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Innovative Methods for Estimating Densities and Detection Probabilities of Secretive Reptiles Including Invasive Constrictors and Rare Upland Snakes

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University of Arkansas Fayetteville United States

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This project demonstrates the broad applicability of a novel simulation-based technique for estimating density of secretive snakes through case studies of the imperiled southern hognosesnake Heterodon simus in the North Carolina Sand hills and the invasive Burmese pythonPython molurus bivittatus in Everglades National Park, Florida. For both species, existing radiotelemetry and extensive road survey data are used to generate the first density estimates available for the species. The results show that southern hognose exist at relatively low d8nsities 0 1 7 per ha , raising concern that this species may not only have declined in geographic range but may also occur at relatively low densities andor be declining in their strongholds. Estimates of python density l.5-5 per km2 provide baseline information that is critical for management of this harmful invader. Assumptions and model

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Technical Report,01 Jul 2014,31 Aug 2017



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Approved For Public Release;

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