ISSN: 2157-7625

Journal of Ecosystem & Ecography
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  • Mini Review   
  • J Ecosys Ecograph,
  • DOI: 10.4172/2157-7625.1000339

Multivariate Methods: Identify Inhomogeneity in Phytoplankton

Sergio Franco*
Department of Plant Biology and Ecology, University of Barcelona, Spain
*Corresponding Author : Sergio Franco, Department of Plant Biology and Ecology, University of Barcelona, Spain, Email: franco342@gmail.com

Received Date: Jun 14, 2022 / Accepted Date: Jul 08, 2022 / Published Date: Jul 08, 2022

Abstract

Numerous worldwide policies, including European laws like the Water Framework Directive and the Marine Strategy Framework Directive, have long examined phytoplankton as a crucial environmental quality indicator. These regulations call for extensive monitoring networks that use indicators that represent various phytoplankton properties, such as composition, to measure water quality. Additionally, phytoplankton monitoring systems are necessary in bivalve mollusk growing sites worldwide in order to manage potential toxicity. The succession of species, which in turn is impacted by environmental changes, is a necessary component of phytoplankton assemblages. The examination of phytoplankton communities, however, is also accompanied by a number of sources of variance. The standard procedure for identifying and counting phytoplankton in the European Union is the microscope-based method using the Utermöhl technique. This strategy calls for highly specialized taxonomists, yet most studies exhibit bias since different taxonomists have different levels of knowledge.

Citation: Franco S (2022) Multivariate Methods: Identify Inhomogeneity in Phytoplankton. J Ecosys Ecograph 12: 339. Doi: 10.4172/2157-7625.1000339

Copyright: © 2022 Franco S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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