2018
DOI: 10.1371/journal.pone.0203257
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Nesting ecology of hawksbill turtles, Eretmochelys imbricata, in an extreme environmental setting

Abstract: Relatively few details of hawksbill turtle (Eretmochelys imbricata) nesting ecology exist within the Arabian Gulf. Moreover, little is known about how their nesting dynamics compare to nesting populations throughout the rest of the world. Due to the extreme environmental setting, nesting ecology of hawksbills in the Arabian Gulf is of significant interest to researchers and conservationists. The current research reports on a long-term tagging and monitoring program undertaken at Fuwairit beach, Qatar. To inves… Show more

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Cited by 11 publications
(13 citation statements)
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“…Working with the Qatar University Turtle Nesting Monitoring Program and Qatar Petroleum on Halul Island, we participated in beach surveys (motorized and walking) to locate tracks of nesting hawksbills (nesting season in Qatar occurs April-June; Chatting et al, 2018). Once detected, post-nesting individuals were captured by hand as they returned to the sea.…”
Section: Data Collection and Tagging Protocolsmentioning
confidence: 99%
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“…Working with the Qatar University Turtle Nesting Monitoring Program and Qatar Petroleum on Halul Island, we participated in beach surveys (motorized and walking) to locate tracks of nesting hawksbills (nesting season in Qatar occurs April-June; Chatting et al, 2018). Once detected, post-nesting individuals were captured by hand as they returned to the sea.…”
Section: Data Collection and Tagging Protocolsmentioning
confidence: 99%
“…Since body mass and size are correlated with dive depth (Blumenthal et al, 2009c), it is may be that only the largest adult hawksbills can exploit the deepest part of this habitat. This depth may be challenging for some Arabian Gulf hawksbills since they are among the smallest in body size in the world (Chatting et al, 2018). If hawksbills are successfully foraging at these greater depths, the vertical rugose habitat may serve to stratify foraging individuals by size (and age) and partition resources as suggested by Blumenthal et al (2009c).…”
Section: Space-usementioning
confidence: 99%
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