文献类型：期刊文献

英文题名：A climate-sensitive aboveground biomass model for three larch species in northeastern and northern China

作者：Fu, Liyong[1,2] Sun, Wei[3] Wang, Guangxing[4]

第一作者：符利勇;Fu, Liyong

通信作者：Wang, GX[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Penn State Univ, Ctr Stat Genet, Loc T3436,Mailcode CH69,500 Univ Dr, Hershey, PA 17033 USA;[3]Xinjiang Agr Univ, Coll Comp & Informat Engn, Xinjiang 830052, Peoples R China;[4]Southern Illinois Univ Carbondale, Dept Geog & Environm Resources, Carbondale, IL 62901 USA

年份：2017

卷号：31

期号：2

起止页码：557-573

外文期刊名：TREES-STRUCTURE AND FUNCTION

收录：;EI(收录号：20164703049070);Scopus(收录号：2-s2.0-84995753018);WOS:【SCI-EXPANDED(收录号:WOS:000398106900016)】；

基金：We thank the Forestry Public Welfare Scientific Research Project of China (no. 201404417), the Central Public-interest Scientific Institution Basal Research Fund (grant no. 2014QB017) and the Chinese National Natural Science Foundations (nos. 31270679, 31470641, 31300534, 31570628) for the financial support of this study. We also appreciate the valuable comments and constructive suggestions from two anonymous referees and the associate editor.

语种：英文

外文关键词：Larch species; Climate-sensitive aboveground biomass model; Nonlinear mixed-effects model; Dummy variable approach; Climate change

摘要：As native species and being widely distributed in northeastern and northern China, larch forests play a pivotal role in maintaining forest ecosystem functions and mitigation of carbon concentration at the atmosphere. However, the spatial sensitivity of growing and aboveground biomass (AGB) of larch species to climate change is not known. In this study, a climate-sensitive AGB model was developed by combining nonlinear mixed-effects modeling and a dummy variable approach to account for the spatial sensitivity of AGB of three larch species including Dahurian larch (Larix gmelinii (Rupr.) Kuzen.), Korean larch (Larix olgensis Henry.) and Prince Rupprecht larch (Larix principis rupprechtii Mayr.) to climate change in northeastern and northern China. We examined the AGB values of 256 larch trees growing in five secondary climate zones: mid-temperature humid climatic zone, mid-temperature sub-humid climatic zone, mid-temperature semi-arid climatic zone, cool temperature humid climatic zone and warm temperature sub-humid climatic zone in northeastern and northern China. The results showed that the long-term averages of growing season temperature and total growing season precipitation, and the mean temperature and precipitation of wettest quarter, had significant (alpha = 0.05) effects on AGB. The prediction accuracy of the developed model was much higher than that of themodel at the population average level and its base model. Excessive rain and high mean temperature during the growing season increased the AGB values of larch trees, while abundant precipitation and high mean temperature in the wettest quarter led to the decrease of AGB. The AGB of the larch species from the mid-temperature semi-arid climatic zone had the greatest values, which indicated that climate conditions were more favorable in this zone than in the other four secondary climate zones. It is expected that the findings from this study can be combined with the knowledge of adaptive management to reduce the risks and uncertainties associated with forest management decisions.