Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia
Background Currently, the common and feasible way to estimate the most accurate forest biomass requires ground measurements and allometric models. Previous studies have been conducted on allometric equations development for estimating tree aboveground biomass (AGB) of tropical dipterocarp forests (...
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doaj-72592f3c52fa4f1bbcb5762e4bd3bcd32020-11-24T21:19:51ZengSpringerOpenForest Ecosystems2095-63552197-56202016-12-01310.1186/s40663-016-0087-2Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, IndonesiaSolichin Manuri0Cris Brack1Fatmi Noor’an2Teddy Rusolono3Shema Mukti Anggraini4Helmut Dotzauer5Indra Kumara6Fenner School of Environment and Society, The Australian National UniversityFenner School of Environment and Society, The Australian National UniversityDipterocarps Research Center, Forest Research Development and Innovation Agency, Ministry of Environment and ForestryFaculty of Forestry, Bogor Agricultural UniversityFaculty of Forestry, Bogor Agricultural UniversityForests and Climate Change Program, Deutsche Gesellschaft für Internationale Zusammenarbeit (FORCLIME-GIZ) Biodiversity and Climate Change Program, Deutsche Gesellschaft für Internationale Zusammenarbeit (BIOCLIME-GIZ)District Forestry and Plantation ServiceBackground Currently, the common and feasible way to estimate the most accurate forest biomass requires ground measurements and allometric models. Previous studies have been conducted on allometric equations development for estimating tree aboveground biomass (AGB) of tropical dipterocarp forests (TDFs) in Kalimantan (Indonesian Borneo). However, before the use of existing equations, a validation for the selection of the best allometric equation is required to assess the model bias and precision. This study aims at evaluating the validity of local and pantropical equations; developing new allometric equations for estimating tree AGB in TDFs of Kalimantan; and validating the new equations using independent datasets. Methods We used 108 tree samples from destructive sampling to develop the allometric equations, with maximum tree diameter of 175 cm and another 109 samples from previous studies for validating our equations. We performed ordinary least squares linear regression to explore the relationship between the AGB and the predictor variables in the natural logarithmic form. Results This study found that most of the existing local equations tended to be biased and imprecise, with mean relative error and mean absolute relative error more than 0.1 and 0.3, respectively. We developed new allometric equations for tree AGB estimation in the TDFs of Kalimantan. Through a validation using an independent dataset, we found that our equations were reliable in estimating tree AGB in TDF. The pantropical equation, which includes tree diameter, wood density and total height as predictor variables performed only slightly worse than our new models. Conclusions Our equations improve the precision and reduce the bias of AGB estimates of TDFs. Local models developed from small samples tend to systematically bias. A validation of existing AGB models is essential before the use of the models.https://forestecosyst.springeropen.com/articles/10.1186/s40663-016-0087-2Allometric equationLocal and pantropical modelsAGBModel validationDestructive samplingTropical dipterocarp forest |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Solichin Manuri Cris Brack Fatmi Noor’an Teddy Rusolono Shema Mukti Anggraini Helmut Dotzauer Indra Kumara |
spellingShingle |
Solichin Manuri Cris Brack Fatmi Noor’an Teddy Rusolono Shema Mukti Anggraini Helmut Dotzauer Indra Kumara Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia Forest Ecosystems Allometric equation Local and pantropical models AGB Model validation Destructive sampling Tropical dipterocarp forest |
author_facet |
Solichin Manuri Cris Brack Fatmi Noor’an Teddy Rusolono Shema Mukti Anggraini Helmut Dotzauer Indra Kumara |
author_sort |
Solichin Manuri |
title |
Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia |
title_short |
Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia |
title_full |
Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia |
title_fullStr |
Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia |
title_full_unstemmed |
Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia |
title_sort |
improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of kalimantan, indonesia |
publisher |
SpringerOpen |
series |
Forest Ecosystems |
issn |
2095-6355 2197-5620 |
publishDate |
2016-12-01 |
description |
Background
Currently, the common and feasible way to estimate the most accurate forest biomass requires ground measurements and allometric models. Previous studies have been conducted on allometric equations development for estimating tree aboveground biomass (AGB) of tropical dipterocarp forests (TDFs) in Kalimantan (Indonesian Borneo). However, before the use of existing equations, a validation for the selection of the best allometric equation is required to assess the model bias and precision. This study aims at evaluating the validity of local and pantropical equations; developing new allometric equations for estimating tree AGB in TDFs of Kalimantan; and validating the new equations using independent datasets.
Methods
We used 108 tree samples from destructive sampling to develop the allometric equations, with maximum tree diameter of 175 cm and another 109 samples from previous studies for validating our equations. We performed ordinary least squares linear regression to explore the relationship between the AGB and the predictor variables in the natural logarithmic form.
Results
This study found that most of the existing local equations tended to be biased and imprecise, with mean relative error and mean absolute relative error more than 0.1 and 0.3, respectively. We developed new allometric equations for tree AGB estimation in the TDFs of Kalimantan. Through a validation using an independent dataset, we found that our equations were reliable in estimating tree AGB in TDF. The pantropical equation, which includes tree diameter, wood density and total height as predictor variables performed only slightly worse than our new models.
Conclusions
Our equations improve the precision and reduce the bias of AGB estimates of TDFs. Local models developed from small samples tend to systematically bias. A validation of existing AGB models is essential before the use of the models. |
topic |
Allometric equation Local and pantropical models AGB Model validation Destructive sampling Tropical dipterocarp forest |
url |
https://forestecosyst.springeropen.com/articles/10.1186/s40663-016-0087-2 |
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