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Session 2. Strengths and limitations of habitat modeling:
Techniques, data sources, and predictive capabilities

Co-Convenors:
Enyuan Fan (China)
Elliott Hazen (USA)
Sei-Ichi Saitoh (Japan)
William Sydeman (USA)
Yutaka Watanuki (Japan)

Invited Speakers:
Hiroto Murase (National Research Institute of Far Seas Fisheries, Japan)
Martin Renner (University of Washington, USA)

Habitat modeling is a powerful tool used to identify key factors affecting the distribution of marine organisms and underlying mechanisms, to predict optimal fishing grounds, to evaluate human impacts on ecosystems, and to project distribution shifts in the face of climate change. Given their broad application and utility, evaluation of the strengths and weakness of various modeling approaches is becoming increasingly important. Environmental data primarily come from satellite-based SST, SST gradient, SSH, Chl-a and their variation across time, and geographic features such as shelf breaks. Distribution data are collected from various sources, including ship-based line transect surveys, animal tracking, fisheries activities (log data, satellite-based fishing light distribution) and hence contain inevitable biases, including the selection of the survey line and season, tagging location of tracked animals, sample sizes, and type of the fishing activities. Biases are also inherent in the models being used – Generalized linear and additive models (GLMs and GAMs), Random Forests, boosted regression approaches, and Maximum Entropy modeling (MaxEnt). The session will examine factors causing biases, identify the direction of biases, discuss techniques for mitigating or accounting for biases, and create a best-practices guide for using habitat modeling approaches to predict the distribution of marine organisms in dynamic marine environments.

 
Thursday, October 23, 2014
 

Application of habitat models to highly mobile marine animals – Cetaceans in the North
Pacific as case studies (Invited)

Hiroto Murase, Toshihide Kitakado, Yu Kanaji, Hiroko Sasaki, Yoko Mitani, Koji Matsuoka, Makoto Okazaki and Naohisa Kanda
[pdf, 2 Mb]

Crossvalidating approaches to modeling habitat and distribution of seabirds at-sea (Invited)
Martin Renner
[pdf, 10 Mb]

Distribution modeling for deep-sea corals and sponges in Alaska
Chris Rooper, Mark Zimmermann, Mike Sigler and Jerry Hoff
[pdf, 1.5 Mb]

Modeling temporal variation in krill "hotspots": Size, intensity, persistence and coherence
with krill predators

Jarrod A. Santora, Jeffrey Dorman and William J. Sydeman
[pdf, 5.5 Mb]

Prediction of zooplankton community Spatial-Temporal patterns in the Chukchi Sea – Case
study using habitat modeling approach

Hiroko Sasaki, Kohei Matsuno, Atsushi Yamaguchi, Yutaka Watanuki and Takashi Kikuchi
[waiting for permission]

Comparison of habitat suitability models for neon flying squid (Ommastrephes bartramii) in
western and central North Pacific

Irene Alabia, Sei-Ichi Saitoh, Hiromichi Igarashi, Yoichi Ishikawa, Norihisa Usui, Masafumi
Kamachi, Awaji Toshiyuki and Masaki Seito
[waiting for permission]

GIS-based potential habitat mapping for Todarodes pacificus (common squid)
Yoon-Kyung Lee, Inhye Park, Sang-Woo Kim, Jong-Kuk Choi, Saro Lee and Joo-Hyung Ryu
[waiting for permission]

Is seabird bycatch rate affected by the seabird distribution? Estimation of seabird distribution for bycatch risk assessment
Yukiko Inoue, Makoto Okazaki, Maria P. Dias, Cleo Small and Hiroshi Minami
[permission to post denied, contact presenter]

Cassin's Auklet at-sea distribution and exposure to stressors such as ship-source oil pollution
and microplastics

Patrick D. O'Hara, Ken Morgan, Jamie McDevitt-Irwin, Jean-Pierre W. Desforges, Peter S. Ross and Sean Boyd
[pdf, 4 Mb]

A multi-model ensemble prediction of habitat suitability index (HSI) models for neon flying
squid in central North Pacific by using 3-D ocean data assimilation product

Hiromichi Igarashi, Toshiyuki Awaji, Masafumi Kamachi, Yoichi Ishikawa, Norihisa Usui, Masaaki Iiyama, Yosuke Onoue, Mitsuo Sakai, Yoshiki Kato, Irene Alabia, Sei-ichi Saitoh and Masaki Seitoh
[pdf, 3 Mb]

 
 
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