生物多样性中的高阶差异:识别空间或时间异质性结构的异质性

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-07-17 DOI:10.1111/2041-210X.14363
Ryosuke Nakadai, Keita Fukasawa, Taku Kadoya, Fumiko Ishihama
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引用次数: 0

摘要

阐明生物多样性模式及其背景过程对生物多样性科学至关重要。基于多变量生物量计算的差异性是生物多样性的一个主要组成部分。随着生物多样性时空信息的增加,相似性研究的范围也不断扩大,涵盖了不同层次和类型的生物多样性时空面(如基因、群落和生态系统功能),并开发了多种成对相似性指数。然而,在生物多样性组成模式的时空结构比较研究中,如探索类群间生物地理边界共性的研究中,与传统研究相比,需要进一步发展相似性概念,以考虑更高的相似性维度:相似性结构的相似性。本研究提出了一个新颖的通用概念--高阶相似性(HOD),用于定量评估不同数据集之间的空间或时间相似性结构的相似性,并提出了 HOD 作为操作指标的具体实现方法,同时说明了通过 HOD 解决科学和实际问题的潜力。通过将 HOD 概念应用于实际模式,如长期和/或大空间假定监测数据集,我们进一步展示了 HOD 概念的优势。我们关于 HOD 的概念框架扩展了现有的生物多样性科学框架,具有多功能性,在从不断增加的生物多样性数据中获取更有价值的信息方面有许多潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Higher-order dissimilarity in biodiversity: Identifying dissimilarities of spatial or temporal dissimilarity structures

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来源期刊
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.
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