Small population effects in stochastic population dynamics
The discreteness of units of small populations can produce large fluctuations from a classical continuous representation, especially when null populations play a crucial role. These belong to what are here referred to as emergent and evanescent species. A few model biological systems are introduced...
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Published in | Bulletin of mathematical biology Vol. 67; no. 6; pp. 1173 - 1194 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
01.11.2005
Springer Nature B.V |
Subjects | |
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Abstract | The discreteness of units of small populations can produce large fluctuations from a classical continuous representation, especially when null populations play a crucial role. These belong to what are here referred to as emergent and evanescent species. A few model biological systems are introduced in which this is the case, as well as a toy model that suggests a path to avoid the associated mathematical complexities. The corresponding division into null and non-null population sectors is carried out to leading order for the model systems, with promising results. |
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AbstractList | The discreteness of units of small populations can produce large fluctuations from a classical continuous representation, especially when null populations play a crucial role. These belong to what are here referred to as emergent and evanescent species. A few model biological systems are introduced in which this is the case, as well as a toy model that suggests a path to avoid the associated mathematical complexities. The corresponding division into null and non-null population sectors is carried out to leading order for the model systems, with promising results. The discreteness of units of small populations can produce large fluctuations from a classical continuous representation, especially when null populations play a crucial role. These belong to what are here referred to as emergent and evanescent species. A few model biological systems are introduced in which this is the case, as well as a toy model that suggests a path to avoid the associated mathematical complexities. The corresponding division into null and non-null population sectors is carried out to leading order for the model systems, with promising results.[PUBLICATION ABSTRACT] |
Author | Percus, Jerome K. |
Author_xml | – sequence: 1 givenname: Jerome K. surname: Percus fullname: Percus, Jerome K. email: percus@cims.nyu.edu organization: Courant Institute of Mathematical Sciences, 251 Mercer Street, New York, NY 10012, United States |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/16005504$$D View this record in MEDLINE/PubMed |
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Title | Small population effects in stochastic population dynamics |
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