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从观测数据推断物种灭绝情况。

Inferring species extinction from sighting data.

作者信息

McCrea Rachel S, Cheale Thomas, Campillo-Funollet Eduard, Roberts David L

机构信息

School of Mathematical Sciences, Fylde College, Lancaster University, Lancaster, UK.

School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK.

出版信息

Camb Prism Extinct. 2024 Nov 25;2:e19. doi: 10.1017/ext.2024.18. eCollection 2024.

Abstract

Understanding whether a species still persists, or the timing of its extinction is challenging, however, such knowledge is fundamental for effective species management.For the vast majority of species our understanding of their existence is based solely on sighting data that can range from museum specimens and clear photographs, through vocalisations, to markings and oral accounts.Here we review the methods that have been developed to infer the extinction of species from a sighting record, providing an understanding of their assumptions and applications. We have also produced an RShiny package which can be used to implement some of the methods presented in the article.While there are a number of potential areas that could be further developed, the methods reviewed provide a useful tool for inferring species extinction.

摘要

然而,要确定一个物种是否仍然存在,或者其灭绝的时间是具有挑战性的,不过,这些知识对于有效的物种管理至关重要。对于绝大多数物种,我们对它们存在的了解仅仅基于目击数据,这些数据的范围可以从博物馆标本和清晰的照片,到发声、标记和口头描述。在这里,我们回顾了为从目击记录中推断物种灭绝而开发的方法,对它们的假设和应用进行了说明。我们还制作了一个RShiny包,可用于实施本文中介绍的一些方法。虽然有许多潜在领域可以进一步开发,但所回顾的方法为推断物种灭绝提供了一个有用的工具。

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本文引用的文献

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