Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Maria C. Dzul"'
Autor:
Maria C. Dzul, Micheal D. Yard, Charles B. Yackulic, Mary M. Conner, William L. Kendall, Dana L. Winkelman
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 79:436-447
Autonomous passive integrated transponder (PIT) tag antennas are commonly used to detect fish marked with PIT tags but cannot detect unmarked fish, creating challenges for abundance estimation. Here we describe an approach to estimate abundance from
Autor:
Maria C. Dzul, David R. Van Haverbeke, William L. Kendall, Charles B. Yackulic, Dana L. Winkelman, Michael D. Yard
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 78:1057-1072
Choosing whether or not to migrate is an important life history decision for many fishes. Here we combine data from physical captures and detections on autonomous passive integrated transponder (PIT) tag antennas to study migration in an endangered f
Publikováno v:
Journal of Applied Ecology. 58:1602-1612
Autor:
Charles B. Yackulic, Michael J. Dodrill, Maria C. Dzul, Bridget R. Deemer, Theodore A. Kennedy, Josh Korman, Michael D. Yard
Publikováno v:
The Bulletin of the Ecological Society of America. 102
Autor:
Michael J. Dodrill, Maria C. Dzul, Theodore A. Kennedy, Charles B. Yackulic, Josh Korman, Bridget R. Deemer, Michael D. Yard
Publikováno v:
Ecological Monographs. 91
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 75:1393-1404
Autonomous passive integrated transponder (PIT) tag antenna systems continuously detect individually marked organisms at one or more fixed points over long time periods. Estimating abundance using data from autonomous antennas can be challenging beca
Publikováno v:
Ecology. 99:812-821
Introduced species are frequently implicated in declines of native species. In many cases, however, evidence linking introduced species to native declines is weak. Failure to make strong inferences regarding the role of introduced species can hamper
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 74:316-326
Evaluating environmental effects on fish growth can be challenging because environmental conditions may vary at relatively fine temporal scales compared with sampling occasions. Here we develop a Bayesian state-space growth model to evaluate effects
Publikováno v:
Ecological applications : a publication of the Ecological Society of AmericaLiterature Cited. 30(5)
Bayesian population models can be exceedingly slow due, in part, to the choice to simulate discrete latent states. Here, we discuss an alternative approach to discrete latent states, marginalization, that forms the basis of maximum likelihood populat
Publikováno v:
River Research and Applications. 32:373-382
Ecologists estimate vital rates, such as growth and survival, to better understand population dynamics and identify sensitive life history parameters for species or populations of concern. Here, we assess spatiotemporal variation in growth, movement,