scholarly journals Rehabilitated sea turtles tend to resume typical migratory behaviors: satellite tracking juvenile loggerhead, green, and Kemp’s ridley turtles in the northeastern USA

2020 ◽  
Vol 43 ◽  
pp. 133-143
Author(s):  
NJ Robinson ◽  
K Deguzman ◽  
L Bonacci-Sullivan ◽  
RA DiGiovanni ◽  
T Pinou
Keyword(s):  
New York ◽  
Sea Turtles ◽  
Long Island ◽  
Marine Species ◽  
Chelonia Mydas ◽  
Diving Behavior ◽  
Rehabilitation Programs ◽  
In The Wild ◽  
Migratory Movements ◽  
Kemp's Ridley

Wildlife rehabilitation programs are widely employed for many endangered marine species and can serve as engaging platforms for environmental outreach. However, their effectiveness at supporting populations in the wild depends on whether rescued animals can survive and reproduce after being released. Here, we assessed whether cold-stunned juvenile sea turtles resumed typical migratory and diving behaviors after rehabilitation. We deployed satellite transmitters onto 7 rehabilitated loggerhead turtles Caretta caretta, 12 green turtles Chelonia mydas, and 12 Kemp’s ridley turtles Lepidochelys kempii released around Long Island, New York, USA. Of these 31 turtles, 30 were tracked long enough to determine their migratory movements. The majority (83%) left Long Island before local waters dropped below 14°C and avoided being cold-stunned. Most individuals followed migratory routes previously reported for each of the 3 species, migrating to either coastal waters off the southeast USA or oceanic waters of the Gulf Stream. Rehabilitated turtles of each species also resumed typical diving patterns. Four of the remaining 5 turtles that did not migrate away from Long Island were likely cold-stunned again. Overall, most cold-stunned sea turtles tend to resume typical migratory and diving behavior post-rehabilitation.

Diet of Juvenile Kemp's Ridley and Loggerhead Sea Turtles from Long Island, New York

Copeia ◽  
1993 ◽  
Vol 1993 (4) ◽  
pp. 1176 ◽  
Author(s):  
Vincent J. Burke ◽  
Edward A. Standora ◽  
Stephen J. Morreale
Keyword(s):  
New York ◽  
Sea Turtles ◽  
Long Island ◽  
Loggerhead Sea Turtles ◽  
Kemp's Ridley

Factors Affecting Strandings of Cold-Stunned Juvenile Kemp's Ridley and Loggerhead Sea Turtles in Long Island, New York

Copeia ◽  
1991 ◽  
Vol 1991 (4) ◽  
pp. 1136 ◽  
Author(s):  
Vincent J. Burke ◽  
Edward A. Standora ◽  
Stephen J. Morreale
Keyword(s):  
New York ◽  
Sea Turtles ◽  
Long Island ◽  
Loggerhead Sea Turtles ◽  
Factors Affecting ◽  
Kemp's Ridley

scholarly journals Revealing Sea Turtle Behavior in Relation to Fishing Gear Using Color-Coded Spatiotemporal Motion Patterns With Deep Neural Networks

2021 ◽  
Vol 8 ◽  
Author(s):  
Janie L. Reavis ◽  
H. Seckin Demir ◽  
Blair E. Witherington ◽  
Michael J. Bresette ◽  
Jennifer Blain Christen ◽  
...  
Keyword(s):  
Sea Turtles ◽  
Marine Species ◽  
Chelonia Mydas ◽  
Sea Turtle ◽  
Time Frame ◽  
Visual Object ◽  
Fishing Gear ◽  
Motion Patterns ◽  
Incidental Capture ◽  
Marine Megafauna

Incidental capture, or bycatch, of marine species is a global conservation concern. Interactions with fishing gear can cause mortality in air-breathing marine megafauna, including sea turtles. Despite this, interactions between sea turtles and fishing gear—from a behavior standpoint—are not sufficiently documented or described in the literature. Understanding sea turtle behavior in relation to fishing gear is key to discovering how they become entangled or entrapped in gear. This information can also be used to reduce fisheries interactions. However, recording and analyzing these behaviors is difficult and time intensive. In this study, we present a machine learning-based sea turtle behavior recognition scheme. The proposed method utilizes visual object tracking and orientation estimation tasks to extract important features that are used for recognizing behaviors of interest with green turtles (Chelonia mydas) as the study subject. Then, these features are combined in a color-coded feature image that represents the turtle behaviors occurring in a limited time frame. These spatiotemporal feature images are used along a deep convolutional neural network model to recognize the desired behaviors, specifically evasive behaviors which we have labeled “reversal” and “U-turn.” Experimental results show that the proposed method achieves an average F1 score of 85% in recognizing the target behavior patterns. This method is intended to be a tool for discovering why sea turtles become entangled in gillnet fishing gear.

Organohalogen contaminants in blood of Kemp’s ridley (Lepidochelys kempii) and green sea turtles (Chelonia mydas) from the Gulf of Mexico

Chemosphere ◽  
2010 ◽  
Vol 78 (6) ◽  
pp. 731-741 ◽  
Author(s):  
Robert F. Swarthout ◽  
Jennifer M. Keller ◽  
Margie Peden-Adams ◽  
Andre M. Landry ◽  
Patricia A. Fair ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Sea Turtles ◽  
Chelonia Mydas ◽  
Lepidochelys Kempii ◽  
Green Sea Turtles ◽  
Kemp's Ridley

scholarly journals Sea turtles in the eastern margin of the North Atlantic: the northern Ibero-Moroccan Gulf as an important neritic area for sea turtles

