2023
DOI: 10.1177/19400829231166832
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Reconstructing Historical Distribution of Large Mammals and their Habitat to Inform Rewilding and Restoration in Central Tanzania

Abstract: Backgroundand research aim: In the anthropogenic landscapes where historically wildlife existed, there can be a potential for rewilding to reverse extinction. However, there is limited literature providing approaches to achieve successful rewilding. The current study aimed at providing empirical based methodological procedures for successful rewilding of the University of Dodoma (UDOM) and nearby degraded landscape by assessing past and current vegetation and large mammal species’ occurrence. Methodology: The … Show more

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Cited by 2 publications
(1 citation statement)
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“…Past studies indicate that the development of tourism in Tanzania has been hindered by the low involvement of local residents, resulting in minimal support for the tourism sector (Amani, 2023c). Additionally, the Dodoma region boasts a wealth of potential resources for nature-based tourism, including the Swagaswaga Game Reserve, home to unique species in sub-Saharan Africa (Athumani et al, 2023;Nyakeko and Nyahongo, 2020). Moreover, the region is blessed with the Mkungunero Game Reserve, which is part of the Tarangire-Manyara ecosystem (Foley and Foley, 2022;John et al, 2020).…”
Section: Study Setting and Research Designmentioning
confidence: 99%
“…Past studies indicate that the development of tourism in Tanzania has been hindered by the low involvement of local residents, resulting in minimal support for the tourism sector (Amani, 2023c). Additionally, the Dodoma region boasts a wealth of potential resources for nature-based tourism, including the Swagaswaga Game Reserve, home to unique species in sub-Saharan Africa (Athumani et al, 2023;Nyakeko and Nyahongo, 2020). Moreover, the region is blessed with the Mkungunero Game Reserve, which is part of the Tarangire-Manyara ecosystem (Foley and Foley, 2022;John et al, 2020).…”
Section: Study Setting and Research Designmentioning
confidence: 99%