RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho
Abstract Individual-based analyses relating land-scape structure to genetic distances across complex landscapes enable rigorous evaluation of multiple alternative hypotheses linking landscape structure to gene flow. We utilize two extensions to increase the rigor of the individual-based causal model...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.453.6843 2023-05-15T13:21:50+02:00 RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.6843 http://www.fs.fed.us/rm/pubs_other/rmrs_2010_wasserman_t001.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.6843 http://www.fs.fed.us/rm/pubs_other/rmrs_2010_wasserman_t001.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.fs.fed.us/rm/pubs_other/rmrs_2010_wasserman_t001.pdf Population connectivity Gene flow text ftciteseerx 2016-01-08T06:02:49Z Abstract Individual-based analyses relating land-scape structure to genetic distances across complex landscapes enable rigorous evaluation of multiple alternative hypotheses linking landscape structure to gene flow. We utilize two extensions to increase the rigor of the individual-based causal modeling approach to inferring relationships between landscape patterns and gene flow processes. First, we add a univariate scaling analysis to ensure that each land-scape variable is represented in the functional form that represents the optimal scale of its association with gene flow. Second, we use a two-step form of the causal modeling approach to integrate model selection with null hypothesis testing in individual-based landscape genetic analysis. This series of causal modeling indicated that gene flow in American marten in northern Idaho was primarily related to elevation, and that alternative hypotheses involving isolation by distance, geographical barriers, effects of canopy closure, roads, tree size class and an empir-ical habitat model were not supported. Gene flow in the Northern Idaho American marten population is therefore driven by a gradient of landscape resis-tance that is a function of elevation, with minimum resistance to gene flow at 1500 m. Text American marten Martes americana Unknown |
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Population connectivity Gene flow |
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Population connectivity Gene flow RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho |
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Population connectivity Gene flow |
description |
Abstract Individual-based analyses relating land-scape structure to genetic distances across complex landscapes enable rigorous evaluation of multiple alternative hypotheses linking landscape structure to gene flow. We utilize two extensions to increase the rigor of the individual-based causal modeling approach to inferring relationships between landscape patterns and gene flow processes. First, we add a univariate scaling analysis to ensure that each land-scape variable is represented in the functional form that represents the optimal scale of its association with gene flow. Second, we use a two-step form of the causal modeling approach to integrate model selection with null hypothesis testing in individual-based landscape genetic analysis. This series of causal modeling indicated that gene flow in American marten in northern Idaho was primarily related to elevation, and that alternative hypotheses involving isolation by distance, geographical barriers, effects of canopy closure, roads, tree size class and an empir-ical habitat model were not supported. Gene flow in the Northern Idaho American marten population is therefore driven by a gradient of landscape resis-tance that is a function of elevation, with minimum resistance to gene flow at 1500 m. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
title |
RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho |
title_short |
RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho |
title_full |
RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho |
title_fullStr |
RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho |
title_full_unstemmed |
RESEARCH ARTICLE Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho |
title_sort |
research article spatial scaling and multi-model inference in landscape genetics: martes americana in northern idaho |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.6843 http://www.fs.fed.us/rm/pubs_other/rmrs_2010_wasserman_t001.pdf |
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American marten Martes americana |
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American marten Martes americana |
op_source |
http://www.fs.fed.us/rm/pubs_other/rmrs_2010_wasserman_t001.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.6843 http://www.fs.fed.us/rm/pubs_other/rmrs_2010_wasserman_t001.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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