Emergent global biogeography of marine fish food webs

Aim Understanding how fish food webs emerge from planktonic and benthic energy pathways that sustain them is an important challenge for predicting fisheries production under climate change and quantifying the role of fish in carbon and nutrient cycling. We examine if a trait‐based fish community mod...

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Veröffentlicht in:Global ecology and biogeography 2021-09, Vol.30 (9), p.1822-1834
Hauptverfasser: Denderen, P. Daniël, Petrik, Colleen M., Stock, Charles A., Andersen, Ken H., Bates, Amanda
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container_end_page 1834
container_issue 9
container_start_page 1822
container_title Global ecology and biogeography
container_volume 30
creator Denderen, P. Daniël
Petrik, Colleen M.
Stock, Charles A.
Andersen, Ken H.
Bates, Amanda
description Aim Understanding how fish food webs emerge from planktonic and benthic energy pathways that sustain them is an important challenge for predicting fisheries production under climate change and quantifying the role of fish in carbon and nutrient cycling. We examine if a trait‐based fish community model using the fish traits of maximum body weight and vertical habitat strategy can meet this challenge by globally representing fish food web diversity. Location Global oceans. Time period Predictions are representative of the early 1990s. Major taxa studied Marine teleost fish. Methods We present a size‐ and trait‐based fish community model that explicitly resolves the dependence of fish on pelagic and benthic energy pathways to globally predict fish food web biogeography. The emergent food web structures are compared with regionally calibrated models in three different ecosystem types and used to estimate two fish ecosystem functions: potential fisheries production and benthic–pelagic coupling. Results Variations in pelagic–benthic energy pathways and seafloor depth drive the emergent biogeography of fish food webs from shelf systems to the open ocean, and across the global ocean. Most shelf regions have high benthic production, which favours demersal fish that feed on pelagic and benthic pathways. Continental slopes also show a coupling of benthic and pelagic pathways, sustained through vertically migrating and interacting mesopelagic and deep‐sea demersal fish. Open ocean fish communities are primarily structured around the pelagic pathway. Global model results compare favourably with data‐driven regional food web models, suggesting that maximum weight and vertical behaviour can capture large‐scale variations in food web structure. Main conclusions Mechanistically linking ocean productivity with upper trophic levels using a size‐ and trait‐based fish community model results in spatial variations in food web structure. Energy pathways vary with ocean productivity and seabed depth, thereby shaping the dominant traits and fish communities across ocean biomes.
doi_str_mv 10.1111/geb.13348
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Daniël ; Petrik, Colleen M. ; Stock, Charles A. ; Andersen, Ken H. ; Bates, Amanda</creator><contributor>Bates, Amanda</contributor><creatorcontrib>Denderen, P. Daniël ; Petrik, Colleen M. ; Stock, Charles A. ; Andersen, Ken H. ; Bates, Amanda ; Bates, Amanda</creatorcontrib><description>Aim Understanding how fish food webs emerge from planktonic and benthic energy pathways that sustain them is an important challenge for predicting fisheries production under climate change and quantifying the role of fish in carbon and nutrient cycling. We examine if a trait‐based fish community model using the fish traits of maximum body weight and vertical habitat strategy can meet this challenge by globally representing fish food web diversity. Location Global oceans. Time period Predictions are representative of the early 1990s. Major taxa studied Marine teleost fish. Methods We present a size‐ and trait‐based fish community model that explicitly resolves the dependence of fish on pelagic and benthic energy pathways to globally predict fish food web biogeography. The emergent food web structures are compared with regionally calibrated models in three different ecosystem types and used to estimate two fish ecosystem functions: potential fisheries production and benthic–pelagic coupling. Results Variations in pelagic–benthic energy pathways and seafloor depth drive the emergent biogeography of fish food webs from shelf systems to the open ocean, and across the global ocean. Most shelf regions have high benthic production, which favours demersal fish that feed on pelagic and benthic pathways. Continental slopes also show a coupling of benthic and pelagic pathways, sustained through vertically migrating and interacting mesopelagic and deep‐sea demersal fish. Open ocean fish communities are primarily structured around the pelagic pathway. Global model results compare favourably with data‐driven regional food web models, suggesting that maximum weight and vertical behaviour can capture large‐scale variations in food web structure. Main conclusions Mechanistically linking ocean productivity with upper trophic levels using a size‐ and trait‐based fish community model results in spatial variations in food web structure. Energy pathways vary with ocean productivity and seabed depth, thereby shaping the dominant traits and fish communities across ocean biomes.</description><identifier>ISSN: 1466-822X</identifier><identifier>EISSN: 1466-8238</identifier><identifier>DOI: 10.1111/geb.13348</identifier><language>eng</language><publisher>Oxford: Wiley Subscription Services, Inc</publisher><subject>benthic–pelagic coupling ; Biogeography ; Body weight ; Carbon cycle ; Climate change ; Continental slope ; Coupling ; Dominant traits ; Ecological function ; Energy ; energy chains ; Environment models ; Fish ; Fish feeds ; Fisheries ; Food chains ; Food webs ; Marine fish ; mesopelagic ; Nutrient cycles ; Ocean floor ; Oceans ; Productivity ; size‐based models ; Spatial variations ; Traditional foods ; trait‐based ecology ; Trophic levels</subject><ispartof>Global ecology and biogeography, 2021-09, Vol.30 (9), p.1822-1834</ispartof><rights>2021 John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3988-8569f4651ec04651c79d98bae02c4dd6755419a9730b79cf42e41f8cf149dfc03</citedby><cites>FETCH-LOGICAL-c3988-8569f4651ec04651c79d98bae02c4dd6755419a9730b79cf42e41f8cf149dfc03</cites><orcidid>0000-0003-3253-0455 ; 0000-0001-6351-0241</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fgeb.13348$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fgeb.13348$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><contributor>Bates, Amanda</contributor><creatorcontrib>Denderen, P. Daniël</creatorcontrib><creatorcontrib>Petrik, Colleen M.