Accession Number : AD1046415

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

Descriptive Note : Technical Report,01 Jul 2014,31 Aug 2017

Corporate Author : University of Arkansas Fayetteville United States

Personal Author(s) : Willson ,John D ; Pittman,Shannon

Full Text :

Report Date : 30 Jan 2018

Pagination or Media Count : 59

Abstract : 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 python(Python 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 and/or 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

Descriptors :   simulations , estimates , case studies , snakes , EVERGLADES , probability , DENSITY , animal population groups , WILDLIFE MANAGEMENT , Department of Defense

Subject Categories : Biology

Distribution Statement : APPROVED FOR PUBLIC RELEASE