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Costa EFS, Menezes GM, Colaço A. Trait-based insights into sustainable fisheries: A four-decade perspective in Azores archipelago. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 935:173271. [PMID: 38754519 DOI: 10.1016/j.scitotenv.2024.173271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
The trait-based approach provides a powerful perspective for analyzing fisheries and their potential impact on marine ecological processes, offering crucial insights into sustainability and ecosystem functioning. This approach was applied to investigate trends in fish assemblages landed by both local and coastal fishing fleets in the Azores archipelago over the past four decades (1980s, 1990s, 2000s, and 2010s). A matrix of ten traits was built to assess functional redundancy (Fred), functional over-redundancy (FOve), and functional vulnerability (FVul) for the fish assemblages caught by every fishing fleet in each decade. The susceptibility of the Azorean fishery to negative impacts on ecosystem functioning was evidenced by low FRed (<1.5 species per functional entity) and high FVul (exceeding 70 %). However, there is reason for optimism, as temporal trends in the 2000s and 2010s showed an increase in FRed and FOve along with a significant decrease in FVul. These trends indicate the adaptation of the fishery to new target species and, notably, the effectiveness of local fish regulations in mitigating the impacts of targeting functionally important species, such as Elasmobranchii, over the past two decades. These regulations have played a pivotal role in preserving ecological functions within the ecosystem, as well as in managing the removal of high biomass of key important species (e.g., Trachurus picturatus, Pagellus bogaraveo, and Katsuwonus pelamis) from the ecosystem. This study contributes to understanding the delicate balance between fishing pressure, ecological resilience, and sustainable resource management in Azorean waters. It also highlights the importance of continued monitoring, adaptive management, and the enforcement of local fishing regulations to ensure the long-term health and sustainability of the fishery and the broader marine ecosystem.
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Affiliation(s)
- Eudriano F S Costa
- OKEANOS - Institute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862 Horta, Portugal; IMAR - Instituto do Mar, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862 Horta, Portugal.
| | - Gui M Menezes
- OKEANOS - Institute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862 Horta, Portugal
| | - Ana Colaço
- OKEANOS - Institute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862 Horta, Portugal; IMAR - Instituto do Mar, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862 Horta, Portugal
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2
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Camenzind T, Aguilar-Trigueros CA, Hempel S, Lehmann A, Bielcik M, Andrade-Linares DR, Bergmann J, Dela Cruz J, Gawronski J, Golubeva P, Haslwimmer H, Lartey L, Leifheit E, Maaß S, Marhan S, Pinek L, Powell JR, Roy J, Veresoglou SD, Wang D, Wulf A, Zheng W, Rillig MC. Towards establishing a fungal economics spectrum in soil saprobic fungi. Nat Commun 2024; 15:3321. [PMID: 38637578 PMCID: PMC11026409 DOI: 10.1038/s41467-024-47705-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024] Open
Abstract
Trait-based frameworks are promising tools to understand the functional consequences of community shifts in response to environmental change. The applicability of these tools to soil microbes is limited by a lack of functional trait data and a focus on categorical traits. To address this gap for an important group of soil microorganisms, we identify trade-offs underlying a fungal economics spectrum based on a large trait collection in 28 saprobic fungal isolates, derived from a common grassland soil and grown in culture plates. In this dataset, ecologically relevant trait variation is best captured by a three-dimensional fungal economics space. The primary explanatory axis represents a dense-fast continuum, resembling dominant life-history trade-offs in other taxa. A second significant axis reflects mycelial flexibility, and a third one carbon acquisition traits. All three axes correlate with traits involved in soil carbon cycling. Since stress tolerance and fundamental niche gradients are primarily related to the dense-fast continuum, traits of the 2nd (carbon-use efficiency) and especially the 3rd (decomposition) orthogonal axes are independent of tested environmental stressors. These findings suggest a fungal economics space which can now be tested at broader scales.
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Affiliation(s)
- Tessa Camenzind
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany.
