Theodore R. Simons

TL;DR: This paper used Gaussian spatial autoregressive models, fit with widely available software, to examine breeding habitat relationships for three common Neotropical migrant songbirds in the southern Appalachian Mountains of North Carolina and Tennessee, USA.

TL;DR: Basic concepts based on actual avian, amphibian, and fish monitoring studies are presented in this article and it is believed that the estimation of detection probability should be built into the monitoring design through a double sampling approach.

TL;DR: In this article, the authors used a removal model to directly estimate detection probability during point-count surveys, assuming that singing frequency is a major factor influencing probability of detection when birds are surveyed using point counts, and developed a maximum likelihood estimator for the detectability of birds recorded during counts divided into those intervals.

TL;DR: In this paper, the authors applied a new method to estimate proportion of area occupied using detection/nondetection data from a terrestrial salamander system in Great Smoky Mountains National Park.

TL;DR: In this paper, the authors developed a system for simulating the conditions of avian surveys in which birds are identified by sound, using a laptop computer to control a set of amplified MP3 players placed at known locations around a survey point.