Projections of climate‐driven changes in tuna vertical habitat based on species‐specific differences in blood oxygen affinity
Oxygen concentrations are hypothesized to decrease in many areas of the ocean as a result of anthropogenically driven climate change, resulting in habitat compression for pelagic animals. The oxygen partial pressure, pO 2 , at which blood is 50% saturated (P 50 ) is a measure of blood oxygen affinity and a gauge of the tolerance of animals for low ambient oxygen. Tuna species display a wide range of blood oxygen affinities (i.e., P 50 values) and therefore may be differentially impacted by habitat compression as they make extensive vertical movements to forage on subdaily time scales. To project the effects of end‐of‐the‐century climate change on tuna habitat, we calculate tuna P 50 depths (i.e., the vertical position in the water column at which ambient pO 2 is equal to species‐specific blood P 50 values) from 21st century Earth System Model ( ESM ) projections included in the fifth phase of the Climate Model Intercomparison Project ( CMIP 5). Overall, we project P 50 depths to shoal, indicating likely habitat compression for tuna species due to climate change. Tunas that will be most impacted by shoaling are Pacific and southern bluefin tunas—habitat compression is projected for the entire geographic range of Pacific bluefin tuna and for the spawning region of southern bluefin tuna. Vertical shifts in P 50 depths will potentially influence resource partitioning among Pacific bluefin, bigeye, yellowfin, and skipjack tunas in the northern subtropical and eastern tropical Pacific Ocean, the Arabian Sea, and the Bay of Bengal. By establishing linkages between tuna physiology and environmental conditions, we provide a mechanistic basis to project the effects of anthropogenic climate change on tuna habitats. Hypoxia tolerance thresholds for tuna species are projected to be shallower, compressing vertical habitat, in the future. The greatest compression is projected to be in the North Pacific where there are many sympatric tuna species. Compression is also projected for the spawning area of southern bluefin tuna off the coast of Western Australia..
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
Global change biology - 23(2017), 10, Seite 4019-4028 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Mislan, K. A. S [VerfasserIn] |
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| Links: |
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| doi: |
10.1111/gcb.13799 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
OLC1998357791 |
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| 245 | 1 | 0 | |a Projections of climate‐driven changes in tuna vertical habitat based on species‐specific differences in blood oxygen affinity |
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| 520 | |a Oxygen concentrations are hypothesized to decrease in many areas of the ocean as a result of anthropogenically driven climate change, resulting in habitat compression for pelagic animals. The oxygen partial pressure, pO 2 , at which blood is 50% saturated (P 50 ) is a measure of blood oxygen affinity and a gauge of the tolerance of animals for low ambient oxygen. Tuna species display a wide range of blood oxygen affinities (i.e., P 50 values) and therefore may be differentially impacted by habitat compression as they make extensive vertical movements to forage on subdaily time scales. To project the effects of end‐of‐the‐century climate change on tuna habitat, we calculate tuna P 50 depths (i.e., the vertical position in the water column at which ambient pO 2 is equal to species‐specific blood P 50 values) from 21st century Earth System Model ( ESM ) projections included in the fifth phase of the Climate Model Intercomparison Project ( CMIP 5). Overall, we project P 50 depths to shoal, indicating likely habitat compression for tuna species due to climate change. Tunas that will be most impacted by shoaling are Pacific and southern bluefin tunas—habitat compression is projected for the entire geographic range of Pacific bluefin tuna and for the spawning region of southern bluefin tuna. Vertical shifts in P 50 depths will potentially influence resource partitioning among Pacific bluefin, bigeye, yellowfin, and skipjack tunas in the northern subtropical and eastern tropical Pacific Ocean, the Arabian Sea, and the Bay of Bengal. By establishing linkages between tuna physiology and environmental conditions, we provide a mechanistic basis to project the effects of anthropogenic climate change on tuna habitats. Hypoxia tolerance thresholds for tuna species are projected to be shallower, compressing vertical habitat, in the future. The greatest compression is projected to be in the North Pacific where there are many sympatric tuna species. Compression is also projected for the spawning area of southern bluefin tuna off the coast of Western Australia. | ||
| 540 | |a Nutzungsrecht: © Published 2017. This article is a U.S. Government work and is in the public domain in the USA. | ||
| 650 | 4 | |a Thunnus | |
| 650 | 4 | |a yellowfin | |
| 650 | 4 | |a bluefin | |
| 650 | 4 | |a deoxygenation | |
| 650 | 4 | |a bigeye | |
| 650 | 4 | |a CMIP | |
| 650 | 4 | |a skipjack | |
| 650 | 4 | |a hypoxia | |
| 650 | 4 | |a Animals | |
| 650 | 4 | |a Tolerance | |
| 650 | 4 | |a Tunas | |
| 650 | 4 | |a Partial pressure | |
| 650 | 4 | |a Foraging habitats | |
| 650 | 4 | |a Climate change | |
| 650 | 4 | |a Climatic changes | |
| 650 | 4 | |a Anthropogenic factors | |
| 650 | 4 | |a Affinity | |
| 650 | 4 | |a Blood pressure | |
| 650 | 4 | |a Water column | |
| 650 | 4 | |a Vertical orientation | |
| 650 | 4 | |a Habitats | |
| 650 | 4 | |a Species | |
| 650 | 4 | |a Tuna | |
| 650 | 4 | |a Climate models | |
| 650 | 4 | |a Earth | |
| 650 | 4 | |a Climate | |
| 650 | 4 | |a Spawning | |
| 650 | 4 | |a Linkages | |
| 650 | 4 | |a Habitat | |
| 650 | 4 | |a Compression | |
| 650 | 4 | |a Climate effects | |
| 650 | 4 | |a Blood | |
| 650 | 4 | |a Oxygen | |
| 650 | 4 | |a Intercomparison | |
| 650 | 4 | |a Shoals | |
| 650 | 4 | |a Human influences | |
| 650 | 4 | |a Tropical environment | |
| 650 | 4 | |a Shoaling | |
| 650 | 4 | |a Fish | |
| 650 | 4 | |a Environmental conditions | |
| 650 | 4 | |a Resource partitioning | |
| 700 | 1 | |a Deutsch, Curtis A |4 oth | |
| 700 | 1 | |a Brill, Richard W |4 oth | |
| 700 | 1 | |a Dunne, John P |4 oth | |
| 700 | 1 | |a Sarmiento, Jorge L |4 oth | |
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| 856 | 4 | 1 | |u http://dx.doi.org/10.1111/gcb.13799 |3 Volltext |
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