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
| | - Carlos A Aguilar-Trigueros
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland
| | - Stefan Hempel
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Anika Lehmann
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Milos Bielcik
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Diana R Andrade-Linares
- Research Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
| | - Joana Bergmann
- Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
| | - Jeane Dela Cruz
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Jessie Gawronski
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Polina Golubeva
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Heike Haslwimmer
- Institute of Soil Science and Land Evaluation, Soil Biology department, University of Hohenheim, Emil-Wolff-Str. 27, 70599, Stuttgart, Germany
| | - Linda Lartey
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Eva Leifheit
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Stefanie Maaß
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Sven Marhan
- Institute of Soil Science and Land Evaluation, Soil Biology department, University of Hohenheim, Emil-Wolff-Str. 27, 70599, Stuttgart, Germany
| | - Liliana Pinek
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Jeff R Powell
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Julien Roy
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Stavros D Veresoglou
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, 518107, China
| | - Dongwei Wang
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Anja Wulf
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Weishuang Zheng
- Marine Institute for Bioresources and Environment, Peking University Shenzhen Institute, Shenzhen, 518057, China
| | - Matthias C Rillig
- Institute of Biology, Freie Universität Berlin, Altensteinstr. 6, 14195, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
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3
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Maureaud AA, Palacios-Abrantes J, Kitchel Z, Mannocci L, Pinsky ML, Fredston A, Beukhof E, Forrest DL, Frelat R, Palomares MLD, Pecuchet L, Thorson JT, van Denderen PD, Mérigot B. FISHGLOB_data: an integrated dataset of fish biodiversity sampled with scientific bottom-trawl surveys. Sci Data 2024; 11:24. [PMID: 38177193 PMCID: PMC10766603 DOI: 10.1038/s41597-023-02866-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 12/18/2023] [Indexed: 01/06/2024] Open
Abstract
Scientific bottom-trawl surveys are ecological observation programs conducted along continental shelves and slopes of seas and oceans that sample marine communities associated with the seafloor. These surveys report taxa occurrence, abundance and/or weight in space and time, and contribute to fisheries management as well as population and biodiversity research. Bottom-trawl surveys are conducted all over the world and represent a unique opportunity to understand ocean biogeography, macroecology, and global change. However, combining these data together for cross-ecosystem analyses remains challenging. Here, we present an integrated dataset of 29 publicly available bottom-trawl surveys conducted in national waters of 18 countries that are standardized and pre-processed, covering a total of 2,170 sampled fish taxa and 216,548 hauls collected from 1963 to 2021. We describe the processing steps to create the dataset, flags, and standardization methods that we developed to assist users in conducting spatio-temporal analyses with stable regional survey footprints. The aim of this dataset is to support research, marine conservation, and management in the context of global change.
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Affiliation(s)
- Aurore A Maureaud
- Center for Biodiversity & Global Change, Yale University, New Haven, CT, USA.
- Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA.
| | - Juliano Palacios-Abrantes
- Changing Ocean Research Unit, Institute for the Oceans & Fisheries, The University of British Columbia, Vancouver, BC, Canada
| | - Zoë Kitchel
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
| | - Laura Mannocci
- FRB-CESAB, Montpellier, France
- MARBEC, Univ Montpellier, CNRS, IRD, IFREMER, Sète, France
| | - Malin L Pinsky
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Department of Ecology & Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Alexa Fredston
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Department of Ocean Sciences, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Esther Beukhof
- National Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Daniel L Forrest
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Institute for Resources, Environment and Sustainability, The University of British Columbia, Vancouver, BC, Canada
| | - Romain Frelat
- International Livestock Research Institute, Nairobi, Kenya
| | - Maria L D Palomares
- Sea Around Us, Institute for the Oceans and Fisheries, The University of British Columbia, Vancouver, BC, Canada
| | | | - James T Thorson
- Alaska Fisheries Science Center, National Marine Fisheries Service (NOAA), Seattle, WA, USA
| | - P Daniël van Denderen
- National Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark
- Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, 02882, USA
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4
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Fredston AL, Cheung WWL, Frölicher TL, Kitchel ZJ, Maureaud AA, Thorson JT, Auber A, Mérigot B, Palacios-Abrantes J, Palomares MLD, Pecuchet L, Shackell NL, Pinsky ML. Marine heatwaves are not a dominant driver of change in demersal fishes. Nature 2023; 621:324-329. [PMID: 37648851 DOI: 10.1038/s41586-023-06449-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 07/18/2023] [Indexed: 09/01/2023]
Abstract
Marine heatwaves have been linked to negative ecological effects in recent decades1,2. If marine heatwaves regularly induce community reorganization and biomass collapses in fishes, the consequences could be catastrophic for ecosystems, fisheries and human communities3,4. However, the extent to which marine heatwaves have negative impacts on fish biomass or community composition, or even whether their effects can be distinguished from natural and sampling variability, remains unclear. We investigated the effects of 248 sea-bottom heatwaves from 1993 to 2019 on marine fishes by analysing 82,322 hauls (samples) from long-term scientific surveys of continental shelf ecosystems in North America and Europe spanning the subtropics to the Arctic. Here we show that the effects of marine heatwaves on fish biomass were often minimal and could not be distinguished from natural and sampling variability. Furthermore, marine heatwaves were not consistently associated with tropicalization (gain of warm-affiliated species) or deborealization (loss of cold-affiliated species) in these ecosystems. Although steep declines in biomass occasionally occurred after marine heatwaves, these were the exception, not the rule. Against the highly variable backdrop of ocean ecosystems, marine heatwaves have not driven biomass change or community turnover in fish communities that support many of the world's largest and most productive fisheries.
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Affiliation(s)
- Alexa L Fredston
- Department of Ocean Sciences, University of California, Santa Cruz, Santa Cruz, CA, USA.
