Match–mismatch dynamics in the Norwegian–Barents Sea system
A key process affecting variation in the recruitment of fish into fisheries is the spatiotemporal overlap between prey and predator (match–mismatch hypothesis, MMH). The Northeast Arctic cod Gadus morhua and its dominant prey, the copepod Calanus finmarchicus, have long been studied in the Norwegian...
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Veröffentlicht in: | Marine ecology. Progress series (Halstenbek) 2020-09, Vol.650, p.81-94 |
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creator | Ferreira, A. Sofia A. Stige, Leif C. Neuheimer, Anna B. Bogstad, Bjarte Yaragina, Natalia Prokopchuk, Irina Durant, Joël M. |
description | A key process affecting variation in the recruitment of fish into fisheries is the spatiotemporal overlap between prey and predator (match–mismatch hypothesis, MMH). The Northeast Arctic cod Gadus morhua and its dominant prey, the copepod Calanus finmarchicus, have long been studied in the Norwegian–Barents Sea system. However, the mechanistic explanation of how cod survival is affected by MMH dynamics remains unclear. Most MMH studies have focused on either the time synchrony or the spatial overlap between trophic levels. Here, we used G. morhua larvae and C. finmarchicus data collected in the Norwegian–Barents Sea via ichthyoplankton surveys from 1959–1992 to assess the effect of the predator–prey relationship on predator recruitment to the fisheries at age 3 (as a measure of survival) and to develop a metric of predator–prey overlap using spatio-temporal statistical models. We then compared the inter annual variability of the predator–prey overlap with the predator’s abundance at recruitment to assess how MMH dynamics explain the survival of cod during its early life stages. We found that the amount of overlap be tween cod larvae (length: 11–15 mm) and their prey explained 29% of cod recruitment variability. Positive correlations be tween predator–prey overlap and subsequent recruitment were also found for predators of 6–10 and 16–20 mm, but not for 21+ mm.This improved predator–prey overlap metric is thus (1) useful to better understand how predator–prey dynamics at early life stages of fish impact the survival of later stages; and (2) a valuable tool for assessing the state of an ecosystem. |
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Sofia A. ; Stige, Leif C. ; Neuheimer, Anna B. ; Bogstad, Bjarte ; Yaragina, Natalia ; Prokopchuk, Irina ; Durant, Joël M.</creator><creatorcontrib>Ferreira, A. Sofia A. ; Stige, Leif C. ; Neuheimer, Anna B. ; Bogstad, Bjarte ; Yaragina, Natalia ; Prokopchuk, Irina ; Durant, Joël M.</creatorcontrib><description>A key process affecting variation in the recruitment of fish into fisheries is the spatiotemporal overlap between prey and predator (match–mismatch hypothesis, MMH). The Northeast Arctic cod Gadus morhua and its dominant prey, the copepod Calanus finmarchicus, have long been studied in the Norwegian–Barents Sea system. However, the mechanistic explanation of how cod survival is affected by MMH dynamics remains unclear. Most MMH studies have focused on either the time synchrony or the spatial overlap between trophic levels. Here, we used G. morhua larvae and C. finmarchicus data collected in the Norwegian–Barents Sea via ichthyoplankton surveys from 1959–1992 to assess the effect of the predator–prey relationship on predator recruitment to the fisheries at age 3 (as a measure of survival) and to develop a metric of predator–prey overlap using spatio-temporal statistical models. We then compared the inter annual variability of the predator–prey overlap with the predator’s abundance at recruitment to assess how MMH dynamics explain the survival of cod during its early life stages. We found that the amount of overlap be tween cod larvae (length: 11–15 mm) and their prey explained 29% of cod recruitment variability. Positive correlations be tween predator–prey overlap and subsequent recruitment were also found for predators of 6–10 and 16–20 mm, but not for 21+ mm.This improved predator–prey overlap metric is thus (1) useful to better understand how predator–prey dynamics at early life stages of fish impact the survival of later stages; and (2) a valuable tool for assessing the state of an ecosystem.