Predictable hotspots and foraging habitat of the endangered short-tailed albatross (Phoebastria albatrus) in the North Pacific: Implications for conservation

Piatt, John F.; Wetzel, Jennifer; Bell, K.; DeGange, Anthony R.; Balogh, Gregory R.; Drew, Gary S.; Geernaert, Tracee O.; Ladd, Carol; Byrd, G. Vernon

doi:10.1016/j.dsr2.2006.01.008

Cited by 74 publications

(53 citation statements)

References 29 publications

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“…These areas were visited by immature short-tailed albatrosses in this study. This is in contrast to few recent at-sea sightings and no use by previously tracked short-tailed albatrosses (Piatt et al 2006, Suryan et al 2006, Suryan & Fischer 2010, Kuletz et al 2014. Use of the western coast of North America was common, and coincided with previous tracking studies and at-sea observations (Suryan et al 2006, Guy et al 2013, except in the southern California Current as tracked juveniles ranged into the region near Point Conception.…”

Section: Discussionmentioning

confidence: 48%

“…This can partially be explained by higher fisheries overlap (Suryan et al 2007). Adult short-tailed albatrosses forage over both oceanic and neritic habitats across the North Pacific (Hasegawa & DeGange 1982, Suryan et al 2006, concentrating along biologically productive shelf-break areas (Piatt et al 2006), while juveniles appear to use shelf-based habitats more, especially in the Sea of Okhotsk, Bering Sea, and along the US west coast (Suryan et al 2007, Deguchi et al 2014. The risks juveniles encounter are especially pertinent, when considering conservation actions such as translocations and colony reestablishments, as the success of these efforts hinges on juvenile birds surviving to enter the breeding population in their new locality (Jones & Kress 2012).…”

Section: Introductionmentioning

confidence: 99%

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Ontogenetic changes in at-sea distributions of immature short-tailed albatrosses Phoebastria albatrus

Orben¹,

O'Connor²,

Suryan³

et al. 2018

Endang. Species. Res.

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Section: Discussionmentioning

confidence: 48%

Section: Introductionmentioning

confidence: 99%

Ontogenetic changes in at-sea distributions of immature short-tailed albatrosses Phoebastria albatrus

Orben¹,

O'Connor²,

Suryan³

et al. 2018

Endang. Species. Res.

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“…The low total variance explained by our model may have been influenced by the multi-specific nature of our analysis (sightings of two turtle species merged), or a high degree of independent behavior exhibited by turtles, as has been demonstrated from satellite tagged turtles (e.g., Papi et al, 1997;Hatase et al, 2002Hatase et al, , 2006. Using models to predict and explain the distribution of marine megafauna and how it correlates with oceanographic or bathymetric variables is difficult (Polovina et al, 2004;Piatt et al, 2006;Sleeman et al, 2007). Further complications arise as these models struggle to account for the complexity of animal behavior, particularly predators (Sleeman et al, 2007).…”

Section: Predictors Of Turtle Abundancementioning

confidence: 99%

Spatial Distribution and Residency of Green and Loggerhead Sea Turtles Using Coastal Reef Habitats in Southern Mozambique

et al. 2017

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Sea turtles spend the majority of their immature and adult lives in foraging grounds, yet few studies have examined their abundance and condition in these areas when compared to more accessible nesting beach habitats. Here, a 5-year dive log, photo-identification (photo-ID) and surface encounter datasets were used to investigate the abundance, individual movements and distribution of sea turtles along 40 km of coastal reefs in southern Mozambique. A generalized linear model (GLM) was constructed with turtle sightings as the response variable. Habitat type, year and day of the year, as well as underwater visibility, were significant predictors of turtle sightings. However, only 8% of the total variance was explained by the model, indicating that other variables have a significant influence on turtle movement and distribution. Photo-ID differentiated 22 individual green turtles Chelonia mydas and 42 loggerhead turtles Caretta caretta from 323 photo-ID encounters. A majority (64%) of the photos could be used to identify the individual. Although residency times of up to 1152 days were calculated for juvenile green turtles, a low overall resighting rate indicates that individual turtles either had large home ranges or were transient to the area. Surface encounter data revealed a preference for nearshore shallow waters and an increased abundance close to reef systems. Sea turtles' preferences for shallow, nearshore habitats are likely to increase the encounter risk with opportunistic and targeted artisanal fishers who catch sea turtles.

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“…Elevated abundance of seabirds is found in areas characterized by high production or accumulation of biological matter, such as in frontal areas delineating different water masses (Abrams 1985, Wahl et al 1989, Pakhomov & McQuaid 1996, Hyrenbach et al 2007), along the continental edge (Hay 1992, Piatt et al 2006, or in inshore waters (Harrison et al 1994). On a smaller scale, local interactions between currents and the sea bottom may structure water masses into zones with different properties.…”

Section: Spatial Handicaps Of Preymentioning

confidence: 99%

Spatial interaction between seabirds and prey: review and synthesis

Fauchald¹

2009

Mar. Ecol. Prog. Ser.

145

142

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The Ideal Free Distribution theory predicts a close spatial match between predators and prey. Studies have shown that seabird and prey distribution seldom conforms with this prediction. In this study, I review recent theoretical advances in spatial predator-prey interactions and relate these with studies of seabirds and pelagic schooling fish and crustaceans. Studies on seabirds and prey have generally assumed that prey are nonresponsive. Predator-prey interactions should, however, be viewed as a 2-way spatial game where seabirds track concentrations of prey while prey move away from areas with high risk of predation. The outcome of the game depends on how seabirds and prey are spatially constrained. Constraints include the spatial distribution of resources, interspecific competition, the location of spawning and breeding areas, and limitations on diving depth. Although game theoretic models can explain some general aspects of the spatial interaction, the spatial distribution of seabirds and prey is generally much more aggregated and elusive than can be expected from the game theoretic equilibrium. This is because spatial pattern is formed through selforganizing behavior that includes schooling, local enhancement and area-restricted search (ARS). Schooling and local enhancement are processes with strong positive density dependence that destabilize the predator-prey interaction locally. However, the unstable local dynamics might be stabilized by spatial constraints and the effects of ARS processes at large scales.

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Predictable hotspots and foraging habitat of the endangered short-tailed albatross (Phoebastria albatrus) in the North Pacific: Implications for conservation

Cited by 74 publications

References 29 publications

Ontogenetic changes in at-sea distributions of immature short-tailed albatrosses Phoebastria albatrus

Ontogenetic changes in at-sea distributions of immature short-tailed albatrosses Phoebastria albatrus

Spatial Distribution and Residency of Green and Loggerhead Sea Turtles Using Coastal Reef Habitats in Southern Mozambique

Spatial interaction between seabirds and prey: review and synthesis

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