Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections.

@article{Mcclintock2010UnmodeledOE,
  title={Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections.},
  author={Brett T Mcclintock and L Larissa L Bailey and Kenneth H. Pollock and Theodore R. Simons},
  journal={Ecology},
  year={2010},
  volume={91 8},
  pages={
          2446-54
        }
}
The recent surge in the development and application of species occurrence models has been associated with an acknowledgment among ecologists that species are detected imperfectly due to observation error. Standard models now allow unbiased estimation of occupancy probability when false negative detections occur, but this is conditional on no false positive detections and sufficient incorporation of explanatory variables for the false negative detection process. These assumptions are likely… CONTINUE READING
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