Exposure of marine turtle nesting grounds to named storms along the continental USA
Abstract
© 2019 by the authors. Named storms can cause substantial impacts on the habitat and
reproductive output of threatened species, such as marine turtles. To determine the
impacts of named storms on marine turtles and inform management, it is necessary to
determine the exposure of marine turtle nesting grounds to recent storm activities.
To address this, remote sensing information of named storm tracks coupled with nesting
ground data were used to investigate the temporal and spatial overlap between nesting
grounds for four species of marine turtles in the continental United States of America.
All species of marine turtles were exposed to named storms, with variation in exposure
driven by the spatial distribution of each population's nesting ground, the temporal
overlap between the storms and reproductive events, and nest placement on the beach.
Loggerhead turtles were the most exposed species to named storms, with the northern
management unit having significantly higher exposure levels than all other loggerhead
management units. Kemp's ridley turtles, in contrast, were found to be the least exposed
species to named storms. This study establishes a valuable current baseline against
which to measure and compare future impacts that result as climate change progresses
and storms become more frequent and intense. Importantly, cumulative and synergetic
effects from other climatic processes and anthropogenic stressors should be considered
in future analysis.
Type
Journal articlePermalink
https://hdl.handle.net/10161/19897Published Version (Please cite this version)
10.3390/rs11242996Publication Info
Fuentes, MMPB; Godfrey, MH; Shaver, D; Ceriani, S; Gredzens, C; Boettcher, R; ...
Wildermann, N (2019). Exposure of marine turtle nesting grounds to named storms along the continental USA.
Remote Sensing, 11(24). pp. 2996-2996. 10.3390/rs11242996. Retrieved from https://hdl.handle.net/10161/19897.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Matthew H. Godfrey
Adjunct Associate Professor

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