Digital photography improves consistency and accuracy of bat counts in hibernacula

Journal of Wildlife Management

Volumn 74, Issue 1, 2010, Pages 166-173

  Meretsky, Vicky J ^a   Brack Jr , Virgil ^b   Carter, Timothy C ^c   Clawson, Richard ^d,j   Currie, Robert R ^e   Hemberger, Traci A ^f   Herzog, Carl J ^g   Hicks, Alan C ^g   Kath, Joseph A ^h   MacGregor, John R ^f   King, R Andrew ⁱ   Good, David H ^a  

^a INDIANA UNIVERSITY   (United States)

^b Environmental Solutions and Innovations   (United States)

^c BALL STATE UNIVERSITY   (United States)

^d MISSOURI DEPARTMENT OF CONSERVATION   (United States)

^e United States Fish and Wildlife Service   (United States)

^f KENTUCKY DEPARTMENT OF FISH AND WILDLIFE RESOURCES   (United States)

^g NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION   (United States)

^h ILLINOIS DEPARTMENT OF NATURAL RESOURCES   (United States)

ⁱ US Fish and Wildlife Service   (United States)

^j NONE   (United States)

more..

Author keywords

Error detection; Indiana bat; Interobserver variability; Photography; Population estimation; Simulation

Indexed keywords

ACCURACY ASSESSMENT; BAT; BIOLOGICAL SURVEY; DIGITAL PHOTOGRAMMETRY; ENDANGERED SPECIES ACT; ERROR ANALYSIS; GIS; HIBERNATION; PHOTOGRAPH; POPULATION ESTIMATION; POPULATION MODELING; VISUAL ANALYSIS;

MYOTIS SODALIS;

EID: 73449101802     PISSN: 0022541X     EISSN: None     Source Type: Journal    
DOI: 10.2193/2008-306     Document Type: Article

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