Loading…

Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles

Two or more competing predators can coexist using a single homogeneous prey species if the system containing all three undergoes internally generated fluctuations in density. However, the dynamics of species that coexist via this mechanism have not been extensively explored. Here, we examine both th...

Full description

Saved in:
Bibliographic Details
Published in:Theoretical population biology 2003-09, Vol.64 (2), p.163-176
Main Authors: Abrams, Peter A, Brassil, Chad E, Holt, Robert D
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3
cites cdi_FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3
container_end_page 176
container_issue 2
container_start_page 163
container_title Theoretical population biology
container_volume 64
creator Abrams, Peter A
Brassil, Chad E
Holt, Robert D
description Two or more competing predators can coexist using a single homogeneous prey species if the system containing all three undergoes internally generated fluctuations in density. However, the dynamics of species that coexist via this mechanism have not been extensively explored. Here, we examine both the nature of the dynamics and the responses of the mean densities of each predator to mortality imposed upon it or its competitor. The analysis of dynamics uncovers several previously undescribed behaviors for this model, including chaotic fluctuations, and long-term transients that differ significantly from the ultimate patterns of fluctuations. The limiting dynamics of the system can be loosely classified as synchronous cycles, asynchronous cycles, and chaotic dynamics. Synchronous cycles are simple limit cycles with highly positively correlated densities of the two predator species. Asynchronous cycles are limit cycles, frequently of complex form, including a significant period during which prey density is nearly constant while one predator gradually, monotonically replaces the other. Chaotic dynamics are aperiodic and generally have intermediate correlations between predator densities. Continuous changes in density-independent mortality rates often lead to abrupt transitions in mean population sizes, and increases in the mortality rate of one predator may decrease the population size of the competing predator. Similarly, increases in the immigration rate of one predator may decrease its own density and increase the density of the other predator. Proportional changes in one predator's birth and death rate functions can have significant effects on the dynamics and mean densities of both predator species. All of these responses to environmental change differ from those observed when competitors coexist stably as the result of resource (prey) partitioning. The patterns described here occur in many other competition models in which there are cycles and differences in the linearity of the responses of consumers to their resources.
doi_str_mv 10.1016/S0040-5809(03)00067-4
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_73609016</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0040580903000674</els_id><sourcerecordid>18941345</sourcerecordid><originalsourceid>FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3</originalsourceid><addsrcrecordid>eNqFkc1O3TAQhS1UVC60j0DlVVUWgfGNncQrVFH-JCQWbdeWY0-QqyQOti9Sdn0H3pAnwfdHLTtWczT6zox0DiHHDE4ZsOrsJwCHQjQgv0F5AgBVXfA9smAgqwLKpfhAFv-QA3IY458MNawsP5IDtpS8qepmQdof86gHZyLVo6UB4-THiJEmTwcfku5dmmnQKa98R40fJkxufKBTQKuTD5GuRovhwb9dvvx9znKmZjY9xk9kv9N9xM-7eUR-X13-urgp7u6vby--3xVGgEgFGuAGhZWWCcyy6qQw2mgLjIu65rK1QnIpUTDWQgbtUnSgq64xoratLo_I1-3dKfjHFcakBhcN9r0e0a-iqssKZI7uXZA1krOSiwyKLWiCjzFgp6bgBh1mxUCtW1CbFtQ6YgWl2rSgePZ92T1YtQPa_65d7Bk43wKY83hyGFQ0DkeD1gU0SVnv3nnxCoUjmjw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>18941345</pqid></control><display><type>article</type><title>Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles</title><source>Elsevier</source><creator>Abrams, Peter A ; Brassil, Chad E ; Holt, Robert D</creator><creatorcontrib>Abrams, Peter A ; Brassil, Chad E ; Holt, Robert D</creatorcontrib><description>Two or more competing predators can coexist using a single homogeneous prey species if the system containing all three undergoes internally generated fluctuations in density. However, the dynamics of species that coexist via this mechanism have not been extensively explored. Here, we examine both the nature of the dynamics and the responses of the mean densities of each predator to mortality imposed upon it or its competitor. The analysis of dynamics uncovers several previously undescribed behaviors for this model, including chaotic fluctuations, and long-term transients that differ significantly from the ultimate patterns of fluctuations. The limiting dynamics of the system can be loosely classified as synchronous cycles, asynchronous cycles, and chaotic dynamics. Synchronous cycles are simple limit cycles with highly positively correlated densities of the two predator species. Asynchronous cycles are limit