Date: January 16, 2018
Source: Duke University
Olive Ridley sea turtles come
ashore to nest at Ostional National Wildlife Refuge in Costa Rica.
Credit: Vanessa Bézy, University
of North Carolina at Chapel Hill
Hundreds of thousands of sea
turtles come ashore to lay their eggs during mass-nesting events at Ostional
National Wildlife Refuge on Costa Rica's Pacific coast, making it one of the
most important nesting beaches in the world.
Now aerial drones are giving
scientists deeper insights into just how important the beach and its nearshore
waters are.
Using a fixed-wing drone to
conduct aerial surveys of olive ridley sea turtles in waters off Ostional
during four days in August 2015, scientists from Duke University and the
University of North Carolina at Chapel Hill (UNC-CH) estimate turtle densities
there may reach as high as 2,086 animals per square kilometer during peak
nesting season.
"These are extraordinary
numbers, much higher than any of us anticipated," said Seth Sykora-Bodie,
a PhD student at Duke's Nicholas School of the Environment, who co-led the
study with Vanessa Bézy, a PhD candidate at UNC-CH.
"Our findings confirm drones
can be used as a powerful tool to study sea turtle abundance at sea, and reveal
incredible densities of turtles in Ostional's nearshore habitat," said
Bézy. "The development of this methodology provides vital new insights for
future conservation and research.”
Equipping the drone with a
high-resolution digital camera with near-infrared vision and flying it just 90
meters above the ocean expanded the field of view and significantly increased
image clarity, allowing the researchers to detect many turtles swimming just
below the water's surface. Observers relying only on visual sightings made from
boats could easily miss these submerged animals because of their angle of view
and the clarity of the water, Sykora-Bodie said.
The researchers published their
peer-reviewed paper Dec. 18 in Scientific Reports. It is the first study to use
unmanned aerial systems (UAS), or drones, to estimate the abundance of sea
turtle populations.
Traditionally, scientists have
collected this type of abundance data using mark-and-recapture studies,
in-water surveys, and censuses of turtles observed on nesting beaches. These
methods can be costly and time-consuming, incur potential risks to both the
observers and the animals, and increase the likelihood that turtles may be
missed or double-counted.
The new pilot study shows that
using camera-equipped drones provides a safe, cost-effective and scientifically
robust alternative.
"Because of the clarity of
the images we can collect, and the greater flexibility we have in where, when
and how we collect them, this approach provides us with better data for
understanding population status and trends, which can then be used to inform
management decisions and develop conservation measures tailored to individual
populations, locations and time frames," Sykora-Bodie said.
Olive ridleys are classified as
vulnerable on the IUCN Red List of Threatened Species. One of the chief threats
they face is being accidentally caught and killed by hooks and other fishing
gear used by longline and trawl fisheries.
To conduct the newly published
study, researchers from Duke's Marine Robotics and Remote Sensing Labflew an
eBee senseFly fixed-wing drone equipped with a near-infrared camera over a
three-kilometer stretch of nearshore water twice daily -- morning and evening
-- on four consecutive days during a mass-nesting event, or arribada, in August
2015. By analyzing the captured images, they identified 684 confirmed turtle
sightings and 409 probable sightings.
Using methods that scientists
regularly employ for estimating the population abundance of marine species
based on surface sightings in traditional surveys, Sykora-Bodie and his
colleagues then calculated a low-end daily estimate of up to 1,299 turtles per
square kilometer in the surveyed area, and a high-end estimate of up to 2,086
turtles. Long-term surveys, coupled with further research on olive ridleys'
dive profile -- how deep they dive, and how long they remain under water --
will be needed to refine these estimates.
Story Source:
Materials
provided by Duke University. Note: Content
may be edited for style and length.
Journal Reference:
1 Seth T. Sykora-Bodie, Vanessa Bezy,
David W. Johnston, Everette Newton, Kenneth J. Lohmann. Quantifying Nearshore
Sea Turtle Densities: Applications of Unmanned Aerial Systems for Population
Assessments. Scientific Reports, 2017; 7 (1) DOI: 10.1038/s41598-017-17719-x
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