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Landscape Genetics
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Landscape Genetics

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Population and Evolutionary Genetics and Genomics".

Deadline for manuscript submissions: closed (30 June 2018) | Viewed by 6826

Special Issue Editor

Prof. Dr. Samuel A. Cushman

E-Mail Website
Guest Editor
Rocky Mountain Research Station, USDA Forest Service, 2500 S. Pine Knoll Dr., Flagstaff, AZ 86001, USA
Interests: landscape ecology; landscape genetics; forest ecology; climate change; wildlife ecology; disturbance ecology; population biology; landscape dynamic simulation modeling; landscape pattern analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Landscape genetics is a new and rapidly evolving interdisciplinary field that combines concepts and methods from population genetics, landscape ecology and spatial statistics. A fundamental goal of landscape genetics is to quantify the effects of landscape composition, configuration and dynamics on spatial patterns in neutral and adaptive genetic variation and underlying microevolutionary processes. Several areas of focus have been recently emphasized to for future development of landscape genetics research. Among these challenges are understanding the effects of different spatial and temporal scales of analysis (challenge 1) and current analytical limitations when testing for landscape-genetic relationships (challenge 2). Another challenge is related to expanding the focus of landscape genetics from the assessment of gene flow to analyses of the distribution and spread of adaptive genetic variation (challenge 3). The goal of this special issue is to bring together some of the best minds in the field of landscape genetics today to present the latest advances on these important questions.

Prof. Dr. Samuel A. Cushman
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • landscape genetics

  • scale

  • gene flow

  • selection

  • landscape structure

  • landscape change

Published Papers (1 paper)

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Research

21 pages, 3470 KiB  
Article
Habitat Fragmentation Reduces Genetic Diversity and Connectivity of the Mexican Spotted Owl: A Simulation Study Using Empirical Resistance Models
by Ho Yi Wan, Samuel A. Cushman and Joseph L. Ganey
Genes 2018, 9(8), 403; https://doi.org/10.3390/genes9080403 - 10 Aug 2018
Cited by 29 | Viewed by 6135
Abstract
We evaluated how differences between two empirical resistance models for the same geographic area affected predictions of gene flow processes and genetic diversity for the Mexican spotted owl (Strix occidentalis lucida). The two resistance models represented the landscape under low- and [...] Read more.
We evaluated how differences between two empirical resistance models for the same geographic area affected predictions of gene flow processes and genetic diversity for the Mexican spotted owl (Strix occidentalis lucida). The two resistance models represented the landscape under low- and high-fragmentation parameters. Under low fragmentation, the landscape had larger but highly concentrated habitat patches, whereas under high fragmentation, the landscape had smaller habitat patches that scattered across a broader area. Overall habitat amount differed little between resistance models. We tested eight scenarios reflecting a factorial design of three factors: resistance model (low vs. high fragmentation), isolation hypothesis (isolation-by-distance, IBD, vs. isolation-by-resistance, IBR), and dispersal limit of species (200 km vs. 300 km). Higher dispersal limit generally had a positive but small influence on genetic diversity. Genetic distance increased with both geographic distance and landscape resistance, but landscape resistance displayed a stronger influence. Connectivity was positively related to genetic diversity under IBR but was less important under IBD. Fragmentation had a strong negative influence on the spatial patterns of genetic diversity and effective population size (Ns). Despite habitats being more concentrated and less widely distributed, the low-fragmentation landscape had greater genetic diversity than the high-fragmentation landscape, suggesting that highly concentrated but larger habitat patches may provide a genetic refuge for the Mexican spotted owl. Full article
(This article belongs to the Special Issue Landscape Genetics)
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