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Oostdijk M, Elsler LG, Van Deelen J, Auping WL, Kwakkel J, Schadeberg A, Vastenhoud BMJ, Nedelciu CE, Berzaghi F, Prellezo R, Wisz MS. Modeling fisheries and carbon sequestration ecosystem services under deep uncertainty in the ocean twilight zone. AMBIO 2024:10.1007/s13280-024-02044-1. [PMID: 39207669 DOI: 10.1007/s13280-024-02044-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 02/17/2024] [Accepted: 05/21/2024] [Indexed: 09/04/2024]
Abstract
Mesopelagic fishes are a vital component of the biological carbon pump and are, to date, largely unexploited. In recent years, there has been an increased interest in harvesting the mesopelagic zone to produce fish feed for aquaculture. However, great uncertainties exist in how the mesopelagic zone interacts with the climate and food webs, presenting a dilemma for policy. Here, we investigate the consequences of potential policies relating to mesopelagic harvest quotas with a dynamic social-ecological modeling approach, combining system dynamics and global sensitivity analyses informed by participatory modeling. Our analyses reveal that, in simulations of mesopelagic fishing scenarios, uncertainties about mesopelagic fish population dynamics have the most pronounced influence on potential outcomes. The analysis also shows that prioritizing the development of the fishing industry over environmental protection would lead to a significantly higher social cost of climate change to society. Given the large uncertainties and the potential large impacts on oceanic carbon sequestration, a precautionary approach to developing mesopelagic fisheries is warranted.
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Affiliation(s)
- Maartje Oostdijk
- Faculty of Agricultural Sciences, Agricultural University of Iceland, Keldnaholt, Árleynir 22, 112, Reykjavík, Iceland.
| | - Laura G Elsler
- Harvard. T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Julie Van Deelen
- Policy Analysis Section, Department of Multi-Actor Systems, Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands
| | - Willem L Auping
- Policy Analysis Section, Department of Multi-Actor Systems, Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands.
| | - Jan Kwakkel
- Policy Analysis Section, Department of Multi-Actor Systems, Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands
| | - Amanda Schadeberg
- Environmental Economics and Natural Resources Group, Wageningen University, Hollandseweg 1, 6706 KN, Wageningen, The Netherlands
- Environmental Policy Group, Wageningen University, Hollandseweg 1, 6706 KN, Wageningen, The Netherlands
| | - Berthe M J Vastenhoud
- National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet 201, 2800, Kgs. Lyngby, Denmark
| | - Claudiu Eduard Nedelciu
- Department of Geography, System Dynamics Group, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway
| | - Fabio Berzaghi
- Ocean Sustainability, Governance and Management, World Maritime University, Fiskehamnsgatan 1, 211 18, Malmö, Sweden
| | - Raul Prellezo
- AZTI. Marine Research Unit. Txatxarramendi Ugartea Z/G, 48395, Txatxarramendi, Sukarrieta, Spain
| | - Mary S Wisz
- Science Institute, University of Iceland, Saemundargata 2, 101, Reykjavik, Iceland
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Chevallay M, Goulet P, Madsen PT, Campagna J, Campagna C, Guinet C, Johnson MP. Large sensory volumes enable Southern elephant seals to exploit sparse deep-sea prey. Proc Natl Acad Sci U S A 2023; 120:e2307129120. [PMID: 37844247 PMCID: PMC10614626 DOI: 10.1073/pnas.2307129120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 09/08/2023] [Indexed: 10/18/2023] Open
Abstract
The ability of echolocating toothed whales to detect and classify prey at long ranges enables efficient searching and stalking of sparse prey in these time-limited dives. However, nonecholocating deep-diving seals such as elephant seals appear to have much less sensory advantage over their prey. Both elephant seals and their prey rely on visual and hydrodynamic cues that may be detectable only at short ranges in the deep ocean, leading us to hypothesize that elephant seals must adopt a less efficient reactive mode of hunting that requires high prey densities. To test that hypothesis, we deployed high-resolution sonar and movement tags on 25 females to record simultaneous predator and prey behavior during foraging interactions. We demonstrate that elephant seals have a sensory advantage over their prey that allows them to potentially detect prey 5 to 10 s before striking. The corresponding prey detection ranges of 7 to 17 m enable stealthy approaches and prey-specific capture tactics. In comparison, prey react at a median range of 0.7 m, close to the neck extension range of striking elephant seals. Estimated search swathes of 150 to 900 m2 explain how elephant seals can locate up to 2,000 prey while swimming more than 100 km per day. This efficient search capability allows elephant seals to subsist on prey densities that are consonant with the deep scattering layer resources estimated by hydroacoustic surveys but which are two orders of magnitude lower than the prey densities needed by a reactive hunter.
