Publication Repository

Comparing two remote video survey methods for spatial predictions of the distribution and environmental niche suitability of demersal fishes

Show simple item record

dc.contributor Australian Institute Of Marine Science
dc.contributor Dept Environm & Agr
dc.contributor Marine Sci Program
dc.contributor Dept Biodivers Conservat & Attract
dc.contributor Curtin University
dc.contributor Australian Inst Marine Sci
dc.contributor Sch Earth & Environm
dc.contributor University Of Western Australia
dc.contributor Div Sci
dc.contributor Curtin Univ
dc.contributor Univ Western Australia
dc.contributor Uwa Oceans Inst HARVEY, EUAN S. GALAIDUK, RONEN RADFORD, BEN T. WILSON, SHAUN K. 2018-01-07T19:01:02Z 2018-01-07T19:01:02Z 2018-11-01T03:27:14Z 2018-01-07T19:01:02Z 2018-01-07T19:01:02Z 2018-11-01T03:27:14Z 2017-12-15
dc.identifier.citation Galaiduk R, Radford BT, Wilson SK, Harvey ES (2017) Comparing two remote video survey methods for spatial predictions of the distribution and environmental niche suitability of demersal fishes. Scientific Reports 7: 17633
dc.identifier.issn 2045-2322
dc.description.abstract Information on habitat associations from survey data, combined with spatial modelling, allow the development of more refined species distribution modelling which may identify areas of high conservation/ fisheries value and consequentially improve conservation efforts. Generalised additive models were used to model the probability of occurrence of six focal species after surveys that utilised two remote underwater video sampling methods (i.e. baited and towed video). Models developed for the towed video method had consistently better predictive performance for all but one study species although only three models had a good to fair fit, and the rest were poor fits, highlighting the challenges associated with modelling habitat associations of marine species in highly homogenous, low relief environments. Models based on baited video dataset regularly included large-scale measures of structural complexity, suggesting fish attraction to a single focus point by bait. Conversely, models based on the towed video data often incorporated small-scale measures of habitat complexity and were more likely to reflect true species-habitat relationships. The cost associated with use of the towed video systems for surveying low-relief seascapes was also relatively low providing additional support for considering this method for marine spatial ecological modelling.
dc.description.sponsorship We thank the crew of fishing vessel 'Hannah Lee' (Robert and Jason Stone) for support in the field. We are also grateful to the staff and volunteers of the Fish Ecology Lab at Curtin University for their help with data collection and video analysis. In particular Damon Driessen, Laura Fullwood, Elizabeth Myers, Lauren Munks, Elica Pereira Carvalho, Jamie Mcwilliam, Robert Handasyde. A special thank you to Shanta Barley and Xenia Gonzalez for proofreading and commenting on the manuscript. Part of the data used in this research was collected for the Marine Biodiversity Hub, a collaborative partnership supported through funding from the Australian Government's National Environmental Research Program (NERP), administered by the Department of the Environment. NERP Marine Biodiversity Hub partners include the Institute for Marine and Antarctic Studies, University of Tasmania; CSIRO, Geoscience Australia, Australian Institute of Marine Science, Museum Victoria, Charles Darwin University and the University of Western Australia.
dc.language English
dc.subject Towed Camera
dc.subject Presence-absence
dc.subject Science & Technology - Other Topics
dc.subject Species Distributions
dc.subject Seasonal-changes
dc.subject Multidisciplinary Sciences
dc.subject Coral-reef
dc.subject Habitat-suitability
dc.subject Marine Biodiversity
dc.subject Western-australia
dc.subject Size Structure
dc.subject Temperate Reef Fish
dc.title Comparing two remote video survey methods for spatial predictions of the distribution and environmental niche suitability of demersal fishes
dc.type journal article
dc.identifier.doi 10.1038/s41598-017-17946-2
dc.identifier.wos WOS:000418250800018

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Publication


My Account