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.

Highlights

  • Data on dendrometric parameters, basic wood density, below- and aboveground biomass of tree species from Mangrove, Miombo, Mopane, and Mecrusse woodlands

  • Mozambique is composed by the following forest types: Miombo, Mopane, Mecrusse, and Mangrove

  • Leonard), 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

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Summary

Specifications Table

Table Biomass data and related dendrometric variables of Miombo, Mecrusse, and Mopane woodlands were collected destructively, whereas those of Mangrove forests were collected using non-destructive sampling methods. Trees were measured for different dendrometric variables (root collar diameter, diameter at breast height, tree height, live crown length, and crown radius) within sampling plots. Value of the Data Here are presented various dendrometric parameters for all indigenous forest types of Mozambique: Miombo, Mopane, Mecrusse, and Mangroves. 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

Data description
Sampling design and measurement of dendrometric variables
Destructive biomass sampling
Non-destructive biomass sampling
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