Simulation modelling demonstrates differential performance of connectivity methods in their ability to predict genetic diversity in complex landscapes
Luciano Atzeni,
Samuel A. Cushman and
David W. Macdonald
Ecological Modelling, 2024, vol. 498, issue C
Abstract:
There have been few evaluations of how well different connectivity modelling methods are able to predict the spatial genetic structure and genetic diversity of populations residing in complex landscapes. Given the wide application of connectivity modelling tools in applied conservation planning, it is crucial to broadly evaluate how these models perform across resistance, movement, and population structure conditions in predicting genetic diversity patterns. Such evaluations are critical to provide rigorous, biologically based guidance for conservation and management applications.
Keywords: Resistant kernel; Circuitscape; Pathwalker; Cdpop; Spatial genetic diversity; Genetic drift; Genetic Disequilibrium (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380024002746
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:498:y:2024:i:c:s0304380024002746
DOI: 10.1016/j.ecolmodel.2024.110886
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().