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TitreThe influence of the scale of enquiry and estimated biological parameters on the biological signal obtained from underwater video data
TéléchargerTéléchargement (publication entière)
AuteurPearman, T R R; Bates, A; Robert, K; Callaway, A; Lo Iacono, C; Hall, R; Huvenne, V A I
SourceProgram and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada; par Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; Commission géologique du Canada, Dossier public 8295, 2017 p. 93, https://doi.org/10.4095/305910 (Accès ouvert)
LiensGeoHab 2017
Année2017
ÉditeurRessources naturelles Canada
Réunion2017 GeoHab: Marine Geological and Biological Habitat Mapping; Dartmouth, NS; CA; mai 1-4, 2017
Documentdossier public
Lang.anglais
DOIhttps://doi.org/10.4095/305910
Mediaen ligne; numérique
Référence reliéeCette publication est contenue dans Todd, B J; Brown, C J; Lacharité, M; Gazzola, V; McCormack, E; (2017). Program and abstracts: 2017 GeoHab Conference, Dartmouth, Nova Scotia, Canada, Commission géologique du Canada, Dossier public 8295
Formatspdf
Sujetstechniques de cartographie; océanographie; milieux marins; études côtières; conservation; organismes marins; écologie marine; gestion des ressources; peuplements biologiques; etudes de l'environnement; écosystèmes; benthos; photographie; caractéristiques sous-marines; canyons sous-marins; établissement de modèles; biologie; méthodologie; géologie marine; géologie des dépôts meubles/géomorphologie; géologie de l'environnement; géophysique
ProgrammeGéoscience de la gestion des océans, Géoscience en mer
Diffusé2017 09 26
Résumé(disponible en anglais seulement)
Accurate spatial representation of communities and species diversity is integral to elucidating factors that drive spatial structure and habitat distributions. Spatial structure results from the complex interplay of species responses to environmental drivers and spatial autocorrelation generated by community dynamics. These processes act over multiple scales. However, the scales at which datasets are obtained for benthic studies are often constrained by technological capabilities, rather than reflecting scales at which phenomena are suspected to operate.
Studies of benthic assemblages have demonstrated that the biological parameters chosen and scale of enquiry can influence the patterns obtained. Submarine canyons are heterogeneous environments characterised by high species turn over, where few species are shared between patches. Consequently, canyon settings could be more susceptible to these methodological biases.
This study utilised ROV video data from the Whittard Canyon, collected during the JC125 expedition funded by the ERC CODEMAP project (Starting Grant no 258482) and the NERC MAREMAP programme. Video analysis was conducted to identify, enumerate and georeference mega benthos utilising OFOP 3.3.7a software. Transect data was subdivided into segments of different lengths within which species records were consolidated and diversity parameters estimated. The subsequent patterns in diversity produced by different segmentation lengths and diversity parameters were compared to assess 1) if the scale of enquiry and biological parameters estimated affect the spatial patterns of diversity obtained from ROV video data and 2) which parameters are most appropriate for representing the biological structure within heterogeneous canyon settings.
The results from this study will feed into conceptual models for subsequent predictive habitat modelling within the canyon.
GEOSCAN ID305910