cycles, frequently of complex form, including a significant period during which prey density is nearly constant while one predator gradually, monotonically replaces the other. Chaotic dynamics are aperiodic and generally have intermediate correlations between predator densities. Continuous changes in density-independent mortality rates often lead to abrupt transitions in mean population sizes, and increases in the mortality rate of one predator may decrease the population size of the competing predator. Similarly, increases in the immigration rate of one predator may decrease its own density and increase the density of the other predator. Proportional changes in one predator's birth and death rate functions can have significant effects on the dynamics and mean densities of both predator species. All of these responses to environmental change differ from those observed when competitors coexist stably as the result of resource (prey) partitioning. The patterns described here occur in many other competition models in which there are cycles and differences in the linearity of the responses of consumers to their resources.</description><identifier>ISSN: 0040-5809</identifier><identifier>EISSN: 1096-0325</identifier><identifier>DOI: 10.1016/S0040-5809(03)00067-4</identifier><identifier>PMID: 12948678</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; Behavior, Animal ; Competitive Behavior ; Ecosystem ; Models, Biological ; Mortality ; Nonlinear Dynamics ; Population Density ; Population Dynamics ; Predatory Behavior ; Spatial Behavior</subject><ispartof>Theoretical population biology, 2003-09, Vol.64 (2), p.163-176</ispartof><rights>2003 Elsevier Science (USA)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3</citedby><cites>FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12948678$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abrams, Peter A</creatorcontrib><creatorcontrib>Brassil, Chad E</creatorcontrib><creatorcontrib>Holt, Robert D</creatorcontrib><title>Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles</title><title>Theoretical population biology</title><addtitle>Theor Popul Biol</addtitle><description>Two or more competing predators can coexist using a single homogeneous prey species if the system containing all three undergoes internally generated fluctuations in density. However, the dynamics of species that coexist via this mechanism have not been extensively explored. Here, we examine both the nature of the dynamics and the responses of the mean densities of each predator to mortality imposed upon it or its competitor. The analysis of dynamics uncovers several previously undescribed behaviors for this model, including chaotic fluctuations, and long-term transients that differ significantly from the ultimate patterns of fluctuations. The limiting dynamics of the system can be loosely classified as synchronous cycles, asynchronous cycles, and chaotic dynamics. Synchronous cycles are simple limit cycles with highly positively correlated densities of the two predator species. Asynchronous cycles are limit cycles, frequently of complex form, including a significant period during which prey density is nearly constant while one predator gradually, monotonically replaces the other. Chaotic dynamics are aperiodic and generally have intermediate correlations between predator densities. Continuous changes in density-independent mortality rates often lead to abrupt transitions in mean population sizes, and increases in the mortality rate of one predator may decrease the population size of the competing predator. Similarly, increases in the immigration rate of one predator may decrease its own density and increase the density of the other predator. Proportional changes in one predator's birth and death rate functions can have significant effects on the dynamics and mean densities of both predator species. All of these responses to environmental change differ from those observed when competitors coexist stably as the result of resource (prey) partitioning. The patterns described here occur in many other competition models in which there are cycles and differences in the linearity of the responses of consumers to their resources.</description><subject>Animals</subject><subject>Behavior, Animal</subject><subject>Competitive Behavior</subject><subject>Ecosystem</subject><subject>Models, Biological</subject><subject>Mortality</subject><subject>Nonlinear Dynamics</subject><subject>Population Density</subject><subject>Population Dynamics</subject><subject>Predatory Behavior</subject><subject>Spatial Behavior</subject><issn>0040-5809</issn><issn>1096-0325</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqFkc1O3TAQhS1UVC60j0DlVVUWgfGNncQrVFH-JCQWbdeWY0-QqyQOti9Sdn0H3pAnwfdHLTtWczT6zox0DiHHDE4ZsOrsJwCHQjQgv0F5AgBVXfA9smAgqwLKpfhAFv-QA3IY458MNawsP5IDtpS8qepmQdof86gHZyLVo6UB4-THiJEmTwcfku5dmmnQKa98R40fJkxufKBTQKuTD5GuRovhwb9dvvx9znKmZjY9xk9kv9N9xM-7eUR-X13-urgp7u6vby--3xVGgEgFGuAGhZWWCcyy6qQw2mgLjIu65rK1QnIpUTDWQgbtUnSgq64xoratLo_I1-3dKfjHFcakBhcN9r0e0a-iqssKZI7uXZA1krOSiwyKLWiCjzFgp6bgBh1mxUCtW1CbFtQ6YgWl2rSgePZ92T1YtQPa_65d7Bk43wKY83hyGFQ0DkeD1gU0SVnv3nnxCoUjmjw</recordid><startdate>20030901</startdate><enddate>20030901</enddate><creator>Abrams, Peter