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MEPS 695:189-201 (2022)  -  DOI: https://doi.org/10.3354/meps14115

Trade-offs in prey quantity and quality in gray whale foraging

Lisa Hildebrand1,*, Florence A. Sullivan1,2, Rachael A. Orben3, Solène Derville1,4, Leigh G. Torres1

1Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, and Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Newport, OR 97365, USA
2Pacific Whale Foundation, Wailuku, Maui, HI 96793, USA
3Marine Mammal Institute, Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Hatfield Marine Science Center, Newport, OR 97365, USA
4UMR ENTROPIE (IRD-Université de La Réunion-CNRS-Laboratoire d’excellence LabEx-CORAIL), Nouméa, New Caledonia
*Corresponding author:

ABSTRACT: To forage optimally, predators face complex decisions regarding target prey distribution, quantity, and quality. We paired theodolite tracking of gray whales Eschrichtius robustus in Port Orford, Oregon, USA, with concurrent sampling of their zooplankton prey to examine foraging decisions relative to prey quantity (abundance) and quality (caloric content). We tested the hypotheses that whales (1) feed more than search or transit in areas with high quantity and quality prey and (2) select foraging habitat dominated by the calorically rich mysid Neomysis rayii. Relative prey abundance was assessed through standardized image analysis of camera drops, and zooplankton prey community was determined from net tows. These data were spatially interpolated and modeled to generate daily layers of species-specific prey abundance and calories (20 m grid) for comparison to whale behavior derived from tracking data. Whales fed significantly more in areas with higher prey abundance and calories than where they searched and transited. Whales increased foraging effort as overall prey availability increased, yet foraging probability was significantly correlated with the quantity and quality of the mysid Holmesimysis sculpta, which has significantly lower calories than N. rayii. However, during the study period, the maximum abundance of N. rayii was 4 times lower than that of H. sculpta and never reached the quantity threshold determined by a logistic regression needed to support whale foraging behavior. Hence, gray whale prey selection involves trade-offs between prey quantity and quality to maximize energetic gain, and prey quality should be considered alongside abundance in ecological studies investigating predator decision-making.


KEY WORDS: Energetic trade-off · Optimal foraging · Prey quality · Foraging ecology · Gray whale · Eschrichtius robustus · Marine mammal · Zooplankton · Theodolite tracking


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Cite this article as: Hildebrand L, Sullivan FA, Orben RA, Derville S, Torres LG (2022) Trade-offs in prey quantity and quality in gray whale foraging. Mar Ecol Prog Ser 695:189-201. https://doi.org/10.3354/meps14115

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