Literature DB >> 22645807

Identification of distinct movement patterns in Pacific leatherback turtle populations influenced by ocean conditions.

Helen Bailey1, Scott R Benson, George L Shillinger, Steven J Bograd, Peter H Dutton, Scott A Eckert, Stephen J Morreale, Frank V Paladino, Tomoharu Eguchi, David G Foley, Barbara A Block, Rotney Piedra, Creusa Hitipeuw, Ricardo F Tapilatu, James R Spotila.   

Abstract

Interactions with fisheries are believed to be a major cause of mortality for adult leatherback turtles (Dermochelys coriacea), which is of particular concern in the Pacific Ocean, where they have been rapidly declining. In order to identify where these interactions are occurring and how they may be reduced, it is essential first to understand the movements and behavior of leatherback turtles. There are two regional nesting populations in the East Pacific (EP) and West Pacific (WP), comprising multiple nesting sites. We synthesized tracking data from the two populations and compared their movement patterns. A switching state-space model was applied to 135 Argos satellite tracks to account for observation error, and to distinguish between migratory and area-restricted search behaviors. The tracking data, from the largest leatherback data set ever assembled, indicated that there was a high degree of spatial segregation between EP and WP leatherbacks. Area-restricted search behavior mainly occurred in the southeast Pacific for the EP leatherbacks, whereas the WP leatherbacks had several different search areas in the California Current, central North Pacific, South China Sea, off eastern Indonesia, and off southeastern Australia. We also extracted remotely sensed oceanographic data and applied a generalized linear mixed model to determine if leatherbacks exhibited different behavior in relation to environmental variables. For the WP population, the probability of area-restricted search behavior was positively correlated with chlorophyll-a concentration. This response was less strong in the EP population, but these turtles had a higher probability of search behavior where there was greater Ekman upwelling, which may increase the transport of nutrients and consequently prey availability. These divergent responses to oceanographic conditions have implications for leatherback vulnerability to fisheries interactions and to the effects of climate change. The occurrence of leatherback turtles within both coastal and pelagic areas means they have a high risk of exposure to many different fisheries, which may be very distant from their nesting sites. The EP leatherbacks have more limited foraging grounds than the WP leatherbacks, which could make them more susceptible to any temperature or prey changes that occur in response to climate change.

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Mesh:

Year:  2012        PMID: 22645807     DOI: 10.1890/11-0633

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  12 in total

1.  Long-term trends in the foraging ecology and habitat use of an endangered species: an isotopic perspective.

Authors:  Elizabeth D Hetherington; Jeffrey A Seminoff; Peter H Dutton; Lisa C Robison; Brian N Popp; Carolyn M Kurle
Journal:  Oecologia       Date:  2018-11-08       Impact factor: 3.225

2.  Predicting bycatch hotspots for endangered leatherback turtles on longlines in the Pacific Ocean.

Authors:  John H Roe; Stephen J Morreale; Frank V Paladino; George L Shillinger; Scott R Benson; Scott A Eckert; Helen Bailey; Pilar Santidrián Tomillo; Steven J Bograd; Tomoharu Eguchi; Peter H Dutton; Jeffrey A Seminoff; Barbara A Block; James R Spotila
Journal:  Proc Biol Sci       Date:  2014-01-08       Impact factor: 5.349

3.  Inferring behavioral states of grazing livestock from high-frequency position data alone.

Authors:  Hermel Homburger; Manuel K Schneider; Sandra Hilfiker; Andreas Lüscher
Journal:  PLoS One       Date:  2014-12-04       Impact factor: 3.240

4.  Jellyfish distribution in space and time predicts leatherback sea turtle hot spots in the Northwest Atlantic.

Authors:  Bethany Nordstrom; Michael C James; Boris Worm
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

5.  Quantifying habitat selection and variability in habitat suitability for juvenile white sharks.

Authors:  Connor F White; Kady Lyons; Salvador J Jorgensen; John O'Sullivan; Chuck Winkler; Kevin C Weng; Christopher G Lowe
Journal:  PLoS One       Date:  2019-05-08       Impact factor: 3.240

6.  Modeling the active dispersal of juvenile leatherback turtles in the North Atlantic Ocean.

Authors:  Maxime Lalire; Philippe Gaspar
Journal:  Mov Ecol       Date:  2019-02-28       Impact factor: 3.600

7.  Leatherback turtle movements, dive behavior, and habitat characteristics in ecoregions of the Northwest Atlantic Ocean.

Authors:  Kara L Dodge; Benjamin Galuardi; Timothy J Miller; Molly E Lutcavage
Journal:  PLoS One       Date:  2014-03-19       Impact factor: 3.240

8.  Satellite tracking of sympatric marine megafauna can inform the biological basis for species co-management.

Authors:  Christian Gredzens; Helene Marsh; Mariana M P B Fuentes; Colin J Limpus; Takahiro Shimada; Mark Hamann
Journal:  PLoS One       Date:  2014-06-03       Impact factor: 3.240

9.  Pan-atlantic analysis of the overlap of a highly migratory species, the leatherback turtle, with pelagic longline fisheries.

Authors:  S Fossette; M J Witt; P Miller; M A Nalovic; D Albareda; A P Almeida; A C Broderick; D Chacón-Chaverri; M S Coyne; A Domingo; S Eckert; D Evans; A Fallabrino; S Ferraroli; A Formia; B Giffoni; G C Hays; G Hughes; L Kelle; A Leslie; M López-Mendilaharsu; P Luschi; L Prosdocimi; S Rodriguez-Heredia; A Turny; S Verhage; B J Godley
Journal:  Proc Biol Sci       Date:  2014-04-07       Impact factor: 5.349

10.  Discrete, high-latitude foraging areas are important to energy budgets and population dynamics of migratory leatherback turtles.

Authors:  Bryan P Wallace; Michael Zolkewitz; Michael C James
Journal:  Sci Rep       Date:  2018-07-20       Impact factor: 4.379

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