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
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
137999Informations 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.