| | - William W L Cheung
- Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Thomas L Frölicher
- Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Zoë J Kitchel
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ, USA
| | - Aurore A Maureaud
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - James T Thorson
- Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, USA
| | - Arnaud Auber
- Institut Français de Recherche pour l'Exploitation de la MER (Ifremer), Unité Halieutique Manche Mer du Nord, Laboratoire Ressources Halieutiques, Boulogne-sur-Mer, France
| | | | - Juliano Palacios-Abrantes
- Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, British Columbia, Canada
| | - Maria Lourdes D Palomares
- Sea Around Us, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Nancy L Shackell
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Malin L Pinsky
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, USA
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5
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Siqueira AC, Yan HF, Morais RA, Bellwood DR. The evolution of fast-growing coral reef fishes. Nature 2023:10.1038/s41586-023-06070-z. [PMID: 37198484 DOI: 10.1038/s41586-023-06070-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 04/11/2023] [Indexed: 05/19/2023]
Abstract
Individual growth is a fundamental life history trait1-4, yet its macroevolutionary trajectories have rarely been investigated for entire animal assemblages. Here we analyse the evolution of growth in a highly diverse vertebrate assemblage-coral reef fishes. We combine state-of-the-art extreme gradient boosted regression trees with phylogenetic comparative methods to detect the timing, number, location and magnitude of shifts in the adaptive regime of somatic growth. We also explored the evolution of the allometric relationship between body size and growth. Our results show that the evolution of fast growth trajectories in reef fishes has been considerably more common than the evolution of slow growth trajectories. Many reef fish lineages shifted towards faster growth and smaller body size evolutionary optima in the Eocene (56-33.9 million years ago), pointing to a major expansion of life history strategies in this Epoch. Of all lineages examined, the small-bodied, high-turnover cryptobenthic fishes shifted most towards extremely high growth optima, even after accounting for body size allometry. These results suggest that the high global temperatures of the Eocene5 and subsequent habitat reconfigurations6 might have been critical for the rise and retention of the highly productive, high-turnover fish faunas that characterize modern coral reef ecosystems.
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Affiliation(s)
- Alexandre C Siqueira
- Research Hub for Coral Reef Ecosystem Functions, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia.
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia.
| | - Helen F Yan
- Research Hub for Coral Reef Ecosystem Functions, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia
| | - Renato A Morais
- Research Hub for Coral Reef Ecosystem Functions, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia
- Paris Sciences et Lettres Université, École Pratique des Hautes Études, EPHE-UPVD-CNRS, USR 3278 CRIOBE, Perpignan, France
| | - David R Bellwood
- Research Hub for Coral Reef Ecosystem Functions, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia
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6
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Hodge JR, Price SA. Biotic Interactions and the Future of Fishes on Coral Reefs: The Importance of Trait-Based Approaches. Integr Comp Biol 2022; 62:1734-1747. [PMID: 36138511 DOI: 10.1093/icb/icac147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/24/2022] [Accepted: 09/06/2022] [Indexed: 01/05/2023] Open
Abstract
Biotic interactions govern the structure and function of coral reef ecosystems. As environmental conditions change, reef-associated fish populations can persist by tracking their preferred niche or adapting to new conditions. Biotic interactions will affect how these responses proceed and whether they are successful. Yet, our understanding of these effects is currently limited. Ecological and evolutionary theories make explicit predictions about the effects of biotic interactions, but many remain untested. Here, we argue that large-scale functional trait datasets enable us to investigate how biotic interactions have shaped the assembly of contemporary reef fish communities and the evolution of species within them, thus improving our ability to predict future changes. Importantly, the effects of biotic interactions on these processes have occurred simultaneously within dynamic environments. Functional traits provide a means to integrate the effects of both ecological and evolutionary processes, as well as a way to overcome some of the challenges of studying biotic interactions. Moreover, functional trait data can enhance predictive modeling of future reef fish distributions and evolvability. We hope that our vision for an integrative approach, focused on quantifying functionally relevant traits and how they mediate biotic interactions in different environmental contexts, will catalyze new research on the future of reef fishes in a changing environment.
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Affiliation(s)
- Jennifer R Hodge
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Samantha A Price
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
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7
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Mull CG, Pacoureau N, Pardo SA, Ruiz LS, García-Rodríguez E, Finucci B, Haack M, Harry A, Judah AB, VanderWright W, Yin JS, Kindsvater HK, Dulvy NK. Sharkipedia: a curated open access database of shark and ray life history traits and abundance time-series. Sci Data 2022; 9:559. [PMID: 36088355 PMCID: PMC9464254 DOI: 10.1038/s41597-022-01655-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/19/2022] [Indexed: 11/08/2022] Open
Abstract
A curated database of shark and ray biological data is increasingly necessary both to support fisheries management and conservation efforts, and to test the generality of hypotheses of vertebrate macroecology and macroevolution. Sharks and rays are one of the most charismatic, evolutionary distinct, and threatened lineages of vertebrates, comprising around 1,250 species. To accelerate shark and ray conservation and science, we developed Sharkipedia as a curated open-source database and research initiative to make all published biological traits and population trends accessible to everyone. Sharkipedia hosts information on 58 life history traits from 274 sources, for 170 species, from 39 families, and 12 orders related to length (n = 9 traits), age (8), growth (12), reproduction (19), demography (5), and allometric relationships (5), as well as 871 population time-series from 202 species. Sharkipedia relies on the backbone taxonomy of the IUCN Red List and the bibliography of Shark-References. Sharkipedia has profound potential to support the rapidly growing data demands of fisheries management, international trade regulation as well as anchoring vertebrate macroecology and macroevolution.
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Affiliation(s)
- Christopher G Mull
- Integrated Fisheries Laboratory, Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada.
