Modeling stream fish distributions using interval-censored detection times.

ABSTRACT: Controlling for imperfect detection is important for developing species distribution models (SDMs). Occupancy-detection models based on the time needed to detect a species can be used to address this problem, but this is hindered when times to detection are not known precisely. Here, we extend the time-to-detection model to deal with detections recorded in time intervals and illustrate the method using a case study on stream fish distribution modeling. We collected electrofishing samples of six fish species across a Mediterranean watershed in Northeast Portugal. Based on a Bayesian hierarchical framework, we modeled the probability of water presence in stream channels, and the probability of species occupancy conditional on water presence, in relation to environmental and spatial variables

SUBMITTER: Ferreira M 

PROVIDER: S-EPMC4984523 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature