ALLOMETRIC EQUATIONS FOR ESTIMATING ABOVEGROUND BIOMASS IN PAPUA TROPICAL FOREST

Main Author: Maulana, Sandhi Imam
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Secretariat of Forestry Research and Development Agency , 2014
Subjects:
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fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">ALLOMETRIC EQUATIONS FOR ESTIMATING ABOVEGROUND BIOMASS IN PAPUA TROPICAL FOREST</title><creator>Maulana, Sandhi Imam</creator><subject lang="en-US">Allometric; biomass; wood density; Papua; tropical forest</subject><description lang="en-US">Allometric equations can be used to estimate biomass and carbon stock of&#xA0; the forest. However, so far the allometric equations for commercial species in Papua tropical forests have not been appropriately developed. In this research, allometric equations are presented based on the genera of&#xA0; commercial species. Few equations have been developed for the commercial species of&#xA0; Intsia, Pometia, Palaquium and Vatica genera and an equation of&#xA0; a mix of&#xA0; these genera. The number of&#xA0; trees sampled in this research was 49, with diameters (1.30 m above-ground or above buttresses) ranging from 5 to 40 cm. Destructive sampling was used to collect the samples where Diameter at Breast Height (DBH) and Wood Density (WD) were used as predictors for dry weight of&#xA0; Total Above-Ground Biomass (TAGB). Model comparison and selection were based on the values of&#xA0; F-statistics, R-sq, R-sq (adj), and average deviation. Based on these statistical indicators, the most suitable model for Intsia, Pometia, Palaquium and Vatica genera respectively are Log(TAGB) = -0.76 + 2.51Log(DBH), Log(TAGB) = -0.84 + 2.57Log(DBH), Log(TAGB) = -1.52 + 2.96Log(DBH), and Log(TAGB) = -0.09 + 2.08Log(DBH). Additional explanatory variables such as Commercial Bole Height (CBH) do not really increase the indicators&#x2019; goodness of&#xA0; fit for the equation. An alternative model to incorporate wood density should &#xA0;be considered for estimating the above-ground biomass for mixed genera. Comparing the presented mixed-genera equation; Log(TAGB) = 0.205 + 2.08Log(DBH) + 1.75Log(WD), R-sq: 97.0%, R-sq (adj): 96.9%, F statistics 750.67, average deviation: 3.5%; to previously published datashows that this local species specific equation differs substantially from previously published equations and this site-specific equation is&#xA0; considered to give a better estimation of&#xA0; biomass.</description><publisher lang="en-US">Secretariat of Forestry Research and Development Agency</publisher><contributor lang="en-US"/><date>2014-10-17</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/1510</identifier><identifier>10.20886/ijfr.2014.1.2.77-88</identifier><source lang="en-US">Indonesian Journal of Forestry Research; Vol 1, No 2 (2014): Indonesian Journal of Forestry Research; 77-88</source><source>2406-8195</source><source>2355-7079</source><language>eng</language><relation>http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/1510/1354</relation><relation>http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/downloadSuppFile/1510/67</relation><rights lang="en-US">Copyright (c) 2016 Indonesian Journal of Forestry Research</rights><rights lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</rights><recordID>--ejournal.forda-mof.org-ejournal-litbang-index.php-index-oai:article-1510</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
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File:application/pdf
File
Journal:eJournal
author Maulana, Sandhi Imam
title ALLOMETRIC EQUATIONS FOR ESTIMATING ABOVEGROUND BIOMASS IN PAPUA TROPICAL FOREST
publisher Secretariat of Forestry Research and Development Agency
publishDate 2014
topic Allometric
biomass
wood density
Papua
tropical forest
url http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/1510
http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/1510/1354
http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/downloadSuppFile/1510/67
contents Allometric equations can be used to estimate biomass and carbon stock of the forest. However, so far the allometric equations for commercial species in Papua tropical forests have not been appropriately developed. In this research, allometric equations are presented based on the genera of commercial species. Few equations have been developed for the commercial species of Intsia, Pometia, Palaquium and Vatica genera and an equation of a mix of these genera. The number of trees sampled in this research was 49, with diameters (1.30 m above-ground or above buttresses) ranging from 5 to 40 cm. Destructive sampling was used to collect the samples where Diameter at Breast Height (DBH) and Wood Density (WD) were used as predictors for dry weight of Total Above-Ground Biomass (TAGB). Model comparison and selection were based on the values of F-statistics, R-sq, R-sq (adj), and average deviation. Based on these statistical indicators, the most suitable model for Intsia, Pometia, Palaquium and Vatica genera respectively are Log(TAGB) = -0.76 + 2.51Log(DBH), Log(TAGB) = -0.84 + 2.57Log(DBH), Log(TAGB) = -1.52 + 2.96Log(DBH), and Log(TAGB) = -0.09 + 2.08Log(DBH). Additional explanatory variables such as Commercial Bole Height (CBH) do not really increase the indicators’ goodness of fit for the equation. An alternative model to incorporate wood density should be considered for estimating the above-ground biomass for mixed genera. Comparing the presented mixed-genera equation; Log(TAGB) = 0.205 + 2.08Log(DBH) + 1.75Log(WD), R-sq: 97.0%, R-sq (adj): 96.9%, F statistics 750.67, average deviation: 3.5%; to previously published datashows that this local species specific equation differs substantially from previously published equations and this site-specific equation is considered to give a better estimation of biomass.
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