文献类型：期刊文献

英文题名：A long-term simulation of forest carbon fluxes over the Qilian Mountains

作者：Yan, Min[1] Tian, Xin[1] Li, Zengyuan[1] Chen, Erxue[1] Li, Chunmei[1,2] Fan, Wenwu[1,3]

第一作者：Yan, Min

通信作者：Tian, X[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Southwest Forestry Univ, Coll Forestry, Baiyunsi St 300, Kunming 650224, Peoples R China;[3]Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Gongye Rd 523, Fuzhou 350002, Peoples R China

年份：2016

卷号：52

起止页码：515-526

外文期刊名：INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

收录：;Scopus(收录号：2-s2.0-84997796791);WOS:【SCI-EXPANDED(收录号:WOS:000383003500047)】；

基金：This study was financially supported by the National 973 Program (2013CB733404), Estimations of the key forest eco-hydrological parameters by multi-scale remote sensing data (IFRIT201302), and the National Natural Science Foundation of China (41101379). We thank those who helped with meteorological data, flux data, GLASS products, and the joint forest inventory team for providing dendrochronological measurements.

语种：英文

外文关键词：MODIS GPP model; Biome-BGC model; Eddy covariance; Dendrochronological data

摘要：In this work, we integrated a remote-sensing-based (the MODIS MOD_17 Gross Primary Productivity (GPP) model (MOD_17)) and a process-based (the Biome-BioGeochemical Cycles (Biome-BGC) model) ecological model in order to estimate long-term (from 2000 to 2012) forest carbon fluxes over the Qilian Mountains, in northwest China, a cold and arid forest ecosystem. Our goal was to obtain an accurate and quantitative simulation of spatial GPP patterns using the MOD_17 model and a temporal description of forest processes using the Biome-BGC model. The original MOD_17 model was first optimized using a biome-specific parameter, observed meteorological data, and reproduced JPAR at the eddy covariance site. The optimized MOD_17 model performed much better (R-2 = 0.91, RMSE= 5.19 gC/m(2)/8d) than the original model ((R)2 = 0.47, RMSE = 20.27 gC/m(2)/8d). The Biome-BGC model was then calibrated using GPP for 30 representative forest plots selected from the optimized MOD_17 model. The calibrated Biome-BGC model was then driven in order to estimate forest GPP, net primary productivity (NPP), and net ecosystem exchange (NEE). GPP and NEE were validated against two-year (2010 and 2011) EC measurements (R-2 = 0.79, RMSE= 1.15 gC/m(2)/d for GPP; and R-2 =0.69, RMSE= 1.087 gC/m(2)/d for NEE). NPP estimates from 2000 to 2012 were then compared to dendrochronological measurements (R-2 = 0.73, RMSE= 24.46 gC/m(2)/yr). Our results indicated that integration of the two models can be used for estimating carbon fluxes with good accuracy and a high temporal and spatial resolution. Overall, NPP displayed a downward trend, with an average rate of 0.39 gC/m(2)/yr, from 2000 and 2012 over the Qilian Mountains. Simulated average annual NPP yielded higher values for the southeast as compared to the northwest. The most positive correlative climatic factor to average annual NPP was downward shortwave radiation. The vapor pressure deficit, and mean temperature and precipitation yielded negative correlations to average annual NPP. (C) 2016 The Author(s). Published by Elsevier B.V.