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

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Forest Ecosystems 2017年第2期4卷 83-92页

作者： Solichin Manuri cris.brack Fatmi Noor'an Teddy Rusolono Shema Mukti Anggraini Helmut Dotzauer Indra Kumara Fenner School of Environment and Society The Australian NationalUniversityLinnaeus Way Building 141Canberra ACT2601Australia Dipterocarps Research Center Forest Research Development and Innovation AgencyMinistry of Environment and ForestryJl.AW SyahraniSamarindaEast KalimantanIndonesia Faculty of Forestry Bogor Agricultural UniversityJl Raya DarmagaKampus IPBBogor 16680Indonesia Forests and Climate Change Program Deutsche Gesellschafc fur Internationale Zusammenarbeit(FORCLIME-GIZ)Manggala Wanabakti BuildingBlock VII6th floorJakartaIndonesia Biodiversity and Climate Change Program Deutsche Gesellschafr fur Internationale Zusammenarbeit(BIOCLIME-GIZ)Manggala Wanabakti BuildingBlock VIL 6th floorJakartaIndonesia District Forestry and Plantation Service Jl.Antasarl No 4 Putussibaa Kapuas Hulu 78711West KalimantanIndonesia

Background： Currently, the common and feasible way to estimate the most accurate forest biomass requires ground measurements and allometric *** 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 *** 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 ***： 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 *** performed ordinary least squares linear regression to explore the relationship between the AGB and the predictor variables in the natural logarithmic ***： 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, *** developed new allometric equations for tree AGB estimation in the TDFs of *** a validation using an independent dataset,we found that our equations were reliable in estimating tree AGB in *** pantropical equation, which includes tree diameter, wood density and total height as predictor variables performed only slightly worse than our new ***： Our equations improve the precision and reduce the bias of AGB estimates of *** 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

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