文献类型：期刊文献

英文题名：Modeling Carbon Fluxes Using Multi-Temporal MODIS Imagery and CO2 Eddy Flux Tower Data in Zoige Alpine Wetland, South-West China

作者：Kang, Xiaoming[1,2] Wang, Yanfen[2] Chen, Huai[3,4] Tian, Jianqing[5] Cui, Xiaoyong[2] Rui, Yichao[6] Zhong, Lei[2] Kardol, Paul[7] Hao, Yanbin[2] Xiao, Xiangming[8]

第一作者：Kang, Xiaoming;康晓明

通信作者：Hao, YB[1]

机构：[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

年份：2014

卷号：34

期号：3

起止页码：603-618

外文期刊名：WETLANDS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000336288800019)】；

基金：This study was supported by Forestry Nonprofit Industry Scientific Research Special Project (No. 201204201), the National Science and Technology Support Program of China (2012BAC19B04), the National Youth Science Foundation of China (Grant No. 31300417), the National Natural Science Foundation of China (Grant No. 31170459), the research program 'Climate Change: Carbon Budget and Relevant Issues' of the Chinese Academy of Sciences (Grant No. XDA05050402) and the National Natural Science Foundation of China (No. 50239020). X. Xiao was supported by a research gran from the NASA Earth Observing System (EOS) Data Analysis Program (NNX09AE93G). We thank the principal investigators of the MODIS data products as well as the Oak Ridge National Laboratory's (ORNL) Distributed Active Archive Center (DAAC) and the Earth Observing System (EOS) Data Gateway for making these MODIS products available. We thank two anonymous reviewers for their valuable comments and suggestions on an earlier version of the manuscript.

语种：英文

外文关键词：Climate change; Remote sensing; Model; Eddy covariance; Qinghai-Tibetan Plateau; Wetland

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.