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Assessing climate change associated sea level rise impacts on sea turtle nesting beaches using drones, photogrammetry and a novel GPS system

2018Journal article Restricted access
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dc.contributor.authorVarela, Miguel R.
dc.contributor.authorPatrício, Ana Rita
dc.contributor.authorAnderson, Karen
dc.contributor.authorBroderick, Annette C.
dc.contributor.authorDeBell, Leon
dc.contributor.authorHawkes, Lucy A.
dc.contributor.authorTilley, Dominic
dc.contributor.authorSnape, Robin T. E.
dc.contributor.authorWestoby, Matthew J.
dc.contributor.authorGodley, Brendan J.
dc.date.accessioned2018-11-21T16:11:30Z
dc.date.available2018-11-21T16:11:30Z
dc.date.issued2018
dc.description.abstractClimate change associated sea level rise (SLR) is expected to have profound impacts on coastal areas, affecting many species including sea turtles which depend on these habitats for egg incubation. Being able to accurately model beach topography using digital terrain models (DTMs) is therefore crucial to project SLR impacts and develop effective conservation strategies. Traditional survey methods are typically low-cost with low accuracy or high-cost with high accuracy. We present a novel combination of drone-based photogrammetry and a low-cost and portable real-time kinematic (RTK) GPS to create DTMs which are highly accurate (<10 cm error) and visually realistic. This methodology is ideal for surveying coastal sites, can be broadly applied to other species and habitats, and is a relevant tool in supporting the development of Specially Protected Areas. Here we applied this method as a case-study to project three SLR scenarios (0.48, 0.63 and 1.20 m) and assess the future vulnerability and viability of a key nesting habitat for sympatric loggerhead (Caretta caretta) and green turtle (Chelonia mydas) at a key rookery in the Mediterranean. We combined the DTM with 5 years of nest survey data describing location and clutch depth, to identify (1) regions with highest nest densities, (2) nest elevation by species and beach, and (3) estimated proportion of nests inundated under each SLR scenario. On average, green turtles nested at higher elevations than loggerheads (1.8 m vs. 1.32 m, respectively). However, because green turtles dig deeper nests than loggerheads (0.76 m vs. 0.50 m, respectively), these were at similar risk of inundation. For a SLR of 1.2 m, we estimated a loss of 67.3% for loggerhead turtle nests and 59.1% for green turtle nests. Existing natural and artificial barriers may affect the ability of these nesting habitats to remain suitable for nesting through beach migration. This article is protected by copyright. All rights reserved.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationdoi: 10.1111/gcb.14526pt_PT
dc.identifier.doi10.1111/gcb.14526pt_PT
dc.identifier.issn1354-1013
dc.identifier.urihttp://hdl.handle.net/10400.12/6725
dc.language.isoengpt_PT
dc.publisherWileypt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectClimate changept_PT
dc.subjectSea level risept_PT
dc.subjectSea turtlespt_PT
dc.subjectPhotogrammetrypt_PT
dc.subjectDronespt_PT
dc.subjectUAVpt_PT
dc.subjectPiksipt_PT
dc.subjectRemote sensingpt_PT
dc.titleAssessing climate change associated sea level rise impacts on sea turtle nesting beaches using drones, photogrammetry and a novel GPS systempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceUnited Kingdompt_PT
oaire.citation.titleGlobal Change Biologypt_PT
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT

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