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- 2018
基于土地利用变化的鄱阳湖生态经济区生态系统服务价值时空变化研究
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Abstract:
基于鄱阳湖生态经济区2005年、2010年、2013年3期遥感解译的土地利用矢量数据,根据鄱阳湖生态经济区的地理特征,修订了谢高地的“中国生态系统单位面积生态服务价值当量”表,得出了“鄱阳湖生态经济区生态系统单位面积生态服务价值当量”表,再利用R.Costanza等提出来的生态系统服务价值的计算公式,估算了鄱阳湖生态经济区的生态系统服务价值,分析了2005―2013年间的时空变化.结果表明:2005―2013年,鄱阳湖生态经济区土地利用面积减少的有草地、耕地、林地、未利用地,而面积增加的有建设用地和水域; 2005―2013年,鄱阳湖生态经济区的生态系统服务价值先增加再减少,其中最主要的生态系统服务功能是水源涵养、土壤形成与保护、废物处理、生物多样性保护,4者的总价值超过了生态系统服务功能总价值的55%; 各地区的地均生态系统服务价值存在明显的差异,2005―2013年,除了余干县、永修县、都昌县、鄱阳县、进贤县的地均生态系统服务价值增加外,其余县市的地均生态系统服务价值都减少,其中星子县和九江市区为最高损失区.
Based on the vector data interpreted by remote sensing of Poyang lake ecological economic zone in 2005,2010 and 2013 year,the calculation formula of ecosystem service value revised by Costanza is adopted and the ecosystem service value of Poyang lake ecological economic zone is estimated,as well as its temporal and spatial variation characteristics during these years are analyzed,which is based on the revision on "the equivalent value per unit area of ecosystem services in China" of Xie Gaodi.It shows that from 2005 to 2013 year,there is a decrease of the acreage of grassland,cropland,woodland and unused land in Poyang Lake ecological economic zone,meanwhile,there increases the acreage of construction land as well as water.During the same period,the ecosystem services value of Poyang Lake ecological economic zone increases at first and decreases later,in which water conservation,waste treatment,the formation and protection of oil and biodiversity conservation are the main ecosystem service functions and the total value of these is more than 55% of the total ecosystem service value.There are obvious differences of the average regional ecological service value in all regions.Between 2005 and 2013 year,apart from Yugan county,Yongxiu county,Duchang county,Poyang county and Jinxian county where there is an increase of average regional ecological system service value,yet in the other counties and cities,the average regional ecological system serves value is decreasing and among this,Xingzi county and Jiujiang city have the highest loss