Abstract

A species may be present in the environment but remain undetected in a spatial survey. To characterize the distribution of a species that could have been missed, a Bayesian approach is used to make inferences about the number and size of circular patches of the species that could exist when it was not observed. In the simple case of random sampling, we derive an explicit form for the posterior distribution of the largest patch radius that could have been missed by using a Rayleigh distribution to model the distribution of patch radii and one of three probability models for the patch frequency. The results are illustrated by using a survey carried out in UK waters to detect spat of the non-indigenous Manila clam Tapes philippinarum.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.