Identification of the copepodite developmental stages of twenty-six North Atlantic copepods. Occasional Publication of the Marine Biological Association 21.

In zooplankton copepod studies there is often the requirement to be able to identify the six copepodite developmental stages of different species, or to know their body dimensions. However, this information is not available for many species, or is dispersed through the literature. This guide gathers together both original and previously published information on morphology and measurements for the stages of twenty-six common North Atlantic copepod species and tabulates them in a standard format. For each species additional notes useful in their identification are also given.

Differences in performance among four indices used to evaluate diversity in planktonic ecosystems

The performance of four common estimators of diversity are investigated using calanoid copepod data from the Continuous Plankton Recorder (CPR) survey. The region of the North Atlantic and the North Sea was divided into squares of 400 nautical miles for each 2-month period. For each 144 possible cases, Pielou's pooled quadrat method was performed with the aims of determining asymptotic diversity and investigating the CPR sample-size dependence of diversity estimators. It is shown that the performance of diversity indices may greatly vary in space and time (at a seasonal scale). This dependence is more pronounced in higher diverse environments and when the sample size is small. Despite results showing that all estimators underestimate the `actual' diversity, comparison of sites remained reliable from a few pooled CPR samples. Using more than one CPR sample, the Gini coefficient appears to be a better diversity estimator than any other indices and spatial or temporal comparisons are highly satisfactory. In situations where comparative studies are needed but only one CPR sample is available, taxonomic richness was the preferred method of estimating diversity. Recommendations are proposed to maximise the efficiency of diversity estimations with the CPR data.