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 |
DOI | 10.1007/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
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