National Taiwan Ocean University Institutional Repository:Item 987654321/39939
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28611/40652
Visitors : 775639      Online Users : 51
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item:

Title: An ensemble analysis to predict future habitats of striped marlin (Kajikia audax) in the North Pacific Ocean
Authors: N.-J. Su;Chi-Lu Sun;André E. Punt;S.-Z. Yeh;Y.-J. Chang;Gerard DiNardo
Contributors: 國立臺灣海洋大學:環境生物與漁業科學學系
Date: 2013-08
Issue Date: 2017-01-10T01:54:57Z
Publisher: ICES Journal of Marine Science
Abstract: Abstract:Su, N.-J., Sun, C.-L., Punt, A. E., Yeh, S.-Z., DiNardo, G., and Chang, Y.-J. 2013. An ensemble analysis to predict future habitats of striped marlin (Kajikia audax) in the North Pacific Ocean. - ICES Journal of Marine Science, 70: 1013-1022.Striped marlin is a highly migratory species distributed throughout the North Pacific Ocean, which shows considerable variation in spatial distribution as a consequence of habitat preference. This species may therefore shift its range in response to future changes in the marine environment driven by climate change. It is important to understand the factors determining the distribution of striped marlin and the influence of climate change on these factors, to develop effective fisheries management policies given the economic importance of the species and the impact of fishing. We examined the spatial patterns and habitat preferences of striped marlin using generalized additive models fitted to data from longline fisheries. Future distributions were predicted using an ensemble analysis, which represents the uncertainty due to several global climate models and greenhouse gas emission scenarios. The increase in water temperature driven by climate change is predicted to lead to a northward displacement of striped marlin in the North Pacific Ocean. Use of a simple predictor of water temperature to describe future distribution, as in several previous studies, may not be robust, which emphasizes that variables other than sea surface temperatures from bioclimatic models are needed to understand future changes in the distribution of large pelagic species. © 2013 © 2013 International Council for the Exploration of the Sea. Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected] /* */
Relation: 70(5), pp.1013-1022
Appears in Collections:[Department of Environmental Biology and Fisheries Science] Periodical Articles

Files in This Item:

There are no files associated with this item.

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback