| Literature DB >> 32021892 |
Tarquinio Mateus Magalhães1, Victoria Norberto Cossa1, Rosta Simão Mate1.
Abstract
Mozambique is composed by the following forest types: Miombo, Mopane, Mecrusse, and Mangrove. Data on basic wood density at different height levels, tree component dry-mass, and other dendrometric parameters (root collar diameter, diameter at breast height, crown height, crown diameter, live crown length, and stem volume) for eight species typical of Miombo (Afzelia quanzensis Welw., Millettia stuhlmannii Taub., Pterocarpus angolensis DC., Brachystegia spiciformis Benth., and Julbernardia globiflora (Benth.) Troupin), Mopane (Colophospermum mopane Kirk ex J. Léonard), Mecrusse (Androstachys johnsonii Prain), and Mangrove (Avicennia marina (Forssk.)) forests collected from five provinces (Maputo, Gaza, Inhambane, Sofala, and Manica) of Mozambique are presented in this article. Biomass data of Miombo, Mecrusse, and Mopane woodlands were collected destructively, whereas those of Mangrove forests were collected using non-destructive methods.Entities:
Keywords: Mangrove; Mecrusse; Miombo; Mopane; Mozambique's forest ecosystems; Tree and forest biomass
Year: 2020 PMID: 32021892 PMCID: PMC6994829 DOI: 10.1016/j.dib.2020.105154
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
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Here are presented various dendrometric parameters for all indigenous forest types of Mozambique: Miombo, Mopane, Mecrusse, and Mangroves. Tree biomasses presented here can be used to fit site- and species-specific below- and aboveground biomass models and biomass expansion and conversion factors which are very important to estimate carbon pools in forests. The biomass data presented here is a crucial ecological variable for understanding the evolution and potential future changes of the climate system, to assess nutrient cycling and fluxes and energy wood potentials, etc. The basic density is a useful measure of quality of the wood and can be used to infer about the decomposition rate of the wood and wood debris of each species. The data can be used to develop models to predict wood density variation using species and position on the stem as independent variables. These models and the wood density itself can be used to estimate carbon stored in woody stems of trees. |