Published October 22, 2019 | Version v1
Dataset Open

Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and inter-population spatial scales

  • 1. University of Tasmania
  • 2. Colorado State University
  • 3. United States Geological Survey
  • 4. San Diego State University
  • 5. National Park Service
  • 6. University of California, Santa Cruz

Description

Urbanization is a major factor driving habitat fragmentation and connectivity loss in wildlife. However, the impacts of urbanization on connectivity can vary among species and even populations due to differences in local landscape characteristics, and our ability to detect these relationships may depend on the spatial scale at which they are measured. Bobcats (Lynx rufus) are relatively sensitive to urbanization and the status of bobcat populations is an important indicator of connectivity in urban coastal southern California. We genotyped 271 bobcats at 13,520 SNP loci to conduct a replicated landscape resistance analysis in five genetically distinct populations. We tested urban and natural factors potentially influencing individual connectivity in each population separately, as well as study-wide. Overall, landscape genomic effects were most frequently detected at the study-wide spatial scale, with urban land cover (measured as impervious surface) having negative effects and topographic roughness having positive effects on gene flow. The negative effect of urban land cover on connectivity was also evident when populations were analyzed separately despite varying substantially in spatial area and the proportion of urban development, confirming a pervasive impact of urbanization largely independent of spatial scale. The effect of urban development was strongest in one population where stream habitat had been lost to development, suggesting that riparian corridors may help mitigate reduced connectivity in urbanizing areas. Our results demonstrate the importance of replicating landscape genetic analyses across populations and considering how landscape genetic effects may vary with spatial scale and local landscape structure.

Notes

Each fq.gz file contains sequences for one sample, named according to sample ID. This dataset includes 15 samples that were filtered out from the final analysis due to poor sequencing coverage.

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: EF 0723676

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DEB 1413925

Funding provided by: Australian Government Research Training Program Scholarship
Crossref Funder Registry ID:
Award Number:

Funding provided by: The Nature Conservancy
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100014596
Award Number:

Funding provided by: California Department of Transportation-District 8
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100004811
Award Number:

Funding provided by: Ecosystems Mission Area of the U.S. Geological Survey
Crossref Funder Registry ID:
Award Number:

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L.rufus_locations.csv

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Additional details

Related works

Is cited by
10.1111/mec.15274 (DOI)