2013
DOI: 10.1007/s10164-013-0375-z
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Area utilization patterns of humpback dolphins (Sousa plumbea) in Richards Bay, KwaZulu-Natal, South Africa

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Cited by 20 publications
(14 citation statements)
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“…Furthermore the effective sighting distance of 550 m for the 20 m elevated apartment complex "Cascades" was considerably lower than the effective sighting distance for the 10.5 m elevated Oceanarium, whereas the effective sighting distance for the Pier was undetermined as the rate of detection remained constant up to a distance of 600 m. These findings suggest that the dolphin preference for inshore shallow waters was due to their habitat use pattern and not a distance related bias (De Boer et al 2014). The predominantly inshore distribution as well as the animals' preference for shallow waters has previously been indicated for humpback dolphins in Algoa Bay as well as elsewhere in South Africa (Saayman et al 1972, Saayman and Tayler 1979, Findlay et al 1992, Atkins et al 2004, Keith et al 2013, Mozambique (Guissamulo 2008), Zanzibar (Stensland et al 2006), Australia (Corkeron 1990, Parra et al 2006, Taiwan (Wang et al 2007 and China (Parsons 1998, Jefferson 2000, Hung 2008, with water depth representing the main factor limiting their long-range as well as offshore distribution (e.g., Karczmarski et al 2000, Parra et al 2006, Guissamulo 2008, Hung 2008). Furthermore, a boat-based study conducted in Algoa Bay between 2008 and 2011 confirmed a mean water depth of 6.6 m (range = 2.5-12.5 m, SD = 2.24) for 50 sightings of this species (SP, unpublished data), supporting their preference for shallow-water in Algoa Bay.…”
mentioning
confidence: 68%
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“…Furthermore the effective sighting distance of 550 m for the 20 m elevated apartment complex "Cascades" was considerably lower than the effective sighting distance for the 10.5 m elevated Oceanarium, whereas the effective sighting distance for the Pier was undetermined as the rate of detection remained constant up to a distance of 600 m. These findings suggest that the dolphin preference for inshore shallow waters was due to their habitat use pattern and not a distance related bias (De Boer et al 2014). The predominantly inshore distribution as well as the animals' preference for shallow waters has previously been indicated for humpback dolphins in Algoa Bay as well as elsewhere in South Africa (Saayman et al 1972, Saayman and Tayler 1979, Findlay et al 1992, Atkins et al 2004, Keith et al 2013, Mozambique (Guissamulo 2008), Zanzibar (Stensland et al 2006), Australia (Corkeron 1990, Parra et al 2006, Taiwan (Wang et al 2007 and China (Parsons 1998, Jefferson 2000, Hung 2008, with water depth representing the main factor limiting their long-range as well as offshore distribution (e.g., Karczmarski et al 2000, Parra et al 2006, Guissamulo 2008, Hung 2008). Furthermore, a boat-based study conducted in Algoa Bay between 2008 and 2011 confirmed a mean water depth of 6.6 m (range = 2.5-12.5 m, SD = 2.24) for 50 sightings of this species (SP, unpublished data), supporting their preference for shallow-water in Algoa Bay.…”
mentioning
confidence: 68%
“…, Keith et al . ), Mozambique (Guissamulo ), Zanzibar (Stensland et al . ), Australia (Corkeron , Parra et al .…”
Section: Discussionmentioning
confidence: 99%
“…This near-shore distribution places them in the marine waters most heavily utilized by humans (Keith, Atkins, Johnson, & Karczmarski, 2013;Stensland, Carlen, Sarnblad, Bignert, & Berggren, 2006). This near-shore distribution places them in the marine waters most heavily utilized by humans (Keith, Atkins, Johnson, & Karczmarski, 2013;Stensland, Carlen, Sarnblad, Bignert, & Berggren, 2006).…”
Section: Conservation Priorities For Cetaceans In Tanzaniamentioning
confidence: 86%
“…Implementation of systematically-designed census exercise can provide quantitative baselines in an integrative way. The implementation of transect survey, with the information of GPS and animal-sighting records at each sampling sites, does not only estimate the population abundance inside the survey area but also figures the extent of occurrence by minimum convex polygon (MCP) and core/critical distribution site (such as 50% kernel density estimate), information essential for sound protected area design [13,16,[50][51][52][53][54]. Database from individual photo-ID histories can be used to estimate population size, apparent survival rate and, dependent on the temporal scale of database, life history parameters including Am, RI and Ax.…”
Section: Systematic Demographic Analysis: An Integrative Perspectivementioning
confidence: 99%