为野生动物元数据引入独特的动物 ID 和数字生命史博物馆

IF 6.3 2区环境科学与生态学 Q1 ECOLOGY

Methods in Ecology and Evolution Pub Date : 2024-09-12 DOI:10.1111/2041-210X.14407

Martin Wikelski, Michael Quetting, John Bates, Tanya Berger-Wolf, Gil Bohrer, Luca Börger, Taylor Chapple, Margaret C. Crofoot, Sarah C. Davidson, Dina K. N. Dechmann, Diego Ellis-Soto, Elizabeth R. Ellwood, Wolfgang Fiedler, Andrea Flack, Barbara Fruth, Novella Franconi, Rasmus Worsøe Havmøller, Julian Hirt, Nigel E. Hussey, Fabiola Iannarilli, Matthias Landwehr, Maximilian E. Müller, Thomas Mueller, Uschi Mueller, Ruth Y. Oliver, Jesko Partecke, Ivan Pokrovsky, Liya Pokrovskaya, Dustin R. Rubenstein, Christian Rutz, Kamran Safi, Andrea Santangeli, O. Louis van Schalkwyk, Ana M. M. Sequeira, Sherub Sherub, Tharmalingam Ramesh, Pauli Viljoen, Kaja A. Wasik, Timm A. Wild, Scott Yanco, Roland Kays

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引用次数: 0

摘要

在过去的五十年里，通过各种观测系统和/或临时跟踪方法，大量野生动物被单独识别出来，为我们了解它们在时间和空间上的生活提供了无与伦比的洞察力。然而，迄今为止，还没有关于唯一个体识别动物的全面记录，也没有它们的数据和元数据（如照片、生理和基因样本、疾病筛查、社会关系信息）的存储位置。数据库目前没有为活着的野生动物个体提供唯一的标识符，类似于博物馆中已故标本的永久性身份标识。为了解决这个问题，我们提出了两个新概念：(1) 全球唯一动物标识符（UAID），可用于定义在任何数据库中存档的唯一和单独标识的动物，包括在出版时存档的元数据；(2) UAID 的数字 "家"--Movebank 生命历史博物馆（MoMu），用于存储和链接与单独标识的野生动物相关的元数据、媒体、通信和其他文件。MoMu将确保为后代提供元数据，允许与其他数据库中的信息永久链接。MoMu允许研究人员收集和存储UAID动物的照片、行为记录、基因组数据和/或重见，其中包括现有数据库支持的结构化数据集中不易包含的信息。元数据可通过动物追踪应用程序、MoMu 网站、注册用户的电子邮件或任何数据库的应用编程接口（API）上传。一开始，记录可以存储在一个类似于野外抽屉的临时文件夹中，这也是博物学家的常规做法。之后，研究人员和专家可以为单个动物整理这些资料，管理敏感信息的安全共享，并在适当的情况下发布带有 DOI 的个体生命史。以 UAID（唯一标识符或 "动物护照"）存储这些野生动物的综合生命史将有助于基础科学、保护工作和公众参与。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Introducing a unique animal ID and digital life history museum for wildlife metadata

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Introducing a unique animal ID and digital life history museum for wildlife metadata

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来源期刊

Methods in Ecology and Evolution ECOLOGY-

CiteScore

11.60

自引率

3.00%

发文量

236

审稿时长

4-8 weeks

期刊介绍： A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.