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
| | - Nathan Pacoureau
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061, USA.
| | | | - Luz Saldaña Ruiz
- Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California, 22860, Mexico
| | - Emiliano García-Rodríguez
- Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California, 22860, Mexico
| | - Brittany Finucci
- National Institute of Water and Atmospheric Research (NIWA), Wellington, 6011, New Zealand
| | - Max Haack
- 14-04 Singapore Business Federation Centre, 068914, Singapore, Singapore
| | - Alastair Harry
- Fisheries & Agriculture Resource Management, Western Australian Government Department of Primary Industries and Regional Development, Hillarys, 6025, Australia
- Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Murdoch, 6150, Australia
| | - Aaron B Judah
- Integrated Fisheries Laboratory, Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Wade VanderWright
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Jamie S Yin
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Holly K Kindsvater
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061, USA.
| | - Nicholas K Dulvy
- Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
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8
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Lindegren M, Gabellini AP, Munk P, Edelvang K, Hansen FT. Identifying key processes and drivers affecting the presence of non-indigenous marine species in coastal waters. Biol Invasions 2022. [DOI: 10.1007/s10530-022-02802-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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9
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Mérillet L, Robert M, Hernvann PY, Pecuchet L, Pavoine S, Mouchet M, Primicerio R, Kopp D. Effects of life-history traits and network topological characteristics on the robustness of marine food webs. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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10
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Interannual temperature variability is a principal driver of low-frequency fluctuations in marine fish populations. Commun Biol 2022; 5:28. [PMID: 35017642 PMCID: PMC8752724 DOI: 10.1038/s42003-021-02960-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 12/08/2021] [Indexed: 12/21/2022] Open
Abstract
Marine fish populations commonly exhibit low-frequency fluctuations in biomass that can cause catch volatility and thus endanger the food and economic security of dependent coastal societies. Such variability has been linked to fishing intensity, demographic processes and environmental variability, but our understanding of the underlying drivers remains poor for most fish stocks. Our study departs from previous findings showing that sea surface temperature (SST) is a significant driver of fish somatic growth variability and that life-history characteristics mediate population-level responses to environmental variability. We use autoregressive models to simulate how fish populations integrate SST variability over multiple years depending on fish life span and trophic position. We find that simulated SST-driven population dynamics can explain a significant portion of observed low-frequency variability in independent observations of fisheries landings around the globe. Predictive skill, however, decreases with increasing fishing pressure, likely due to demographic truncation. Using our modelling approach, we also show that increases in the mean and variance of SST could amplify biomass volatility and lessen its predictability in the future. Overall, biological integration of high-frequency SST variability represents a null hypothesis with which to explore the drivers of low-frequency population change across upper-trophic marine species. van der Sleen et al. introduce the use of an autoregressive null model to explain low-frequency variability in populations of marine fishes. Using time series of fisheries landings from a global database, their model shows that interannual sea surface temperature variation is integrated through each trophic level of the food web and can underlie observed low-frequency population dynamics.
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11
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McLean M, Mouillot D, Maureaud AA, Hattab T, MacNeil MA, Goberville E, Lindegren M, Engelhard G, Pinsky M, Auber A. Disentangling tropicalization and deborealization in marine ecosystems under climate change. Curr Biol 2021; 31:4817-4823.e5. [PMID: 34499852 DOI: 10.1016/j.cub.2021.08.034] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/05/2021] [Accepted: 08/11/2021] [Indexed: 11/16/2022]
Abstract
As climate change accelerates, species are shifting poleward and subtropical and tropical species are colonizing temperate environments.1-3 A popular approach for characterizing such responses is the community temperature index (CTI), which tracks the mean thermal affinity of a community. Studies in marine,4 freshwater,5 and terrestrial6 ecosystems have documented increasing CTI under global warming. However, most studies have only linked increasing CTI to increases in warm-affinity species. Here, using long-term monitoring of marine fishes across the Northern Hemisphere, we decomposed CTI changes into four underlying processes-tropicalization (increasing warm-affinity), deborealization (decreasing cold-affinity), borealization (increasing cold-affinity), and detropicalization (decreasing warm-affinity)-for which we examined spatial variability and drivers. CTI closely tracked changes in sea surface temperature, increasing in 72% of locations. However, 31% of these increases were primarily due to decreases in cold-affinity species, i.e., deborealization. Thus, increases in warm-affinity species were prevalent, but not ubiquitous. Tropicalization was stronger in areas that were initially warmer, experienced greater warming, or were deeper, while deborealization was stronger in areas that were closer to human population centers or that had higher community thermal diversity. When CTI (and temperature) increased, species that decreased were more likely to be living closer to their upper thermal limits or to be commercially fished. Additionally, warm-affinity species that increased had smaller body sizes than those that decreased. Our results show that CTI changes arise from a variety of underlying community responses that are linked to environmental conditions, human impacts, community structure, and species characteristics.
