Loading…
A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models
There is rich literature on using continuous-time and discrete-time models for studying population dynamics of consumer-resource interactions. A key focus of this contribution is to systematically compare between the two modeling formalisms the stabilizing/destabilizing impacts of diverse ecological...
Saved in:
Published in: | PloS one 2022-04, Vol.17 (4), p.e0265825-e0265825 |
---|---|
Main Author: | |
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-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3 |
---|---|
cites | cdi_FETCH-LOGICAL-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3 |
container_end_page | e0265825 |
container_issue | 4 |
container_start_page | e0265825 |
container_title | PloS one |
container_volume | 17 |
creator | Singh, Abhyudai |
description | There is rich literature on using continuous-time and discrete-time models for studying population dynamics of consumer-resource interactions. A key focus of this contribution is to systematically compare between the two modeling formalisms the stabilizing/destabilizing impacts of diverse ecological processes that result in a density-dependent consumer attack rate. Inspired by the Nicholson-Bailey/Lotka-Volterra models in discrete-time/continuous-time, respectively, we consider host-parasitoid interactions with an arbitrary parasitoid attack rate that is a function of both the host/parasitoid population densities. Our analysis shows that a Type II functional response is stabilizing in both modeling frameworks only when combined with other mechanisms, such as mutual interference between parasitoids. A Type III functional response is by itself stabilizing, but the extent of attack-rate acceleration needed is much higher in the discrete-time framework, and its stability regime expands with increasing host reproduction. Finally, our results show that while mutual parasitoid interference can stabilize population dynamics, cooperation between parasitoids to handle hosts is destabilizing in both frameworks. In summary, our comparative analysis systematically characterizes diverse ecological processes driving stable population dynamics in discrete-time and continuous-time consumer-resource models. |
doi_str_mv | 10.1371/journal.pone.0265825 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2649552259</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A700233421</galeid><doaj_id>oai_doaj_org_article_a2f17eddc9744a6985abd816e17c80e4</doaj_id><sourcerecordid>A700233421</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3</originalsourceid><addsrcrecordid>eNqNk9lq3DAUhk1padK0b1BaQ6G0F55qsSX7pjCELgOBQLdbIUvHMxpsaSLJ6fL01WScMC65qHVhLd_5Jf1HJ8ueY7TAlON3Wzd6K_vFzllYIMKqmlQPslPcUFIwgujDo_5J9iSELUIVrRl7nJ3QqsQUMX6auWWu3LCTXkZzDbnc7byTapNHl4coW9ObP8au8wHURloThpC3EH8C2FyboDxEKHJpdRKx0djRjaGIZoD9OIwD-MJDSAdVkA9OQx-eZo862Qd4Nv3Psu8fP3w7_1xcXH5anS8vCsUaEgvOMekqronikLq6ZHXZEYY4a5uaobqlVYMIwh3hLSlrTmitoaVSM8lR12h6lr086O56F8TkVRCElU1VEVI1iVgdCO3kVuy8GaT_LZw04mbC-bWQPhrVg5Ckwxy0Vg0vS8maupKtrjEDzFWNoExa76fdxnYArcBGL_uZ6HzFmo1Yu2vRIFTyiiWBN5OAd1cjhCiGZC_0vbSQPL05d_pYXSX01T_o_bebqLVMFzC2c2lftRcVS44QobQkOFGLe6jUNAwmpRA6k-ZnAW9nAfu0w6-4lmMIYvX1y_-zlz_m7OsjdgOyj5vg-jGa9I7mYHkAlXcheOjuTMZI7Ovi1g2xrwsx1UUKe3GcoLug20KgfwGxewii</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2649552259</pqid></control><display><type>article</type><title>A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Singh, Abhyudai</creator><contributor>Faria, Lucas D. B.</contributor><creatorcontrib>Singh, Abhyudai ; Faria, Lucas D. B.</creatorcontrib><description>There is rich literature on using continuous-time and discrete-time models for studying population dynamics of consumer-resource interactions. A key focus of this contribution is to systematically compare between the two modeling formalisms the stabilizing/destabilizing impacts of diverse ecological processes that result in a density-dependent consumer attack rate. Inspired by the Nicholson-Bailey/Lotka-Volterra models in discrete-time/continuous-time, respectively, we consider host-parasitoid interactions with an arbitrary parasitoid attack rate that is a function of both the host/parasitoid population densities. Our analysis shows that a Type II functional response is stabilizing in both modeling frameworks only when combined with other mechanisms, such as mutual interference between parasitoids. A Type III functional response is by itself stabilizing, but the extent of attack-rate acceleration needed is much higher in the discrete-time framework, and its stability regime expands with increasing host reproduction. Finally, our results show that while mutual parasitoid interference can stabilize population dynamics, cooperation between parasitoids to handle hosts is destabilizing in both frameworks. In summary, our comparative analysis systematically characterizes diverse ecological processes driving stable population dynamics in discrete-time and continuous-time consumer-resource models.