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Big data opportunities and challenges for assessing multiple stressors across scales in aquatic ecosystems

K. A. Dafforn A B I , E. L. Johnston A B , A. Ferguson C , C.L. Humphrey D , W. Monk E , S. J. Nichols F , S. L. Simpson G , M. G. Tulbure A and D. J. Baird H
+ Author Affiliations
- Author Affiliations

A Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.

B Sydney Institute of Marine Sciences, Mosman, NSW 2088 Australia.

C Office of Environment and Heritage, PO Box A290, Sydney South, NSW 1232, Australia.

D Environmental Research Institute of the Supervising Scientist, PO Box 461, Darwin, NT 0801, Australia.

E Canadian Rivers Institute, Faculty of Forestry and Environmental Management, University of New Brunswick, PO Box 4400, Fredericton, NB, E3B 5A3, Canada.

F Institute for Applied Ecology and MDBfutures Collaborative Research Network, University of Canberra, Canberra, ACT 2601, Australia.

G CSIRO Land and Water, Centre for Environmental Contaminants Research, Locked Bag 2007, Kirrawee, NSW 2232, Australia.

H Environment Canada @ Canadian Rivers Institute, Department of Biology, University of New Brunswick, PO Box 4400, Fredericton, NB, E3B 5A3, Canada.

I Corresponding author. Email k.dafforn@unsw.edu.au

Marine and Freshwater Research 67(4) 393-413 https://doi.org/10.1071/MF15108
Submitted: 12 March 2015  Accepted: 20 July 2015   Published: 22 October 2015



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