</creatorcontrib><creatorcontrib>Stock, Charles A.</creatorcontrib><creatorcontrib>Andersen, Ken H.</creatorcontrib><creatorcontrib>Bates, Amanda</creatorcontrib><title>Emergent global biogeography of marine fish food webs</title><title>Global ecology and biogeography</title><description>Aim Understanding how fish food webs emerge from planktonic and benthic energy pathways that sustain them is an important challenge for predicting fisheries production under climate change and quantifying the role of fish in carbon and nutrient cycling. We examine if a trait‐based fish community model using the fish traits of maximum body weight and vertical habitat strategy can meet this challenge by globally representing fish food web diversity. Location Global oceans. Time period Predictions are representative of the early 1990s. Major taxa studied Marine teleost fish. Methods We present a size‐ and trait‐based fish community model that explicitly resolves the dependence of fish on pelagic and benthic energy pathways to globally predict fish food web biogeography. The emergent food web structures are compared with regionally calibrated models in three different ecosystem types and used to estimate two fish ecosystem functions: potential fisheries production and benthic–pelagic coupling. Results Variations in pelagic–benthic energy pathways and seafloor depth drive the emergent biogeography of fish food webs from shelf systems to the open ocean, and across the global ocean. Most shelf regions have high benthic production, which favours demersal fish that feed on pelagic and benthic pathways. Continental slopes also show a coupling of benthic and pelagic pathways, sustained through vertically migrating and interacting mesopelagic and deep‐sea demersal fish. Open ocean fish communities are primarily structured around the pelagic pathway. Global model results compare favourably with data‐driven regional food web models, suggesting that maximum weight and vertical behaviour can capture large‐scale variations in food web structure. Main conclusions Mechanistically linking ocean productivity with upper trophic levels using a size‐ and trait‐based fish community model results in spatial variations in food web structure. 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Daniël</creatorcontrib><creatorcontrib>Petrik, Colleen M.</creatorcontrib><creatorcontrib>Stock, Charles A.</creatorcontrib><creatorcontrib>Andersen, Ken H.</creatorcontrib><creatorcontrib>Bates, Amanda</creatorcontrib><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Global ecology and biogeography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Denderen, P. Daniël</au><au>Petrik, Colleen M.</au><au>Stock, Charles A.</au><au>Andersen, Ken H.</au><au>Bates, Amanda</au><au>Bates, Amanda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Emergent global biogeography of marine fish food webs</atitle><jtitle>Global ecology and biogeography</jtitle><date>2021-09</date><risdate>2021</risdate><volume>30</volume><issue>9</issue><spage>1822</spage><epage>1834</epage><pages>1822-1834</pages><issn>1466-822X</issn><eissn>1466-8238</eissn><abstract>Aim Understanding how fish food webs emerge from planktonic and benthic energy pathways that sustain them is an important challenge for predicting fisheries production under climate change and quantifying the role of fish in carbon and nutrient cycling. We examine if a trait‐based fish community model using the fish traits of maximum body weight and vertical habitat strategy can meet this challenge by globally representing fish food web diversity. Location Global oceans. Time period Predictions are representative of the early 1990s. Major taxa studied Marine teleost fish. Methods We present a size‐ and trait‐based fish community model that explicitly resolves the dependence of fish on pelagic and benthic energy pathways to globally predict fish food web biogeography. The emergent food web structures are compared with regionally calibrated models in three different ecosystem types and used to estimate two fish ecosystem functions: potential fisheries production and benthic–pelagic coupling. Results Variations in pelagic–benthic energy pathways and seafloor depth drive the emergent biogeography of fish food webs from shelf systems to the open ocean, and across the global ocean. Most shelf regions have high benthic production, which favours demersal fish that feed on pelagic and benthic pathways. Continental slopes also show a coupling of benthic and pelagic pathways, sustained through vertically migrating and interacting mesopelagic and deep‐sea demersal fish. Open ocean fish communities are primarily structured around the pelagic pathway. Global model results compare favourably with data‐driven regional food web models, suggesting that maximum weight and vertical behaviour can capture large‐scale variations in food web structure. Main conclusions Mechanistically linking ocean productivity with upper trophic levels using a size‐ and trait‐based fish community model results in spatial variations in food web structure. 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subjects benthic–pelagic coupling
Biogeography
Body weight
Carbon cycle
Climate change
Continental slope
Coupling
Dominant traits
Ecological function
Energy
energy chains
Environment models
Fish
Fish feeds
Fisheries
Food chains
Food webs
Marine fish
mesopelagic
Nutrient cycles
Ocean floor
Oceans
Productivity
size‐based models
Spatial variations
Traditional foods
trait‐based ecology
Trophic levels
title Emergent global biogeography of marine fish food webs
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