Effects of Individual Habitat Selection in a Heterogeneous Environment on Fish Cohort Survivorship: A Modelling Analysis

1. This work investigates how cohort survivorship predictions are affected by the rules used for moving individuals between habitats in a variety of prey and predator environments. 2. We present an individual-based simulation model of the survival of a juvenile, planktivorous fish cohort over the gr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of animal ecology 1997-01, Vol.66 (1), p.122-136
Hauptverfasser: Tyler, Jeffrey A., Rose, Kenneth A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 136
container_issue 1
container_start_page 122
container_title The Journal of animal ecology
container_volume 66
creator Tyler, Jeffrey A.
Rose, Kenneth A.
description 1. This work investigates how cohort survivorship predictions are affected by the rules used for moving individuals between habitats in a variety of prey and predator environments. 2. We present an individual-based simulation model of the survival of a juvenile, planktivorous fish cohort over the growing season in a spatially explicit environment. The model represents the environment as a 10 X 10 grid of cells (habitats) that can vary in food density and predator number. 3. Juvenile fish begin with identical characteristics, then grow, move between cells, and die based on their individual experiences. Juveniles use one of four moving-between-cell (cell-departure) rules: random, maximize growth, minimize mortality risk, and minimize the ratio of mortality risk to growth. The model includes size-dependent rules for juvenile consumption, encounters between juveniles and predators, and juvenile death. Predators have three different distributions: uncorrelated, correlated with zooplankton, and correlated with juveniles. 4. Three simulation experiments were conducted to address how cohort survivorship is affected by the environment's spatial heterogeneity, the cell-departure rule of juveniles, and the initial cohort number (Experiment 1); which cell-departure rule individual juveniles should use (Experiment 2); and how survivorship predictions differ between this explicit, spatially heterogeneous model and a similar, spatially homogeneous model (Experiment 3). 5. Experiment 1 showed that predator distribution, juvenile number, zooplankton density and cell-departure rule had important effects on cohort survivorship. Experiment 2 showed that no single cell-departure rule was consistently the evolutionarily stable strategy (ESS), and that survivorship of cohorts using the ESS cell-departure rule(s) was lower than that of cohorts using the cell-departure rule with the highest single-year survivorship. Experiment 3 showed that density effects on juvenile survivorship can be much greater in a spatially explicit model, with individuals using fitness-based cell-departure rules than in an analogous, spatially homogeneous model. 6. The results of this work indicate that the cell-departure rule used by individuals can have an important effect on cohort survivorship. In addition, none of the state-and time-independent cell-departure rules investigated was an ESS, suggesting that such static rules may not be an appropriate mechanism for modelling individual habitat selection
doi_str_mv 10.2307/5970
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_15904857</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>5970</jstor_id><sourcerecordid>5970</sourcerecordid><originalsourceid>FETCH-LOGICAL-c246t-fa96e112249e2bba455281bf7c87a1eca722a50b748898a9d89e554bf4781ff73</originalsourceid><addsrcrecordid>eNpt0FFPwjAQB_DGaCKC36FG49u07da19Y0QEBKND-rzchstlIwW243It3eA0cT4dA_3u8vdH6EBJXcsJeKeK0FOUI-mOU9YzvNT1COE0UQKRc7RRYwrQohgJO2hz7Exumoi9gbP3Nxu7byFGk-htA00-FXXXdd6h63DgKe60cEvtNO-jXjstjZ4t9auwZ2Y2LjEI7_0oZtrw9ZufYhLu3nAQ_zs57qurVvgoYN6F20coDMDddSX37WP3ifjt9E0eXp5nI2GT0nFsrxJDKhcU8pYpjQrS8g4Z5KWRlRSANUVCMaAk1JkUioJai6V5jwrTSYkNUakfXR73LsJ_qPVsSnWNlbdMXB4oqBckUzyPbz-A1e-Dd21ncllqnKZH9TNUVXBxxi0KTbBriHsCkqKffjFPvxftoFYQW0CuMrGH8u47OLPOnZ1ZKvY-PD_qi-GQo15</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1683968657</pqid></control><display><type>article</type><title>Effects of Individual Habitat Selection in a Heterogeneous Environment on Fish Cohort Survivorship: A Modelling Analysis</title><source>Periodicals Index Online</source><source>Jstor Complete Legacy</source><creator>Tyler, Jeffrey A. ; Rose, Kenneth A.</creator><creatorcontrib>Tyler, Jeffrey A. ; Rose, Kenneth A.</creatorcontrib><description>1. This work investigates how cohort survivorship predictions are affected by the rules used for moving individuals between habitats in a variety of prey and predator environments. 