文献类型：期刊文献

英文题名：Comparing independent climate-sensitive models of aboveground biomass and diameter growth with their compatible simultaneous model system for three larch species in China

作者：Gao, Zhigang[1,2,3] Wang, Qiuyan[2,3] Hu, Zongda[4] Luo, Peng[2] Duan, Guangshuang[2] Sharma, Ram P.[5] Ye, Qiaolin[6] Gao, Wenqiang[2] Song, Xinyu[5,7] Fu, Liyong[2,3]

第一作者：Gao, Zhigang

通信作者：Fu, LY[1];Fu, LY[2]

机构：[1]Inner Mongolia Univ Nationalities, Coll Anim Sci & Technol, Tongliao 028000, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]Natl Forestry & Grassland Adm, Key Lab Forest Management & Growth Modelling, Beijing 100091, Peoples R China;[4]Sichuan Agr Univ, Coll Resources, Chengdu 611130, Sichuan, Peoples R China;[5]Czech Univ Life Sci, Fac Forestry & Wood Sci, Prague 6, Czech Republic;[6]Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Jiangsu, Peoples R China;[7]Xinyang Normal Univ, Coll Comp & Informat Tech, Xinyang 464000, Henan, Peoples R China

年份：2019

卷号：12

期号：7

外文期刊名：INTERNATIONAL JOURNAL OF BIOMATHEMATICS

收录：;Scopus(收录号：2-s2.0-85072998313);WOS:【SCI-EXPANDED(收录号:WOS:000496719500001)】；

基金：This work was supported by the Thirteenth Five-year Plan Pioneering project of High Technology Plan of the National Department of Technology (No. 2017YFC0503906), the Natural Science Foundation of Beijing (No. 5184036) the Project for Science and Technology Open Cooperation of Henan Province (172106000071) and the Chinese National Natural Science Foundations (Grant Nos. 31470641, 31300534 and 31570628). We also appreciate the valuable comments and constructive suggestions from two anonymous referees and the Associate Editor who helped improve the manuscript.

语种：英文

外文关键词：Larch; aboveground biomass; diameter at breast height; climate change; seemingly unrelated regression; leave-one-out cross-validation

摘要：Accurate estimate of tree biomass is essential for forest management. In recent years, several climate-sensitive allometric biomass models with diameter at breast height (D) as a predictor have been proposed for various tree species and climate zones to estimate tree aboveground biomass (AGB). But the allometric models only account for the potential effects of climate on tree biomass and do not simultaneously explain the influence of climate on D growth. In this study, based on the AGB data from 256 destructively sampled trees of three, larch species randomly distributed across the five secondary climate zones in northeastern and northern China, we first developed a climate-sensitive AGB base model and a climate-sensitive D growth base model using a nonlinear least square regression separately. A compatible simultaneous model system was then developed with the climate-sensitive AGB and D growth models using a nonlinear seemingly unrelated regression. The potential effects of several temperature and precipitation variables on AGB and D growth were evaluated. The fitting results of climatic sensitive base models were compared against those of their compatible simultaneous model system. It was found that a decreased isothermality ([mean of monthly (maximum temperature-minimum temperature)]/(Maximum temperature of the warmest month-Minimum temperature of the coldest month)) and total growing season precipitation, and increased annual precipitation significantly increased the values of AGB; an increase of temperature seasonality (a standard deviation of the mean monthly temperature) and precipitation seasonality (a standard deviation of the mean monthly precipitation) could lead to the increase of D. The differences of the model fitting results between the compatible simultaneous system with the consideration of climate effects on both AGB and D growth and its corresponding climate-sensitive AGB and D growth base models were very small and insignificant (p > 0.05). Compared to the base models, the inherent correlation of AGB with D was taken into account effectively by the proposed compatible model system developed with the climate-sensitive AGB and D growth models. In addition, the compatible properties of the estimated AGB and D were also addressed substantially in the proposed model system.