Eric Payne
University of California, Davis
7 Papers
14 Citations
Eric Payne is an academic researcher from University of California, Davis. The author has contributed to research in topics: Population & Personality. The author has an hindex of 3, co-authored 7 publications.
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Papers
Estimating encounter location distributions from animal tracking data
Michael J. Noonan,Michael J. Noonan,Ricardo Martinez-Garcia,Grace H. Davis,Margaret C. Crofoot,Roland Kays,Ben T. Hirsch,Ben T. Hirsch,Damien Caillaud,Eric Payne,Andrew Sih,David L. Sinn,Orr Spiegel,William F. Fagan,Christen H. Fleming,Christen H. Fleming,Justin M. Calabrese +16 more
TL;DR: This work introduces a new theoretical concept describing the long-term encounter location probabilities for movement within home ranges, termed the conditional distribution of encounters (CDE), and derives this distribution, as well as confidence intervals, and implements its statistical estimator into open source software.
53
Personality, spatiotemporal ecological variation and resident/explorer movement syndromes in the sleepy lizard
Marcus Michelangeli,Marcus Michelangeli,Marcus Michelangeli,Eric Payne,Orr Spiegel,Orr Spiegel,David L. Sinn,Stephan T. Leu,Michael G. Gardner,Andrew Sih +9 more
TL;DR: In this paper, a GPS-tracked population of sleepy lizards Tiliqua rugosa, each Austral spring over 5 years, was examined to examine consistent among-individual variation in movement patterns, as well as how these differences were mediated by key internal and ecological factors.
22
Consistent after all: behavioural repeatability in a long-lived lizard across a 6-year field study
Eric Payne,David L. Sinn,David L. Sinn,Orr Spiegel,Stephan T. Leu,Michael G. Gardner,Michael G. Gardner,Stephanie S. Godfrey,Caroline Wohlfeil,Andrew Sih +9 more
TL;DR: In this article, the authors studied animal personalities over an 8-year period, representing 6 study years, in a wild population of the long-lived sleepy lizard, Tiliqua rugosa.
17
Early life experience influences dispersal in coyotes (Canis latrans).
TL;DR: Evidence that early life exposure influences dispersal behavior is provided, however, it remains unclear how these differences ultimately affect fitness.
16
Estimating encounter location distributions from animal tracking data
Michael J. Noonan,Michael J. Noonan,Ricardo Martinez-Garcia,Grace H. Davis,Margaret C. Crofoot,Roland Kays,Ben T. Hirsch,Ben T. Hirsch,Damien Caillaud,Eric Payne,Andrew Sih,David L. Sinn,Orr Spiegel,William F. Fagan,Christen H. Fleming,Christen H. Fleming,Justin M. Calabrese,Justin M. Calabrese +17 more
TL;DR: This work introduces a new theoretical concept describing the long-term encounter location probabilities for movement within home ranges, termed the conditional distribution of encounters (CDE), and derives this distribution, as well as confidence intervals, and implements its statistical estimator into open source software.