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Affiliation(s)
- Matthew McLean
- Department of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada.
| | - David Mouillot
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, 34095 Montpellier Cedex, France
| | - Aurore A Maureaud
- Center for Biodiversity and Global Change, Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06520, USA; Centre for Ocean Life, c/o National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet Bygning 202, 2800 Kgs. Lyngby, Denmark
| | - Tarek Hattab
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Avenue Jean Monnet, 34200 Sète, France
| | - M Aaron MacNeil
- Department of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada; Ocean Frontier Institute, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Eric Goberville
- Unité Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Muséum National d'Histoire Naturelle, Sorbonne Université, Université de Caen Normandie, Université des Antilles, CNRS, IRD, 75231 Paris Cedex 05, France
| | - Martin Lindegren
- Centre for Ocean Life, c/o National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet Bygning 202, 2800 Kgs. Lyngby, Denmark
| | - Georg Engelhard
- Centre for Environment, Fisheries & Aquaculture Science (Cefas), Pakeðeld Road, Lowestoft NR33 0HT, UK; Collaborative Centre for Sustainable Use of the Seas (CCSUS), University of East Anglia, Norwich NR4 7TJ, UK
| | - Malin Pinsky
- Department of Ecology, Evolution, and Natural Resources, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Arnaud Auber
- IFREMER, Laboratoire Ressources Halieutiques, 150 quai Gambetta, BP699, 62321 Boulogne-sur-Mer, France
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12
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Climate risk to European fisheries and coastal communities. Proc Natl Acad Sci U S A 2021; 118:2018086118. [PMID: 34583987 DOI: 10.1073/pnas.2018086118] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2021] [Indexed: 11/18/2022] Open
Abstract
With the majority of the global human population living in coastal regions, correctly characterizing the climate risk that ocean-dependent communities and businesses are exposed to is key to prioritizing the finite resources available to support adaptation. We apply a climate risk analysis across the European fisheries sector to identify the most at-risk fishing fleets and coastal regions and then link the two analyses together. We employ an approach combining biological traits with physiological metrics to differentiate climate hazards between 556 populations of fish and use these to assess the relative climate risk for 380 fishing fleets and 105 coastal regions in Europe. Countries in southeast Europe as well as the United Kingdom have the highest risks to both fishing fleets and coastal regions overall, while in other countries, the risk-profile is greater at either the fleet level or at the regional level. European fisheries face a diversity of challenges posed by climate change; climate adaptation, therefore, needs to be tailored to each country, region, and fleet's specific situation. Our analysis supports this process by highlighting where and what adaptation measures might be needed and informing where policy and business responses could have the greatest impact.
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13
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Mérillet L, Pavoine S, Kopp D, Robert M, Mouchet M. Biomass of slow life history species increases as local bottom trawl effort decreases in the Celtic sea. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 290:112634. [PMID: 33895454 DOI: 10.1016/j.jenvman.2021.112634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 03/22/2021] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
Due to its selective removal, fishing pressure has long influenced the dynamics of species based on their life history traits. Sensitivity to fishing increases along a "fast-to-slow" gradient of life history strategies, and the "slow" species (large, long-lived, late-maturing, giving birth to few large offspring) require the most time to recover from fishing. In the North East Atlantic, after having reached extreme levels, fishing pressure has decreased since the 1980's due to management measures such as total allowable catch (TAC) or area closure. An effect on the distribution of species as well as a potential recovery could be expected. However, temporal patterns of life history strategies are rarely linked to management measures. In addition, a larger emphasis is often put on exploited or emblematic sensitive species but rarely on assembly processes at the ecosystem scale (both commercial and non-commercial species). Based on a 17-year time series of 101 taxa (fishes, elasmobranchs, bivalves, cephalopods and crustaceans), we observed a negative relationship between the biomass of taxa sensitive to fishing and bottom trawling pressure, as well as an increase in their total biomass in the Celtic Sea. Over the whole area, stochasticity appeared as the dominant assembly process. Deterministic assembly processes were at play in the centre of the area where significant overdispersion (caused by the presence of both slow and fast taxa) were observed. The absence of sensitive taxa from the rest of the Celtic Sea appeared to be caused mainly by a historical effect of environmental filtering when fishing was high. At the local scale, we related the decrease in fishing pressure to the increase in biomass of five of the most sensitive taxa. This local decrease in fishing pressure, resulting from the implementation of an area closure, highlights the positive effect of such management measures in less than two decades.
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Affiliation(s)
- Laurène Mérillet
- UMR 7204 MNHN-UPMC-CNRS Centre d'Ecologie et de Sciences de la COnservation, 43 Rue Buffon, CP135, 75005, Paris, France; Ifremer, Unité de Sciences et Technologies Halieutiques, Laboratoire de Technologie et Biologie Halieutique, 8 Rue François Toullec, 56100, Lorient, France; Institute of Marine Research (Havforskningsinstituttet), Ecosystem Processes Team, Nordnesgaten 33, 5005, Bergen, Norway.
