Imperial College London

Prof Jenny Collier

Faculty of EngineeringDepartment of Earth Science & Engineering

Professor of Marine Geophysics
 
 
 
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Contact

 

+44 (0)20 7594 6443jenny.collier CV

 
 
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Location

 

4.46Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{McGonigle:2014:10.1016/j.ecss.2014.05.025,
author = {McGonigle, C and Collier, JS},
doi = {10.1016/j.ecss.2014.05.025},
journal = {Estuarine, Coastal and Shelf Science},
pages = {123--136},
title = {Interlinking backscatter, grain size and benthic community structure},
url = {http://dx.doi.org/10.1016/j.ecss.2014.05.025},
volume = {147},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The relationship between acoustic backscatter, sediment grain size and benthic community structure is examined using three different quantitative methods, covering image- and angular response-based approaches. Multibeam time-series backscatter (300 kHz) data acquired in 2008 off the coast of East Anglia (UK) are compared with grain size properties, macrofaunal abundance and biomass from 130 Hamon and 16 Clamshell grab samples. Three predictive methods are used: 1) image-based (mean backscatter intensity); 2) angular response-based (predicted mean grain size), and 3) image-based (1st principal component and classification) from Quester Tangent Corporation Multiview software. Relationships between grain size and backscatter are explored using linear regression. Differences in grain size and benthic community structure between acoustically defined groups are examined using ANOVA and PERMANOVA+. Results for the Hamon grab stations indicate significant correlations between measured mean grain size and mean backscatter intensity, angular response predicted mean grain size, and 1st principal component of QTC analysis (all p < 0.001). Results for the Clamshell grab for two of the methods have stronger positive correlations; mean backscatter intensity (r2 = 0.619; p < 0.001) and angular response predicted mean grain size (r2 = 0.692; p < 0.001). ANOVA reveals significant differences in mean grain size (Hamon) within acoustic groups for all methods: mean backscatter (p < 0.001), angular response predicted grain size (p < 0.001), and QTC class (p = 0.009). Mean grain size (Clamshell) shows a significant difference between groups for mean backscatter (p = 0.001); other methods were not significant. PERMANOVA for the Hamon abundance shows benthic community structure was significantly different between acoustic groups for all methods (p ≤ 0.001). Overall these results show considerable promise in that more than 60% of the variance in the mean grain size of the C
AU - McGonigle,C
AU - Collier,JS
DO - 10.1016/j.ecss.2014.05.025
EP - 136
PY - 2014///
SN - 0272-7714
SP - 123
TI - Interlinking backscatter, grain size and benthic community structure
T2 - Estuarine, Coastal and Shelf Science
UR - http://dx.doi.org/10.1016/j.ecss.2014.05.025
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000341477000013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/69189
VL - 147
ER -