SPATIOTEMPORAL PREDICTION MODELS OF CETACEAN HABITATS IN THE MID‐WESTERN NORTH ATLANTIC OCEAN (FROM CAPE HATTERAS, NORTH CAROLINA, U.S.A. TO NOVA SCOTIA, CANADA)

By T. Hamazaki. 2002

144 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/d0ba735ec59a49ad1c60599b5032c576517cd086

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Citations in the corpus

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time (2009, unknown): “…of modeling algorithms, greater availability of spatially extensive environmental data, and strong demand for mapped products for conservation and land management, an increasing number of papers now focus on predicting distributions (e.g., Hamazaki 2002, and Supplemental Literature Cited).”
Using marine mammal habitat modelling to identify priority conservation zones within a marine protected area (2009, background): “At larger grid sizes, the sighting rate is higher but the environmental conditions are averaged over a larger area (Hamazaki 2002, Redfern et al. 2008).”
Submarine canyons as important habitat for cetaceans, with special reference to the Gully: A review (2014, background): “whales, but data from large-scale surveys may not be useful for predicting cetacean distribution within smaller-scale local habitats (Hamazaki, 2002), such as within canyons.”
Techniques for cetacean-habitat modeling (2006, methodology): “Depending on the type of data available and the purpose of the model, cetacean data may be summarized by presence/absence (Hamazaki 2002), abundance or relative abundance (e.g. the number of cetaceans or cetacean groups per unit of search effort, see Forney 1999), density (Benson et al. 2002), or…”
Modelling sperm whale habitat preference: a novel approach combining transect and follow data (2011, methodology): “…(e.g. chlorophyll a surface concentration) have been successfully employed to describe cetacean habitat preference indirectly (e.g. Cañadas et al. 2002, Davis et al. 2002, Hamazaki 2002, Yen et al. 2004, Cañadas et al. 2005, Ferguson et al. 2006, Panigada et al. 2008, Praca & Gannier 2008).”
Mapping world-wide distributions of marine mammal species using a relative environmental suitability (RES) model (2006, methodology): “…shelf waters (Jefferson et al. 1993) — a perception which is supported by statistical investigations of minke whale occurrences in relation to depth throughout the world (Sigurjónsson 1995, Kasamatsu et al. 2000, Hamazaki 2002, Moore et al. 2002) and is reflected by our choice of niche category.”
Influence of thermal fronts on habitat selection by four rorqual whale species in the Gulf of St. Lawrence (2007, methodology): “In addition, they often use SST maps that have been averaged over several days (Hamazaki 2002).”
US Atlantic and Gulf of Mexico marine mammal stock assessments - 2015 (2016, background): “In U.S. Atlantic waters, pilot whales (Globicephala sp.) are distributed principally along the continental shelf edge off the northeastern U.S. coast in winter and early spring (CETAP 1982; Payne and Heinemann 1993; Abend and Smith 1999; Hamazaki 2002).”
Comparing California Current cetacean-habitat models developed using in situ and remotely sensed sea surface temperature data (2010, methodology): “…associations (e.g. Waring et al. 1993, Jaquet & Whitehead 1996, Moore et al. 2002), satellite data typically were used to augment in situ data or when equipment failure precluded the collection of along-track data (Davis et al. 1998, Baumgartner et al. 2001, Davis et al. 2002, Hamazaki 2002).”