期刊
ECOLOGICAL INFORMATICS
卷 3, 期 3, 页码 207-217出版社
ELSEVIER
DOI: 10.1016/j.ecoinf.2008.04.001
关键词
Anguilla rostrata; otolith; Sr : Ca ratio; zoning; environmental history
类别
资金
- Natural Science and Engineering Research Council of Canada,
- Ministere de l'Agriculture
- des Peheries et de l'Alimentation du Quebec
- Ministere des Ressources Naturelles et de la Faune du Quebec
more robust meta-analyses. Zoning algorithms were used to quantitatively classify strontium:calcium otolith sequences into fish environmental histories. Otoliths were acquired from 162 American eels (Anguilla rostrata) caught in the Gaspe region of Quebec, Canada, and Sr:Ca ratios were determined at an interval of 10 mu m along a transect from the core to the edge of each otolith (the otolith sequence) using an electron probe microanalyzer. Changes between freshwater and brackish water occupancy were determined with reference to a sample of non-anadromous species including brook char (freshwater) and Fundulus sp. (brackish water). Three algorithms were then applied separately to zone the sequences into environmental histories: (i) a local zoning algorithm, which used a split-moving window; (ii) a global zoning algorithm, which used a recursive method; and (iii) an optimization zoning algorithm, which maximized the combined value of selected statistics of the fitted model within a decision-rule framework. Zones were further classified into being of either freshwater or brackish water. All algorithms produced classifications that were not significantly different to those determined using the standard approach of qualitative interpretation, demonstrating the applicability of a quantitative approach. The advantages of the quantitative approach are that (i) the statistics of the model fit provide information on environmental history patterns that is generally not available from qualitative interpretation, and (ii) the parameters of the algorithm can be reported, allowing methodological consistency between different researchers, enabling the potential for (C) 2008 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据