2001
DOI: 10.1080/01431160118422
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Movements of migrating green turtles in relation to AVHRR derived sea surface temperature

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Cited by 36 publications
(12 citation statements)
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“…Using SST satellite and aerial survey data, Coles & Lusick (2000) suggest that the sea turtles are not randomly distributed geographically but stay within preferred temperature ranges that are seasonally variable. Other studies, however, indicate that sea turtles do not follow specific isotherms during migrations and do not make turns en route where specific thermal cues were encountered, suggesting that SST plays a minimal role in influencing the migration/aggregation of the sea turtles (Luschi et al, 1998;Hays et al, 2001). These results seem to coincide with our observations, given that no significant correlation between SST and the arribada was observed.…”
Section: Arribadasupporting
confidence: 88%
“…Using SST satellite and aerial survey data, Coles & Lusick (2000) suggest that the sea turtles are not randomly distributed geographically but stay within preferred temperature ranges that are seasonally variable. Other studies, however, indicate that sea turtles do not follow specific isotherms during migrations and do not make turns en route where specific thermal cues were encountered, suggesting that SST plays a minimal role in influencing the migration/aggregation of the sea turtles (Luschi et al, 1998;Hays et al, 2001). These results seem to coincide with our observations, given that no significant correlation between SST and the arribada was observed.…”
Section: Arribadasupporting
confidence: 88%
“…These problems are increasingly being circumvented by adopting a Lagrangian approach to the study of wide-ranging marine animals in which the individual movement is measured using miniature animal-attached devices, such as satellite-tracking tags (Turchin 1998, Burger and Shaffer 2008, Tremblay et al 2009). Data from these devices can be combined with environmental data collected by satellite remote-sensing (Martin 2004) to give a simultaneous view of both the environment and the movement of known individuals throughout the full extent of their potential home range (e.g., Guinet et al 2001, Hays et al 2001, Hyrenbach et al 2002. Furthermore, advances in statistical modeling are increasingly making it possible to test ecological hypotheses using the large volumes of data that these technologies provide (Guisan and Zimmermann 2000, Aarts et al 2008, Patterson et al 2008.…”
Section: Introductionmentioning
confidence: 99%
“…Understanding such factors is critical for improving management and conservation initiatives for sea turtles. While basic environmental features such as bathymetry, sea surface temperature (SST), and surface currents have been linked to sea turtle movements (Morreale et al 1996, Hays et al 2001, Luschi et al 2003, Pelletier et al 2003, Etnoyer et al 2006, the mechanisms underlying these relationships are inadequately understood. Dynamic mesoscale processes such as SST and chlorophyll fronts -areas of interface between 2 dissimilar water masses -are known to strongly affect water column primary and secondary productivity (Olson et al 1994, Palacios et al 2006, and their status as prey aggregation zones suggests that they too may influence sea turtle movements.…”
Section: Introductionmentioning
confidence: 99%