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Climate change impacts to foraging seascapes for a highly migratory top predator
Barbara Muhling1,2, Stephanie Snyder3, Elliott L Hazen4
1Institute of Marine Sciences Fisheries Collaborative Program, University of California, Santa Cruz, Santa Cruz, CA, USA. bmuhling@ucsc.edu.
Movement Ecology
|May 9, 2025
Summary
Climate change impacts marine species movement. This study models energetic seascapes for North Pacific albacore tuna, revealing future habitat shifts and the importance of foraging over temperature alone.
Area of Science:
- Marine Ecology
- Climate Change Biology
- Fisheries Science
Background:
- Climate change alters marine species distribution and movement globally.
- Correlative models may fail under novel environmental conditions, omitting key habitat drivers.
- Highly migratory species like albacore tuna are particularly vulnerable to climate-driven habitat shifts.
Purpose of the Study:
- Investigate spatial variability in energetic seascapes for juvenile North Pacific albacore tuna.
- Understand mechanisms of energy gain/loss and their link to ocean conditions.
- Quantify future changes in thermal and foraging habitats under climate change.
Main Methods:
- Combined laboratory measurements, field observations, and environmental predictors.
- Developed Generalized Additive Models (GAMs) for energy dynamics.
- Applied GAMs to Earth system model projections for historical and future periods.
Main Results:
- Albacore seasonally migrate between California Current and offshore North Pacific feeding grounds.
- Thermal corridors align with minimum metabolic costs; future warming may reduce subtropical habitat.
- Forage availability may offset thermal habitat loss, with coastal areas becoming more favorable.
Conclusions:
- Energetic seascapes provide mechanistic insights into projected habitat changes for migratory species.
- Moving beyond temperature is crucial for understanding climate impacts on marine species.
- Further research on migration mechanisms, physiology, and plasticity is needed for pelagic ecosystem predictions.
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