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William M Ford

Unit Leader Research Wildlife Biologist

Cooperative Research Units

Office Phone: 540-231-5927
Fax: 540-231-7580
ORCID: 0000-0002-9611-594X

PTX - Virginia Tech VA CFWRU
Cheatham Hall
Blacksburg , VA 24061

Supervisor: Cyndy Loftin
These data are the collection of generalized linear mixed models run for AIC comparison of the pre- and post-White-nose Syndrome bat mist-net captures and percent juveniles in capture by year, time since White-nose Syndrome at collection set, U.S Fish and Wildlife Service designated geographic units, states or NABAT grid cell, collection site mean temperature, collection site temperature range and collection site elevation. Models are inclusive of data from 1999-2019 for the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis) and the tri-colored bat (Perimyotis subflavus).
These data are night level totals of bat calls by species and phonic group recorded at Fort Knox, Kentucky during the summer of 2017. Data contain recordings from zero-crossing frequency division and full spectrum receiving units.
These data represent characteristics of trees used by Northern long-eared bats as roosts at three sites in Wisconsin, as well as characteristics of surrounding trees to compare characteristics of used versus available trees.
The potential introduction of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, into North American bat populations is of interest to wildlife managers due to recent declines of several species. Populations of little brown bats (Myotis lucifugus) have collapsed due to white-nose syndrome (WNS), a disease caused by the introduction and spread of the fungal pathogen Pseudogymnoascus destructans (Pd). Throughout much of the United States and southern Canada, large colonies of the species routinely established diurnal roosts in anthropogenic structures creating the potential for direct human contact and cross-species disease transmission. Given recent declines and the potential for further disease impacts,...
The data in the CSV file named RSF is a detailed dataset used to run the models testing relationships between movement behavior and atmospheric conditions. This dataset includes: detection date and rounded hour, status (0 or 1) showing if over-water movement occurring within nine hours was detected, number of hours since sunset, site ID of area weather station, Motus tag ID, wind speed , Temperature, precipitation, visibility, wind direction, the longitudinal component of wind speed and direction, the latitudinal component of wind speed and direction, pressure, wind speed of previous hour, temperature of previous hour, precipitation of previous hour, visibility of previous hour, wind direction of previous hour,...
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