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Patterns of above-ground biomass and its environmental drivers: an analysis based on plot-based surveys in the dry tropical forests and woodlands of southern Africa (SASSCAL Book, Biodiversity & Ecology 6)

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Title Patterns of above-ground biomass and its environmental drivers: an analysis based on plot-based surveys in the dry tropical forests and woodlands of southern Africa (SASSCAL Book, Biodiversity & Ecology 6) ?
Author Priscilla Sichone, Vera De Cauwer, António Valter Chisingui, Francisco Maiato P. Gonçalves, Manfred Finckh, Rasmus Revermann ?
Abstract In this paper we present an estimate of above-ground biomass (AGB) in the dry tropical forests and woodlands of southern Angola, western Zambia, northern Namibia and northern Botswana. Furthermore, we investigated the environmental variables infl uencing the spatial distribution of AGB. We compiled data from 498 vegetation plots and forest inventories covering seven vegetation types. The dataset contained measurements of 8803 individual trees belonging to 167 different species. The frequency of the trees per diameter at breast height (DBH) classes indicated healthy community structures with all vegetation types of miombo (Zambia and Angola), Baikiaea (Angola and Namibia), Baikiaea- Combretum, mopane, and Terminalia showing high number of trees in the smaller classes. We used two regional allometric equations developed for the miombo woodlands by Ryan (2011) and Chidumayo (2013) to calculate AGB. The highest AGB was recorded in the miombo woodlands of Zambia (median = 82.2 t/ha), followed by the dense Baikiaea- Combretum woodlands in Angola (median = 61 t/ha) and the Angolan miombo woodlands (median = 60.4 t/ha). Using generalized linear models, we analysed the relationship of AGB and environmental variables. Mean annual precipitation had the highest predictive power, explaining almost two thirds of the variance. Our conclusion was that, at regional scale, climate is a key driver of vegetation patterns, and biomass is no exception. There is a high local variability, however, that cannot completely be explained by gridded environmental datasets. ?
Citation Sichone, P., De Cauwer, V., Chissungui, A.V., Goncalves, F.M.P., Finckh, M. & Revermann, R. (2018) Patterns of above-ground biomass and its environmental drivers: an analysis based on plot-based surveys in the dry tropical forests and woodlands of southern Africa In: Climate change and adaptive land management in southern Africa – assessments, changes, challenges, and solutions (ed. by Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N.), pp. 309-316, Biodiversity & Ecology, 6, Klaus Hess Publishers, Göttingen & Windhoek. doi:10.7809/b-e.00338 ?
DOI 10.7809/b-e.00338 ?
Dataset
Document Reference Date Type publication ?
Date 2018-04-24 ?
Language English ?
Online Linkage http://www.biodiversity-plants.de/biodivers_ecol/article_meta.php?DOI=10.7809/b-e.00338&art_volume=6&lang=en ?
Associated project SASSCAL (Phase 1) ?
Subproject 159 Strengthening a regional Biodiversity Observation Network in the region ?
Dataset Classification
Type PDF ?
Category publication ?
Metadata
Metadata Contact Person Sichone, Priscilla ?
Metadata Date Stamp 2019-06-05 ?
Identifier
Internal identifier sdp_doc_documents_6553 (Link)