Comparing independent climate-sensitive models of aboveground biomass and diame ter grow th with their compatible simultaneous model system for three larch species in China
作者机构：College of Animal Science and Technology Inner Mongolia University for Nationalities Tongliao 028000P.R.China Research Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing 100091P.R.China Key Laboratory of Forest Management and Growth Modelling National Forestry and Grassland Administration Beijing 100091P.R.China College of ResourcesSichuan Agricultural University Chengdu 611130Sichuan provinceP.R.China Faculty of Forestry and Wood Sciences Czech University of Life Sciences PraguePrague 6-SuchdolCzech Republic College of Information Science and Technology Nanjing Forestry University NanjingJiangsu 210037P.R.China College of Computer and Information Techniques Xinyang Normal University Xinyang 464000Henan ProvinceP.R.China
出 版 物：《International Journal of Biomathematics》 (生物数学学报（英文版）)
年 卷 期：2019年第12卷第7期
页 面：1-20页
核心收录：
学科分类：0907[农学-林学] 08[工学] 0829[工学-林业工程] 09[农学]
基 金：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) 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.Z.Gao,Q.Wang and Z.Hu authors contributed equally to this work
主 题：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 *** 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 *** 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 *** potential effects of several temperature and precipitation variables on AGB and D growth were *** fitting results of climatic sensitive base models were compared against those of their compatible simultaneous model *** was found that a decreased isothermality([mean of monthly(maximum temperatureminimum 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 *** 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(p0.05).Compared to the base models,the in
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