2. We present an individual-based simulation model of the survival of a juvenile, planktivorous fish cohort over the growing season in a spatially explicit environment. The model represents the environment as a 10 X 10 grid of cells (habitats) that can vary in food density and predator number. 3. Juvenile fish begin with identical characteristics, then grow, move between cells, and die based on their individual experiences. Juveniles use one of four moving-between-cell (cell-departure) rules: random, maximize growth, minimize mortality risk, and minimize the ratio of mortality risk to growth. The model includes size-dependent rules for juvenile consumption, encounters between juveniles and predators, and juvenile death. Predators have three different distributions: uncorrelated, correlated with zooplankton, and correlated with juveniles. 4. Three simulation experiments were conducted to address how cohort survivorship is affected by the environment's spatial heterogeneity, the cell-departure rule of juveniles, and the initial cohort number (Experiment 1); which cell-departure rule individual juveniles should use (Experiment 2); and how survivorship predictions differ between this explicit, spatially heterogeneous model and a similar, spatially homogeneous model (Experiment 3). 5. Experiment 1 showed that predator distribution, juvenile number, zooplankton density and cell-departure rule had important effects on cohort survivorship. Experiment 2 showed that no single cell-departure rule was consistently the evolutionarily stable strategy (ESS), and that survivorship of cohorts using the ESS cell-departure rule(s) was lower than that of cohorts using the cell-departure rule with the highest single-year survivorship. Experiment 3 showed that density effects on juvenile survivorship can be much greater in a spatially explicit model, with individuals using fitness-based cell-departure rules than in an analogous, spatially homogeneous model. 6. The results of this work indicate that the cell-departure rule used by individuals can have an important effect on cohort survivorship. In addition, none of the state-and time-independent cell-departure rules investigated was an ESS, suggesting that such static rules may not be an appropriate mechanism for modelling individual habitat selection in a dynamic environment.</description><identifier>ISSN: 0021-8790</identifier><identifier>EISSN: 1365-2656</identifier><identifier>DOI: 10.2307/5970</identifier><identifier>CODEN: JAECAP</identifier><language>eng</language><publisher>Oxford: British Ecological Society</publisher><subject>Animal ecology ; Animal, plant and microbial ecology ; Biological and medical sciences ; Ecological modeling ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Habitat selection ; Methods and techniques (sampling, tagging, trapping, modelling...) ; Modeling ; Mortality ; Natural selection ; Pisces ; Predators ; Spatial models ; Young animals ; Zooplankton</subject><ispartof>The Journal of animal ecology, 1997-01, Vol.66 (1), p.122-136</ispartof><rights>Copyright 1997 British Ecological Society</rights><rights>1997 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c246t-fa96e112249e2bba455281bf7c87a1eca722a50b748898a9d89e554bf4781ff73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/5970$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/5970$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,777,781,800,4010,27850,27904,27905,27906,57998,58231</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=2587204$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Tyler, Jeffrey A.</creatorcontrib><creatorcontrib>Rose, Kenneth A.</creatorcontrib><title>Effects of Individual Habitat Selection in a Heterogeneous Environment on Fish Cohort Survivorship: A Modelling Analysis</title><title>The Journal of animal ecology</title><description>1. This work investigates how cohort survivorship predictions are affected by the rules used for moving individuals between habitats in a variety of prey and predator environments. 2. We present an individual-based simulation model of the survival of a juvenile, planktivorous fish cohort over the growing season in a spatially explicit environment. The model represents the environment as a 10 X 10 grid of cells (habitats) that can vary in food density and predator number. 3. Juvenile fish begin with identical characteristics, then grow, move between cells, and die based on their individual experiences. Juveniles use one of four moving-between-cell (cell-departure) rules: random, maximize growth, minimize mortality risk, and minimize the ratio of mortality risk to growth. The model includes size-dependent rules for juvenile consumption, encounters between juveniles and predators, and juvenile death. Predators have three different distributions: uncorrelated, correlated with zooplankton, and correlated with juveniles. 