</description><identifier>ISSN: 0171-8630</identifier><identifier>EISSN: 1616-1599</identifier><identifier>DOI: 10.3354/MEPS13276</identifier><language>eng</language><publisher>Oldendorf: Inter-Research Science Center</publisher><subject>Aquatic crustaceans ; Calanus finmarchicus ; Cod ; Dynamics ; Fish ; Fisheries ; Gadus morhua ; Ichthyoplankton ; Ichthyoplankton surveys ; Interspecific relationships ; Larvae ; Marine fishes ; Mathematical models ; Plankton ; Polar environments ; Predator-prey interactions ; Predators ; Prey ; Recruitment ; Recruitment (fisheries) ; Statistical analysis ; Statistical models ; Survival ; THEME SECTION: Latest advances in research on fish early life stages ; Trophic levels ; Variability</subject><ispartof>Marine ecology. Progress series (Halstenbek), 2020-09, Vol.650, p.81-94</ispartof><rights>The authors 2020</rights><rights>Copyright Inter-Research Science Center 2020</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-1133fb1c2ce75a7d1f5bb43f86fe1e36bd9ca03c7d83a5e7284705488787aa0e3</citedby><cites>FETCH-LOGICAL-c338t-1133fb1c2ce75a7d1f5bb43f86fe1e36bd9ca03c7d83a5e7284705488787aa0e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26988276$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26988276$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,776,780,799,881,26544,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Ferreira, A. Sofia A.</creatorcontrib><creatorcontrib>Stige, Leif C.</creatorcontrib><creatorcontrib>Neuheimer, Anna B.</creatorcontrib><creatorcontrib>Bogstad, Bjarte</creatorcontrib><creatorcontrib>Yaragina, Natalia</creatorcontrib><creatorcontrib>Prokopchuk, Irina</creatorcontrib><creatorcontrib>Durant, Joël M.</creatorcontrib><title>Match–mismatch dynamics in the Norwegian–Barents Sea system</title><title>Marine ecology. Progress series (Halstenbek)</title><description>A key process affecting variation in the recruitment of fish into fisheries is the spatiotemporal overlap between prey and predator (match–mismatch hypothesis, MMH). The Northeast Arctic cod Gadus morhua and its dominant prey, the copepod Calanus finmarchicus, have long been studied in the Norwegian–Barents Sea system. However, the mechanistic explanation of how cod survival is affected by MMH dynamics remains unclear. Most MMH studies have focused on either the time synchrony or the spatial overlap between trophic levels. Here, we used G. morhua larvae and C. finmarchicus data collected in the Norwegian–Barents Sea via ichthyoplankton surveys from 1959–1992 to assess the effect of the predator–prey relationship on predator recruitment to the fisheries at age 3 (as a measure of survival) and to develop a metric of predator–prey overlap using spatio-temporal statistical models. We then compared the inter annual variability of the predator–prey overlap with the predator’s abundance at recruitment to assess how MMH dynamics explain the survival of cod during its early life stages. We found that the amount of overlap be tween cod larvae (length: 11–15 mm) and their prey explained 29% of cod recruitment variability. Positive correlations be tween predator–prey overlap and subsequent recruitment were also found for predators of 6–10 and 16–20 mm, but not for 21+ mm.This improved predator–prey overlap metric is thus (1) useful to better understand how predator–prey dynamics at early life stages of fish impact the survival of later stages; and (2) a valuable tool for assessing the state of an ecosystem.</description><subject>Aquatic crustaceans</subject><subject>Calanus finmarchicus</subject><subject>Cod</subject><subject>Dynamics</subject><subject>Fish</subject><subject>Fisheries</subject><subject>Gadus morhua</subject><subject>Ichthyoplankton</subject><subject>Ichthyoplankton surveys</subject><subject>Interspecific relationships</subject><subject>Larvae</subject><subject>Marine fishes</subject><subject>Mathematical models</subject><subject>Plankton</subject><subject>Polar environments</subject><subject>Predator-prey interactions</subject><subject>Predators</subject><subject>Prey</subject><subject>Recruitment</subject><subject>Recruitment (fisheries)</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Survival</subject><subject>THEME SECTION: Latest advances in research on fish early life stages</subject><subject>Trophic levels</subject><subject>Variability</subject><issn>0171-8630</issn><issn>1616-1599</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNo90MtKw0AUBuBBFKzVhQ8gBly5iM7JXLMSLfUCrQrV9TCZTGyKmdSZKZKd7-Ab-iSmVl2dA-fj5_AjdAj4jBBGz6fjxxmQTPAtNAAOPAWW59togEFAKjnBu2gvhAXGwKngA3Qx1dHMvz4-mzo06zUpO6eb2oSkdkmc2-S-9e_2pdauR1faWxdDMrM6CV2IttlHO5V-Dfbgdw7R8_X4aXSbTh5u7kaXk9QQImMKQEhVgMmMFUyLEipWFJRUklcWLOFFmRuNiRGlJJpZkUkqMKNSCim0xpYM0fEm1_g6xNop13qtAEuWKSExFr042Yilb99WNkS1aFfe9U-pjFKa5xlI1qvTv5w2BG8rtfR1o33XZ6l1g6qxy_DTYG-PNnYRYuv_YcZzKdf3b25ubPA</recordid><startdate>20200917</startdate><enddate>20200917</enddate><creator>Ferreira, A. Sofia A.</creator><creator>Stige, Leif C.</creator><creator>Neuheimer, Anna B.</creator><creator>Bogstad, Bjarte</creator><creator>Yaragina, Natalia</creator><creator>Prokopchuk, Irina</creator><creator>Durant, Joël M.