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Person

Jonathan P Rose

Biologist

Western Ecological Research Center

Email: jprose@usgs.gov
Office Phone: 530-902-8928
ORCID: 0000-0003-0874-9166

Location
2885 Mission St Occupancy Agreement # Aca12594
400 Natural Bridges Drive
Santa Cruz , CA 95060
US

Supervisor: Brian J Halstead
We conducted a radio telemetry study of adult western spadefoots (Spea hammondii) at 2 sites in southern California to characterize their survival, behavior, and movements from breeding through aestivation to inform conservation and management for the species. These data support the following publication: Halstead, B.J., Baumberger, K.L., Backlin, A.R., Kleeman, P.M., Wong, M.N., Gallegos, E.A., Rose, J.P., and Fisher, R.N., 2021. Conservation implications of spatiotemporal variation in the terrestrial ecology of an ephemeral pool-breeding amphibian. The Journal of Wildlife Management.
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These data include egg mass counts and adult capture-mark-recapture histories for Foothill Yellow-legged frogs (Rana boylii) at two streams in northern California. Data were collected from the South Fork Eel River and its tributary, Fox Creek, from 1993-2019. Data from Hurdygurdy Creek were collected from 2002-2008.
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These data represent trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.
Code for fitting Integrated Population Models was adapted from Kéry and Schaub (2012). The Goodness-of-Fit test for the egg-mass count state space model was based on Besbeas and Morgan (2014). Analyses were performed in R version 3.6.1 (R Core Team 2019). References: Besbeas, P. and Morgan, B.J., 2014. Goodness‐of‐fit of integrated population models using calibrated simulation. Methods in Ecology and Evolution, 5(12), pp.1373-1382. https://doi.org/10.1111/2041-210X.12279 Kéry, M. and Schaub, M., 2012. Bayesian population analysis using WinBUGS: a hierarchical perspective. Academic Press. R Core Team, 2019. R: a language and environment for statistical computing. https://www.r-project.org/
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Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species’ ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic drift in local populations and provides important information for conservation management and recovery strategies. Here, we used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the population structure, genetic diversity and abundance of seven focal sites of the endangered...
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