Please use this identifier to cite or link to this item: https://doi.org/10.1111/1755-0998.13127
Title: ResDisMapper: An r package for fine-scale mapping of resistance to dispersal
Authors: Tang Q. 
Fung T.
Rheindt F.E. 
Keywords: biological invasions
conservation genetics
habitat fragmentation
isolation by distance
landscape genetics
Issue Date: 17-Dec-2019
Publisher: Wiley
Citation: Tang Q., Fung T., Rheindt F.E. (2019-12-17). ResDisMapper: An r package for fine-scale mapping of resistance to dispersal. Molecular Ecology Resources 20 (3) : 819-831. ScholarBank@NUS Repository. https://doi.org/10.1111/1755-0998.13127
Abstract: Management of biological invasions and conservation activity in the fight against habitat fragmentation both require information on how ongoing dispersal of organisms is affected by the environment. However, there are few landscape genetic computer programs that map resistance to dispersal at small spatiotemporal scales. To facilitate such analyses, we present an r package named ResDisMapper for the mapping of resistance to dispersal at small spatiotemporal scales, without the need for prior knowledge on environmental features or intensive computation. Based on the concept of isolation by distance (IBD), ResDisMapper calculates resistance using deviations of each pair of samples from the general IBD trend (IBD residuals). The IBD residuals are projected onto the studied area, which allows construction and visualization of a fine-scale map of resistance based on spatial accumulation of positive or negative IBD residuals. In this study, we tested ResDisMapper with both simulated and empirical data sets and compared its performance with two other popular landscape genetic programs. Overall, we found that ResDisMapper can map resistance with relatively high accuracy. The latest version of the package and associated documentation are available on Github (https://github.com/takfung/ResDisMapper). © 2019 John Wiley & Sons Ltd.
Source Title: Molecular Ecology Resources
URI: https://scholarbank.nus.edu.sg/handle/10635/170676
ISSN: 17550998
DOI: 10.1111/1755-0998.13127
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