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Affiliation(s)
- Mathilde Chevallay
- Centre d’Etudes Biologiques de Chizé, Centre National de la Recherche Scientifique, Villiers-en-Bois79360, France
| | - Pauline Goulet
- Centre d’Etudes Biologiques de Chizé, Centre National de la Recherche Scientifique, Villiers-en-Bois79360, France
| | | | - Julieta Campagna
- Centro Nacional Patagónico, Centro Científico Tecnológico del Consejo Nacional de Investigaciones Científicas y Técnicas, Puerto Madryn9120, Argentina
| | | | - Christophe Guinet
- Centre d’Etudes Biologiques de Chizé, Centre National de la Recherche Scientifique, Villiers-en-Bois79360, France
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Brisson‐Curadeau É, Elliott K, Bost C. Contrasting bottom-up effects of warming ocean on two king penguin populations. GLOBAL CHANGE BIOLOGY 2023; 29:998-1008. [PMID: 36350299 PMCID: PMC10099393 DOI: 10.1111/gcb.16519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/31/2022] [Accepted: 11/06/2022] [Indexed: 06/16/2023]
Abstract
Breeding success is often correlated with climate, but the underlying bottom-up mechanisms remain elusive-particularly in marine environments. Consequently, conservation plans of many species often consider climate change as a unilateral threat, ignoring that even nearby populations can show contradicting trends with climate. Better understanding the relationship between climate and environment at different scales can help us interpret local differences in population trends, ultimately providing better tools to evaluate the global response of a species to threats such as global warming. We studied a growing king penguin population nesting at Kerguelen island (Southern Indian Ocean), hosting one of the largest colonies in the world. We used a unique dataset of foraging, breeding success, and climate data spanning over 25 years to examine the links between climate, marine environment, and breeding success at this colony. The results were then compared to the neighboring population of Crozet, which experienced the steepest decline for this species over the past few decades. At Crozet, penguins experienced lower breeding success in warmer years due to productive currents shifting away from the colony, affecting foraging behavior during chick rearing. At Kerguelen, while chick mass and survival experienced extreme variation from year to year, the annual variation was not associated with the position of the currents, which varied very little compared to the situation in Crozet. Rather than being affected by prey distribution shifts, we found evidence that chick provisioning in Kerguelen might be influenced by prey abundance, which seem to rather increase in warmer conditions. Furthermore, warmer air temperature in winter increased chick survival rate, likely due to reduced thermoregulation cost. Investigating the mechanisms between climate and fitness allowed us to predict two different fates for these populations regarding ongoing global warming.
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Affiliation(s)
- Émile Brisson‐Curadeau
- Natural Resource SciencesMcGill UniversityQuebecSainte‐Anne‐de‐BellevueCanada
- UMR 7372‐CNRSCentre d'Études Biologiques de Chizé, La Rochelle UniversityVilliers‐en‐BoisFrance
| | - Kyle Elliott
- Natural Resource SciencesMcGill UniversityQuebecSainte‐Anne‐de‐BellevueCanada
| | - Charles‐André Bost
- UMR 7372‐CNRSCentre d'Études Biologiques de Chizé, La Rochelle UniversityVilliers‐en‐BoisFrance
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Diao H, Lin S, Li D, Li S, Feng Q, Sun N. Control on moisture distribution and protein changes of Antarctic krill meat by antifreeze protein during multiple freeze–thaw cycles. J Food Sci 2022; 87:4440-4452. [DOI: 10.1111/1750-3841.16308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/19/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Huayu Diao
- National Engineering Research Center of Seafood, School of Food Science and Technology Dalian Polytechnic University Dalian P. R. China
| | - Songyi Lin
- National Engineering Research Center of Seafood, School of Food Science and Technology Dalian Polytechnic University Dalian P. R. China
- Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic University Dalian P. R. China
| | - Dongmei Li
- National Engineering Research Center of Seafood, School of Food Science and Technology Dalian Polytechnic University Dalian P. R. China
- Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic University Dalian P. R. China
| | - Shuang Li
- National Engineering Research Center of Seafood, School of Food Science and Technology Dalian Polytechnic University Dalian P. R. China
| | - Qi Feng
- National Engineering Research Center of Seafood, School of Food Science and Technology Dalian Polytechnic University Dalian P. R. China
| | - Na Sun
- National Engineering Research Center of Seafood, School of Food Science and Technology Dalian Polytechnic University Dalian P. R. China
- Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic University Dalian P. R. China
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