Critical biodiversity and connectivity
This article explores the concept of connectivity and biodiversity by using a simple model of an ecosystem. The model is different from standard artificial life systems since there is no attempt to solve a particular problem, nor is there competition between individuals that drives a coevolution and...
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creator | Whigham, P.A. |
description | This article explores the concept of connectivity and biodiversity by using a simple model of an ecosystem. The model is different from standard artificial life systems since there is no attempt to solve a particular problem, nor is there competition between individuals that drives a coevolution and fitness. Fitness gradually increases throughout the simulation, and mutation rate varies based on population size. Additionally, the system is run with a low mutation rate aiming to produce steady-state behaviour. A simple niche structure at every site allows concepts such as keystone species to be defined, and allows an exploration of diversity and extinction. The article addresses two main issues with this model: does altering the connectivity of neighbourhoods affect the critical point and stability of an ecosystem, and are species-area relationships determined by connectivity?. |
doi_str_mv | 10.1109/CEC.2003.1299383 |
format | Conference Proceeding |
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The model is different from standard artificial life systems since there is no attempt to solve a particular problem, nor is there competition between individuals that drives a coevolution and fitness. Fitness gradually increases throughout the simulation, and mutation rate varies based on population size. Additionally, the system is run with a low mutation rate aiming to produce steady-state behaviour. A simple niche structure at every site allows concepts such as keystone species to be defined, and allows an exploration of diversity and extinction. The article addresses two main issues with this model: does altering the connectivity of neighbourhoods affect the critical point and stability of an ecosystem, and are species-area relationships determined by connectivity?.</description><subject>Biodiversity</subject><subject>Biological system modeling</subject><subject>Biological systems</subject><subject>DNA</subject><subject>Ecosystems</subject><subject>Genetic mutations</subject><subject>Information science</subject><subject>Large-scale systems</subject><subject>Stability</subject><subject>Steady-state</subject><isbn>0780378040</isbn><isbn>9780780378049</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj01LAzEURQMiqLV7wc2s3M348vmSpYRqhYIbXZdk8gJP6lRmhkL_vQP2wOXCWVy4QjxI6KSE8Bw3sVMAupMqBO31lbgD9KCXGLgR62n6hgVjdbB4K57iyDP36dBkPhY-0TjxfG7SUJr-OAzUz3xaxL24rukw0frSK_H1uvmM23b38fYeX3YtS7Rzi84E8jZ4acmHopMtULKyWHJ16ELNVFWmJBUiuVIBc6guG2dqWpB6JR7_d5mI9r8j_6TxvL9c0X_Pxj7z</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Whigham, P.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2003</creationdate><title>Critical biodiversity and connectivity</title><author>Whigham, P.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-7649e859815e89d3a5d0db257dbf6769fbef2bea1277e6df07b9f6b464faaaa13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Biodiversity</topic><topic>Biological system modeling</topic><topic>Biological systems</topic><topic>DNA</topic><topic>Ecosystems</topic><topic>Genetic mutations</topic><topic>Information science</topic><topic>Large-scale systems</topic><topic>Stability</topic><topic>Steady-state</topic><toplevel>online_resources</toplevel><creatorcontrib>Whigham, P.A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Whigham, P.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Critical biodiversity and connectivity</atitle><btitle>The 2003 Congress on Evolutionary Computation, 2003. CEC '03</btitle><stitle>CEC</stitle><date>2003</date><risdate>2003</risdate><volume>4</volume><spage>2362</spage><epage>2369 Vol.4</epage><pages>2362-2369 Vol.4</pages><isbn>0780378040</isbn><isbn>9780780378049</isbn><abstract>This article explores the concept of connectivity and biodiversity by using a simple model of an ecosystem. The model is different from standard artificial life systems since there is no attempt to solve a particular problem, nor is there competition between individuals that drives a coevolution and fitness. Fitness gradually increases throughout the simulation, and mutation rate varies based on population size. Additionally, the system is run with a low mutation rate aiming to produce steady-state behaviour. A simple niche structure at every site allows concepts such as keystone species to be defined, and allows an exploration of diversity and extinction. The article addresses two main issues with this model: does altering the connectivity of neighbourhoods affect the critical point and stability of an ecosystem, and are species-area relationships determined by connectivity?.</abstract><pub>IEEE</pub><doi>10.1109/CEC.2003.1299383</doi></addata></record> |
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subjects | Biodiversity Biological system modeling Biological systems DNA Ecosystems Genetic mutations Information science Large-scale systems Stability Steady-state |
title | Critical biodiversity and connectivity |
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