| | - Sandrine Pavoine
- UMR 7204 MNHN-UPMC-CNRS Centre d'Ecologie et de Sciences de la COnservation, 43 Rue Buffon, CP135, 75005, Paris, France
| | - Dorothée Kopp
- Ifremer, Unité de Sciences et Technologies Halieutiques, Laboratoire de Technologie et Biologie Halieutique, 8 Rue François Toullec, 56100, Lorient, France
| | - Marianne Robert
- Ifremer, Unité de Sciences et Technologies Halieutiques, Laboratoire de Technologie et Biologie Halieutique, 8 Rue François Toullec, 56100, Lorient, France
| | - Maud Mouchet
- UMR 7204 MNHN-UPMC-CNRS Centre d'Ecologie et de Sciences de la COnservation, 43 Rue Buffon, CP135, 75005, Paris, France
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14
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du Pontavice H, Gascuel D, Reygondeau G, Stock C, Cheung WWL. Climate-induced decrease in biomass flow in marine food webs may severely affect predators and ecosystem production. GLOBAL CHANGE BIOLOGY 2021; 27:2608-2622. [PMID: 33660891 DOI: 10.1111/gcb.15576] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/17/2021] [Accepted: 02/20/2021] [Indexed: 05/28/2023]
Abstract
Climate change impacts on marine life in the world ocean are expected to accelerate over the 21st century, affecting the structure and functioning of food webs. We analyzed a key aspect of this issue, focusing on the impact of changes in biomass flow within marine food webs and the resulting effects on ecosystem biomass and production. We used a modeling framework based on a parsimonious quasi-physical representation of biomass flow through the food web, to explore the future of marine consumer biomass and production at the global scale over the 21st century. Biomass flow is determined by three climate-related factors: primary production entering the food web, trophic transfer efficiency describing losses in biomass transfers from one trophic level (TL) to the next, and flow kinetic measuring the speed of biomass transfers within the food web. Using climate projections of three earth system models, we calculated biomass and production at each TL on a 1° latitude ×1° longitude grid of the global ocean under two greenhouse gas emission scenarios. We show that the alterations of the trophic functioning of marine ecosystems, mainly driven by faster and less efficient biomass transfers and decreasing primary production, would lead to a projected decline in total consumer biomass by 18.5% by 2090-2099 relative to 1986-2005 under the "no mitigation policy" scenario. The projected decrease in transfer efficiency is expected to amplify impacts at higher TLs, leading to a 21.3% decrease in abundance of predators and thus to a change in the overall trophic structure of marine ecosystems. Marine animal production is also projected to decline but to a lesser extent than biomass. Our study highlights that the temporal and spatial projected changes in biomass and production would imply direct repercussions on the future of world fisheries and beyond all services provided by Ocean.
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Affiliation(s)
- Hubert du Pontavice
- ESE, Ecology and Ecosystem Health, Institut Agro, Inrae, Rennes, France
- Nippon Foundation-Nereus Program, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
- Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, USA
| | - Didier Gascuel
- ESE, Ecology and Ecosystem Health, Institut Agro, Inrae, Rennes, France
| | - Gabriel Reygondeau
- Changing Ocean Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
| | - Charles Stock
- Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ, USA
| | - William W L Cheung
- Nippon Foundation-Nereus Program, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
- Changing Ocean Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
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15
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Pickens BA, Carroll R, Schirripa MJ, Forrestal F, Friedland KD, Taylor JC. A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps. PLoS One 2021; 16:e0251818. [PMID: 33989361 PMCID: PMC8121303 DOI: 10.1371/journal.pone.0251818] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 05/03/2021] [Indexed: 11/19/2022] Open
Abstract
As species distribution models, and similar techniques, have emerged in marine ecology, a vast array of predictor variables have been created and diverse methodologies have been applied. Marine fish are vital food resources worldwide, yet identifying the most suitable methodology and predictors to characterize spatial habitat associations, and the subsequent distributions, often remains ambiguous. Our objectives were to identify knowledge gaps in fish guilds, identify research themes, and to determine how data sources, statistics, and predictor variables differ among fish guilds. Data were obtained from an international literature search of peer-reviewed articles (2007-2018; n = 225) and research themes were determined based on abstracts. We tested for differences in data sources and modeling techniques using multinomial regressions and used a linear discriminant analysis to distinguish differences in predictors among fish guilds. Our results show predictive studies increased over time, but studies of forage fish, sharks, coral reef fish, and other fish guilds remain sparse. Research themes emphasized habitat suitability and distribution shifts, but also addressed abundance, occurrence, stock assessment, and biomass. Methodologies differed by fish guilds based on data limitations and research theme. The most frequent predictors overall were depth and temperature, but most fish guilds were distinguished by their own set of predictors that focused on their specific life history and ecology. A one-size-fits-all approach is not suitable for predicting marine fish distributions. However, given the paucity of studies for some fish guilds, researchers would benefit from utilizing predictors and methods derived from more commonly studied fish when similar habitat requirements are expected. Overall, the findings provide a guide for determining predictor variables to test and identifies novel opportunities to apply non-spatial knowledge and mechanisms to models.
