PDF Download

[1]ZHANG Yunqian,ZHANG Xiaoxiang,CHEN Zhenjie,et al.Research on the Spatiotemporal Variation of Carbon Storage in Coastal Zone Ecosystem of Jiangsu Based on InVEST Model[J].Research of Soil and Water Conservation,2016,23(03):100-105,111.

Copy

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

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 03 Page number: 100-105,111 Column: Public date: 2016-06-28

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

Author(s):: ZHANG Yunqian^1,2, ZHANG Xiaoxiang³, CHEN Zhenjie^1,2, WANG Weiwei³, CHEN Dong^1,2; 1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China;
2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;
3. Institute of Geographical Information Science and Engineering, Hohai University, Nanjing 210098, China

Keywords:: carbon storage; InVEST model; spatial correlation; spatiotemporal variation; coastal zone of Jiangsu Province

CLC:: S154.1;TP79

DOI:: -

Abstract:: 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 2007 were 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.

References:: [1] 高扬,何念鹏,汪亚峰.生态系统固碳特征及其研究进展[J].自然资源学报,2013,28(7):1264-1274.
[2] 王玉,贾晓波,张文广,等.江苏海岸带土地利用变化及驱动力分析[J].长江流域资源与环境,2010,19(S1):7-12.
[3] 戴亚南,彭检贵.江苏海岸带生态环境脆弱性及其评价体系构建[J].海洋学研究,2009,27(1):78-82.
[4] 王绍强,周成虎,李克让,等.中国土壤有机碳库及空间分布特征分析[J].地理学报,2000,55(5):533-544.
[5] 解宪丽,孙波,周慧珍,等.中国土壤有机碳密度和储量的估算与空间分布分析[J].土壤学报,2004,41(1):35-43.
[6] 杨园园.三江源区生态系统碳储量估算及固碳潜力研究[D].北京:首都师范大学,2012.
[7] Myeong S, Nowak D J, Duggin M J. A temporal analysis of urban forest carbon storage using remote sensing[J]. Remote Sensing of Environment,2006,101(2):277-282.
[8] 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:D辑,2007,37(6):804-812.
[9] 张宏锋,欧阳志云,郑华,等.玛纳斯河流域农田生态系统服务功能价值评估[J].中国生态农业学报,2009,17(6):1259-1264.
[10] 蔡广鹏,韩会庆,张凤太,等.喀斯特地区贵州省绥阳县土地利用/覆被变化对陆地植被碳储量的影响[J].水土保持研究,2012,9(4):122-125.
[11] 毕珍,石辉,许五弟,等.四川盆地森林土壤的有机碳储量及其空间分布特征[J].水土保持研究,2009,16(5):83-87.
[12] Goldstein J H, Caldarone G, Duarte T K, et al. Integrating ecosystem-service tradeoffs into land-use decisions[J]. Proceedings of the National Academy of Sciences,2012,109(19):7565-7570.
[13] Nelson E, Mendoza G, Regetz J, et al. Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales[J]. Frontiers in Ecology and the Environment,2009,7(1):4-11.
[14] 彭怡.Invest模型在生态系统服务功能评估中的应用研究:以四川汶川地震灾区为例[D].北京:中国科学院研究生院,2010.
[15] 白杨,郑华,庄长伟,等.白洋淀流域生态系统服务评估及其调控[J].生态学报,2013,33(3):711-717.
[16] 杨芝歌,周彬,余新晓,等.北京山区生物多样性分析与碳储量评估[J].水土保持通报,2012,32(3):42-46.
[17] 黄绍霖,徐涵秋,曾宏达,等.福建长汀河田盆地的马尾松林碳储量时空动态变化[J].地球科学:中国地质大学学报,2013,38(5):1081-1089.
[18] 王淑君,管东生,黎夏,等.广州森林碳储量时空演变及异质性分析[J].环境科学学报,2008,28(4):778-785.
[19] 柳梅英,包安明,陈曦,等.近30 a玛纳斯河流域土地利用/覆被变化对植被碳储量的影响[J].自然资源学报,2010,25(6):926-938.
[20] 唐得昊,邹欣庆,刘兴健.海岸带生态系统健康评价中能质和生物多样性的差异:以江苏海岸带为例[J].生态学报,2013,33(4):1240-1250.
[21] 陶丽华,朱晓东,桂峰.苏北辐射沙洲海岸带农业景观生态分析与优化设计[J].环境科学,2001,22(3):118-122.
[22] 李加林,张忍顺,王艳红,等.江苏淤泥质海岸湿地景观格局与景观生态建设[J].地理与地理信息科学,2003,19(5):86-90.
[23] 揣小伟,黄贤金,郑泽庆,等.江苏省土地利用变化对陆地生态系统碳储量的影响[J].资源科学,2011,33(10):1932-1939.
[24] 方精云,徐嵩龄.我国森林植被的生物量和净生产量[J].生态学报,1996,16(5):497-508.
[25] 黄玫,季劲钧,曹明奎,等.中国区域植被地上与地下生物量模拟[J].生态学报,2013,26(12):4156-4163.
[26] Tallis H, Ricketts T, Guerry A, et al. InVEST 2.0 beta User’s Guide:Integrated Valuation of Ecosystem Services and Tradeoffs[Z]. Stanford, USA:Natural Capital Project,2011.
[27] Haining R, Wise S, Ma J. Exploratory spatial data analysis[J]. Journal of the Royal Statistical Society:Series D (The Statistician),1998,47(3):457-469.
[28] 张晓祥,唐彦君,严长清,等.近30 a来江苏海岸带土地利用/覆被变化研究[J].海洋科学,2014,38(9):90-95.

Similar References:

Memo

Last Update: 1900-01-01