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dc.contributor.authorVarela, MR
dc.contributor.authorPatricio, AR
dc.contributor.authorAnderson, K
dc.contributor.authorBroderick, AC
dc.contributor.authorDeBell, L
dc.contributor.authorHawkes, LA
dc.contributor.authorTilley, D
dc.contributor.authorSnape, R
dc.contributor.authorWestoby, MJ
dc.contributor.authorGodley, BJ
dc.date.accessioned2018-11-16T14:31:02Z
dc.date.issued2018-11-14
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.en_GB
dc.description.sponsorshipThe long-term monitoring data used in this article is supported in part by fundraising support from Karşıyaka Turtle Watch, Kuzey Kıbrıs Turkcell, Erwin Warth Foundation, the MAVA foundation, Tony and Angela Wadsworth and the English School of Kyreniaen_GB
dc.identifier.citationPublished online 14 November 2018en_GB
dc.identifier.doi10.1111/gcb.14526
dc.identifier.urihttp://hdl.handle.net/10871/34793
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.rights.embargoreasonUnder embargo until 14 November 2019 in compliance with publisher policyen_GB
dc.rights© 2018 Wiley. All rights reserveden_GB
dc.subjectClimate Changeen_GB
dc.subjectSea Level Riseen_GB
dc.subjectSea Turtlesen_GB
dc.subjectPhotogrammetryen_GB
dc.subjectDronesen_GB
dc.subjectUAVen_GB
dc.subjectPiksien_GB
dc.subjectRemote Sensingen_GB
dc.titleAssessing climate change associated sea level rise impacts on sea turtle nesting beaches using drones, photogrammetry and a novel GPS systemen_GB
dc.typeArticleen_GB
dc.identifier.issn1354-1013
dc.descriptionThis is the author accepted manuscript. The final version is available from Wiley via the DOI in this recorden_GB
dc.identifier.journalGlobal Change Biologyen_GB


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