A</creator><creator>Brassil, Chad E</creator><creator>Holt, Robert D</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>20030901</creationdate><title>Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles</title><author>Abrams, Peter A ; Brassil, Chad E ; Holt, Robert D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Animals</topic><topic>Behavior, Animal</topic><topic>Competitive Behavior</topic><topic>Ecosystem</topic><topic>Models, Biological</topic><topic>Mortality</topic><topic>Nonlinear Dynamics</topic><topic>Population Density</topic><topic>Population Dynamics</topic><topic>Predatory Behavior</topic><topic>Spatial Behavior</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abrams, Peter A</creatorcontrib><creatorcontrib>Brassil, Chad E</creatorcontrib><creatorcontrib>Holt, Robert D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Theoretical population biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abrams, Peter A</au><au>Brassil, Chad E</au><au>Holt, Robert D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles</atitle><jtitle>Theoretical population biology</jtitle><addtitle>Theor Popul Biol</addtitle><date>2003-09-01</date><risdate>2003</risdate><volume>64</volume><issue>2</issue><spage>163</spage><epage>176</epage><pages>163-176</pages><issn>0040-5809</issn><eissn>1096-0325</eissn><abstract>Two or more competing predators can coexist using a single homogeneous prey species if the system containing all three undergoes internally generated fluctuations in density. However, the dynamics of species that coexist via this mechanism have not been extensively explored. Here, we examine both the nature of the dynamics and the responses of the mean densities of each predator to mortality imposed upon it or its competitor. The analysis of dynamics uncovers several previously undescribed behaviors for this model, including chaotic fluctuations, and long-term transients that differ significantly from the ultimate patterns of fluctuations. The limiting dynamics of the system can be loosely classified as synchronous cycles, asynchronous cycles, and chaotic dynamics. Synchronous cycles are simple limit cycles with highly positively correlated densities of the two predator species. Asynchronous cycles are limit cycles, frequently of complex form, including a significant period during which prey density is nearly constant while one predator gradually, monotonically replaces the other. Chaotic dynamics are aperiodic and generally have intermediate correlations between predator densities. Continuous changes in density-independent mortality rates often lead to abrupt transitions in mean population sizes, and increases in the mortality rate of one predator may decrease the population size of the competing predator. Similarly, increases in the immigration rate of one predator may decrease its own density and increase the density of the other predator. Proportional changes in one predator's birth and death rate functions can have significant effects on the dynamics and mean densities of both predator species. All of these responses to environmental change differ from those observed when competitors coexist stably as the result of resource (prey) partitioning. The patterns described here occur in many other competition models in which there are cycles and differences in the linearity of the responses of consumers to their resources.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>12948678</pmid><doi>10.1016/S0040-5809(03)00067-4</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0040-5809
ispartof Theoretical population biology, 2003-09, Vol.64 (2), p.163-176
issn 0040-5809
1096-0325
language eng
recordid cdi_proquest_miscellaneous_73609016
source Elsevier
subjects Animals
Behavior, Animal
Competitive Behavior
Ecosystem
Models, Biological
Mortality
Nonlinear Dynamics
Population Density
Population Dynamics
Predatory Behavior
Spatial Behavior
title Dynamics and responses to mortality rates of competing predators undergoing predator–prey cycles
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T07%3A06%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dynamics%20and%20responses%20to%20mortality%20rates%20of%20competing%20predators%20undergoing%20predator%E2%80%93prey%20cycles&rft.jtitle=Theoretical%20population%20biology&rft.au=Abrams,%20Peter%20A&rft.date=2003-09-01&rft.volume=64&rft.issue=2&rft.spage=163&rft.epage=176&rft.pages=163-176&rft.issn=0040-5809&rft.eissn=1096-0325&rft_id=info:doi/10.1016/S0040-5809(03)00067-4&rft_dat=%3Cproquest_cross%3E18941345%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c505t-ec04ce5d9d15e04c6f95cacad01457749bd59499e511b0e5dd25f0a6f8c57dba3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=18941345&rft_id=info:pmid/12948678&rfr_iscdi=true