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. 2018 Aug 17;8:12333. doi: 10.1038/s41598-018-30748-4

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Maps showing whale behavioural state estimates. (a) Behavioural state estimates from the hierarchical state-space switching model. Panel focusses on the area of most concentrated search behaviour between 145–175 °E. Predicted probabilities of being in search behaviour obtained from (b) the GAMM using environmental predictors, and (c) averaging the GAMM predictions (n = 100) across the resampling procedure (see Methods). Colours represent the gradient from transit (P < 0.25, dark blue) through to search (P > 0.75, red) at 0.25 intervals. Right hand panels: (d,e and f) spatially aggregate these probabilities into 1° latitude ×2° longitude grid cells by averaging across individual whales. Higher mean probabilities of search behaviour shown as warmer colours. The star symbols in (d) represent areas of persistent use between tracking years. Background shading indicates bathymetry derived from the GEBCO Digital Atlas¹⁰³.