Evolutionary Rescue in Structured Populations
Environmental change, if severe, can drive a population extinct unless the population succeeds in adapting to the new conditions. How likely is a population to win the race between population decline and adaptive evolution? Assuming that environmental degradation progresses across a habitat, we anal...
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Veröffentlicht in: | The American naturalist 2014-01, Vol.183 (1), p.E17-E35 |
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creator | Uecker, Hildegard Otto, Sarah P. Hermisson, Joachim |
description | Environmental change, if severe, can drive a population extinct unless the population succeeds in adapting to the new conditions. How likely is a population to win the race between population decline and adaptive evolution? Assuming that environmental degradation progresses across a habitat, we analyze the impact of several ecological factors on the probability of evolutionary rescue. Specifically, we study the influence of population structure and density-dependent competition as well as the speed and severity of environmental change. We also determine the relative contribution of standing genetic variation and new mutations to evolutionary rescue. To describe population structure, we use a generalized island model, where islands are affected by environmental deterioration one after the other. Our analysis is based on the mathematical theory of time-inhomogeneous branching processes and complemented by computer simulations. We find that in the interplay of various, partially antagonistic effects, the probability of evolutionary rescue can show nontrivial and unexpected dependence on ecological characteristics. In particular, we generally observe a nonmonotonic dependence on the migration rate between islands. Counterintuitively, under some circumstances, evolutionary rescue can occur more readily in the face of harsher environmental shifts, because of the reduced competition experienced by mutant individuals. Similarly, rescue sometimes occurs more readily when the entire habitat degrades rapidly, rather than progressively over time, particularly when migration is high and competition strong. |
doi_str_mv | 10.1086/673914 |
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Rice ; Troy Day</contributor><creatorcontrib>Uecker, Hildegard ; Otto, Sarah P. ; Hermisson, Joachim ; Sean H. Rice ; Troy Day</creatorcontrib><description>Environmental change, if severe, can drive a population extinct unless the population succeeds in adapting to the new conditions. How likely is a population to win the race between population decline and adaptive evolution? Assuming that environmental degradation progresses across a habitat, we analyze the impact of several ecological factors on the probability of evolutionary rescue. Specifically, we study the influence of population structure and density-dependent competition as well as the speed and severity of environmental change. We also determine the relative contribution of standing genetic variation and new mutations to evolutionary rescue. To describe population structure, we use a generalized island model, where islands are affected by environmental deterioration one after the other. 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Rice</contributor><contributor>Troy Day</contributor><creatorcontrib>Uecker, Hildegard</creatorcontrib><creatorcontrib>Otto, Sarah P.</creatorcontrib><creatorcontrib>Hermisson, Joachim</creatorcontrib><title>Evolutionary Rescue in Structured Populations</title><title>The American naturalist</title><addtitle>Am Nat</addtitle><description>Environmental change, if severe, can drive a population extinct unless the population succeeds in adapting to the new conditions. How likely is a population to win the race between population decline and adaptive evolution? Assuming that environmental degradation progresses across a habitat, we analyze the impact of several ecological factors on the probability of evolutionary rescue. Specifically, we study the influence of population structure and density-dependent competition as well as the speed and severity of environmental change. We also determine the relative contribution of standing genetic variation and new mutations to evolutionary rescue. To describe population structure, we use a generalized island model, where islands are affected by environmental deterioration one after the other. Our analysis is based on the mathematical theory of time-inhomogeneous branching processes and complemented by computer simulations. We find that in the interplay of various, partially antagonistic effects, the probability of evolutionary rescue can show nontrivial and unexpected dependence on ecological characteristics. In particular, we generally observe a nonmonotonic dependence on the migration rate between islands. Counterintuitively, under some circumstances, evolutionary rescue can occur more readily in the face of harsher environmental shifts, because of the reduced competition experienced by mutant individuals. Similarly, rescue sometimes occurs more readily when the entire habitat degrades rapidly, rather than progressively over time, particularly when migration is high and competition strong.