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Affiliation(s)
- Bradley A. Pickens
- CSS-Inc., Fairfax, Virginia, United States of America
- NOAA National Centers for Coastal Ocean Science, Beaufort, North Carolina, United States of America
- * E-mail:
| | - Rachel Carroll
- Department of Mathematics and Statistics, University of North Carolina Wilmington, Wilmington, North Carolina, United States of America
| | - Michael J. Schirripa
- Sustainable Fisheries Division, NOAA Fisheries SEFSC, Miami, Florida, United States of America
| | - Francesca Forrestal
- Sustainable Fisheries Division, NOAA Fisheries SEFSC, Miami, Florida, United States of America
| | - Kevin D. Friedland
- National Marine Fisheries Service, Narragansett, Rhode Island, United States of America
| | - J. Christopher Taylor
- NOAA National Centers for Coastal Ocean Science, Beaufort, North Carolina, United States of America
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16
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A. Maureaud A, Frelat R, Pécuchet L, Shackell N, Mérigot B, Pinsky ML, Amador K, Anderson SC, Arkhipkin A, Auber A, Barri I, Bell RJ, Belmaker J, Beukhof E, Camara ML, Guevara‐Carrasco R, Choi J, Christensen HT, Conner J, Cubillos LA, Diadhiou HD, Edelist D, Emblemsvåg M, Ernst B, Fairweather TP, Fock HO, Friedland KD, Garcia CB, Gascuel D, Gislason H, Goren M, Guitton J, Jouffre D, Hattab T, Hidalgo M, Kathena JN, Knuckey I, Kidé SO, Koen‐Alonso M, Koopman M, Kulik V, León JP, Levitt‐Barmats Y, Lindegren M, Llope M, Massiot‐Granier F, Masski H, McLean M, Meissa B, Mérillet L, Mihneva V, Nunoo FKE, O'Driscoll R, O'Leary CA, Petrova E, Ramos JE, Refes W, Román‐Marcote E, Siegstad H, Sobrino I, Sólmundsson J, Sonin O, Spies I, Steingrund P, Stephenson F, Stern N, Tserkova F, Tserpes G, Tzanatos E, van Rijn I, van Zwieten PAM, Vasilakopoulos P, Yepsen DV, Ziegler P, T. Thorson J. Are we ready to track climate-driven shifts in marine species across international boundaries? - A global survey of scientific bottom trawl data. GLOBAL CHANGE BIOLOGY 2021; 27:220-236. [PMID: 33067925 PMCID: PMC7756400 DOI: 10.1111/gcb.15404] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/01/2020] [Accepted: 10/02/2020] [Indexed: 05/09/2023]
Abstract
Marine biota are redistributing at a rapid pace in response to climate change and shifting seascapes. While changes in fish populations and community structure threaten the sustainability of fisheries, our capacity to adapt by tracking and projecting marine species remains a challenge due to data discontinuities in biological observations, lack of data availability, and mismatch between data and real species distributions. To assess the extent of this challenge, we review the global status and accessibility of ongoing scientific bottom trawl surveys. In total, we gathered metadata for 283,925 samples from 95 surveys conducted regularly from 2001 to 2019. We identified that 59% of the metadata collected are not publicly available, highlighting that the availability of data is the most important challenge to assess species redistributions under global climate change. Given that the primary purpose of surveys is to provide independent data to inform stock assessment of commercially important populations, we further highlight that single surveys do not cover the full range of the main commercial demersal fish species. An average of 18 surveys is needed to cover at least 50% of species ranges, demonstrating the importance of combining multiple surveys to evaluate species range shifts. We assess the potential for combining surveys to track transboundary species redistributions and show that differences in sampling schemes and inconsistency in sampling can be overcome with spatio-temporal modeling to follow species density redistributions. In light of our global assessment, we establish a framework for improving the management and conservation of transboundary and migrating marine demersal species. We provide directions to improve data availability and encourage countries to share survey data, to assess species vulnerabilities, and to support management adaptation in a time of climate-driven ocean changes.
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Affiliation(s)
- Aurore A. Maureaud
- Centre for Ocean LifeNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
- Section for Ecosystem based Marine ManagementNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
| | - Romain Frelat
- Aquaculture and Fisheries GroupWageningen University & ResearchWageningenThe Netherlands
| | - Laurène Pécuchet
- Norwegian College of Fishery ScienceUiT The Arctic University of NorwayTromsøNorway
| | - Nancy Shackell
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNSCanada
| | | | - Malin L. Pinsky
- Department of Ecology, Evolution, and Natural ResourcesRutgers, The State University of New JerseyNew BrunswickNJUSA
| | - Kofi Amador
- Fisheries Scientific Survey DivisionFisheries CommissionTemaGhana
| | - Sean C. Anderson
- Fisheries and Oceans CanadaPacific Biological StationNanaimoBCCanada
| | - Alexander Arkhipkin
- Falkland Islands Fisheries DepartmentDirectorate of Natural ResourcesStanleyFalkland Islands
| | - Arnaud Auber
- Halieutique Manche Mer du Nord unitFrench Research Institute for the Exploitation of the Sea (IFREMER)Boulogne‐sur‐MerFrance
