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本文引用的文献

1
Predicting species distribution: offering more than simple habitat models.预测物种分布:提供的不仅仅是简单的栖息地模型。
Ecol Lett. 2005 Sep;8(9):993-1009. doi: 10.1111/j.1461-0248.2005.00792.x. Epub 2005 Jun 23.
2
Tracking the long-distance dispersal of marine organisms: sensitivity to ocean model resolution.追踪海洋生物的长距离扩散:对海洋模型分辨率的敏感性。
J R Soc Interface. 2013 Jan 24;10(81):20120979. doi: 10.1098/rsif.2012.0979. Print 2013 Apr 6.
3
Simulating transoceanic migrations of young loggerhead sea turtles: merging magnetic navigation behavior with an ocean circulation model.模拟幼年红海龟的跨洋洄游:将磁性导航行为与海洋环流模型相结合。
J Exp Biol. 2012 Jun 1;215(Pt 11):1863-70. doi: 10.1242/jeb.067587.
4
On the dispersal of leatherback turtle hatchlings from Mesoamerican nesting beaches.关于中美洲筑巢海滩上棱皮龟幼龟的扩散。
Proc Biol Sci. 2012 Jun 22;279(1737):2391-5. doi: 10.1098/rspb.2011.2348. Epub 2012 Feb 29.
5
Is the geographic distribution of nesting in the Kemp's ridley turtle shaped by the migratory needs of offspring?坎皮海龟的筑巢地理分布是否受后代迁徙需求的影响?
Integr Comp Biol. 2010 Sep;50(3):305-14. doi: 10.1093/icb/icq041. Epub 2010 May 11.
6
Ontogenetic development of migration: Lagrangian drift trajectories suggest a new paradigm for sea turtles.个体发生发育中的洄游:拉格朗日漂流轨迹为海龟提供了一个新的范例。
J R Soc Interface. 2010 Sep 6;7(50):1319-27. doi: 10.1098/rsif.2010.0009. Epub 2010 Mar 17.
7
An emerging movement ecology paradigm.一种新兴的运动生态学范式。
Proc Natl Acad Sci U S A. 2008 Dec 9;105(49):19050-1. doi: 10.1073/pnas.0808918105. Epub 2008 Dec 5.

预测大洋性阶段坎皮海龟的分布。

Predicting the distribution of oceanic-stage Kemp's ridley sea turtles.

机构信息

Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR 97331, USA.

出版信息

Biol Lett. 2013 Aug 14;9(5):20130345. doi: 10.1098/rsbl.2013.0345. Print 2013 Oct 23.

DOI:10.1098/rsbl.2013.0345
PMID:23945206
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3971672/
Abstract

The inaccessibility of open ocean habitat and the cryptic nature of small animals are fundamental problems when assessing the distribution of oceanic-stage sea turtles and other marine animals sharing similar life-history traits. Most methods that estimate patterns of abundance cannot be applied in situations that are extremely data limited. Here, we use a movement ecology framework to generate the first predicted distributions for the oceanic stage of the Kemp's ridley sea turtle (Lepidochelys kempii). Our simulations of particle dispersal within ocean circulation models reveal substantial annual variation in distribution and survival among simulated cohorts. Such techniques can help prioritize areas for conservation, and supply inputs for more realistic demographic models attempting to characterize population trends.

摘要

当评估具有相似生活史特征的海洋阶段海龟和其他海洋动物的分布时,开放海洋栖息地的不可及性和小型动物的隐蔽性是基本问题。大多数估计丰度模式的方法在数据极为有限的情况下无法应用。在这里,我们使用运动生态学框架为坎皮海龟(Lepidochelys kempii)的海洋阶段生成第一个预测分布。我们在海洋环流模型中模拟粒子扩散的结果揭示了模拟群体之间分布和生存的显著年度变化。此类技术有助于确定保护的优先区域,并为更现实的人口模型提供投入,以试图描述种群趋势。