The succession of minima in the abundance of species

Many of the leading ecological and evolutionary characteristics of populations are governed by their effective population size, which in turn is strongly influenced by the minimum census size. The succession of minima of increasing rank R in time is described by the expected value of the next minimum ωR and by the expected time TR elapsing before it occurs. The relationships of ωR and TR with R together determine the minimal population expected to be encountered within a given period of time. These relationships depend on the dynamic model for species abundance. The four main types of model investigated here have characteristically different successions.

Temporal and spatial variability of Oithona spp. abundance and phenology in the North Atlantic, North Pacific and Southern Ocean using the CPR data

The genus Oithona is considered the most ubiquitous and abundant copepod group in the world oceans. Although they generally make-up a lower proportion of the total copepod biomass, because of their high numerical abundance, preferential feeding for microzooplankton and motile preys, Oithona spp. plays an important role in microbial food webs and can provide a food source for other planktonic organisms. Thus, changes in Oithona spp. overall abundance and the timing of their annual maximum (i.e. phenology) can have important consequences for both energy flow within marine food webs and secondary production. Using the long term data (1954-2005) collected by the Continuous Plankton Recorder (CPR), the present study, investigates whether global climate warming my have affected the long term trends in Oithona spp. population abundance and phenology in relation to biotic and abiotic variables and over a wide latitudinal range and diverse oceanographic regions in the Atlantic, Pacific and Southern Ocean.

Continuous Plankton Recorder Underestimates Zooplankton Abundance

A comparison between monthly mean ContinuousPlanktonRecorder (CPR) data and zooplankton data caught during winter and early spring with different sampling devices in the North Sea is presented to estimate the relative error in abundance of CPR measurements. CPR underestimates the abundance of zooplankton by a factor 25 during winter and early spring and by a factor 18 if Oithona spp. is not considered. This has serious implications for estimation of biomass as well as for modelling ecosystem dynamics.