| | - Iça Barri
- Centro de Investigaçao Pesqueira Aplicada (CIPA)BissauGuinea‐Bissau
| | | | - Jonathan Belmaker
- School of Zoology and The Steinhardt Museum of Natural HistoryTel AvivIsrael
| | | | - Mohamed L. Camara
- HalieuteNational Center of Fisheries Sciences of BoussouraConakryRepublic of Guinea
| | - Renato Guevara‐Carrasco
- General Directorate of Demersal and Coastal Resources ResearchInstituto del Mar Perú (IMARPE)CallaoPerú
| | - Junghwa Choi
- Fisheries Resources Research CenterNational Institute of Fisheries ScienceTongyeong‐siKorea
| | | | - Jason Conner
- Resource Assessment and Conservation Engineering, Alaska Fisheries Science Center, National Marine Fisheries ServiceNOAASeattleWAUSA
| | - Luis A. Cubillos
- COPAS Sur‐AustralDepartamento de OceanografíaUniversity of ConcepcionConcepciónChile
| | | | - Dori Edelist
- Recanati Institute for Maritime Studies and Department of Maritime CivilizationsCharney School of Marine SciencesUniversity of HaifaHaifaIsrael
| | | | - Billy Ernst
- Millennium Nucleus of Ecology and Sustainable Management of Oceanic Islands (ESMOI)Departamento de OceanografíaFacultad de Ciencias Naturales y OceanográficasUniversidad de ConcepciónConcepciónChile
| | | | - Heino O. Fock
- Thuenen Institute of Sea FisheriesBremerhavenGermany
| | - Kevin D. Friedland
- Narragansett LaboratoryNational Marine Fisheries ServiceNarragansettRIUSA
| | - Camilo B. Garcia
- Departamento de BiologiaUniversidad Nacional de ColombiaBogotáColombia
| | - Didier Gascuel
- ESE, Ecology and Ecosystem HealthInstitut AgroRennesFrance
| | - Henrik Gislason
- Section for Ecosystem based Marine ManagementNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
| | - Menachem Goren
- School of Zoology and The Steinhardt Museum of Natural HistoryTel AvivIsrael
| | - Jérôme Guitton
- ESE, Ecology and Ecosystem HealthInstitut AgroRennesFrance
| | | | | | - Manuel Hidalgo
- Ecosystem Oceanography Group (GRECO)Instituto Español de OceanografíaCentre Oceanogràfic de les BalearsPalma de MallorcaSpain
| | - Johannes N. Kathena
- National Marine Information and Research CentreMinistry of Fisheries and Marine Resources (MFMR)SwakopmundNamibia
| | - Ian Knuckey
- Fishwell Consulting Pty LtdQueenscliffVic.Australia
| | - Saïkou O. Kidé
- Institut Mauritanien de Recherches Océanographiques et des PêchesNouadhibouMauritania
| | - Mariano Koen‐Alonso
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNLCanada
| | - Matt Koopman
- Fishwell Consulting Pty LtdQueenscliffVic.Australia
| | - Vladimir Kulik
- Pacific Branch (TINRO) of Russian Federal Research Institute Of Fisheries and Oceanography (VNIRO)VladivostokRussia
| | - Jacqueline Palacios León
- General Directorate of Demersal and Coastal Resources ResearchInstituto del Mar Perú (IMARPE)CallaoPerú
| | | | - Martin Lindegren
- Centre for Ocean LifeNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
| | - Marcos Llope
- Instituto Español de OceanografíaCádizAndalucíaSpain
| | - Félix Massiot‐Granier
- Département Adaptations du vivantUMR BOREAMuseum National d’Histoire NaturelleParisFrance
| | - Hicham Masski
- Institut National de Recherche HalieutiqueCasablancaMorocco
| | - Matthew McLean
- Department of BiologyDalhousie UniversityHalifaxNSCanada
| | - Beyah Meissa
- Institut Mauritanien de Recherches Océanographiques et des PêchesNouadhibouMauritania
| | - Laurène Mérillet
- National Museum of Natural HistoryParisFrance
- IfremerLorientFrance
| | | | | | - Richard O'Driscoll
- National Institute of Water and Atmospheric Research LimitedWellingtonNew Zealand
| | - Cecilia A. O'Leary
- Resource Assessment and Conservation Engineering Division, Alaska Fisheries Science CenterNOAASeattleWAUSA
| | | | - Jorge E. Ramos
- Falkland Islands Fisheries DepartmentDirectorate of Natural ResourcesStanleyFalkland Islands
- Institute for Marine and Antarctic StudiesUniversity of TasmaniaHobartTas.Australia
| | - Wahid Refes
- National Higher School of Marine Sciences and Coastal ManagementDély IbrahimAlgeria
| | | | | | | | | | - Oren Sonin
- Israeli Fisheries Division, Fisheries and Aquaculture DepartmentMinistry of AgricultureKiryat HaimIsrael
| | - Ingrid Spies
- Resource Ecology and Fisheries Management, Alaska Fisheries Science Center, National Marine Fisheries ServiceNOAASeattleWAUSA
| | | | - Fabrice Stephenson
- National Institute of Water and Atmospheric Research LimitedWellingtonNew Zealand
| | - Nir Stern
- Israel Oceanographic and Limnological Research InstituteHaifaIsrael
| | | | | | | | | | - Paul A. M. van Zwieten
- Aquaculture and Fisheries GroupWageningen University & ResearchWageningenThe Netherlands
| | | | - Daniela V. Yepsen
- Programa de Doctorado en Ciencias con Mención en Manejo de Recursos Acuáticos Renovables (MaReA)Facultad de Ciencias Naturales y OceanográficasUniversidad de ConcepciónConcepciónChile
| | - Philippe Ziegler
- Antarctic Conservation and Management ProgramAustralian Antarctic DivisionDepartment of Agriculture, Water, and the EnvironmentKingstonTas.Australia
| | - James T. Thorson
- Habitat and Ecological Processes Research ProgramAlaska Fisheries Science Center, National Marine Fisheries ServiceNOAASeattleWAUSA
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