Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan,Indonesia  

作　　者：Solichin Manuri Cris Brack Fatmi Noor'an Teddy Rusolono Shema Mukti Anggraini Helmut Dotzauer Indra Kumara 

机构地区：[1]Fenner School of Environment and Society,The Australian NationalUniversity,Linnaeus Way Building 141,Canberra ACT,2601,Australia [2]Dipterocarps Research Center,Forest Research Development and Innovation Agency,Ministry of Environment and Forestry,Jl.AW Syahrani,Samarinda,East Kalimantan,Indonesia [3]Faculty of Forestry,Bogor Agricultural University,Jl Raya Darmaga,Kampus IPB,Bogor 16680,Indonesia [4]Forests and Climate Change Program,Deutsche Gesellschafc fur Internationale Zusammenarbeit(FORCLIME-GIZ),Manggala Wanabakti Building,Block VII,6th floor,Jakarta,Indonesia [5]Biodiversity and Climate Change Program,Deutsche Gesellschafr fur Internationale Zusammenarbeit(BIOCLIME-GIZ),Manggala Wanabakti Building,Block VIL 6th floor,Jakarta,Indonesia [6]District Forestry and Plantation Service,Jl.Antasarl No 4 Putussibaa Kapuas Hulu 78711,West Kalimantan,Indonesia

出　　处：《Forest Ecosystems》2017年第2期83-92,共10页森林生态系统（英文版）

基　　金：the GIZ-Forclime project, a bilateral project between Indonesia and German governments, for funding the field measurements

摘　　要：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.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.

关 键 词：Allometric equation Local and pantropical models AGB Model validation Destructive sampling Tropical dipterocarp forest 

分 类 号：S718.5[农业科学—林学]