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L

L. Mbwambo

Researcher at Forest Research Institute

Publications -  9
Citations -  261

L. Mbwambo is an academic researcher from Forest Research Institute. The author has contributed to research in topics: Forest management & Joint Forest Management. The author has an hindex of 5, co-authored 8 publications receiving 236 citations.

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Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania

TL;DR: In this paper, the authors developed a modeling approach for the economic valuation of annual Non-Timber Forest Product (NTFP) extraction at a large spatial scale, which has four main strengths: (1) it is based on household production functions using data of actual household behaviour, it is spatially sensitive, using a range of explanatory variables related to socio-demographic characteristics, population density, resource availability and accessibility, and it is generic and can therefore be up-scaled across nonsurveyed areas.
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Impact of decentralised forest management on forest resource conditions in Tanzania

TL;DR: In this paper, the impacts of decentralised forest management on forest resource changes were assessed in six contrasting forest reserves regarding management regimes, that is, Joint Forest Management (JFM), in National Forest Reserves, owned by the State), Community Based Forest Management(CBFM), and ordinary centralized state management, were selected.

Forestland tenure systems in Tanzania: an overview of policy changes in relation to forest management

TL;DR: In this paper, the authors propose a framework for naturforvaltning and biodiversity preservation in the Nordic region.Universitetetet for miljo- og biovitenskap 2009
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Modelling diameter growth, mortality and recruitment of trees in miombo woodlands of Tanzania

TL;DR: In this article, the authors developed a model system describing forest dynamics based on easily measurable tree variables, such as individual tree diameter growth and mortality models, and area-based recruitment models.