Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Validation of the Fish Community Index of Estuarine Condition and development of a monitoring regime for the Swan-Canning Riverpark

Hallett, C.S.ORCID: 0000-0002-8844-3388 and Valesini, F.J. (2012) Validation of the Fish Community Index of Estuarine Condition and development of a monitoring regime for the Swan-Canning Riverpark. Centre for Fish, Fisheries and Aquatic Ecosystems Research, Murdoch University

[img]
Preview

Abstract

Fish Community Indices were developed for the nearshore, shallow waters of the Swan-Canning estuary and also for its deeper, offshore waters. They integrate information on various biological variables (metrics), each of which quantifies an aspect of the structure and/or function of estuarine fish communities and responds to a wide array of stressors affecting the ecosystem. Given the well-known responses of these fauna to environmental stressors, these fish-based indices therefore provide a means to assess an important component of the ecology of the system and how it responds to changes in estuarine condition.
The present report describes a follow-up study which aimed to validate index sensitivity and robustness and to develop a monitoring regime to enable the condition of the Swan-Canning Estuary to be reliably quantified and reported into the future. The scope of this report was extended in 2012 to include a review of alternative approaches for determining estuarine condition grades/categories.

Item Type: Report
Murdoch Affiliation(s): Centre for Fish and Fisheries Research
Publisher: Centre for Fish, Fisheries and Aquatic Ecosystems Research, Murdoch University
Notes: Final Report - September 2012
URI: http://researchrepository.murdoch.edu.au/id/eprint/13099
Item Control Page Item Control Page

Downloads

Downloads per month over past year