中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling Carbon Fluxes Using Multi-Temporal MODIS Imagery and CO2 Eddy Flux Tower Data in Zoige Alpine Wetland, South-West China

文献类型:期刊论文

作者Kang, Xiaoming1,2; Wang, Yanfen2; Chen, Huai3,4; Tian, Jianqing5; Cui, Xiaoyong2; Rui, Yichao6; Zhong, Lei2; Kardol, Paul7; Hao, Yanbin2; Xiao, Xiangming8
刊名WETLANDS
出版日期2014-06
卷号34期号:3页码:603-618
ISSN号0277-5212
关键词Climate change Remote sensing Model Eddy covariance Qinghai-Tibetan Plateau Wetland
DOI10.1007/s13157-014-0529-y
产权排序3
文献子类Article
英文摘要An accurate and synoptic quantification of gross primary production (GPP) in wetland ecosystems is essential for assessing carbon budgets at regional or global scales. In this study, a satellite-based Vegetation Photosynthesis Model (VPM) integrated with observed eddy tower and remote sensing data was employed and adapted to evaluate the feasibility and dependability of the model for estimating GPP in an alpine wetland, located in Zoige, Southwestern China. Eddy flux data from 2-year observations showed that temperature explained most of the seasonal variability in carbon fluxes and that warming increased GPP and ecosystem respiration, and hence affected the carbon balance of alpine wetlands. The comparison between modeled and observed GPP fluxes indicated that simulated values were largely in agreement with tower-based values (P < 0.0001). 12-year long-term simulations (2000-2011) found that (1) there was significantly increasing trends at rate of 17.01 gCm(-2) year(-1) for annual GPP (R (2) = 0.62, P = 0.002); (2) the inter-annual variation in GPP was highly sensitive to climate warming; and (3) a warmer climate can prolong the plant growing season and, by that, increase wetland productivity. Our results demonstrated that the satellite-driven VPM model has the potential to be applied at large spatial and temporal scales for scaling-up carbon fluxes of alpine wetlands.
学科主题Environment ; Ecology
URL标识查看原文
WOS关键词GROSS PRIMARY PRODUCTION ; PLANT COMMUNITY RESPONSES ; WATER-VAPOR EXCHANGE ; ECOSYSTEM CO2 ; SOIL RESPIRATION ; DIOXIDE EXCHANGE ; INNER-MONGOLIA ; SATELLITE DATA ; CLIMATE-CHANGE ; TIME-SERIES
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者SPRINGER
WOS记录号WOS:000336288800019
源URL[http://210.75.237.14/handle/351003/29825]  
专题生物多样性与生态系统服务领域_生态研究
通讯作者Hao, Yanbin
作者单位1.Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China;
2.Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China;
3.Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China;
4.Northwest Agr & Forest Univ, Coll Forestry, Yanglin 712100, Peoples R China;
5.Chinese Acad Sci, Inst Microbiol, State Key Lab Mycol, Beijing 100101, Peoples R China;
6.Univ Western Australia, Sch Earth & Environm, Crawley, WA 6009, Australia;
7.Swedish Univ Agr Sci, Dept Forest Ecol & Management, S-90183 Umea, Sweden;
8.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA
推荐引用方式
GB/T 7714
Kang, Xiaoming,Wang, Yanfen,Chen, Huai,et al. Modeling Carbon Fluxes Using Multi-Temporal MODIS Imagery and CO2 Eddy Flux Tower Data in Zoige Alpine Wetland, South-West China[J]. WETLANDS,2014,34(3):603-618.
APA Kang, Xiaoming.,Wang, Yanfen.,Chen, Huai.,Tian, Jianqing.,Cui, Xiaoyong.,...&Xiao, Xiangming.(2014).Modeling Carbon Fluxes Using Multi-Temporal MODIS Imagery and CO2 Eddy Flux Tower Data in Zoige Alpine Wetland, South-West China.WETLANDS,34(3),603-618.
MLA Kang, Xiaoming,et al."Modeling Carbon Fluxes Using Multi-Temporal MODIS Imagery and CO2 Eddy Flux Tower Data in Zoige Alpine Wetland, South-West China".WETLANDS 34.3(2014):603-618.

入库方式: OAI收割

来源:成都生物研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。