NDLI: A spatial approach to matching marine fish diversity and abundance with habitat features

Content Provider	Springer Nature Link
Author	Chouinard, P. M. Dutil, J. D. Proulx, S. Borcard, D. Crocker, J.
Copyright Year	2014
Abstract	Current issues in marine resource management have in common a geospatial component and a need to integrate both biotic and abiotic data from various sources. We propose a practical approach to address these issues looking at the American plaice (Hippoglossoides platessoides) and the demersal fish fauna in the Gulf of St. Lawrence (Canada). Central to our approach was the use of a common spatial grid and three different methods to match biotic and abiotic features at a broad regional scale, (1) matching plaice distribution with habitat categories determined a priori on the basis of abiotic features (cluster analysis), (2) habitat categories determined taking into consideration both plaice density and abiotic features (simple regression tree), and (3) habitat categories determined taking into consideration demersal fish species density (70 fish species) and abiotic features (multivariate regression tree, MRT). Hot spots and cold spots of plaice abundance in summer were described and matched with specific habitats. The spatial distribution of habitats was similar whether biotic variables were used in the classification or not. The MRT, however, identified 56 different fish species in the plaice habitat (median species richness by 100 km2 cell = 12), pointing to potential interactions with other fish species.
Starting Page	39
Ending Page	55
Page Count	17
File Format	PDF
ISSN	00188158
Journal	Hydrobiologia
Volume Number	734
Issue Number	1
e-ISSN	15735117
Language	English
Publisher	Springer International Publishing
Publisher Date	2014-04-04
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Conservation Biodiversity Habitat Geospatial analysis Hot spot Seafloor Freshwater & Marine Ecology Ecology Zoology
Content Type	Text
Resource Type	Article
Subject	Aquatic Science

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