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Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches

Publication ,  Journal Article
Windle, AE; Shane Hooley, D; Johnston, DW
Published in: Frontiers in Marine Science
December 20, 2018

Nesting sea turtles appear to avoid brightly lit beaches and often turn back to sea prematurely when exposed to artificial light. Observations and experiments have noted that nesting turtles prefer darker areas where buildings and high dunes act as light barriers. As a result, sea turtles often nest on darker beaches, creating spatial concentrations of nests. Artificial nighttime light, or light pollution, has been quantified using a variety of methods. However, it has proven challenging to make accurate measurements of ambient light at fine scales and on smaller nesting beaches. Additionally, light has traditionally been measured from stationary tripods perpendicular to beach vegetation, disregarding the point of view of a nesting sea turtle. In the present study, nighttime ambient light conditions were assessed on three beaches in central North Carolina: a developed coastline of a barrier island, a nearby State Park on the same barrier island comprised of protected and undeveloped land, and a completely uninhabited wilderness on an adjacent barrier island in the Cape Lookout National Seashore. Using an autonomous terrestrial rover, high resolution light measurements (mag/arcsec2) were collected every minute with two ambient light sensors along transects on each beach. Spatial comparisons between ambient light and nesting density at and between these locations reveal that highest densities of nests occur in regions with lowest light levels, supporting the hypothesis that light pollution from coastal development may influence turtle nesting distribution. These results can be used to support ongoing management strategies to mitigate this pressing conservation issue.

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Published In

Frontiers in Marine Science

DOI

EISSN

2296-7745

Publication Date

December 20, 2018

Volume

5

Issue

DEC

Related Subject Headings

  • 3708 Oceanography
  • 3705 Geology
  • 3103 Ecology
  • 0602 Ecology
  • 0405 Oceanography
 

Citation

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Windle, A. E., Shane Hooley, D., & Johnston, D. W. (2018). Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches. Frontiers in Marine Science, 5(DEC). https://doi.org/10.3389/fmars.2018.00493
Windle, A. E., D. Shane Hooley, and D. W. Johnston. “Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches.” Frontiers in Marine Science 5, no. DEC (December 20, 2018). https://doi.org/10.3389/fmars.2018.00493.
Windle AE, Shane Hooley D, Johnston DW. Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches. Frontiers in Marine Science. 2018 Dec 20;5(DEC).
Windle, A. E., et al. “Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches.” Frontiers in Marine Science, vol. 5, no. DEC, Dec. 2018. Scopus, doi:10.3389/fmars.2018.00493.
Windle AE, Shane Hooley D, Johnston DW. Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches. Frontiers in Marine Science. 2018 Dec 20;5(DEC).

Published In

Frontiers in Marine Science

DOI

EISSN

2296-7745

Publication Date

December 20, 2018

Volume

5

Issue

DEC

Related Subject Headings

  • 3708 Oceanography
  • 3705 Geology
  • 3103 Ecology
  • 0602 Ecology
  • 0405 Oceanography