Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and inter-population spatial scales
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 de...
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Sprache: | eng |
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Zusammenfassung: | 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. |
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DOI: | 10.5061/dryad.8pk0p2nhq |