Chris McGonigle

Dr. Chris McGonigle

Senior Lecturer, Ulster University, Cromore Road, Coleraine, NI BT52 1SA, USA
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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2014 in ICES Journal of Marine Science
Verified
Journal Article
Open access
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JCJay Calvert
Jay Calvert
JSJames Asa Strong
James Asa Strong
MSMatthew Service
Matthew Service
CMChris McGonigle
Chris McGonigle
RQRory Quinn
Rory Quinn
Marine habitat mapping provides information on seabed substrata and faunal community structure to users including research scientists, conservation organizations, and policy makers. Full-coverage acoustic data are frequently used for habitat mapping in combination with video ground-truth data in either a supervised or unsupervised classification. In this investigation, video ground-truth data with a camera footprint of 1 m2 were classified to level 4 of the European Nature Information System habitat classification scheme. Acoustic data with a horizontal resolution of 1 m2 were collected over an area of 130 km2 using a multibeam echosounder, and processed to provide bathymetry and backscatter data. Bathymetric derivatives including eastness, northness, slope, topographic roughness index, vector rugosity measure, and two measures of curvature were created. A feature selection process based on Kruskal–Wallis and post hoc pairwise testing was used to select environmental variables able to discriminate ground-truth classes. Subsequently, three datasets were formed: backscatter alone (BS), backscatter combined with bathymetry and derivatives (BSDER), and bathymetry and derivatives alone (DER). Two classifications were performed on each of the datasets to produce habitat maps: maximum likelihood supervised classification (MLC) and ISO Cluster unsupervised classification. Accuracy of the supervised habitat maps was assessed using total agreement, quantity disagreement, and allocation disagreement. Agreement in the unsupervised maps was assessed using the Cramer's V coefficient. Choice of input data produced large differences in the accuracy of the supervised maps, but did not have the same effect on the unsupervised maps. Accuracies were 46, 56, and 49% when calculated using the sample and 52, 65, and 51% when using an unbiased estimate of the population for the BS, BSDER, and DER maps, respectively. Cramer's V was 0.371, 0.417, and 0.366 for the BS, BSDER, and DER maps, respectively.

1 February 2009 in Estuarine, Coastal and Shelf Science
Verified
Journal Article
Closed access
CMChris McGonigle
Chris McGonigle
CBCraig Brown
Craig Brown
RQRory Quinn
Rory Quinn
JGJonathan Grabowski
Jonathan Grabowski

3 October 2013 in Journal of Biogeography
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Journal Article
Closed access
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DGDavid Griffiths
David Griffiths
CMChris McGonigle
Chris McGonigle
RQRory Quinn
Rory Quinn

1 June 2014 in Estuarine, Coastal and Shelf Science
Verified
Journal Article
Closed access
CMChris McGonigle
Chris McGonigle
JCJenny S. Collier
Jenny S. Collier

1 January 2011 in Estuarine, Coastal and Shelf Science
Verified
Journal Article
Closed access
CMChris McGonigle
Chris McGonigle
JGJonathan H. Grabowski
Jonathan H. Grabowski
CBCraig Brown
Craig Brown
TWThomas Weber
Thomas Weber
RQRory Quinn
Rory Quinn

19 December 2023 in BioScience
Verified
Journal Article
Open access
PDF file
APAvery B Paxton
Avery B Paxton
CMChris McGonigle
Chris McGonigle
Melanie DamourMelanie Damour
Melanie Damour
GHGeorgia Holly
Georgia Holly
ACAlicia Caporaso
Alicia Caporaso
JTJ Christopher Taylor
J Christopher Taylor
An estimated three million shipwrecks exist worldwide and are recognized as cultural resources and foci of archaeological investigations. Shipwrecks also support ecological resources by providing underwater habitats that can be colonized by diverse organisms ranging from microbes to megafauna. In the present article, we review the emerging ecological subdiscipline of shipwreck ecology, which aims to understand ecological functions and processes that occur on shipwrecks. We synthesize how shipwrecks create habitat for biota across multiple trophic levels and then describe how fundamental ecological functions and processes, including succession, zonation, connectivity, energy flow, disturbance, and habitat degradation, manifest on shipwrecks. We highlight future directions in shipwreck ecology that are ripe for exploration, placing a particular emphasis on how shipwrecks may serve as experimental networks to address long-standing ecological questions.