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0265825</identifier><identifier>PMID: 35413067</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Comparative analysis ; Computer and Information Sciences ; Consumers ; Cooperation ; Ecological effects ; Ecology and Environmental Sciences ; Economic aspects ; Equilibrium ; Host-Parasite Interactions ; Interference ; Marketing research ; Mechanism design (Economics) ; Medicine and Health Sciences ; Modelling ; Models, Biological ; Parasitoids ; Population ; Population Density ; Population Dynamics ; Reproduction ; Resource allocation ; Social aspects</subject><ispartof>PloS one, 2022-04, Vol.17 (4), p.e0265825-e0265825</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Abhyudai Singh. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Abhyudai Singh 2022 Abhyudai Singh</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3</citedby><cites>FETCH-LOGICAL-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3</cites><orcidid>0000-0002-1451-2838</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2649552259/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2649552259?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35413067$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Faria, Lucas D. B.</contributor><creatorcontrib>Singh, Abhyudai</creatorcontrib><title>A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>There is rich literature on using continuous-time and discrete-time models for studying population dynamics of consumer-resource interactions. A key focus of this contribution is to systematically compare between the two modeling formalisms the stabilizing/destabilizing impacts of diverse ecological processes that result in a density-dependent consumer attack rate. Inspired by the Nicholson-Bailey/Lotka-Volterra models in discrete-time/continuous-time, respectively, we consider host-parasitoid interactions with an arbitrary parasitoid attack rate that is a function of both the host/parasitoid population densities. Our analysis shows that a Type II functional response is stabilizing in both modeling frameworks only when combined with other mechanisms, such as mutual interference between parasitoids. A Type III functional response is by itself stabilizing, but the extent of attack-rate acceleration needed is much higher in the discrete-time framework, and its stability regime expands with increasing host reproduction. Finally, our results show that while mutual parasitoid interference can stabilize population dynamics, cooperation between parasitoids to handle hosts is destabilizing in both frameworks. In summary, our comparative analysis systematically characterizes diverse ecological processes driving stable population dynamics in discrete-time and continuous-time consumer-resource models.</description><subject>Biology and Life Sciences</subject><subject>Comparative analysis</subject><subject>Computer and Information Sciences</subject><subject>Consumers</subject><subject>Cooperation</subject><subject>Ecological effects</subject><subject>Ecology and Environmental Sciences</subject><subject>Economic aspects</subject><subject>Equilibrium</subject><subject>Host-Parasite Interactions</subject><subject>Interference</subject><subject>Marketing research</subject><subject>Mechanism design (Economics)</subject><subject>Medicine and Health Sciences</subject><subject>Modelling</subject><subject>Models, Biological</subject><subject>Parasitoids</subject><subject>Population</subject><subject>Population Density</subject><subject>Population Dynamics</subject><subject>Reproduction</subject><subject>Resource allocation</subject><subject>Social aspects</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9lq3DAUhk1padK0b1BaQ6G0F55qsSX7pjCELgOBQLdbIUvHMxpsaSLJ6fL01WScMC65qHVhLd_5Jf1HJ8ueY7TAlON3Wzd6K_vFzllYIMKqmlQPslPcUFIwgujDo_5J9iSELUIVrRl7nJ3QqsQUMX6auWWu3LCTXkZzDbnc7byTapNHl4coW9ObP8au8wHURloThpC3EH8C2FyboDxEKHJpdRKx0djRjaGIZoD9OIwD-MJDSAdVkA9OQx-eZo862Qd4Nv3Psu8fP3w7_1xcXH5anS8vCsUaEgvOMekqronikLq6ZHXZEYY4a5uaobqlVYMIwh3hLSlrTmitoaVSM8lR12h6lr086O56F8TkVRCElU1VEVI1iVgdCO3kVuy8GaT_LZw04mbC-bWQPhrVg5Ckwxy0Vg0vS8maupKtrjEDzFWNoExa76fdxnYArcBGL_uZ6HzFmo1Yu2vRIFTyiiWBN5OAd1cjhCiGZC_0vbSQPL05d_pYXSX01T_o_bebqLVMFzC2c2lftRcVS44QobQkOFGLe6jUNAwmpRA6k-ZnAW9nAfu0w6-4lmMIYvX1y_-zlz_m7OsjdgOyj5vg-jGa9I7mYHkAlXcheOjuTMZI7Ovi1g2xrwsx1UUKe3GcoLug20KgfwGxewii</recordid><startdate>20220412</startdate><enddate>20220412</enddate><creator>Singh, Abhyudai</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1451-2838</orcidid></search><sort><creationdate>20220412</creationdate><title>A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models</title><author>Singh, Abhyudai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biology