2022
DOI: 10.3389/fmars.2021.733841
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Dolphin Distribution and Habitat Suitability in North Western Australia: Applications and Implications of a Broad-Scale, Non-targeted Dataset

Abstract: Understanding species’ distribution patterns and the environmental and ecological interactions that drive them is fundamental for biodiversity conservation. Data deficiency exists in areas that are difficult to access, or where resources are limited. We use a broad-scale, non-targeted dataset to describe dolphin distribution and habitat suitability in remote north Western Australia, where there is a paucity of data to adequately inform species management. From 1,169 opportunistic dolphin sightings obtained fro… Show more

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Cited by 11 publications
(15 citation statements)
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“…These findings corroborate the relatively high abundance estimates that have been reported in vessel based mark-recapture photo identification studies within the smaller and localized study areas of North West Cape and Exmouth Gulf for both bottlenose (Haughey et al, 2020) and humpback dolphins (Brown et al, 2012;Hunt et al, 2017;Sprogis and Parra, 2022) and inferred for humpback dolphins in Dampier Archipelago (Allen et al, 2012). Similar results have been reported by Hanf et al (2022) who modeled the distribution of these species based on aerial survey data from the western Pilbara. In contrast, the coastal waters between the northern end of Exmouth Gulf and Dampier Archipelago, generally had lower dolphin abundance, consistent with findings from boatbased mark recapture surveys undertaken in 2015 and 2016 in this area (Raudino et al, 2018a).…”
Section: Discussionsupporting
confidence: 89%
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“…These findings corroborate the relatively high abundance estimates that have been reported in vessel based mark-recapture photo identification studies within the smaller and localized study areas of North West Cape and Exmouth Gulf for both bottlenose (Haughey et al, 2020) and humpback dolphins (Brown et al, 2012;Hunt et al, 2017;Sprogis and Parra, 2022) and inferred for humpback dolphins in Dampier Archipelago (Allen et al, 2012). Similar results have been reported by Hanf et al (2022) who modeled the distribution of these species based on aerial survey data from the western Pilbara. In contrast, the coastal waters between the northern end of Exmouth Gulf and Dampier Archipelago, generally had lower dolphin abundance, consistent with findings from boatbased mark recapture surveys undertaken in 2015 and 2016 in this area (Raudino et al, 2018a).…”
Section: Discussionsupporting
confidence: 89%
“…Further, preliminary evidence of populations occurring in offshore areas associated with islands (e.g., Montebello Islands) indicates that the extent of the species' distribution has yet to be fully mapped and it is not yet understood whether there is genetic connectivity between these dolphins and those using nearshore coastal waters of the Pilbara (Raudino et al, 2018b). Overall, their low density, uneven distribution (Hanf et al, 2022), and limited genetic connectivity across their range (Brown et al, 2014(Brown et al, , 2017Parra et al, 2018) make humpback dolphins particularly vulnerable to extinction (Parra et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The Australian snubfin dolphin was not observed, despite previous records in Exmouth Gulf, albeit limited (e.g. Allen et al 2012;Hanf et al 2022). Snubfin dolphins were also not sighted during dedicated studies in adjacent waters of the North West Cape (e.g.…”
Section: Discussionmentioning
confidence: 89%
“…The distribution of dolphins in Exmouth Gulf has been opportunistically assessed through humpback whale (Jenner and Jenner 2005;Irvine and Salgado Kent 2019) and dugong aerial surveys (Preen et al 1997;Hodgson 2007;Hanf et al 2022). However, these flights were not designed specifically as dolphin surveys, and subsequently dolphins were counted secondarily to the focus species, may have been missed/ misidentified, or not identified to species level (Preen et al 1997;Hanf et al 2022).…”
Section: Open Accessmentioning
confidence: 99%
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