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Fennie HW, Seary R, Muhling BA, Bograd SJ, Brodie S, Cimino MA, Hazen EL, Jacox MG, McHuron EA, Melin S, Santora JA, Suca JJ, Thayer JA, Thompson AR, Warzybok P, Tommasi D. An anchovy ecosystem indicator of marine predator foraging and reproduction. Proc Biol Sci 2023; 290:20222326. [PMID: 36750186 PMCID: PMC9904941 DOI: 10.1098/rspb.2022.2326] [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: 11/17/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023] Open
Abstract
Forage fishes are key energy conduits that transfer primary and secondary productivity to higher trophic levels. As novel environmental conditions caused by climate change alter ecosystems and predator-prey dynamics, there is a critical need to understand how forage fish control bottom-up forcing of food web dynamics. In the northeast Pacific, northern anchovy (Engraulis mordax) is an important forage species with high interannual variability in population size that subsequently impacts the foraging and reproductive ecology of marine predators. Anchovy habitat suitability from a species distribution model (SDM) was assessed as an indicator of the diet, distribution and reproduction of four predator species. Across 22 years (1998-2019), this anchovy ecosystem indicator (AEI) was significantly positively correlated with diet composition of all species and the distribution of common murres (Uria aalge), Brandt's cormorants (Phalacrocorax penicillatus) and California sea lions (Zalophus californianus), but not rhinoceros auklets (Cerorhinca monocerata). The capacity for the AEI to explain variability in predator reproduction varied by species but was strongest with cormorants and sea lions. The AEI demonstrates the utility of forage SDMs in creating ecosystem indicators to guide ecosystem-based management.
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Affiliation(s)
- H. William Fennie
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Fisheries Resources Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric and Administration, 8901 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA
| | - Rachel Seary
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
| | - Barbara A. Muhling
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Fisheries Resources Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric and Administration, 8901 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA
| | - Steven J. Bograd
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
| | - Stephanie Brodie
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
| | - Megan A. Cimino
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
| | - Elliott L. Hazen
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
| | - Michael G. Jacox
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
- Physical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric and Administration, 325 Broadway, Boulder, CO 80305, USA
| | - Elizabeth A. McHuron
- Cooperative Institute for Climate, Ocean and Ecosystem Studies, University of Washington, 3737 Brooklyn Avenue NE, Seattle, WA 98105, USA
| | - Sharon Melin
- California Current Ecosystems Program, Alaska Fisheries Science Center, National Marine Mammal Laboratory, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA
| | - Jarrod A. Santora
- Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, CA 95060, USA
- Department of Applied Math, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Justin J. Suca
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Environmental Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, Suite 255A, Monterey, CA 93940-7200, USA
| | - Julie A. Thayer
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Farallon Institute for Advanced Ecosystem Research, 101 H Street, Suite Q, Petaluma, CA 94952, USA
| | - Andrew R. Thompson
- Fisheries Resources Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric and Administration, 8901 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA
| | - Pete Warzybok
- Point Blue Conservation Science, 3820 Cypress Drive Suite 11, Petaluma, CA 94954, USA
| | - Desiree Tommasi
- Institute of Marine Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
- Fisheries Resources Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric and Administration, 8901 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA
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Goethel DR, Omori KL, Punt AE, Lynch PD, Berger AM, de Moor CL, Plagányi ÉE, Cope JM, Dowling NA, McGarvey R, Preece AL, Thorson JT, Chaloupka M, Gaichas S, Gilman E, Hesp SA, Longo C, Yao N, Methot RD. Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice. REVIEWS IN FISH BIOLOGY AND FISHERIES 2023; 33:375-410. [PMID: 36124316 PMCID: PMC9476434 DOI: 10.1007/s11160-022-09726-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/18/2022] [Indexed: 05/19/2023]
Abstract
UNLABELLED Marine population modeling, which underpins the scientific advice to support fisheries interventions, is an active research field with recent advancements to address modern challenges (e.g., climate change) and enduring issues (e.g., data limitations). Based on discussions during the 'Land of Plenty' session at the 2021 World Fisheries Congress, we synthesize current challenges, recent advances, and interdisciplinary developments in biological fisheries models (i.e., data-limited, stock assessment, spatial, ecosystem, and climate), management strategy evaluation, and the scientific advice that bridges the science-policy interface. Our review demonstrates that proliferation of interdisciplinary research teams and enhanced data collection protocols have enabled increased integration of spatiotemporal, ecosystem, and socioeconomic dimensions in many fisheries models. However, not all management systems have the resources to implement model-based advice, while protocols for sharing confidential data are lacking and impeding research advances. We recommend that management and modeling frameworks continue to adopt participatory co-management approaches that emphasize wider inclusion of local knowledge and stakeholder input to fill knowledge gaps and promote information sharing. Moreover, fisheries management, by which we mean the end-to-end process of data collection, scientific analysis, and implementation of evidence-informed management actions, must integrate improved communication, engagement, and capacity building, while incorporating feedback loops at each stage. Increasing application of management strategy evaluation is viewed as a critical unifying component, which will bridge fisheries modeling disciplines, aid management decision-making, and better incorporate the array of stakeholders, thereby leading to a more proactive, pragmatic, transparent, and inclusive management framework-ensuring better informed decisions in an uncertain world. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11160-022-09726-7.
