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Sampling estuarine copepods at different scales and resolutions: a study in Rio de la Plata

Published online by Cambridge University Press:  18 December 2018

Sourav Paul  and
Danilo Calliari
Sourav Paul*
Affiliation:
Department of Zoology, University of Calcutta, Kolkata, India
Danilo Calliari
Affiliation:
Functional Ecology of Aquatic Systems Group, Universidad de la República, Rocha, Uruguay Faculty of Sciences, Universidad de la República, Rocha, Uruguay
*
Author for correspondence: Sourav Paul, E-mail: [email protected]; [email protected]
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Abstract

In the Rio de la Plata salinity, temperature, chlorophyll a (chl a), and densities (ind. m−3) of the copepods Acartia tonsa and Paracalanus parvus were measured from January to November in 2003 by following a nested weekly and monthly design. Such sampling yielded two separate datasets: (i) Yearly Dataset (YD) which consists of data of one sampling effort per month for 11 consecutive months, and (ii) Seasonal Weekly Datasets (SWD) which consists of data of one sampling effort per week of any four consecutive weeks within each season. YD was assumed as a medium-term low-resolution (MTLR) dataset, and SWD as a short-term high-resolution (STHR) dataset. The hypothesis was, the SWD would always capture (shorter scales generally captures more noise in data) more detail variability of copepod populations (quantified through the regression relationships between temporal changes of salinity, temperature, chl a and copepod densities) than the YD. Analysis of both YD and SWD found that A. tonsa density was neither affected by seasonal cycles, nor temporal variability of salinity, temperature and chl a. Thus, compared to STHR sampling, MTLR sampling did not yield any further information of the variability of population densities of the perennial copepod A. tonsa. Analysis of SWD found that during summer and autumn the population densities of P. parvus had a significant positive relationship to salinity but their density was limited by higher chl a concentration; analysis of YD could not yield such detailed ecological information. That hints the effectiveness of STHR sampling over MTLR sampling in capturing details of the variability of population densities of a seasonal copepod species. Considering the institutional resource limitations (e.g. lack of long-term funding, manpower and infrastructure) and the present hypothesis under consideration, the authors suggest that a STHR sampling may provide useful complementary information to interpret results of longer-term natural changes occurring in estuaries.

Keywords

Chlorophyll-apopulation densitysalinitytemperatureUruguay
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 99 , Issue 5 , August 2019 , pp. 1059 - 1064
Copyright
Copyright © Marine Biological Association of the United Kingdom 2018 

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