title: [Vegetation net primary productivity in Northeast China in 2000-2008: simulation and seasonal change].
abstract: By using GLOPEM-CEVSA model, the spatiotemporal pattern and its affecting factors of the vegetation net primary productivity (NPP) in Northeast China in 2000-2008 were simulated, and, taking four forest ecosystem stations (Daxing' anling, Laoyeling, Liangshui and Changbai Mountains) as the cases, the seasonal changes and their main driving force of forest NPP in Northeast China were studied. In 2000-2008, the annual averaged vegetation NPP in the region was 445 g C x m(-2) x a(-1), being the highest in the areas from Changbai Mountains to Xiaoxing' anling Mountains and parts of Sanjiang Plain, followed by in the areas from Changbai Mountains to Liaohe River Plain, eastern Songnen Plain, Sanjiang Plain, and Daxing' anling Mountain, and the lowest in the sparse grass and desert areas in the west. Forest ecosystem had the highest annual averaged NPP, followed by shrub, cropland and grassland, and desert. In forest ecosystem, coniferous and broad-leaf mixed forests had the highest annual averaged NPP (722 g C x m(-2) x a(-1)), while deciduous needle-leaf forest had the lowest one (451 g C x m(-2) x a(-1)). During the study period, no significant inter-annual changes were observed in the forest NPP though it was higher in 2007 and 2008 probably due to the increased air temperature (1 degrees C-2 degrees C higher than that in other years). The beginning time of forest growth season in Northeast China advanced gradually from north to south, and the growth season became longer.
authors.affiliation: School of Forestry, Northeast Forestry University, Harbin 150040, China. zhgshuai@163.com
authors.forename: Guo-shuai
authors.initials: GS
authors.lastname: Zhao
authors.forename: Jun-bang
authors.initials: JB
authors.lastname: Wang
authors.forename: Wen-yi
authors.initials: WY
authors.lastname: Fan
authors.forename: Tian-yu
authors.initials: TY
authors.lastname: Ying
mesh_terms: D018533:Biomass; D002681:China; D003198:Computer Simulation; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005844:Geology; D012621:Seasons; D014197:Trees / Q000254:growth & development*