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Affiliation(s)
- Daniel R. Goethel
- Auke Bay Laboratories, Marine Ecology and Stock Assessment (MESA) Program, Alaska Fisheries Science Center, NOAA Fisheries, Juneau, AK 99801 USA
| | - Kristen L. Omori
- Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062 USA
| | - André E. Punt
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195-5020 USA
| | - Patrick D. Lynch
- Office of Science and Technology, NOAA Fisheries, Silver Spring, MD 20910 USA
| | - Aaron M. Berger
- Fisheries Resource, Analysis, and Monitoring (FRAM) Division, Northwest Fisheries Science Center, NOAA Fisheries, Newport, OR 97365 USA
| | - Carryn L. de Moor
- Marine Resource Assessment and Management (MARAM) Group, Department of Mathematics and Applied Mathematics, University of Cape Town, Rondebosch, 7701 South Africa
| | | | - Jason M. Cope
- Fisheries Resource, Analysis, and Monitoring (FRAM) Division, Northwest Fisheries Science Center, NOAA Fisheries, Seattle, WA 98112 USA
| | | | | | - Ann L. Preece
- CSIRO Oceans and Atmosphere, Hobart, TAS 7001 Australia
| | - James T. Thorson
- Habitat and Ecological Process Research (HEPR) Program, Alaska Fisheries Science Center, NOAA Fisheries, Seattle, WA 98115 USA
| | - Milani Chaloupka
- Ecological Modelling Services Pty Ltd & Marine Spatial Ecology Lab, University of Queensland, St Lucia, QLD 4067 Australia
| | - Sarah Gaichas
- Resource Evaluation and Assessment Division, Northeast Fisheries Science Center, NOAA Fisheries, Woods Hole, MA 02543 USA
| | | | - Sybrand A. Hesp
- Western Australian Fisheries and Marine Research Laboratories, Department of Primary Industries and Regional Development, Government of Western Australia, North Beach, WA 6920 Australia
| | - Catherine Longo
- Science & Standards, Marine Stewardship Council, EC1A 2DH London, U.K
| | - Nan Yao
- Oceanic Fisheries Programme, The Pacific Community (SPC), B.P. D5, 98848 Nouméa, New Caledonia
| | - Richard D. Methot
- Northwest Fisheries Science Center, NOAA Fisheries, Seattle, WA 98112 USA
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Dunn RE, Bradley D, Heithaus MR, Caselle JE, Papastamatiou YP. Conservation implications of forage base requirements of a marine predator population at carrying capacity. iScience 2022; 25:103646. [PMID: 35024583 PMCID: PMC8728395 DOI: 10.1016/j.isci.2021.103646] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/29/2021] [Accepted: 12/14/2021] [Indexed: 11/16/2022] Open
Abstract
Prey depletion may contribute to marine predator declines, yet the forage base required to sustain an unfished population of predatory fish at carrying capacity is unknown. We integrated demographic and physiological data within a Bayesian bioenergetic model to estimate annual consumption of a gray reef shark (Carcharhinus amblyrhynchos) population at a remote Pacific atoll (Palmyra Atoll) that are at carrying capacity. Furthermore, we estimated the proportion of the atoll's reef fish biomass production consumed by the gray reef sharks, assuming sharks either partially foraged pelagically (mean 7%), or solely within the reef environment (mean 52%). We then predicted the gray reef shark population potential of other, less remote Pacific Ocean coral reef islands, illustrating that current populations are substantially smaller than could be supported by their forage base. Our research highlights the utility of modeling how far predator population sizes are from their expected carrying capacity in informing marine conservation. Diet impacts the consumptive influence of gray reef sharks on reef fish resources Some gray reef shark populations could be larger, considering their forage base Modeling potential predator population sizes can inform their conservation
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Affiliation(s)
- Ruth E Dunn
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA.,Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Darcy Bradley
- Marine Science Institute, University of California, Santa Barbara, CA, USA
| | - Michael R Heithaus
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA
| | - Jennifer E Caselle
- Marine Science Institute, University of California, Santa Barbara, CA, USA
| | - Yannis P Papastamatiou
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA
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