A model of salmonid planktivory: field test of a mechanistic approach to size-selection
A mechanistic model was developed to simulate the planktivory process for the pelagic lake herring ( Coregonus artedi) on common crustacean zooplankton of Lake Superior. The model was constructed as a product of probabilities associated with detection, attack, capture and retention. Sensitivity anal...
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Veröffentlicht in: | Ecological modelling 1999-05, Vol.117 (2), p.269-283 |
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creator | Link, Jason S Keen, Robert E |
description | A mechanistic model was developed to simulate the planktivory process for the pelagic lake herring (
Coregonus artedi) on common crustacean zooplankton of Lake Superior. The model was constructed as a product of probabilities associated with detection, attack, capture and retention. Sensitivity analysis showed that these coefficients were robust and that initial zooplankton density affected the model behavior more than altering the coefficients. The model output provides percent composition of adult lake herring stomach contents. Zooplankton communities from several stations and seasons in Lake Superior were sampled to provide an initializing zooplankton community for the model. Model output was then contrasted with simultaneously field caught lake herring stomachs. The model predictions agreed with the observed stomach contents at an average accuracy of 80%. The overall agreement of the predictions with observed stomach contents is suggestive that the mechanisms modeled track planktivore feeding dynamics adequately. |
doi_str_mv | 10.1016/S0304-3800(99)00035-6 |
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Coregonus artedi) on common crustacean zooplankton of Lake Superior. The model was constructed as a product of probabilities associated with detection, attack, capture and retention. Sensitivity analysis showed that these coefficients were robust and that initial zooplankton density affected the model behavior more than altering the coefficients. The model output provides percent composition of adult lake herring stomach contents. Zooplankton communities from several stations and seasons in Lake Superior were sampled to provide an initializing zooplankton community for the model. Model output was then contrasted with simultaneously field caught lake herring stomachs. The model predictions agreed with the observed stomach contents at an average accuracy of 80%. The overall agreement of the predictions with observed stomach contents is suggestive that the mechanisms modeled track planktivore feeding dynamics adequately.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Components of predation</subject><subject>Coregonus artedi</subject><subject>Crustacea</subject><subject>Deterministic model</subject><subject>Feeding behavior</subject><subject>Fresh water ecosystems</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Lake herring</subject><subject>Lake Superior</subject><subject>Markovian process</subject><subject>Synecology</subject><subject>Zooplankton</subject><issn>0304-3800</issn><issn>1872-7026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PHDEQhq0oSLlc-AmRXCAExSZjm13baSKE-IiERAERpWVmx8Jhd33Yy0nk1-PjEClTTfPMvO88jH0V8E2A6L5fg4KjRhmAA2sPAUC1TfeBLYTRstEgu49s8Y58Yp9L-VMhIY1csNtjPqaeBp4CL34Y0xR7vhr89DDHdcrPP3iINPR8pjJvGM9Hwns_xTJH5H61ysnjPZ8TL_EvNYUGwjmm6QvbCX4otPs2l-z32enNyUVzeXX-6-T4skHV6bkRFoPy2CJIAoMUtPK9NEb6AB4tQY8otL6TNgR5BFa3Br0Rulcdqhbu1JLtb-_WIo9PtaQbY0Ea6geUnooTWnZWdm0F2y2IOZWSKbhVjqPPz06A22h0rxrdxpGz1r1qdF3d23sL8AX9ELKfMJZ_y7WrEqZiP7cY1WfXkbIrGGlC6mOuRlyf4n-CXgAxfYcv</recordid><startdate>19990517</startdate><enddate>19990517</enddate><creator>Link, Jason S</creator><creator>Keen, Robert E</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope></search><sort><creationdate>19990517</creationdate><title>A model of salmonid planktivory: field test of a mechanistic approach to size-selection</title><author>Link, Jason S ; Keen, Robert E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-19cf3ac5c02e08cef73ad2882af0ac9e0dcc177b29ff2409758ca817d36c350b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Components of predation</topic><topic>Coregonus artedi</topic><topic>Crustacea</topic><topic>Deterministic model</topic><topic>Feeding behavior</topic><topic>Fresh water ecosystems</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Lake herring</topic><topic>Lake Superior</topic><topic>Markovian process</topic><topic>Synecology</topic><topic>Zooplankton</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Link, Jason S</creatorcontrib><creatorcontrib>Keen, Robert E</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ecological modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Link, Jason S</au><au>Keen, Robert E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A model of salmonid planktivory: field test of a mechanistic approach to size-selection</atitle><jtitle>Ecological modelling</jtitle><date>1999-05-17</date><risdate>1999</risdate><volume>117</volume><issue>2</issue><spage>269</spage><epage>283</epage><pages>269-283</pages><issn>0304-3800</issn><eissn>1872-7026</eissn><coden>ECMODT</coden><abstract>A mechanistic model was developed to simulate the planktivory process for the pelagic lake herring (
Coregonus artedi) on common crustacean zooplankton of Lake Superior. The model was constructed as a product of probabilities associated with detection, attack, capture and retention. Sensitivity analysis showed that these coefficients were robust and that initial zooplankton density affected the model behavior more than altering the coefficients. The model output provides percent composition of adult lake herring stomach contents. Zooplankton communities from several stations and seasons in Lake Superior were sampled to provide an initializing zooplankton community for the model. Model output was then contrasted with simultaneously field caught lake herring stomachs. The model predictions agreed with the observed stomach contents at an average accuracy of 80%. The overall agreement of the predictions with observed stomach contents is suggestive that the mechanisms modeled track planktivore feeding dynamics adequately.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0304-3800(99)00035-6</doi><tpages>15</tpages></addata></record> |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences Components of predation Coregonus artedi Crustacea Deterministic model Feeding behavior Fresh water ecosystems Fundamental and applied biological sciences. Psychology Lake herring Lake Superior Markovian process Synecology Zooplankton |
title | A model of salmonid planktivory: field test of a mechanistic approach to size-selection |
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