Comparison of two commonly used methods for identifying water quality thresholds in freshwater ecosystems using field and synthetic data.

Change points Diatoms Gradient forest (GF) Macroinvertebrates Multiple stressors Threshold indicator taxa analysis (TITAN)

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Jul 2020
Historique:
received: 13 01 2020
revised: 09 03 2020
accepted: 15 03 2020
entrez: 16 5 2020
pubmed: 16 5 2020
medline: 16 5 2020
Statut: ppublish

Résumé

Defining ecological thresholds has become increasingly relevant for water resource management. Despite the fact that there has been a rapid expansion in methods to evaluate ecological threshold responses to environmental stressors, evaluation of the relative benefits of various methods has received less attention. This study compares the performance of Gradient Forest (GF) and Threshold Indicator Taxa Analysis (TITAN) for identifying water quality thresholds in both field and synthetic data. Analysis of 14 years of macroinvertebrates data from the Mediterranean catchments of the Torrens and Onkaparinga Rivers, South-Australia, identified electrical conductivity (EC) and total phosphorus (TP) as the most important water quality variables affecting macroinvertebrates. Water quality thresholds for macroinvertebrates identified by both methods largely corresponded at low EC (GF: 400-900 μS cm

Identifiants

pubmed: 32408424
pii: S0048-9697(20)31512-6
doi: 10.1016/j.scitotenv.2020.137999
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

137999

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jawairia Sultana (J)

Department of Ecology and Environmental Science, School of Biological Sciences, The University of Adelaide, North Terrace, Adelaide 5005, Australia. Electronic address: jawairia.sultana@adelaide.edu.au.

John Tibby (J)

Department of Geography, Environment and Population, The University of Adelaide, Australia; Sprigg Geobiology Centre, The University of Adelaide, North Terrace, Adelaide 5005, Australia.

Friedrich Recknagel (F)

Department of Ecology and Environmental Science, School of Biological Sciences, The University of Adelaide, North Terrace, Adelaide 5005, Australia.

Sally Maxwell (S)

Department of Environment and Water, Waymouth Street, Adelaide 5000, Australia.

Peter Goonan (P)

South Australia Environment Protection Authority, Adelaide, Australia.

Classifications MeSH