Category Archives: Uncategorized

Should we account for imperfect detection when evaluating patterns in fish abundance?

Our recent paper sheds light on the issue of imperfect detection when evaluating patterns in fish abundance. We synthesize the information from numerous studies to develop a realistic expectation of when and how the detection probability should vary when sampling fish. Our … Continue reading

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Virtual ecologist module #3: occupancy model power analysis

The Virtual Ecologist refers to the practice of simulating complete experimental designs, that is, the ecological process, the observation process and the statistical analysis. This simulation tool can be used to evaluate trade-offs among experimental design components when design complexity prevents … Continue reading

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Species richness estimators can give misleading results when determining patterns in biodiversity

Some years back I was challenged with the questions of how to track fish species richness through time in a selection of freshwater lakes in Florida. I first started experimenting with some of the simpler nonparametric species richness estimators as … Continue reading

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Emerging methods for multi-model inference in ecology: inference based on parameter inclusion probabilities

A procedure for model selection has been recently showing up in the ecological literature that seems to have followed the increasing use of Bayesian hierarchical models. I was first introduced to the procedure by the book, “Hierarchical modeling and inference … Continue reading

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Estimating the uncertainty in exploitation rates using parametric bootstrapping

Recently I taught a class on estimating fisheries exploitation rates with tagging studies.  A common study design to estimate exploitation rates is to release tagged fish into the system and allow anglers to return the tags when they harvest a … Continue reading

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Using movement information to approximate population closure for mark-recapture sampling designs:

Abundance of animals in an area (i.e. density) is one of the most basic population parameters desired in applied ecology. Many methods have been developed to estimate abundance within an area such as mark-recapture; however, it is often unclear the … Continue reading

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Is there an easy method to reduce bias in fish growth parameter estimates resulting from size-selective sampling?

Describing the growth of fish is important for population modeling, particularly when evaluating policy options for fisheries management.  The most common way to describe the growth of fish is with a von Bertalanffy growth curve, but estimates of growth parameters … Continue reading

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