铜陵县2000~2013年土地利用碳排放效应进行了估算,并结合TM影像,采用地统计分析,对铜陵县土地利用碳排放风险时空格局进行了分析。结果表明:1碳排放量总体上呈现增加的趋势。从2000年4.08万t增长到2013年的223.09万t,增加了219.01万t。2建设用地是主要的碳源,林地是主要的碳汇,13年间建设用地的碳排放量增长了219.17万t,对碳排放总量的贡献率高达92.26%;林地的碳吸收量维持在1.20万~1.24万t,对碳汇作用的贡献率达到60.52%。3在时空格局分布上,2000~2010年铜陵县土地利用碳排放风险指数在不断变大;碳排放风险指数与土地利用类型的空间分布有极大的相关性,从城镇向外推进的过程中呈现出由高到低的变化趋势。
Using the data of land use change and energy consumption information and adopting direct carbon emission coefficient method,the land use effects of carbon emissions of Tongling County during 2000-2013 were estimated. Combined with TM images,using geostatistics analysis,the temporal and spatial patterns of carbon emission risks of land use of Tongling County were analyzed. The results showed that land use carbon emissions of Tongling County in the mass presented the trend of growing. The number of carbon emissions was creeping up from40 800 tons of 2000 to 2 230 900 tons of 2013,and it has increased 2 190 100 tons. Construction land is the main carbon source and forest land is the main carbon sequestration,and in 13 years,carbon emissions of construction land has increased 2 191 700 tons,and the contribution rate to carbon emissions was 92. 26%; carbon absorption of forest land maintained at between 1. 20 million-1. 24 million tons,and the contribution rate to carbon sequestration was up to 60. 52%. On the spatio-temporal distribution pattern,index of carbon emission risk of land use of Tongling County during 2000-2010 became larger and larger; index of carbon emission risk and spatial distribution of land use types were greatly related,and it showed a trend that it is from high to low in the process of promoting outward from the town.
Using the data of land use change and energy consumption information and adopting direct carbon emission coefficient method,the land use effects of carbon emissions of Tongling County during 2000-2013 were estimated. Combined with TM images,using geostatistics analysis,the temporal and spatial patterns of carbon emission risks of land use of Tongling County were analyzed. The results showed that land use carbon emissions of Tongling County in the mass presented the trend of growing. The number of carbon emissions was creeping up from40 800 tons of 2000 to 2 230 900 tons of 2013,and it has increased 2 190 100 tons. Construction land is the main carbon source and forest land is the main carbon sequestration,and in 13 years,carbon emissions of construction land has increased 2 191 700 tons,and the contribution rate to carbon emissions was 92. 26%; carbon absorption of forest land maintained at between 1. 20 million-1. 24 million tons,and the contribution rate to carbon sequestration was up to 60. 52%. On the spatio-temporal distribution pattern,index of carbon emission risk of land use of Tongling County during 2000-2010 became larger and larger; index of carbon emission risk and spatial distribution of land use types were greatly related,and it showed a trend that it is from high to low in the process of promoting outward from the town.
引文
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[2]周玉荣,于振良,赵士洞.我国主要森林生态系统碳贮量和碳平衡[J].植物生态学报,2000(5):518-522.
[3]方精云,陈安平.中国森林植被碳库的动态变化及其意义[J].植物学报,2001(9):967-973.
[4]刘子刚,张坤民.湿地生态系统碳储存功能及其价值研究[J].环境保护,2002(9):31-33.
[5]周涛,史培军,王绍强.气候变化及人类活动对中国土壤有机碳储量的影响[J].地理学报,2003(5):727-734.
[6]刘纪远,王绍强,陈镜明,等.1990~2000年中国土壤碳氮蓄积量与土地利用变化[J].地理学报,2004(4):483-496.
[7]刘英,赵荣钦,焦士兴.河南省土地利用碳源/汇及其变化分析[J].水土保持研究,2010(5):154-157.
[8]曲福田,卢娜,冯淑怡.土地利用变化对碳排放的影响[J].中国人口·资源与环境,2011(10):76-83.
[9]李颖,黄贤金,甄峰.江苏省区域不同土地利用方式的碳排放效应分析[J].农业工程学报,2008(S2):102-107.
[10]彭文甫,樊淑云,潘荟交,等.区域土地利用变化的碳排放效应及时空格局研究[J].生态经济,2013(9):28-33.
[11]李红霞.基于粒子群算法的低碳土地利用结构优化配置研究[D].武汉:武汉大学,2011.
[12]董祚继.低碳概念下的国土规划[J].城市发展研究,2010(7):1-5.
[13]CAI Z C,KANG G D,TSURUTA H,et al.Estimate of CH4emissions from year-round flooded rice field during rice growing season in China[J].Pedosphere,2005,15(1):66-71.
[14]方精云,郭兆迪,朴世龙,等.1981-2000年中国陆地植被碳汇的估算[J].中国科学,2007,37(6):804-812.
[15]管东生.广州市森林生态系统的特征及其对碳氧平衡作用的研究[M]//中国地理学会自然地理专业委员会.全球变化区域影响研究.北京:人民教育出版社,2000.
[16]赖力.中国土地利用碳排放效益研究[D].南京:南京大学,2010.
[17]石洪昕.四川省广元市土地利用变化的碳排放效应研究[D].西安:西北农林科技大学,2012.
[18]段晓男,王效科,逯非,等.中国湿地生态系统固碳现状和潜力[J].生态学报,2008(2):463-469.
[19]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:1995-2004[J].中国人口·资源与环境,2006(6):158-161.
[20]韦玉春.遥感数字图像处理教程[M].北京:科学出版社,2007.
[21]臧淑英,梁欣,张思冲.基于GIS的大庆市土地利用生态风险分析[J].自然灾害学报,2005(4):141-145.
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