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    Author(s): Susan C. Loeb; Thomas J. Rodhouse; Laura E. Ellison; Cori L. Lausen; Jonathan D. Reichard; Kathryn M. Irvine; Thomas E. Ingersoll; Jeremy T.H. Coleman; Wayne E. Thogmartin; John R. Sauer; Charles M. Francis; Mylea L. Bayless; Thomas R. Stanley; Douglas H. Johnson
    Date: 2015
    Source: Gen. Tech. Rep. SRS-208. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station.
    Publication Series: General Technical Report (GTR)
    Station: Southern Research Station
    PDF: Download Publication  (21.03 MB)


    The purpose of the North American Bat Monitoring Program (NABat) is to create a continent-wide program to monitor bats at local to rangewide scales that will provide reliable data to promote effective conservation decisionmaking and the long-term viability of bat populations across the continent. This is an international, multiagency program. Four approaches will be used to gather monitoring data to assess changes in bat distributions and abundances: winter hibernaculum counts, maternity colony counts, mobile acoustic surveys along road transects, and acoustic surveys at stationary points. These monitoring approaches are described along with methods for identifying species recorded by acoustic detectors. Other chapters describe the sampling design, the database management system (Bat Population Database), and statistical approaches that can be used to analyze data collected through this program.

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    Loeb, Susan C.; Rodhouse, Thomas J.; Ellison, Laura E.; Lausen, Cori L.; Reichard, Jonathan D.; Irvine, Kathryn M.; Ingersoll, Thomas E.; Coleman, Jeremy T.H.; Thogmartin, Wayne E.; Sauer, John R.; Francis, Charles M.; Bayless, Mylea L.; Stanley, Thomas R.; Johnson, Douglas H. 2015. A plan for the North American Bat Monitoring Program (NABat). Gen. Tech. Rep. SRS-208. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 100 p.


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    Acoustic surveys, bat detectors, bats, chiroptera, climate change, hibernaculum counts, monitoring, occupancy models, population trends, white-nose syndrome.

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