2018 ◽  
Author(s):  
JUAN JESÚS BELLIDO LÓPEZ ◽  
ESTEFANIA TORREBLANCA ◽  
JOSÉ CARLOS BAEZ ◽  
JUAN ANTONIO CAMIÑAS
Keyword(s):  
North Atlantic ◽  
Adult Stage ◽  
Sea Turtles ◽  
Atlantic Coast ◽  
Chelonia Mydas ◽  
Leatherback Turtles ◽  
The North ◽  
Loggerhead Turtles ◽  
Kemp's Ridley ◽  
Neritic Habitat

This study summarizes nearly 20 years (1997-2015) of tracking strandings of sea turtles along the Andalusian coast. In this period 2495 specimens were recorded, most of them loggerhead turtles Caretta caretta (92.6%) and leatherback turtles Demochelys coriacea (7.1%). Two other species were almost insinificant, green turtle Chelonia mydas (0.2%) and Kemp’s ridley Lepidochelys kempi (0.1%). Significant part of the turtles were recorded in the Atlantic coast, although in this area the incidence of alive specimens was low. Spring and summer were the seasons with more specimens stranded, probably related to warmer and more productive waters. The size of the loggerhead turtles observed highlights an important presence of inmature specimens in Andalusian waters, although mature individuals were not rare. In the case of leatherback turtles, adult stage is the only detected in the specimens recorded.These results, combined with the fact that the Atlantic coast has a large continental shelf and a high primary productivity near the coast, suggesting that the gulf of Cádiz may represent a neritic habitat used by the sea turtles. In this case, new and more effective politics of conservation are needed in order to protect sea turtles in this area.

scholarly journals A Baseline Model For Estimating the Risk of Gas Embolism in Sea Turtles During Routine Dives

2021 ◽  
Vol 12 ◽  
Author(s):  
Nathan J. Robinson ◽  
Daniel García-Párraga ◽  
Brian A. Stacy ◽  
Alexander M. Costidis ◽  
Gabriela S. Blanco ◽  
...  
Keyword(s):  
Cardiac Output ◽  
Marine Mammals ◽  
Sea Turtles ◽  
Chelonia Mydas ◽  
Sea Turtle ◽  
Dermochelys Coriacea ◽  
Diving Behavior ◽  
Gas Embolism ◽  
Baseline Model ◽  
Leatherback Turtles

Sea turtles, like other air-breathing diving vertebrates, commonly experience significant gas embolism (GE) when incidentally caught at depth in fishing gear and brought to the surface. To better understand why sea turtles develop GE, we built a mathematical model to estimate partial pressures of N2 (PN2), O2 (PO2), and CO2 (PCO2) in the major body-compartments of diving loggerheads (Caretta caretta), leatherbacks (Dermochelys coriacea), and green turtles (Chelonia mydas). This model was adapted from a published model for estimating gas dynamics in marine mammals and penguins. To parameterize the sea turtle model, we used values gleaned from previously published literature and 22 necropsies. Next, we applied this model to data collected from free-roaming individuals of the three study species. Finally, we varied body-condition and cardiac output within the model to see how these factors affected the risk of GE. Our model suggests that cardiac output likely plays a significant role in the modulation of GE, especially in the deeper diving leatherback turtles. This baseline model also indicates that even during routine diving behavior, sea turtles are at high risk of GE. This likely means that turtles have additional behavioral, anatomical, and/or physiologic adaptions that serve to reduce the probability of GE but were not incorporated in this model. Identifying these adaptations and incorporating them into future iterations of this model will further reveal the factors driving GE in sea turtles.

scholarly journals Multi-Injection Pharmacokinetics of Meloxicam in Kemp’s Ridley (Lepidochelys kempii) and Green (Chelonia mydas) Sea Turtles after Subcutaneous Administration

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3522
Author(s):  
Terry M. Norton ◽  
Tonya Clauss ◽  
Rachel Overmeyer ◽  
Stephanie Stowell ◽  
Michelle Kaylor ◽  
...  
Keyword(s):  
Side Effects ◽  
Sea Turtles ◽  
Chelonia Mydas ◽  
Multiple Injection ◽  
Lepidochelys Kempii ◽  
Multiple Injections ◽  
Green Sea Turtles ◽  
Kemp's Ridley Sea Turtles ◽  
Kemp's Ridley ◽  
Injection Study

The objective of this study was to determine the pharmacokinetics and safety of multiple injections of meloxicam (MLX) administered subcutaneously (SQ) in Kemp’s ridley (Lepidochelys kempii) and green (Chelonia mydas) sea turtles. Based on results from a previously published single-injection study, a multiple-injection regimen was derived for the Kemp’s ridleys, which consisted of administering MLX at a dose of 1 mg/kg SQ every 12 h for 5 days, and for green turtles at a dose of 1 mg/kg SQ every 48 h for three treatments. Six turtles of each species were used for the study, and blood samples were taken at multiple time intervals. The terminal half-life after the last dose for the Kemp’s ridley sea turtles was calculated at 7.18 h, and for the green sea turtles at 23.71 h. Throughout the multiple injections, MLX concentrations remained above 0.57 µg/mL, a concentration targeted in humans for the analgesic and anti-inflammatory effects. No negative side effects or changes to blood parameters evaluated were observed during the study in either species. The results of this study suggest MLX should be administered SQ to Kemp’s ridley sea turtles at a dosage of 1 mg/kg every 12 h and in green sea turtles at a dose of 1 mg/kg every 48 h. The novelty of this work is that it is a multiple-injection study. Multiple injections were administered and produced concentrations that were considered therapeutic in humans, and the turtles did not have any adverse side effects. Furthermore, there were large differences in the pharmacokinetic values between green and Kemp’s ridley sea turtles.

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