Dynamic optimal foraging theory explains vertical migrations of Bigeye tuna

Thygesen, Uffe Høgsbro; Sommer, Lene; Evans, Karen; Patterson, Toby A.

doi:10.1890/15-1130.1

Cited by 27 publications

(23 citation statements)

References 38 publications

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“…This theory is supported by numerous empirical studies (e.g. [6–8]). In response to resource heterogeneity, selection will therefore favour efficient foraging behaviour, whereby individuals minimize the energetic costs of searching and transiting between high-resource locations and maximize resource intake [1,3].…”

Section: Introductionmentioning

confidence: 55%

Environmental heterogeneity decreases reproductive success via effects on foraging behaviour

et al. 2019

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Environmental heterogeneity shapes the uneven distribution of resources available to foragers, and is ubiquitous in nature. Optimal foraging theory predicts that an animal's ability to exploit resource patches is key to foraging success. However, the potential fitness costs and benefits of foraging in a heterogeneous environment are difficult to measure empirically. Heterogeneity may provide higher-quality foraging opportunities, or alternatively could increase the cost of resource acquisition because of reduced patch density or increased competition. Here, we study the influence of physical environmental heterogeneity on behaviour and reproductive success of black-legged kittiwakes, Rissa tridactyla . From GPS tracking data at 15 colonies throughout their British and Irish range, we found that environments that were physically more heterogeneous were associated with longer trip duration, more time spent foraging while away from the colony, increased overlap of foraging areas between individuals and lower breeding success. These results suggest that there is greater competition between individuals for finite resources in more heterogeneous environments, which comes at a cost to reproduction. Resource hotspots are often considered beneficial, as individuals can learn to exploit them if sufficiently predictable. However, we demonstrate here that such fitness gains can be countered by greater competition in more heterogeneous environments.

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Section: Introductionmentioning

confidence: 55%

Environmental heterogeneity decreases reproductive success via effects on foraging behaviour

et al. 2019

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“…It is also possible that year to year variation in the movement and exchange of Atlantic bluefin tuna was due in part to random exploratory and/or physiologically motivated movements to optimize feeding (e.g., dynamic optimal foraging theory) or energetics, which may or may not be linked to ocean-scale events described above (Giuggioli and Bartumeus, 2010;Hays et al, 2016;Thygesen et al, 2016). Optimal foraging theory predicts that movements by this species should occur in a manner to most efficiently use resources (i.e., prey) that are inherently spatially heterogeneous throughout the North Atlantic Ocean.…”

Section: Discussionmentioning

confidence: 99%

Wide-Ranging Temporal Variation in Transoceanic Movement and Population Mixing of Bluefin Tuna in the North Atlantic Ocean

Rooker

Fraile²,

Liu

et al. 2019

Front. Mar. Sci.

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Uncertainty regarding the movement and population exchange of Atlantic bluefin tuna (Thunnus thynnus) from the two primary spawning areas (Gulf of Mexico, Mediterranean Sea) is increasingly implicated as a major impediment for the conservation of this species. Here, two mixture methods were applied to natural chemical markers (δ 18 O and δ 13 C) in otoliths (ear stones) to comprehensively investigate the nature and degree of transoceanic movement and mixing of eastern and western populations in several areas of the North Atlantic Ocean that potentially represent mixing hotspots. Areas investigated occurred on both sides of the 45 • W management boundary as well as waters off the coast of Africa (Morocco, Canary Islands) where both populations are known to occur. Projections of population composition (i.e., natal or nursery origin) from a multinomial logistic regression (MLR) classification method with different probability thresholds were generally in agreement with maximum likelihood estimates from the commonly used mixed-population program HISEA; however, predicted contributions for the less abundant population were occasionally higher for MLR estimates. Both MLR and HISEA clearly showed that mixing of Atlantic bluefin tuna in the Central North Atlantic Ocean was highly variable from year to year with expatriates of eastern or western origin commonly crossing into the other management area. Pronounced transoceanic movement and mixing of western migrants was also present off the coast of Africa, with the occurrence of western migrants in the Canary Islands and Morocco ranging from zero to the majority of the individuals assayed for the years examined. Results indicate highly variable rates of movement and population exchange for Atlantic bluefin tuna, highlighting the need for temporally resolved estimates of natal origin in mixing hotspots to improve population models used to evaluate the status of this threatened species.

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“…In this growth model, only relative growth matters, so we take g 0 = 1 per year. The temperature T(z) in turn depends on depth as in (Maury, 2005;Thygesen et al, 2016):…”

Section: The Vertical Game Between Predators and Preymentioning

confidence: 99%

Oceanic diel vertical migrations arising from a predator-prey game

Thygesen

Patterson

2018

Theor Ecol

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Dynamic optimal foraging theory explains vertical migrations of Bigeye tuna

Cited by 27 publications

References 38 publications

Environmental heterogeneity decreases reproductive success via effects on foraging behaviour

Environmental heterogeneity decreases reproductive success via effects on foraging behaviour

Wide-Ranging Temporal Variation in Transoceanic Movement and Population Mixing of Bluefin Tuna in the North Atlantic Ocean

Oceanic diel vertical migrations arising from a predator-prey game

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