Allometric models for estimating aboveground biomass in the tropical woodlands of Ghana, West Africa  

作　　者：Raymond Aabeyir Stephen Adu-Bredu Wilson Agyei Agyare Michael J.C.Weir 

机构地区：[1]Department of Environment and Resource Studies,UDS-Wa Campus,Wa,Ghana [2]WASCAL Graduate Research Programme on Climate Change and Land Use,KNUST,Kumasi,Ghana [3]Biodiversity Conservation and Ecosystem Division,CSIR-Forestry Research Institute of Ghana,Kumasi,Ghana [4]Department of Agricultural and Biosystems Engineering,KNUST,Kumasi,Ghana [5]Department of Natural Resources,Faculty of Geoinformation Science and Earth Observation(ITC),University of Twente,Enschede,the Netherlands

出　　处：《Forest Ecosystems》2020年第3期539-561,共23页森林生态系统（英文版）

基　　金：Federal Ministry of Education and Research (BMBF) of Germany,funded the PhD programme of the lead author through the West African Science Service Centre for Climate Change and Adapted Land use (WASCAL)。

摘　　要：Background: Modelling aboveground biomass(AGB) in forest and woodland ecosystems is critical for accurate estimation of carbon stocks. However, scarcity of allometric models for predicting AGB remains an issue that has not been adequately addressed in Africa. In particular, locally developed models for estimating AGB in the tropical woodlands of Ghana have received little attention. In the absence of locally developed allometric models, Ghana will continue to use Tier 1 biomass data through the application of pantropic models. Without local allometric models it is not certain how Ghana would achieve Tier 2 and 3 levels under the United Nations programme for reducing emissions from deforestation and forest degradation. The objective of this study is to develop a mixedspecies allometric model for use in estimating AGB for the tropical woodlands in Ghana. Destructive sampling was carried out on 745 trees(as part of charcoal production) for the development of allometric equations. Diameter at breast height(dbh, i.e. 1.3 m above ground level), total tree height(H) and wood density(ρ) were used as predictors for the models. Seven models were compared and the best model selected based on model efficiency,bias(%) and corrected Akaike Information Criterion. The best model was validated by comparing its results with those of the pantropic model developed by Chave et al.(Glob Chang Biol 20:3177–3190, 2014) using equivalence test and conventional paired t-test.Results: The results revealed that the best model for estimating AGB in the tropical woodlands is AGB =0.0580ρ((dbh)2 H)0.999. The equivalence test showed that this model and the pantropic model developed by Chave et al.(Glob Chang Biol 20:3177–3190, 2014) were equivalent within ±10% of their mean predictions(p-values <0.0001 for one-tailed t-tests for both lower and upper bounds at 5% significant level), while the paired t-test revealed that the mean(181.44 ± 18.25 kg) of the model predictions of the best model of this study was significantly(n = 745, mean dif

关 键 词：Charcoal Diameter at breast height Tree height Wood density Savannah woodland 

分 类 号：S718.5[农业科学—林学]