ECOLOGICAL SEPARATION OF THE LARGE MAMMAL SPECIES IN THE TARANGIRE GAME RESERVE, TANGANYIKA

1963 ◽  
Vol 1 (1) ◽  
pp. 63-92 ◽  
Author(s):  
H. F. Lamprey
Koedoe ◽  
2014 ◽  
Vol 56 (1) ◽  
Author(s):  
Kerry Slater ◽  
Konrad Muller

Brown hyaenas (Hyaena brunnea) were introduced to Shamwari Game Reserve in the Eastern Cape Province during 2002, but their feeding ecology is poorly understood. Feeding observations of brown hyaena by field guides and the collection of 31 scats from the study area took place over an 11 month period. Standard techniques were used to analyse the scats and identify prey items present. Ten dietary categories were identified from the scats, with a mean of 3.2 dietary categories per scat. Large mammal remains were found in 30 of the 31 scats, with kudu being the most abundant (61.0% of scats). Overall the two methods indicated at least 14 mammal species being fed on by the brown hyaena. The presence of mainly large mammal remains and invertebrates (in 38.7% of all scats), together with the feeding observations of mainly large mammals by field guides, suggests that brown hyaena in Shamwari are mainly scavengers and that sufficient carrion is available, thereby reducing the need for them to hunt. A 52.0% occurrence of plant matter was found in the scats, suggesting that plant material is an important component of their diet. Further studies are underway to investigate the feeding ecology of brown hyaena in Shamwari and surrounding areas.Conservation implications: Comprehensive scat analysis over a number of years, monitoring of individual movement patterns and population numbers of brown hyaena in and around conservation areas will be beneficial in quantifying resource use of this species.


1978 ◽  
Vol 5 (3) ◽  
pp. 191-195 ◽  
Author(s):  
Ronald I. Miller

The isolation of nature reserves by encroaching civilization may provide significant changes in the structure and composition of protected animal communities. Recent models from applied island biogeographic theory provide a means of predicting the possible effects of isolation in the large-mammal community in the Mkomazi Game Reserve of northern Tanzania. A decrease in the number of large-mammal species inhabiting this preserve is predicted by all the models.The dynamic interdependence of the large-mammal communities of East African reserves is vital to their survival and yet is especially vulnerable to disruption from surrounding human activities. Knowledge of the effects of increasing isolation on the complex community interactions among the component ecosystems in East African reserves, will enhance conservationists' ability to minimize extirpation pressures in this region.


2010 ◽  
Vol 9 (3) ◽  
pp. 24 ◽  
Author(s):  
Michael Hofreiter ◽  
Ian Barnes

2016 ◽  
Vol 32 (6) ◽  
pp. 760-769 ◽  
Author(s):  
J. Tyler Faith ◽  
Joe Dortch ◽  
Chelsea Jones ◽  
James Shulmeister ◽  
Kenny J. Travouillon

2008 ◽  
Vol 29 (4) ◽  
pp. 751-760 ◽  
Author(s):  
Moses Makonjio Okello ◽  
Stephanie Grace Manka ◽  
Danielle E. D’Amour

2013 ◽  
Vol 17 (2) ◽  
pp. 115-124 ◽  
Author(s):  
N. Ménard ◽  
A. Foulquier ◽  
D. Vallet ◽  
M. Qarro ◽  
P. Le Gouar ◽  
...  

2015 ◽  
Vol 53 ◽  
pp. 70-77 ◽  
Author(s):  
Christian Kiffner ◽  
Michael Albertini ◽  
Alena Ede ◽  
Brenna Donnellan ◽  
Nathan Hahn ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Akanksha Saxena ◽  
Nilanjan Chatterjee ◽  
Asha Rajvanshi ◽  
Bilal Habib

Abstract Roads impact wildlife in multiple ways, most conspicuous amongst which are animal-vehicle collisions (AVCs). Mitigation measures to reduce AVCs at the local scale are often centred on species-specific crossing zones and collision hotspots. However, at the road network scale, consideration of interactions among road, species and traffic characteristics influencing AVC occurrence is required to design effective mitigation strategies. We modelled traversability—the probability of an animal successfully crossing a road- across an Indian highway for six large mammal species under different scenarios of road and traffic characteristics. Among the study species, group-living and slow-moving animals had higher AVC probabilities that increased significantly with increasing traffic volume and proportions of heavy vehicles in the traffic flow. The risk of AVC was higher for species that were active near roadside habitat during peak traffic hours. Our approach could help identify roads that pose potential mortality risks to animals using empirical data on animal and traffic characteristics. Results suggest that regulating traffic volume and heterogeneity on existing road stretches could potentially reduce animal mortality and barrier effect. Mitigation on roads expected to carry heavy traffic loads passing through ecologically-sensitive areas should be prioritised to ensure traversability for animal communities.


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