Publication Repository

Estimating cover of benthic organisms from underwater video images: variability associated with multiple observers

Show simple item record

dc.contributor Australian Institute Of Marine Science (aims) en
dc.contributor Australian Institute Of Marine Science
dc.contributor Australian Inst Marine Sci
dc.contributor.author DELEAN, S
dc.contributor.author OSBORNE, K
dc.contributor.author NINIO, R
dc.contributor.author SWEATMAN, H
dc.date.accessioned 2013-02-28T06:50:59Z
dc.date.accessioned 2013-02-28T06:50:59Z
dc.date.accessioned 2017-03-21T01:22:47Z
dc.date.accessioned 2017-04-18T07:20:28Z
dc.date.available 2013-02-28T06:50:59Z
dc.date.available 2013-02-28T06:50:59Z
dc.date.available 2017-03-21T01:22:47Z
dc.date.available 2017-04-18T07:20:28Z
dc.date.issued 2003-01-01 en
dc.identifier 6337 en
dc.identifier.citation Ninio R, Delean S, Osborne K and Sweatman HPA (2003) Estimating cover of benthic organisms from underwater video images: variability associated with multiple observers. Marine Ecology Progress Series. 265: 107-116. en
dc.identifier.issn 0171-8630
dc.identifier.uri http://epubs.aims.gov.au/11068/6337
dc.description.abstract Using trained observers and video images of reef transects from many parts of the Great Barrier Reef, we investigated (1) accuracy of classification of benthos and (2) variability contributed by observers to the precision of estimates of benthic cover obtained from video tapes. In order to estimate accuracy of identification, benthic organisms were identified twice, first in the field and later from video images. These identifications were then compared. The effect of observer error on precision of benthic cover estimates was examined by having 2 observers sample the same video images on 3 separate occasions. These estimates were then compared at the level of different benthic groups (hard coral, soft coral and algae) and for different hierarchical levels of classification of hard corals (life form, family, genus and species). 'Benthic groups' (mean accuracy of 90 +/- 8%) and 'families of hard coral' (91 +/- 7%) were identified most accurately and least variably from video images, although many genera and some distinctive species were also identified reliably. Life forms of hard corals proved to be the least accurate and most variable level of classification, with a mean accuracy rating of 74 +/- 16%. There was little additional variation in estimates of cover when 2 trained observers sampled images, compared with variation in estimates of cover from repeated samples of images by a single observer. At 10% cover, variability in estimates made by a single observer resulted in mean CIs of 7.9 to 12.1%. Inclusion of variation between observers expanded CIs by only +/-0.22%. Furthermore, total observer error was small relative to estimates of cover. For example, at 30% cover, the mean Cl due to both between- and within-observer variability was 27.2 to 32.8%.
dc.language English
dc.language en en
dc.relation.ispartof Null
dc.relation.ispartof Marine Ecology Progress Series - pages: 265: 107-116 en
dc.relation.uri http://data.aims.gov.au/metadataviewer/uuid/5a8a4b00-4ade-11dc-8f56-00008a07204e en
dc.subject Great-barrier-reef
dc.subject Great Barrier Reef
dc.subject Patterns
dc.subject Observer Error
dc.subject Coral Assemblages
dc.subject Underwater Video
dc.subject Environmental Sciences & Ecology
dc.subject Australia
dc.subject Coral Reef
dc.subject Oceanography
dc.subject Benthic Cover
dc.subject Ecology
dc.subject Marine & Freshwater Biology
dc.title Estimating cover of benthic organisms from underwater video images: variability associated with multiple observers
dc.type journal article en
dc.identifier.wos WOS:000188774900009


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


Browse

My Account