2018
DOI: 10.1111/mms.12528
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Fine scale distribution for a population of New Zealand's only endemic dolphin (Cephalorhynchus hectori) shows long‐term stability of coastal hotspots

Abstract: Marine mammal populations often have “hotspots” of distribution. Understanding what drives these is important for understanding relationships with habitat and evaluating exposure to threats. Few studies investigate the stability of hotspots, yet this information is vital in assessing their importance. In this study, over 9,000 sightings made during systematic surveys over 29 yr are used to establish the existence, locations, and temporal dynamics of hotspots for Hector's dolphins at Banks Peninsula, New Zealan… Show more

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Cited by 28 publications
(46 citation statements)
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References 76 publications
(169 reference statements)
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“…The cross-correlation coefficients between neighboring beaches clustered into groups of 3-4 beaches (Figure 3) and may correspond to the "preferred areas" noted by Ross et al (1987Ross et al ( , 1989 and Cockcroft et al (1990Cockcroft et al ( , 1991, each extending over about 30-40 km of coastline. Ross et al (1987) speculated that these are home ranges of local/resident populations and recent research has shown that these areas may persist over long temporal scales (Brough et al, 2019). Cockcroft et al (1992) found that sightings of T. aduncus during aerial surveys along the KZN NC were not random, but corresponded to those identified during previous surveys conducted at the same time of year (May; Ross et al, 1987Ross et al, , 1989 and coincided with peaks of sightings made during boat surveys (Cockcroft et al, 1990).…”
Section: Spatial and Seasonal Distribution Of Bycatchmentioning
confidence: 89%
“…The cross-correlation coefficients between neighboring beaches clustered into groups of 3-4 beaches (Figure 3) and may correspond to the "preferred areas" noted by Ross et al (1987Ross et al ( , 1989 and Cockcroft et al (1990Cockcroft et al ( , 1991, each extending over about 30-40 km of coastline. Ross et al (1987) speculated that these are home ranges of local/resident populations and recent research has shown that these areas may persist over long temporal scales (Brough et al, 2019). Cockcroft et al (1992) found that sightings of T. aduncus during aerial surveys along the KZN NC were not random, but corresponded to those identified during previous surveys conducted at the same time of year (May; Ross et al, 1987Ross et al, , 1989 and coincided with peaks of sightings made during boat surveys (Cockcroft et al, 1990).…”
Section: Spatial and Seasonal Distribution Of Bycatchmentioning
confidence: 89%
“…These data were partitioned to investigate dolphin habitat use seasonally and over time (e.g. Brough, Rayment, Slooten, & Dawson, 2019). Seasons were defined as summer (December–February), autumn (March–May), winter (June–August), and spring (September–November).…”
Section: Methodsmentioning
confidence: 99%
“…Henderson, 2013). Fixed KDEs were generated in arcmap 10.6.1 (Environmental Systems Research Institute (ESRI), Redlands, CA) using the ‘Home Range With Barriers’ tool (MacLeod, 2013) to avoid interpolating location points across land features (Brough et al, 2019). KDEs produce a density raster, and 95 and 50% volume contours (PVCs).…”
Section: Methodsmentioning
confidence: 99%
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“…Water depth at the survey regions ranged from 8 to 35m. Three regions were known hotspots for Hector’s dolphin, with the other three being randomly selected ‘reference areas’(see [47] for details). Surveys followed a ‘zig-zag’ pattern in an alongshore direction (Fig 1), at survey speeds between 5 and 6 knots.…”
Section: Methodsmentioning
confidence: 99%