Improving the knowledge base for tropical dry forest management in southern Africa: Regional volume models for Pterocarpus angolensis

FOREST ECOLOGY AND MANAGEMENT

卷:477

Article

De Cauwer, Vera^1,2  Beeckman, Hans³  Kleinn, Christoph^4,6  Moses, Moses^5,6  Nott, Amber¹  Seifert, Thomas^6,7  Muys, Bart² 

[1] Namibia Univ Sci & Technol, Fac Nat Resources & Spatial Sci, Private Bag 13388, Windhoek, Namibia

[2] Katholieke Univ Leuven, Div Forest Nat & Landscape, Celestijnenlaan 200E-2411, B-3001 Leuven, Belgium

[3] Royal Museum Cent Africa, Serv Wood Biol, Leuvensesteenweg 13, B-3080 Tervuren, Belgium

[4] Univ Gottingen, Fac Forest Sci & Forest Ecol, Forest Inventory & Remote Sensing, Busgenweg 5, D-37077 Gottingen, Germany

[5] Directorate Forestry, POB 13088, Eenhana, Namibia

[6] Stellenbosch Univ, Dept Forest & Wood Sci, Private Bag X1, ZA-7602 Matieland, South Africa

[7] Albert Ludwigs Univ Freiburg, Chair Forest Growth & Dendroecol, Tennenbacher Str 4, D-89106 Freiburg, Germany

关键词: Tree volume model;    Generic model;    Specific model;    Allometric relationship;    Baikiaea - Pterocarpus woodlands;    Kiaat;    Umbila;    Muninga;   

DOI  :  10.1016/j.foreco.2020.118485

来源: Elsevier

【 摘 要 】

The development of site-specific allometric models for tree species of natural tropical forests is hampered by limited resources while there is little quality control of the models developed. This study compares site- and species-specific models with generic and regional or pantropical models for Pterocarpus angolensis, the most widely exploited timber tree of southern Africa. We developed regional models with diameter at breast height (DBH) and tree height for the total and merchantable wood volume of P. angolensis with a dataset of 415 trees collected by destructive and non-destructive methods at 14 different sites in the Baikiaea - Pterocarpus woodlands of Namibia and southern Angola. Sources of data heterogeneity, such as site, collector and method, were investigated using mixed models and climate variables as model predictors. The study compared the ability of the new models with ten other site and species-specific volume models and nine generic volume and biomass models to estimate wood volume at tree and stand level. Stand data of 129 sample plots, representing a rainfall gradient from 480 mm to 750 mm, were used. Results showed that the three best performing models with DBH as single predictor (error 28% - 30%), including our new model, were developed for Namibia and Zambia. Adding tree height as predictor to our model removed the heterogeneity caused by site and reduced the error to 22%. One regional generic and one pantropical generic model, both with tree height, performed as well and outperformed other Pterocarpus specific models. Our models showed that the mean portion of merchantable wood was 35% of the total wood volume, of which 58% was heartwood. Although addition of climate variables improved our models, they did not perform well at stand level. Estimated merchantable volume of P. angolensis at stand level varied from 1.9 to 2.7 m(3) ha(-1) , depending on the models employed. Total growing stock is estimated between 36 and 52 m(3) ha(-1) in our study area, depending on the model, with the contribution of P. angolensis approximately 13%. Our results suggest that site-specificity of models is needed when they only include DBH. The use of pantropical and regional DBH-height based models that are adapted to site conditions through the collection of accurate height and wood density data for biomass conversion factors, is advised rather than developing site-specific DBH based allometric models.

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