Arid
Estimation of Above-ground Biomass Carbon Storage in Hulunbeier Grassland based on Remotely Sensed Data
Hasituya1,2; Chen Zhong-xin1,2; Wu Wen-bin1,2; Huang, Qing1,2
通讯作者Chen Zhong-xin
会议名称Fourth International Conference on Agro Geoinformatics
会议日期JUL 20-24, 2015
会议地点Istanbul, TURKEY
英文摘要

Grassland biomass carbon storage is one of the most important parts in regulating the carbon cycle and mitigating the global climate change. However, due to the vulnerability and sensibility of grassland in arid and semi-arid regions, grassland degradation and desertification are becoming increasingly serious, and there exist doubt for the carbon source/ sink relationship in grassland ecosystem. To estimate the grassland biomass carbon storage is an important task for the research of carbon cycling and rational utilization of grassland resources. In this paper, based on the purpose of providing local scale information for related study and decision making, MODIS-NDVI and meteorological data in plant growing season (April to September) were used for CASA (Carnegie-Ames-Stanford Approach) Model and Plant Mortality Model to estimate the above-ground biomass carbon storage in Hulunbeier grassland, Inner Mongolia Autonomous Region, China in 2002, 2005, and 2009 respectively. And analyze its spatial and temporal patterns. The results show that the total above-ground biomass carbon storage derived from the above two model were 4.95Tg, 4.53Tg, 4.80Tg (1Tg = 1x10(12)g) and the average carbon density were 43.41, 39.69, 41.36g/m(2) respectively in 2002, 2005 and 2009. The results imply that these two models can provide effective information for the carbon storage estimation and grassland resources management in this research area.


英文关键词Above-ground Biomass Carbon Storage Remote Sensing CASA Model Plant Mortality Model Hulunbeier Grassland
来源出版物2015 FOURTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS
ISSN2334-3168
出版年2015
EISBN978-1-4673-8088-1
出版者IEEE
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000380400300035
WOS关键词CHINA ; VEGETATION
WOS类目Agriculture, Multidisciplinary ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications
WOS研究方向Agriculture ; Computer Science
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/304186
作者单位1.CAAS, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China;
2.Minist Agr, Key Lab Agroinformat, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714
Hasituya,Chen Zhong-xin,Wu Wen-bin,et al. Estimation of Above-ground Biomass Carbon Storage in Hulunbeier Grassland based on Remotely Sensed Data[C]:IEEE,2015.
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