4. Three simulation experiments were conducted to address how cohort survivorship is affected by the environment's spatial heterogeneity, the cell-departure rule of juveniles, and the initial cohort number (Experiment 1); which cell-departure rule individual juveniles should use (Experiment 2); and how survivorship predictions differ between this explicit, spatially heterogeneous model and a similar, spatially homogeneous model (Experiment 3). 5. Experiment 1 showed that predator distribution, juvenile number, zooplankton density and cell-departure rule had important effects on cohort survivorship. Experiment 2 showed that no single cell-departure rule was consistently the evolutionarily stable strategy (ESS), and that survivorship of cohorts using the ESS cell-departure rule(s) was lower than that of cohorts using the cell-departure rule with the highest single-year survivorship. Experiment 3 showed that density effects on juvenile survivorship can be much greater in a spatially explicit model, with individuals using fitness-based cell-departure rules than in an analogous, spatially homogeneous model. 6. The results of this work indicate that the cell-departure rule used by individuals can have an important effect on cohort survivorship. In addition, none of the state-and time-independent cell-departure rules investigated was an ESS, suggesting that such static rules may not be an appropriate mechanism for modelling individual habitat selection in a dynamic environment.</description><subject>Animal ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Ecological modeling</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Habitat selection</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Modeling</subject><subject>Mortality</subject><subject>Natural selection</subject><subject>Pisces</subject><subject>Predators</subject><subject>Spatial models</subject><subject>Young animals</subject><subject>Zooplankton</subject><issn>0021-8790</issn><issn>1365-2656</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNpt0FFPwjAQB_DGaCKC36FG49u07da19Y0QEBKND-rzchstlIwW243It3eA0cT4dA_3u8vdH6EBJXcsJeKeK0FOUI-mOU9YzvNT1COE0UQKRc7RRYwrQohgJO2hz7Exumoi9gbP3Nxu7byFGk-htA00-FXXXdd6h63DgKe60cEvtNO-jXjstjZ4t9auwZ2Y2LjEI7_0oZtrw9ZufYhLu3nAQ_zs57qurVvgoYN6F20coDMDddSX37WP3ifjt9E0eXp5nI2GT0nFsrxJDKhcU8pYpjQrS8g4Z5KWRlRSANUVCMaAk1JkUioJai6V5jwrTSYkNUakfXR73LsJ_qPVsSnWNlbdMXB4oqBckUzyPbz-A1e-Dd21ncllqnKZH9TNUVXBxxi0KTbBriHsCkqKffjFPvxftoFYQW0CuMrGH8u47OLPOnZ1ZKvY-PD_qi-GQo15</recordid><startdate>19970101</startdate><enddate>19970101</enddate><creator>Tyler, Jeffrey A.</creator><creator>Rose, Kenneth A.</creator><general>British Ecological Society</general><general>Blackwell</general><general>Blackwell Scientific Publications</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>HFIND</scope><scope>HZAIM</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7SN</scope><scope>C1K</scope></search><sort><creationdate>19970101</creationdate><title>Effects of Individual Habitat Selection in a Heterogeneous Environment on Fish Cohort Survivorship: A Modelling Analysis</title><author>Tyler, Jeffrey A. ; Rose, Kenneth A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c246t-fa96e112249e2bba455281bf7c87a1eca722a50b748898a9d89e554bf4781ff73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Animal ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Ecological modeling</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Habitat selection</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Modeling</topic><topic>Mortality</topic><topic>Natural selection</topic><topic>Pisces</topic><topic>Predators</topic><topic>Spatial models</topic><topic>Young animals</topic><topic>Zooplankton</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tyler, Jeffrey A.</creatorcontrib><creatorcontrib>Rose, Kenneth A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 16</collection><collection>Periodicals Index Online Segment 26</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access &amp; Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access &amp; Build (Plan A) - APAC</collection><collection>Primary Sources Access &amp; Build (Plan A) - Canada</collection><collection>Primary Sources Access &amp; Build (Plan A) - West</collection><collection>Primary Sources Access &amp; Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access &amp; Build (Plan A) - Midwest</collection><collection>Primary Sources Access &amp; Build (Plan A) - North Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - Northeast</collection><collection>Primary Sources Access &amp; Build (Plan A) - South Central</collection><collection>Primary Sources Access &amp; Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>The Journal of animal ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tyler, Jeffrey A.