Literature DB >> 21376369

A trait database of stream invertebrates for the ecological risk assessment of single and combined effects of salinity and pesticides in South-East Australia.

Ralf B Schäfer1, Ben J Kefford, Leon Metzeling, Matthias Liess, Sinje Burgert, Richard Marchant, Vincent Pettigrove, Peter Goonan, Dayanthi Nugegoda.   

Abstract

We compiled a database on a priori selected traits for South-East Australian freshwater macroinvertebrate families and used this data for the development of a biotic indicator for the detection of the effects of salinisation on freshwater communities (SPEAR(salinity)) and for the adaptation of the existing SPEAR(pesticides) index for South-East Australian taxa. The SPEAR(salinity) indicator showed a reasonably high relationship (0.38≤r(2)≤0.5) with salinity in terms of logarithmic electrical conductivity (log EC) using field biomonitoring data from 835 pools and riffle sites in Victoria and South Australia. Several other biotic indexes that were calculated for comparison purpose exhibited a lower relationship with log EC. In addition, SPEAR(salinity) was the only indicator that did not respond to other water quality variables and was therefore most selective. We used log EC data and modelled pesticide exposure for sites in Victoria in concert with SPEAR(salinity) and the existing SPEAR(pesticides) index to assess whether pesticides interacts with effects of salinity on invertebrate communities and vice versa. No interaction with pesticides was found for the effect of log EC on SPEAR(salinity), whereas EC interacted with the estimated pesticide exposure on the invertebrate communities. To foster the development of further trait-based ecological indicators, we suggest a conceptual model that predicts response traits based on the disturbance regime and disturbance mode of action of the stressor. Biotic indicators based on a priori selected traits represent a promising biomonitoring tool even for regions where ecological information is scarce.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21376369     DOI: 10.1016/j.scitotenv.2011.01.053

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  12 in total

1.  Statistics matter: data aggregation improves identification of community-level effects compared to a commonly used multivariate method.

Authors:  Mikhail A Beketov; Mira Kattwinkel; Matthias Liess
Journal:  Ecotoxicology       Date:  2013-12       Impact factor: 2.823

2.  Can species traits predict the susceptibility of riverine fish to water resource development? An Australian case study.

Authors:  Robert J Rolls; David Sternberg
Journal:  Environ Manage       Date:  2015-04-04       Impact factor: 3.266

3.  Predicting current and future background ion concentrations in German surface water under climate change.

Authors:  Trong Dieu Hien Le; Mira Kattwinkel; Klaus Schützenmeister; John R Olson; Charles P Hawkins; Ralf B Schäfer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-12-03       Impact factor: 6.237

Review 4.  Multiple riparian-stream connections are predicted to change in response to salinization.

Authors:  Sally A Entrekin; Natalie A Clay; Anastasia Mogilevski; Brooke Howard-Parker; Michelle A Evans-White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-12-03       Impact factor: 6.237

Review 5.  Salinized rivers: degraded systems or new habitats for salt-tolerant faunas?

Authors:  Ben J Kefford; David Buchwalter; Miguel Cañedo-Argüelles; Jenny Davis; Richard P Duncan; Ary Hoffmann; Ross Thompson
Journal:  Biol Lett       Date:  2016-03       Impact factor: 3.703

Review 6.  Open Science principles for accelerating trait-based science across the Tree of Life.

Authors:  Rachael V Gallagher; Daniel S Falster; Brian S Maitner; Roberto Salguero-Gómez; Vigdis Vandvik; William D Pearse; Florian D Schneider; Jens Kattge; Jorrit H Poelen; Joshua S Madin; Markus J Ankenbrand; Caterina Penone; Xiao Feng; Vanessa M Adams; John Alroy; Samuel C Andrew; Meghan A Balk; Lucie M Bland; Brad L Boyle; Catherine H Bravo-Avila; Ian Brennan; Alexandra J R Carthey; Renee Catullo; Brittany R Cavazos; Dalia A Conde; Steven L Chown; Belen Fadrique; Heloise Gibb; Aud H Halbritter; Jennifer Hammock; J Aaron Hogan; Hamish Holewa; Michael Hope; Colleen M Iversen; Malte Jochum; Michael Kearney; Alexander Keller; Paula Mabee; Peter Manning; Luke McCormack; Sean T Michaletz; Daniel S Park; Timothy M Perez; Silvia Pineda-Munoz; Courtenay A Ray; Maurizio Rossetto; Hervé Sauquet; Benjamin Sparrow; Marko J Spasojevic; Richard J Telford; Joseph A Tobias; Cyrille Violle; Ramona Walls; Katherine C B Weiss; Mark Westoby; Ian J Wright; Brian J Enquist
Journal:  Nat Ecol Evol       Date:  2020-02-17       Impact factor: 15.460

7.  Sensitivity ranking for freshwater invertebrates towards hydrocarbon contaminants.

Authors:  Nadine V Gerner; Kevin Cailleaud; Anne Bassères; Matthias Liess; Mikhail A Beketov
Journal:  Ecotoxicology       Date:  2017-09-06       Impact factor: 2.823

8.  The effects of hydraulic works and wetlands function in the Salado-River basin (Buenos Aires, Argentina).

Authors:  M E Bazzuri; N A Gabellone; L C Solari
Journal:  Environ Monit Assess       Date:  2018-01-26       Impact factor: 2.513

9.  Development of relative risk model for regional groundwater risk assessment: a case study in the lower Liaohe River Plain, China.

Authors:  Xianbo Li; Rui Zuo; Yanguo Teng; Jinsheng Wang; Bin Wang
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

10.  An horizon scan of biogeography.

Authors:  Michael N Dawson; Adam C Algar; Alexandre Antonelli; Liliana M Dávalos; Edward Davis; Regan Early; Antoine Guisan; Roland Jansson; Jean-Philippe Lessard; Katharine A Marske; Jenny L McGuire; Alycia L Stigall; Nathan G Swenson; Niklaus E Zimmermann; Daniel G Gavin
Journal:  Front Biogeogr       Date:  2013
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