基于InVEST模型的江苏海岸带生态系统碳储量时空变化研究  

Research on the Spatiotemporal Variation of Carbon Storage in Coastal Zone Ecosystem of Jiangsu Based on InVEST Model

作　　者：张云倩[1,2] 张晓祥[3] 陈振杰[1,2] 王伟玮[3] 陈东[1,2] 

机构地区：[1]南京大学地理与海洋科学学院,南京210023 [2]南京大学江苏省地理信息技术重点实验室,南京210023 [3]河海大学地理信息科学与工程研究所,南京210098

出　　处：《水土保持研究》2016年第3期100-105,111,共7页Research of Soil and Water Conservation

基　　金：国家科技支撑计划项目课题(2012BAH28B02);国土资源部公益性行业科研专项(201411014-03);国家自然科学基金(41571378)

摘　　要：研究改革开放以来长时间序列的江苏海岸带生态系统碳储量时空变化,对于保证我国东部沿海地区环境与经济协调发展显得十分迫切和必需。以江苏沿海3市海岸带为对象,通过获取1975—2007年的遥感影像数据,采用InVEST(Integrated Valuation of Environmental Services and Tradeoffs)模型对江苏海岸带生态系统的碳储量进行定量评估,构建了长时间序列的碳储量变化数据,并结合ESDA(Exploratory Spatial Data Analysis)方法研究其空间相关性,探讨了江苏海岸带碳储量的时空变异。结果表明:江苏海岸带总碳储量呈增长趋势,但单位土地面积的碳储量呈降低趋势;该区域碳储量在空间分布上呈现一定的空间相关性,主要体现在连云港云台山境内、新沂河泛洪区和盐城滨海苇地是碳储量的高集聚区,城镇是碳储量的低集聚区。It is urgent to investigate the spatiotemporal variation of carbon storage in coastal zone ecosystem of Jiangsu Province since the reform and opening up in China with respect to harmonizing the environment with economic development.The remote sensing images which date from the year of 1975 to 2007were acquired.The integrated valuation of environmental services and tradeoffs（InVEST）model was utilized to evaluate the amount of carbon storage in coastal zone of Jiangsu Province.Long time series of carbon storage data were built.The spatial analysis method was used to investigate the spatial correlation of the ecosystem services and to explore the pattern of spatiotemporal variation.Some basic conclusions can be drawn from the experimental results.The total amount of carbon storage increased while the amount of carbon storage per unit area decreased.The amount of carbon storage in this area presented highly spatial agglomeration and obvious relevance.Specifically,the amounts of carbon storage in Yuntaishan Mountain of Lianyungang City,floodplain of Xinyi River,coastal reeds of Yancheng City were high while those in cities and towns were low.

关 键 词：碳储量 InVEST模型 空间相关性 时空变化 江苏海岸带 

分 类 号：S154.1[农业科学—土壤学]