Statistical phylogeography (Record no. 42381)

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control field MX-MdCICY
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control field 20250625124713.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-8072
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Title Statistical phylogeography
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Volume/sequential designation Molecuilar Ecology, 11(12), p.2623-2635, 2002
520 3# - SUMMARY, ETC.
Summary, etc. While studies of phylogeography and speciation in the past have largely focused on the documentation or detection of significant patterns of population genetic structure, the emerging field of statistical phylogeography aims to infer the history and processes underlying that structure, and to provide objective, rather than ad hoc explanations. Methods for parameter estimation are now commonly used to make inferences about demographic past. Although these approaches are well developed statistically, they typically pay little attention to geographical history. In contrast, methods that seek to reconstruct phylogeographic history are able to consider many alternative geographical scenarios, but are rimarily nonstatistical, making inferences about particular biological processes without explicit reference to stochastically derived expectations. We advocate the merging of these two traditions so that statistical phylogeographic methods can provide an accurate representation of the past, consider a diverse array of processes, and yet yield a statistical estimate of that history. We discuss various conceptual issues associated with statistical phylogeographic inferences, considering especially the stochasticity of population genetic processes and assessing the confidence of phylogeographic conclusions. To this end, we present some empirical examples that utilize a statistical phylogeographic approach, and then by contrasting results from a coalescent-based approach to those from TempletonÕs nested cladistic analysis (NCA), we illustrate the importance of assessing error. Because NCA does not assess error in its inferences about historical processes or contemporary gene flow, we performed a small-scale study using simulated data to examine how our conclusions might be affected by such unconsidered errors. NCA did not identify the processes used to simulate the data, confusing among deterministic processes and the stochastic sorting of gene lineages. There is as yet insufficent justification of NCAÕs ability to accurately infer or distinguish among alternative processes. We close with a discussion of some unresolved problems of current statistical phylogeographic methods to propose areas in need of future development
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Topical term or geographic name entry element BIOGEOGRAPHY
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Topical term or geographic name entry element COALESCENCE
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Topical term or geographic name entry element GENEALOGY
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Topical term or geographic name entry element PHYLOGEOGRAPHY
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Topical term or geographic name entry element POPULATION GENETICS
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Topical term or geographic name entry element SPECIATION
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Knowles, L.L.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Maddison, W.P.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1eqIRMi_og1hFHYo_Nvaziz34qu7EdhGn/view?usp=drivesdk">https://drive.google.com/file/d/1eqIRMi_og1hFHYo_Nvaziz34qu7EdhGn/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-8072 25.06.2025 25.06.2025 Documentos solicitados