Forest Degradation in Tanzania: A Systematic Literature Review

Author:

F. Nzunda Emmanuel,S. Yusuph Amri

Abstract

Forest degradation is a process in which the biological diversity of a forest area is permanently reduced due to one or more factors. Forest degradation continues at an alarming rate, contributing significantly to the loss of biodiversity around the world. This chapter presents the findings of a systematic literature review of forest degradation in Tanzania. The PRISMA method was employed in the study’s search, document selection, and data analysis. There were more studies more recently due to the increasing interest in forest degradation as an important aspect of forest management. Most terms are mentioned less frequently in the document title than in the document as a whole, indicating research gaps for the research topics represented by the research terms. Some terms are covered less than expected, given their significance in forest degradation. The estimated annual volume removals exceed the estimated mean annual increment, indicating forest management in Tanzania is not sustainable. The most mentioned region was Dar es Salaam, while the list mentioned was Rukwa. It is expected that forest stakeholders will find the analysis presented in this study useful. Furthermore, the stakeholders will find interest in addressing temporal, spatial, and thematic research gaps highlighted in this chapter.

Publisher

IntechOpen

Reference23 articles.

1. FAO. Global Forest Resources Assessment 2020 Report United Republic of Tanzania. Rome: FAO; 2020

2. Kideghesho JR. Realities on deforestation in Tanzania – Trends, drivers, implications and the way forward. In: Precious Forests-Precious Earth. InTech; 2015. DOI: 10.5772/61002

3. IUCN. IUCN Red List of Threatened Species. 2013. Available from: http://www.iucnredlist.org/

4. Kessy JF, Nsokko E, Kaswamila A, Kimaro F. Analysis of drivers and agents of deforestation and forest degradation in Masito Forests, Kigoma, Tanzania. International Journal of Asian Social Science. 2016;6(2):93-107

5. Malimbwi RE, Eid TH, Chamshama SAO. Allometric volume and biomass models in Tanzania. 2016.

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