下一代分类学的前景

Megataxa Pub Date : 2020-01-31 DOI:10.11646/megataxa.1.1.6
M. Vences
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引用次数: 16

摘要

记录、命名和分类地球上的生命多样性提供了关于生物圈的基本信息,这对于理解和减轻人类世的全球变化至关重要。我们应该迎接三个主要的挑战:利用新技术的发展,而不是抛弃林奈命名法中久经考验的成功基础。1. 完全接受网络分类法、机器学习和DNA分类法,以减轻分类学家的工作流程,而不是负担。2. 强调诊断而不是描述,强调图像而不是文字。3.了解组学方法的承诺和陷阱,以避免分类膨胀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The promise of next-generation taxonomy
Documenting, naming and classifying the diversity of life on Earth provides baseline information on the biosphere, which is crucially important to understand and mitigate the global changes of the Anthropocene. We should meet three main challenges, using new technological developments without throwing the well-tried and successful foundations of Linnaean nomenclature overboard. 1. Fully embrace cybertaxonomy, machine learning and DNA taxonomy to ease, not burden the workflow of taxonomists. 2. Emphasize diagnosis over description, images over words. 3. Understand promises and pitfalls of omics approaches to avoid taxonomic inflation.
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