详细信息
Additive biomass equations based on complete weighing of sample trees for open eucalypt forest species in south-eastern Australia ( SCI-EXPANDED收录 EI收录) 被引量:42
文献类型:期刊文献
英文题名:Additive biomass equations based on complete weighing of sample trees for open eucalypt forest species in south-eastern Australia
作者:Bi, Huiquan[1,2] Murphy, Simon[2] Volkova, Liubov[2] Weston, Christopher[2] Fairman, Thomas[2] Li, Yun[3] Law, Robert[2] Norris, Jaymie[4] Lei, Xiangdong[5] Caccamo, Gabriele[1]
第一作者:Bi, Huiquan
通信作者:Bi, HQ[1]
机构:[1]NSW Dept Primary Ind, Forest Sci, Parramatta, NSW 2150, Australia;[2]Univ Melbourne, Sch Forest & Ecosyst Sci, Creswick, Vic 3363, Australia;[3]Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China;[4]Dept Environm & Primary Ind, East Melbourne, Vic 3002, Australia;[5]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China
年份:2015
卷号:349
起止页码:106-121
外文期刊名:FOREST ECOLOGY AND MANAGEMENT
收录:;EI(收录号:20151700785312);Scopus(收录号:2-s2.0-84929963866);WOS:【SCI-EXPANDED(收录号:WOS:000356119000013)】;
基金:The field efforts of Geoff Portman, Paula Casey, Julia Boening, and Cian Gallagher in plot establishment, and Geoff Portman, Steve Burton, Brian Burton, Greg Smith, and Tarek Murshed in the destructive sampling were critical to the successful undertaking of this research and are much appreciated. John Houlihan, and Rod Keenan are thanked for their support in the progression of this research project through the Victorian Department of Environment and Primary Industries, and the Victorian Centre for Climate Change Adaptation Research. Funding for this research was provided by the State Governments of Victoria and New South Wales. Mr. Fabiano Ximenes provided comments on the manuscript.; Collaboration with Chinese Academy of Forestry was supported by the "Lecture and Study Program for Outstanding Scholars from Home and Abroad (CAFYBB2011007)".
语种:英文
外文关键词:Eucalyptus; Aboveground components; Dry to fresh weight ratios; Additive biomass estimation; Residual variance function
摘要:The aboveground biomass and carbon stock of less commercialized Eucalyptus open forests of south-eastern Australia are not well-known due to a lack of accurate biomass equations for even the prevalent species in these forests. To improve biomass and carbon estimates of these forests, a total of 245 trees of 11 eucalypt species with DBH (diameter overbark at the breast height of 1.3 m above ground level) up to 139 cm and height up to 39 m were destructively sampled across three broad study sites in north-central Victoria. Trees were sampled as the four aboveground components of lower stem, upper stem, crown, and dead attached stem and branch materials. All four components were weighed completely in the field. To determine the dry to fresh weight ratio for each of the four components, 90 of these trees were further subsampled for moisture content. General linear models were used to relate dry to fresh weight ratio to site, species and tree size and the parameters of the models were estimated through generalized estimating equations. The model-estimated dry to fresh weight ratios were used to convert fresh weight to dry weight for all biomass components of fresh weight sample trees. Using the derived dry weight data, two systems of nonlinear additive biomass equations for stem, crown and total tree biomass were developed for each of the 11 species, with DBH as the independent variable in one system and the combined variable of DBH and tree height in another. Residual error variances and approximate confidence bands containing about 90% of the observed data about the mean curve of predicted biomass were estimated and derived for all biomass components of each species. In addition to the species-specific equations, two sets of site-specific biomass equations were developed using pooled biomass data from each site regardless of species. These systems of additive biomass equations will improve the accuracy of biomass and carbon estimation of open eucalypt forests in south-eastern Australia. Crown Copyright (C) 2015 Published by Elsevier B.V. All rights reserved.
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