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

被引:13
作者
Manuri, Solichin [1 ]
Brack, Cris [1 ]
Noor'an, Fatmi [2 ]
Rusolono, Teddy [3 ]
Anggraini, Shema Mukti [3 ]
Dotzauer, Helmut [4 ,5 ]
Kumara, Indra [6 ]
机构
[1] Australian Natl Univ, Fenner Sch Environm & Soc, Linnaeus Way Bldg 141, Canberra, ACT 2601, Australia
[2] Minist Environm & Forestry, Forest Res Dev & Innovat Agcy, Dipterocarps Res Ctr, Jl AW Syahrani, Samarinda, East Kalimantan, Indonesia
[3] Bogor Agr Univ, Fac Forestry, Jl Raya Darmaga,Kampus IPB, Bogor 16680, Indonesia
[4] Deutsch Gesell Int Zusammenarbeit FORCLIME GIZ, Forests & Climate Change Program, Manggala Wanabakti Bldg,Block 7,6th Floor, Jakarta, Indonesia
[5] Deutsch Gesell Int Zusammenarbeit BIOCLIME GIZ, Biodivers & Climate Change Program, Manggala Wanabakti Bldg,Block 7,6th Floor, Jakarta, Indonesia
[6] Dist Forestry & Plantat Serv, Jl Antasari 4 Putussibau, Kapuas Hulu 78711, West Kalimantan, Indonesia
来源
FOREST ECOSYSTEMS | 2016年 / 3卷
关键词
WOOD SPECIFIC-GRAVITY; EAST KALIMANTAN; DENSITY; MODELS;
D O I
10.1186/s40663-016-0087-2
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
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.
引用
收藏
页数:10
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