10.5061/DRYAD.P5C04
Reid, Brendan N.
American Museum of Natural History
Thiel, Richard P.
7167 Deuce Road, Tomah, WI 54660
Palsbøll, Per J.
University of Groningen
Peery, Marcus Z.
University of Wisconsin-Madison
Data from: Linking genetic kinship and demographic analyses to
characterize dispersal: methods and application to Blanding’s turtle
Dryad
dataset
2016
spatial genetic autocorrelation
breeding dispersal
population simulation
Natal dispersal
Emydoidea blandingii
2016-08-16T14:59:14Z
2016-08-16T14:59:14Z
en
https://doi.org/10.1093/jhered/esw052
97704 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Characterizing how frequently, and at what life stages and spatial scales,
dispersal occurs can be difficult, especially for species with cryptic
juvenile periods and long reproductive life spans. Using a combination of
mark–recapture information, microsatellite genetic data, and demographic
simulations, we characterize natal and breeding dispersal patterns in the
long-lived, slow-maturing, and endangered Blanding’s turtle (Emydoidea
blandingii), focusing on nesting females. We captured and genotyped 310
individual Blanding’s turtles (including 220 nesting females) in a central
Wisconsin population from 2010 to 2013, with additional information on
movements among 3 focal nesting areas within this population available
from carapace-marking conducted from 2001 to 2009. Mark–recapture analyses
indicated that dispersal among the 3 focal nesting areas was infrequent
(<0.03 annual probability). Dyads of females with inferred
first-order relationships were more likely to be found within the same
nesting area than split between areas, and the proportion of related dyads
declined with increasing distance among nesting areas. The observed
distribution of related dyads for nesting females was consistent with a
probability of natal dispersal at first breeding between nearby nesting
areas of approximately 0.1 based on demographic simulations. Our
simulation-based estimates of infrequent female dispersal were
corroborated by significant spatial genetic autocorrelation among nesting
females at scales of <500 m. Nevertheless, a lack of spatial
genetic autocorrelation among non-nesting turtles (males and females)
suggested extensive local connectivity, possibly mediated by male
movements or long-distance movements made by females between terrestrial
nesting areas and aquatic habitats. We show here that coupling genetic and
demographic information with simulations of individual-based population
models can be an effective approach for untangling the contributions of
natal and breeding dispersal to spatial ecology.
Blanding's turtle location and microsatellite dataThis dataset
includes location and genetic data for Blanding's turtles sampled in
Wood County, WI. The first sheet ("NestingFemaleData") includes
data for females captured during terrestrial nesting surveys. Nesting
areas are as described in the publication; any turtle captured outside of
the seven main nesting areas identified are listed as "other".
The second sheet ("NonNestingData") includes all other turtles,
including adult males, adult females captured in aquatic locations, and
juveniles of unknown sex. For all location data, "X" and
"Y" are UTM coordinates (UTM zone 15N, WGS84 datum). When
individuals were captured more than once, coordinates represent the
centroid of all capture points. Missing data for microsatellites are
represented as "xxx".Reidetal_JOH_dryaddata.xlsx
USA
Wood County
Wisconsin