and Life Sciences</topic><topic>Comparative analysis</topic><topic>Computer and Information Sciences</topic><topic>Consumers</topic><topic>Cooperation</topic><topic>Ecological effects</topic><topic>Ecology and Environmental Sciences</topic><topic>Economic aspects</topic><topic>Equilibrium</topic><topic>Host-Parasite Interactions</topic><topic>Interference</topic><topic>Marketing research</topic><topic>Mechanism design (Economics)</topic><topic>Medicine and Health Sciences</topic><topic>Modelling</topic><topic>Models, Biological</topic><topic>Parasitoids</topic><topic>Population</topic><topic>Population Density</topic><topic>Population Dynamics</topic><topic>Reproduction</topic><topic>Resource allocation</topic><topic>Social aspects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singh, Abhyudai</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singh, Abhyudai</au><au>Faria, Lucas D. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-04-12</date><risdate>2022</risdate><volume>17</volume><issue>4</issue><spage>e0265825</spage><epage>e0265825</epage><pages>e0265825-e0265825</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>There is rich literature on using continuous-time and discrete-time models for studying population dynamics of consumer-resource interactions. A key focus of this contribution is to systematically compare between the two modeling formalisms the stabilizing/destabilizing impacts of diverse ecological processes that result in a density-dependent consumer attack rate. Inspired by the Nicholson-Bailey/Lotka-Volterra models in discrete-time/continuous-time, respectively, we consider host-parasitoid interactions with an arbitrary parasitoid attack rate that is a function of both the host/parasitoid population densities. Our analysis shows that a Type II functional response is stabilizing in both modeling frameworks only when combined with other mechanisms, such as mutual interference between parasitoids. A Type III functional response is by itself stabilizing, but the extent of attack-rate acceleration needed is much higher in the discrete-time framework, and its stability regime expands with increasing host reproduction. Finally, our results show that while mutual parasitoid interference can stabilize population dynamics, cooperation between parasitoids to handle hosts is destabilizing in both frameworks. In summary, our comparative analysis systematically characterizes diverse ecological processes driving stable population dynamics in discrete-time and continuous-time consumer-resource models.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35413067</pmid><doi>10.1371/journal.pone.0265825</doi><tpages>e0265825</tpages><orcidid>https://orcid.org/0000-0002-1451-2838</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2022-04, Vol.17 (4), p.e0265825-e0265825 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2649552259 |
source | Publicly Available Content Database; PubMed Central |
subjects | Biology and Life Sciences Comparative analysis Computer and Information Sciences Consumers Cooperation Ecological effects Ecology and Environmental Sciences Economic aspects Equilibrium Host-Parasite Interactions Interference Marketing research Mechanism design (Economics) Medicine and Health Sciences Modelling Models, Biological Parasitoids Population Population Density Population Dynamics Reproduction Resource allocation Social aspects |
title | A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T18%3A57%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20comparative%20approach%20to%20stabilizing%20mechanisms%20between%20discrete-%20and%20continuous-time%20consumer-resource%20models&rft.jtitle=PloS%20one&rft.au=Singh,%20Abhyudai&rft.date=2022-04-12&rft.volume=17&rft.issue=4&rft.spage=e0265825&rft.epage=e0265825&rft.pages=e0265825-e0265825&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0265825&rft_dat=%3Cgale_plos_%3EA700233421%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-7712f57d2c7e712d4684f26076b98608b3590201f27b2487238deb3ad6a70f9d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2649552259&rft_id=info:pmid/35413067&rft_galeid=A700233421&rfr_iscdi=true |