</creator><general>Inter-Research Science Center</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7TN</scope><scope>7U7</scope><scope>C1K</scope><scope>F1W</scope><scope>M7N</scope><scope>3HK</scope></search><sort><creationdate>20200917</creationdate><title>Match–mismatch dynamics in the Norwegian–Barents Sea system</title><author>Ferreira, A. Sofia A. ; Stige, Leif C. ; Neuheimer, Anna B. ; Bogstad, Bjarte ; Yaragina, Natalia ; Prokopchuk, Irina ; Durant, Joël M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-1133fb1c2ce75a7d1f5bb43f86fe1e36bd9ca03c7d83a5e7284705488787aa0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquatic crustaceans</topic><topic>Calanus finmarchicus</topic><topic>Cod</topic><topic>Dynamics</topic><topic>Fish</topic><topic>Fisheries</topic><topic>Gadus morhua</topic><topic>Ichthyoplankton</topic><topic>Ichthyoplankton surveys</topic><topic>Interspecific relationships</topic><topic>Larvae</topic><topic>Marine fishes</topic><topic>Mathematical models</topic><topic>Plankton</topic><topic>Polar environments</topic><topic>Predator-prey interactions</topic><topic>Predators</topic><topic>Prey</topic><topic>Recruitment</topic><topic>Recruitment (fisheries)</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Survival</topic><topic>THEME SECTION: Latest advances in research on fish early life stages</topic><topic>Trophic levels</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferreira, A. Sofia A.</creatorcontrib><creatorcontrib>Stige, Leif C.</creatorcontrib><creatorcontrib>Neuheimer, Anna B.</creatorcontrib><creatorcontrib>Bogstad, Bjarte</creatorcontrib><creatorcontrib>Yaragina, Natalia</creatorcontrib><creatorcontrib>Prokopchuk, Irina</creatorcontrib><creatorcontrib>Durant, Joël M.</creatorcontrib><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>NORA - Norwegian Open Research Archives</collection><jtitle>Marine ecology. Progress series (Halstenbek)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ferreira, A. Sofia A.</au><au>Stige, Leif C.</au><au>Neuheimer, Anna B.</au><au>Bogstad, Bjarte</au><au>Yaragina, Natalia</au><au>Prokopchuk, Irina</au><au>Durant, Joël M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Match–mismatch dynamics in the Norwegian–Barents Sea system</atitle><jtitle>Marine ecology. Progress series (Halstenbek)</jtitle><date>2020-09-17</date><risdate>2020</risdate><volume>650</volume><spage>81</spage><epage>94</epage><pages>81-94</pages><issn>0171-8630</issn><eissn>1616-1599</eissn><abstract>A key process affecting variation in the recruitment of fish into fisheries is the spatiotemporal overlap between prey and predator (match–mismatch hypothesis, MMH). The Northeast Arctic cod Gadus morhua and its dominant prey, the copepod Calanus finmarchicus, have long been studied in the Norwegian–Barents Sea system. However, the mechanistic explanation of how cod survival is affected by MMH dynamics remains unclear. Most MMH studies have focused on either the time synchrony or the spatial overlap between trophic levels. Here, we used G. morhua larvae and C. finmarchicus data collected in the Norwegian–Barents Sea via ichthyoplankton surveys from 1959–1992 to assess the effect of the predator–prey relationship on predator recruitment to the fisheries at age 3 (as a measure of survival) and to develop a metric of predator–prey overlap using spatio-temporal statistical models. We then compared the inter annual variability of the predator–prey overlap with the predator’s abundance at recruitment to assess how MMH dynamics explain the survival of cod during its early life stages. We found that the amount of overlap be tween cod larvae (length: 11–15 mm) and their prey explained 29% of cod recruitment variability. Positive correlations be tween predator–prey overlap and subsequent recruitment were also found for predators of 6–10 and 16–20 mm, but not for 21+ mm.This improved predator–prey overlap metric is thus (1) useful to better understand how predator–prey dynamics at early life stages of fish impact the survival of later stages; and (2) a valuable tool for assessing the state of an ecosystem.</abstract><cop>Oldendorf</cop><pub>Inter-Research Science Center</pub><doi>10.3354/MEPS13276</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aquatic crustaceans Calanus finmarchicus Cod Dynamics Fish Fisheries Gadus morhua Ichthyoplankton Ichthyoplankton surveys Interspecific relationships Larvae Marine fishes Mathematical models Plankton Polar environments Predator-prey interactions Predators Prey Recruitment Recruitment (fisheries) Statistical analysis Statistical models Survival THEME SECTION: Latest advances in research on fish early life stages Trophic levels Variability |
title | Match–mismatch dynamics in the Norwegian–Barents Sea system |
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