Quantifying zooplankton species: use of richness estimators

Maria Carolina De A Castilho,Célio Wisniewski,Érika Dos S Silva,Maria José Dos S Wisniewski

doi:10.1590/1678-4766e2016011

Maria Carolina De A Castilho, Célio Wisniewski + Show 2 more

Open Access

https://doi.org/10.1590/1678-4766e2016011

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Abstract

ABSTRACT Richness estimators (Jackknife 1, Bootstrap, Chao 1 and ACE) were used to relate zooplankton species richness with amount of water collected per sample and number of samples throughout the year for the limnetic region of Sapucai River compartment of Furnas reservoir, state of Minas Gerais, Brazil. Seven 100 L samples were collected in sequence using a motor pump, and seven 70 L samples were collected in sequence using a plankton net (68 μm mesh size) in vertical hauls, to totalize 450 L, in three stations of the reservoir. Twelve monthly samplings were carried out over a year. The assessment of richness was made by analyzing the asymptotic behavior of the estimator curves. The samplings reached the asymptote from 350 L of collection with trawls and 400 L using a suction motor pump and reached the plateau on the 8th collection, which included both dry and rainy seasons. Regardless of the type of sampling, the volume of 400 L and eight sessions throughout the year is enough to register 90% of the zooplankton richness in the environment.

Highlights

Richness estimators (Jackknife 1, Bootstrap, Chao 1 and ACE) were used to relate zooplankton species richness with amount of water collected per sample and number of samples throughout the year for the limnetic region of Sapucai River compartment of Furnas reservoir, state of Minas Gerais, Brazil
Seven 100 L samples were collected in sequence using a motor pump, and seven 70 L samples were collected in sequence using a plankton net (68 μm mesh size) in vertical hauls, to totalize 450 L, in three stations of the reservoir
This study aims to determine the minimum water volume needed per sample collected for the largest possible number of zooplankton species in the limnetic region of Sapucaí River compartment of Furnas reservoir, and the sufficient number of monthly samples over a year to reach maximum richness

Summary

Introduction

Richness estimators (Jackknife 1, Bootstrap, Chao 1 and ACE) were used to relate zooplankton species richness with amount of water collected per sample and number of samples throughout the year for the limnetic region of Sapucai River compartment of Furnas reservoir, state of Minas Gerais, Brazil. Buscando relacionar a riqueza de espécies zooplanctônicas com o volume de água coletado por amostra e com o número de amostragens ao longo do ano para a região limnética do compartimento do Rio Sapucaí no reservatório da UHE de Furnas, Estado de Minas Gerais, Brasil, foram utilizados estimadores de riqueza (Jackknife 1, Bootstrap, Chao 1 e ACE). Non-parametric richness estimators, such as Chao, ACE and Jackknife estimators, have been used to improve sampling These are based on the occurrence of rare species that appear in few samples or in low density (Magurran, 2011). Other estimators, such as Bootstrap, give the same value for every species collected, whether they are rare or common, to estimate the Iheringia, Série Zoologia, 106: e2016011

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