2006
DOI: 10.1111/j.1748-7692.2006.00051.x
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POPULATION SIZE, DISTRIBUTION, AND BEHAVIOR OF INDO‐PACIFIC BOTTLENOSE (TURSIOPS ADUNCUS) AND HUMPBACK (SOUSA CHINENSIS) DOLPHINS OFF THE SOUTH COAST OF ZANZIBAR

Abstract: Indo-Pacific bottlenose (Tursiops aduncus) and humpback dolphins (Sousa chinensis) off the south coast of Zanzibar, East Africa, have been subject to both direct and indirect takes as well as disturbance from local dolphin tourism during the last decade. Meanwhile, little or no information on population parameters exists for these animals. In order to assess the anthropogenic threats, a study was conducted between 1999 and 2002 to determine population sizes, distribution, and behavior of these animals. Populat… Show more

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Cited by 69 publications
(101 citation statements)
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“…Individual variability in site fidelity has also been found in other Australian humpback dolphin populations (Parra et al 2006a, Cagnazzi 2010, Cagnazzi et al 2011, as well as in other humpback dolphin species elsewhere (e.g. Karcz marski et al 1999, Stensland et al 2006, Xu et al 2012.…”
Section: Site Fidelity and Residencymentioning
confidence: 63%
“…Individual variability in site fidelity has also been found in other Australian humpback dolphin populations (Parra et al 2006a, Cagnazzi 2010, Cagnazzi et al 2011, as well as in other humpback dolphin species elsewhere (e.g. Karcz marski et al 1999, Stensland et al 2006, Xu et al 2012.…”
Section: Site Fidelity and Residencymentioning
confidence: 63%
“…Dolphins are commonly distributed heterogeneously through their main habitats (Sprogis et al, 2015;Stensland et al, 2006), as they tend to aggregate in areas encompassing the resources to survive and reproduce (Gormley et al, 2012). The spatial and temporal variation in human activity can also influence dolphins' habitat use (Chilvers et al, 2003).…”
Section: Quantifying the Spatio-temporal Interactions Between Dolphinmentioning
confidence: 99%
“…The fishing intensity depends on efficiency and effort (Ellis & Wang 2007), both of which may vary over temporal and spatial scales. In well-managed fisheries with well-controlled quotas, these factors may be estimated and it would be possible to apply different weighting schemes to deal with regional differences in fishery intensity (Hunt et al 1999, Neilson et al 2006, Stensland et al 2006. In complex fisheries with a mix of recreational and commercial fisheries, both efficiency and effort depend on several factors such as incentives to fish (economic and recreational), geographical knowledge of the area, economic opportunities to use different gears and weather (Arlinghaus 2006).…”
mentioning
confidence: 99%