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Spatial distribution modelling of New Zealand cetacean species / F. Stephenson, K. Goetz, T. Mouton, F. Beets, S. Hailes, J. Roberts, M. Pinkerton, A. MacDiarmid.

By: Stephenson, F. (Fabrice).
Contributor(s): Goetz, K. T. (Kimberly T.) | Mouton, T [(Théophile)] | Beets, F. (Fenna) | Hailes, Sarah F. (Sarah Frances) | Roberts, Jim (Fishery scientist) | Pinkerton, Matt H | MacDiarmid, Alison | New Zealand. Ministry for Primary Industries | Fisheries New Zealand (Government agency) [issuing body].
Material type: materialTypeLabelBookSeries: New Zealand aquatic environment and biodiversity report: no. 240.Publisher: Wellington : Fisheries New Zealand, Tini a Tangaroa, 2020.Description: 1 online resource : colour illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781990025020.Subject(s): MARINE MAMMALS | CETACEANS | CETACEA POPULATIONS | GEOGRAPHICAL DISTRIBUTION | ESTIMATES | MATHEMATICAL MODELS | FISH STOCK ASSESSMENT | NEW ZEALANDHoldings: ELECTRONIC Online resources: AEBR 240 Fisheries Infosite | NIWA document server Summary: Opportunistic sighting records (n=14207) of 31 cetacean species complexes, species and subspecies, and 14 spatially comprehensive environmental data layers were combined to derive habitat preference models, and, for a select number of species with sufficient data, to derive relative density using a two-step hurdle model. Predicted distributions were consistent with known distributions and the respective species sighting and stranding records, although uncertainty remains for rarely sighted taxa.
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Item type Current library Call number Copy number Status Date due Barcode
PDF PDF WELLINGTON ONLINE ELECTRONIC 1 Not for loan 396572

"May 2020."

Includes bibliographical references.

Opportunistic sighting records (n=14207) of 31 cetacean species complexes, species and subspecies, and 14 spatially comprehensive environmental data layers were combined to derive habitat preference models, and, for a select number of species with sufficient data, to derive relative density using a two-step hurdle model. Predicted distributions were consistent with known distributions and the respective species sighting and stranding records, although uncertainty remains for rarely sighted taxa.

ELECTRONIC

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