Mark-recapture and animal movement models

During my PhD research studying juvenile salmon mortality, I found the need and opportunity to expand upon traditional mark-recapture models and develop novel methods for estimating survival and detection probabilities of migrating salmon. These included:

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  • A mark-recapture method for combining multiple populations with partially shared migration routes into the same analysis.  see abstract or get pdf 
  • A method for estimating detection probabilities of migrating fish using only local information at a detection station, in contrast to mark-recapture methods which require information from other detection stations.  see abstract or get pdf
  • Methods for estimating detection probabilities of acoustic tags during transect boat surveys, geared towards cases where tags are deep and difficult to detect. see paper
  • A method for estimating detection probabilities in rivers outside of the migration period of fish, using test tag passes calibrated against environmental time series data. This was used to estimate the residualization rate of steelhead.  see abstract or get pdf
  • A method for measuring the variation in acoustic output among individual tags of the same type prior to tagging fish, and accounting for this factor when estimating detection probabilities in the field.  get  book chapter 

I am also involved in a study investigating the migrations and survival of Atlantic sturgeon in the New York Bight. We used multi-state mark recapture models to quantify sturgeon movement and mortality patterns with respect to ‘bycatch hotspots’ in coastal areas. see abstract

There are many definitions and ways to estimate the nuisance parameter ‘detection probability’ or ‘detection efficiency’. I wrote a review about the use of this parameter as it pertains to biotelemetry studies.  get book chapter 

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