Literature DB >> 27755691

Replicated landscape genetic and network analyses reveal wide variation in functional connectivity for American pikas.

Jessica A Castillo1, Clinton W Epps2, Mackenzie R Jeffress3, Chris Ray4, Thomas J Rodhouse5, Donelle Schwalm2.   

Abstract

Landscape connectivity is essential for maintaining viable populations, particularly for species restricted to fragmented habitats or naturally arrayed in metapopulations and facing rapid climate change. The importance of assessing both structural connectivity (physical distribution of favorable habitat patches) and functional connectivity (how species move among habitat patches) for managing such species is well understood. However, the degree to which functional connectivity for a species varies among landscapes, and the resulting implications for conservation, have rarely been assessed. We used a landscape genetics approach to evaluate resistance to gene flow and, thus, to determine how landscape and climate-related variables influence gene flow for American pikas (Ochotona princeps) in eight federally managed sites in the western United States. We used empirically derived, individual-based landscape resistance models in conjunction with predictive occupancy models to generate patch-based network models describing functional landscape connectivity. Metareplication across landscapes enabled identification of limiting factors for dispersal that would not otherwise have been apparent. Despite the cool microclimates characteristic of pika habitat, south-facing aspects consistently represented higher resistance to movement, supporting the previous hypothesis that exposure to relatively high temperatures may limit dispersal in American pikas. We found that other barriers to dispersal included areas with a high degree of topographic relief, such as cliffs and ravines, as well as streams and distances greater than 1-4 km depending on the site. Using the empirically derived network models of habitat patch connectivity, we identified habitat patches that were likely disproportionately important for maintaining functional connectivity, areas in which habitat appeared fragmented, and locations that could be targeted for management actions to improve functional connectivity. We concluded that climate change, besides influencing patch occupancy as predicted by other studies, may alter landscape resistance for pikas, thereby influencing functional connectivity through multiple pathways simultaneously. Spatial autocorrelation among genotypes varied across study sites and was largest where habitat was most dispersed, suggesting that dispersal distances increased with habitat fragmentation, up to a point. This study demonstrates how landscape features linked to climate can affect functional connectivity for species with naturally fragmented distributions, and reinforces the importance of replicating studies across landscapes.
© 2016 by the Ecological Society of America.

Entities:  

Keywords:  American pika (Ochotona princeps); climate change; dispersal; functional connectivity; graph theory; landscape genetics; metareplication

Mesh:

Substances:

Year:  2016        PMID: 27755691     DOI: 10.1890/15-1452.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  10 in total

1.  Differing, multiscale landscape effects on genetic diversity and differentiation in eastern chipmunks.

Authors:  Elizabeth M Kierepka; Sara J Anderson; Robert K Swihart; Olin E Rhodes
Journal:  Heredity (Edinb)       Date:  2020-01-09       Impact factor: 3.821

2.  Genome-wide analysis reveals associations between climate and regional patterns of adaptive divergence and dispersal in American pikas.

Authors:  Danielle A Schmidt; Matthew D Waterhouse; Bryson M F Sjodin; Michael A Russello
Journal:  Heredity (Edinb)       Date:  2021-09-18       Impact factor: 3.821

3.  Predictors of Current and Longer-Term Patterns of Abundance of American Pikas (Ochotona princeps) across a Leading-Edge Protected Area.

Authors:  Lucas Moyer-Horner; Erik A Beever; Douglas H Johnson; Mark Biel; Jami Belt
Journal:  PLoS One       Date:  2016-11-30       Impact factor: 3.240

4.  Variation in subsurface thermal characteristics of microrefuges used by range core and peripheral populations of the American pika (Ochotona princeps).

Authors:  Thomas J Rodhouse; Matthew Hovland; Mackenzie R Jeffress
Journal:  Ecol Evol       Date:  2017-02-07       Impact factor: 2.912

5.  The population and landscape genetics of the European badger (Meles meles) in Ireland.

Authors:  Jimena Guerrero; Andrew W Byrne; John Lavery; Eleanor Presho; Gavin Kelly; Emily A Courcier; James O'Keeffe; Ursula Fogarty; Denise B O'Meara; Dennis Ensing; Carl McCormick; Roman Biek; Robin A Skuce; Adrian R Allen
Journal:  Ecol Evol       Date:  2018-09-12       Impact factor: 2.912

6.  Multiscale landscape genetics of American marten at their southern range periphery.

Authors:  Cody M Aylward; James D Murdoch; C William Kilpatrick
Journal:  Heredity (Edinb)       Date:  2020-01-28       Impact factor: 3.821

7.  Genomic variation in the American pika: signatures of geographic isolation and implications for conservation.

Authors:  Kelly B Klingler; Joshua P Jahner; Thomas L Parchman; Chris Ray; Mary M Peacock
Journal:  BMC Ecol Evol       Date:  2021-01-21

8.  Apparent climate-mediated loss and fragmentation of core habitat of the American pika in the Northern Sierra Nevada, California, USA.

Authors:  Joseph A E Stewart; David H Wright; Katherine A Heckman
Journal:  PLoS One       Date:  2017-08-30       Impact factor: 3.752

9.  Identification of a contact zone and hybridization for two subspecies of the American pika (Ochotona princeps) within a single protected area.

Authors:  Jessica A Castillo Vardaro; Clinton W Epps; Benjamin W Frable; Chris Ray
Journal:  PLoS One       Date:  2018-07-11       Impact factor: 3.752

10.  The effect of sampling density and study area size on landscape genetics inferences for the Mississippi slimy salamander (Plethodon mississippi).

Authors:  Stephanie M Burgess; Ryan C Garrick
Journal:  Ecol Evol       Date:  2021-05-01       Impact factor: 2.912

  10 in total

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