文献类型：期刊文献

英文题名：Separating Regressions for Model Fitting to Reduce the Uncertainty in Forest Volume-Biomass Relationship

作者：Liu, Caixia[1,2] Zhou, Xiaolu[1,2,3] Lei, Xiangdong[4] Huang, Huabing[1,2] Zhou, Carl[5] Peng, Changhui[3,6] Wang, Xiaoyi[1,2]

第一作者：Liu, Caixia

通信作者：Zhou, XL[1];Huang, HB[1];Zhou, XL[2];Huang, HB[2];Zhou, XL[3]

机构：[1]Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China;[2]Beijing Normal Univ, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China;[3]Northwest Agr & Forestry Univ, Res Ctr Ecol Forecasting & Global Change, Yangling 712100, Shaanxi, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[5]Univ Ottawa, Fac Hlth Sci, Ottawa, ON K1N 6N5, Canada;[6]Univ Quebec Montreal, Dept Biol Sci, Ecol Modeling & Carbon Sci, Montreal, PQ H3C 3P8, Canada

年份：2019

卷号：10

期号：8

外文期刊名：FORESTS

收录：;EI(收录号：20193307317763);Scopus(收录号：2-s2.0-85070559728);WOS:【SCI-EXPANDED(收录号:WOS:000482949200045)】；

基金：This work was supported by The National Key Research and Development Program of China (2017YFA0604401, 2016YFC0501101), Open Fund of State Key Laboratory of Remote Sensing Science (OFSLRSS201704) and Meteorology Scientific Research Fund in the Public Welfare of China (GYHY201506010).

语种：英文

外文关键词：allometric equation; biomass estimation; forest biomass dataset; observational error; parametric equation; parameter diagnosis; restricted zone; wood density

摘要：The method of forest biomass estimation based on a relationship between the volume and biomass has been applied conventionally for estimating stand above- and below-ground biomass (SABB, t ha(-1)) from mean growing stock volume (m(3) ha(-1)). However, few studies have reported on the diagnosis of the volume-SABB equations fitted using field data. This paper addresses how to (i) check parameters of the volume-SABB equations, and (ii) reduce the bias while building these equations. In our analysis, all equations were applied based on the measurements of plots (biomass or volume per hectare) rather than individual trees. The volume-SABB equation is re-expressed by two Parametric Equations (PEs) for separating regressions. Stem biomass is an intermediate variable (parametric variable) in the PEs, of which one is established by regressing the relationship between stem biomass and volume, and the other is created by regressing the allometric relationship of stem biomass and SABB. A graphical analysis of the PEs proposes a concept of "restricted zone," which helps to diagnose parameters of the volume-SABB equations in regression analyses of field data. The sampling simulations were performed using pseudo data (artificially generated in order to test a model) for the model test. Both analyses of the regression and simulation demonstrate that the wood density impacts the parameters more than the allometric relationship does. This paper presents an applicable method for testing the field data using reasonable wood densities, restricting the error in field data processing based on limited field plots, and achieving a better understanding of the uncertainty in building those equations.