文献类型：期刊文献

英文题名：Applicability of Fitted and Published Biomass Equations for Larix Species in Northeastern China

作者：Cao, Lei[1] Li, Haikui[1] Liu, Xiaotong[1]

第一作者：Cao, Lei

通信作者：Li, HK[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing, Peoples R China

年份：2020

卷号：39

期号：6

起止页码：574-594

外文期刊名：JOURNAL OF SUSTAINABLE FORESTRY

收录：;EI(收录号：20194807742321);Scopus(收录号：2-s2.0-85075486524);WOS:【SCI-EXPANDED(收录号:WOS:000551926100003)】；

基金：This research was supported by National Key R&D Program of China under Grant 2017YFC0504004-3 and National Natural Science Foundation of China under Grant 31770676.

语种：英文

外文关键词：Applicability; fitted; published; biomass equations; Larix

摘要：This study reviewed published biomass equations for Larix species in the literature and developed additive biomass equations (by nonlinear seemingly unrelated regression known as NSUR) and independent equations, respectively, based on DBH-only and DBH-H variables with the biomass data of 150 trees sampled in northeastern China. The applicability of fitted and published equations was comprehensively assessed with respect to Larix species, their provinces and origins when applied in northeastern China. The results showed that equations derived from the local study area did not always perform better than the published biomass equations in the literature. Tree-level equations performed slightly broader than stand-level equations. Nonlinear regression could provide higher applicability due to correction factors in the linear regression. Adding tree height as the second variable improved the applicability of stem and above-ground published equations. The applicability of original published equations was better for northeastern China for sites of similar latitude. When using published biomass equations, care should be taken to assess the uncertainty and applicability of biomass equations, which is important for the sustainable management of forested resources. Published information on biomass equations is especially necessary for forestry organizations that do not have the opportunity to develop their own equations.