</description><subject>Adaptation, Biological</subject><subject>Animal migration</subject><subject>Animal populations</subject><subject>Biological Evolution</subject><subject>Competition</subject><subject>Computer Simulation</subject><subject>E-Article</subject><subject>Ecological competition</subject><subject>Ecology</subject><subject>Environment</subject><subject>Evolution</subject><subject>Genetic mutation</subject><subject>Genetic Variation</subject><subject>Habitats</subject><subject>Human migration</subject><subject>Models, Biological</subject><subject>Mutation</subject><subject>Population Density</subject><subject>Population dynamics</subject><subject>Population ecology</subject><subject>Population size</subject><subject>Population structure</subject><issn>0003-0147</issn><issn>1537-5323</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0FtLwzAUB_AgiptTP4IUFNlLNffLo4x5gYHi5bm0aaod3VKTRvDbm7K5gSDsIYRwfpyc8wfgFMErBCW_5oIoRPfAEDEiUkYw2QdDCCFJIaJiAI68n8enooodggGmhFBB-RCk0y_bhK62y9x9J8_G62CSepm8dC7oLjhTJk-2DU3eE38MDqq88eZkfY_A2-30dXKfzh7vHiY3s1RTArtUVIVkjBhclJKXUmrNZWEqiLmAkohY0UiVBGPIoOJMFlJTwxSJJ88pxWQExqu-rbOfwfguW9Rem6bJl8YGnyGqMMcCYrIDFSLOonhPz__QuQ1uGRfpFVJIIs6iulwp7az3zlRZ6-pFTCdDMOuzzlZZR3i2bheKhSk37DfcCC5WIOiPWufvtnXG--2nmz7jHVjWltV2g7nvrPtvsB_XwZt-</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Uecker, Hildegard</creator><creator>Otto, Sarah P.</creator><creator>Hermisson, Joachim</creator><general>University of Chicago Press</general><general>University of Chicago, acting through its Press</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>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20140101</creationdate><title>Evolutionary Rescue in Structured Populations</title><author>Uecker, Hildegard ; Otto, Sarah P. ; Hermisson, Joachim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-7fb8553e2bd86d88cc68bef0267083753ec19d3220509658b8c4e593e59aa4423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adaptation, Biological</topic><topic>Animal migration</topic><topic>Animal populations</topic><topic>Biological Evolution</topic><topic>Competition</topic><topic>Computer Simulation</topic><topic>E-Article</topic><topic>Ecological competition</topic><topic>Ecology</topic><topic>Environment</topic><topic>Evolution</topic><topic>Genetic mutation</topic><topic>Genetic Variation</topic><topic>Habitats</topic><topic>Human migration</topic><topic>Models, Biological</topic><topic>Mutation</topic><topic>Population Density</topic><topic>Population dynamics</topic><topic>Population ecology</topic><topic>Population size</topic><topic>Population structure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uecker, Hildegard</creatorcontrib><creatorcontrib>Otto, Sarah P.</creatorcontrib><creatorcontrib>Hermisson, Joachim</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The American naturalist</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uecker, Hildegard</au><au>Otto, Sarah P.</au><au>Hermisson, Joachim</au><au>Sean H. Rice</au><au>Troy Day</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evolutionary Rescue in Structured Populations</atitle><jtitle>The American naturalist</jtitle><addtitle>Am Nat</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>183</volume><issue>1</issue><spage>E17</spage><epage>E35</epage><pages>E17-E35</pages><issn>0003-0147</issn><eissn>1537-5323</eissn><coden>AMNTA4</coden><abstract>Environmental change, if severe, can drive a population extinct unless the population succeeds in adapting to the new conditions. How likely is a population to win the race between population decline and adaptive evolution? Assuming that environmental degradation progresses across a habitat, we analyze the impact of several ecological factors on the probability of evolutionary rescue. Specifically, we study the influence of population structure and density-dependent competition as well as the speed and severity of environmental change. We also determine the relative contribution of standing genetic variation and new mutations to evolutionary rescue. To describe population structure, we use a generalized island model, where islands are affected by environmental deterioration one after the other. Our analysis is based on the mathematical theory of time-inhomogeneous branching processes and complemented by computer simulations. We find that in the interplay of various, partially antagonistic effects, the probability of evolutionary rescue can show nontrivial and unexpected dependence on ecological characteristics. In particular, we generally observe a nonmonotonic dependence on the migration rate between islands. Counterintuitively, under some circumstances, evolutionary rescue can occur more readily in the face of harsher environmental shifts, because of the reduced competition experienced by mutant individuals. Similarly, rescue sometimes occurs more readily when the entire habitat degrades rapidly, rather than progressively over time, particularly when migration is high and competition strong.</abstract><cop>United States</cop><pub>University of Chicago Press</pub><pmid>24334746</pmid><doi>10.1086/673914</doi></addata></record> |
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subjects | Adaptation, Biological Animal migration Animal populations Biological Evolution Competition Computer Simulation E-Article Ecological competition Ecology Environment Evolution Genetic mutation Genetic Variation Habitats Human migration Models, Biological Mutation Population Density Population dynamics Population ecology Population size Population structure |
title | Evolutionary Rescue in Structured Populations |
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