Robust optimal observation of a metapopulation
We consider a two-parameter continuous-time Markovian model for patch occupancy in metapopulation, and address the question of when to observe the population in order to obtain the most accurate and precise estimator of the parameters. Using the likelihood obtained from a diffusion approximation we...
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| Veröffentlicht in: | Ecological modelling 2010-10, Vol.221 (21), p.2521-2525 |
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| container_title | Ecological modelling |
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| creator | Pagendam, D.E. Pollett, P.K. |
| description | We consider a two-parameter continuous-time Markovian model for patch occupancy in metapopulation, and address the question of when to observe the population in order to obtain the most accurate and precise estimator of the parameters. Using the likelihood obtained from a diffusion approximation we derive a robust procedure for determining the optimal observation schedule, which is considerably simpler than would otherwise be possible. We investigate the performance of two optimality criteria, ED-optimality and a particular form of maximin-optimality. Both allow one to incorporate prior belief about the parameter values before any data is collected. Kernel density estimates of the maximum likelihood estimator are compared under the various combinations of optimality criteria and prior distributions. Our methods are illustrated with reference to a model for the spread of crown of thorns starfish (
Acanthaster planci) among the 55 islands comprising the Ryukyu group in Japan. |
| doi_str_mv | 10.1016/j.ecolmodel.2010.02.018 |
| format | Article |
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Techniques</subject><subject>Islands</subject><subject>Marine</subject><subject>Markov process</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Metapopulation</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Optimal observation</subject><subject>Optimality criteria</subject><subject>Optimization</subject><subject>Spreads</subject><issn>0304-3800</issn><issn>1872-7026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouK7-BnsRvbROkrZpj4v4BQuC6Dmk6RSypE1N2gX_vVl32aOeBl6emZd5CLmmkFGg5f0mQ-1s71q0GYOYAsuAVidkQSvBUgGsPCUL4JCnvAI4JxchbACAsootSPbumjlMiRsn0yubuCag36rJuCFxXaKSHic1unG2v9klOeuUDXh1mEvy-fT48fCSrt-eXx9W61TnRT2lLVWqKQDbJi86jUypnOV11SooaI0lMiqKhtUdQCkaXnPKVV1FBCsQXak5X5Lb_d3Ru68ZwyR7EzRaqwZ0c5AivsbjkSKSd3-StMwZByjYDhV7VHsXgsdOjj4-7b8lBblzKTfy6FLuXEpgMrqMmzeHEhW0sp1XgzbhuM44K7moaeRWew6jm61BL4M2OGhsjUc9ydaZf7t-AFR3jQE</recordid><startdate>20101024</startdate><enddate>20101024</enddate><creator>Pagendam, D.E.</creator><creator>Pollett, P.K.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7SN</scope><scope>7ST</scope><scope>7TN</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>20101024</creationdate><title>Robust optimal observation of a metapopulation</title><author>Pagendam, D.E. ; Pollett, P.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-d1aab50edb45fce2aa42498da0519e6e2175b29f0067b39313a98424e807f6c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acanthaster planci</topic><topic>Animal, plant and microbial ecology</topic><topic>Approximation</topic><topic>Asteroidea</topic><topic>Biological and medical sciences</topic><topic>Density</topic><topic>Fundamental and applied biological sciences. 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| ispartof | Ecological modelling, 2010-10, Vol.221 (21), p.2521-2525 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Acanthaster planci Animal, plant and microbial ecology Approximation Asteroidea Biological and medical sciences Density Fundamental and applied biological sciences. Psychology General aspects. Techniques Islands Marine Markov process Mathematical analysis Mathematical models Metapopulation Methods and techniques (sampling, tagging, trapping, modelling...) Optimal observation Optimality criteria Optimization Spreads |
| title | Robust optimal observation of a metapopulation |
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