</au><au>Rose, Kenneth A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Individual Habitat Selection in a Heterogeneous Environment on Fish Cohort Survivorship: A Modelling Analysis</atitle><jtitle>The Journal of animal ecology</jtitle><date>1997-01-01</date><risdate>1997</risdate><volume>66</volume><issue>1</issue><spage>122</spage><epage>136</epage><pages>122-136</pages><issn>0021-8790</issn><eissn>1365-2656</eissn><coden>JAECAP</coden><abstract>1. This work investigates how cohort survivorship predictions are affected by the rules used for moving individuals between habitats in a variety of prey and predator environments. 2. We present an individual-based simulation model of the survival of a juvenile, planktivorous fish cohort over the growing season in a spatially explicit environment. The model represents the environment as a 10 X 10 grid of cells (habitats) that can vary in food density and predator number. 3. Juvenile fish begin with identical characteristics, then grow, move between cells, and die based on their individual experiences. Juveniles use one of four moving-between-cell (cell-departure) rules: random, maximize growth, minimize mortality risk, and minimize the ratio of mortality risk to growth. The model includes size-dependent rules for juvenile consumption, encounters between juveniles and predators, and juvenile death. Predators have three different distributions: uncorrelated, correlated with zooplankton, and correlated with juveniles. 4. Three simulation experiments were conducted to address how cohort survivorship is affected by the environment's spatial heterogeneity, the cell-departure rule of juveniles, and the initial cohort number (Experiment 1); which cell-departure rule individual juveniles should use (Experiment 2); and how survivorship predictions differ between this explicit, spatially heterogeneous model and a similar, spatially homogeneous model (Experiment 3). 5. Experiment 1 showed that predator distribution, juvenile number, zooplankton density and cell-departure rule had important effects on cohort survivorship. Experiment 2 showed that no single cell-departure rule was consistently the evolutionarily stable strategy (ESS), and that survivorship of cohorts using the ESS cell-departure rule(s) was lower than that of cohorts using the cell-departure rule with the highest single-year survivorship. Experiment 3 showed that density effects on juvenile survivorship can be much greater in a spatially explicit model, with individuals using fitness-based cell-departure rules than in an analogous, spatially homogeneous model. 6. The results of this work indicate that the cell-departure rule used by individuals can have an important effect on cohort survivorship. In addition, none of the state-and time-independent cell-departure rules investigated was an ESS, suggesting that such static rules may not be an appropriate mechanism for modelling individual habitat selection in a dynamic environment.</abstract><cop>Oxford</cop><pub>British Ecological Society</pub><doi>10.2307/5970</doi><tpages>15</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0021-8790
ispartof The Journal of animal ecology, 1997-01, Vol.66 (1), p.122-136
issn 0021-8790
1365-2656
language eng
recordid cdi_proquest_miscellaneous_15904857
source Periodicals Index Online; Jstor Complete Legacy
subjects Animal ecology
Animal, plant and microbial ecology
Biological and medical sciences
Ecological modeling
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Habitat selection
Methods and techniques (sampling, tagging, trapping, modelling...)
Modeling
Mortality
Natural selection
Pisces
Predators
Spatial models
Young animals
Zooplankton
title Effects of Individual Habitat Selection in a Heterogeneous Environment on Fish Cohort Survivorship: A Modelling Analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T17%3A03%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Effects%20of%20Individual%20Habitat%20Selection%20in%20a%20Heterogeneous%20Environment%20on%20Fish%20Cohort%20Survivorship:%20A%20Modelling%20Analysis&rft.jtitle=The%20Journal%20of%20animal%20ecology&rft.au=Tyler,%20Jeffrey%20A.&rft.date=1997-01-01&rft.volume=66&rft.issue=1&rft.spage=122&rft.epage=136&rft.pages=122-136&rft.issn=0021-8790&rft.eissn=1365-2656&rft.coden=JAECAP&rft_id=info:doi/10.2307/5970&rft_dat=%3Cjstor_proqu%3E5970%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1683968657&rft_id=info:pmid/&rft_jstor_id=5970&rfr_iscdi=true