NERC-MOST Biodiversity change: integrating taxonomic, phylogenetic and functional diversity

NERC-MOST 生物多样性变化：整合分类学、系统发育和功能多样性

• 批准号: NE/T004487/1
• 负责人: Anne Magurran
• 金额: $ 10.25万
• 依托单位: University of St Andrews
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FT004487%2F1
• 关键词: NERC; MOST; Biodiversity; change; integrating

Global warming, environmental change/degradation and human activities have led to an unprecedented threat to the world's biodiversity. How to quantify and estimate biodiversity change - how biodiversity is changing over time - has become one of the most pressing issues in biology, ecology, evolution, environmental science, bioinformatics, and related research fields. Robust and meaningful diversity measures that possess good mathematical/statistical properties and support biological reasoning about diversity are required. To date, most of the effort has been directed towards quantifying taxonomic diversity - i.e. species relative abundance and composition. However, it is now recognized that biodiversity has multiple dimensions and that it is essential to consider phylogenetic and functional diversity as well. Fortunately, remarkable progress in our understanding of phylogenies and the extensive collection of species traits opens the door to innovative approaches to the measurement and assessment of biodiversity change. At the same time, this is a complex challenge; collaboration among ecologists and mathematicians/statisticians is essential to tackle it. This project will bring together world experts in the assessment of biodiversity, in a new collaboration. Its goal is to develop an integrated mathematical and statistical framework to quantify and estimate changes in taxonomic, phylogenetic and functional diversity, focusing on the BioTIME database. The focus of the work will be ecological assemblages, and how they change through time. Project partners are Sandra Diaz (Argentina), a world leader in quantifying functional diversity, and Anne Chao (leading the MOST component of the work) who is globally renowned for her statistical contributions to the quantification of biodiversity. They will collaborate with the UK (St Andrews) team (Anne Magurran and Maria Dornelas) who have pioneered the quantification of biodiversity change in taxonomic diversity. The new methodology will permit rigorous analysis of diversity changes for alpha, beta and gamma diversities based on all three dimensions of biodiversity (taxonomic, functional, phylogenetic). Access to the BioTIME database (biotime.st-andrews.ac.uk), currently the world's largest repository of assemblage time series, will provide a proof of concept of the methodology. We will also develop appropriate user-friendly, self-interpreting software, complete with online versions, and maintain a website featuring all software and statistical tools developed in this project. By offering a number of short visiting fellowships to postdocs, who will have an opportunity to work on key components of the analyses, we will increase the global reach of the collaboration. A workshop will provide a further opportunity to disseminate findings and secure the future of the collaboration. The project will thus forge a strong partnership between researchers who have not had the opportunity to work together in the past, while providing innovative solutions to an urgent ecological challenge.

全球变暖，环境变化/退化和人类活动导致了对世界生物多样性的前所未有的威胁。如何量化和估计生物多样性变化 - 生物多样性如何随着时间的流逝而变化 - 已成为生物学，生态学，进化，环境科学，生物信息学和相关研究领域最紧迫的问题之一。需要具有良好数学/统计特性并支持关于多样性的生物学推理的强大而有意义的多样性度量。迄今为止，大多数努力都用于量化分类学多样性 - 即物种相对丰度和组成。但是，现在已经认识到生物多样性具有多个维度，并且必须考虑系统发育和功能多样性。幸运的是，我们对系统发育的理解和广泛的物种特质收集的显着进步为生物多样性变化的测量和评估的创新方法打开了大门。同时，这是一个复杂的挑战。生态学家和数学家/统计学家之间的合作对于解决这个问题至关重要。该项目将在新的合作中汇集世界专家评估生物多样性。它的目标是开发一个综合的数学和统计框架，以量化和估计分类学，系统发育和功能多样性的变化，重点是生物ime数据库。工作的重点将是生态组合，以及它们如何随着时间的流逝而变化。项目合作伙伴是量化功能多样性的世界领导者桑德拉·迪亚兹（Sandra Diaz）（阿根廷），而安妮·乔（Anne Chao）（领导着作品中最大的组成部分），他们以其对量化生物多样性的统计贡献而享有盛誉。他们将与英国（圣安德鲁斯）团队（Anne Magurran和Maria Dornelas）合作，他们开创了分类学多样性中生物多样性变化的量化。新方法将根据生物多样性的所有三个维度（分类学，功能，系统发育），对α，beta和伽马多样性的多样性变化进行严格分析。访问Biotime数据库（Biotime.st-Andrews.ac.uk），目前是世界上最大的组合时间序列存储库，将提供该方法的概念证明。我们还将开发适当的用户友好，自我解释软件，并配有在线版本，并维护一个网站，其中包含本项目中开发的所有软件和统计工具。通过向PostDocs提供许多简短的访问奖学金，他们将有机会研究分析的关键组成部分，我们将增加合作的全球范围。研讨会将提供进一步的机会来传播发现并确保合作的未来。因此，该项目将在没有机会共同努力的研究人员之间建立牢固的伙伴关系，同时为紧急生态挑战提供创新的解决方案。

项目成果

Rarefaction and extrapolation with beta diversity under a framework of H ill numbers: The iNEXT . beta3D standardization

希尔数框架下的β多样性稀疏和外推：iNEXT。

• DOI: 10.1002/ecm.1588
• 发表时间: 2023
• 期刊: Ecological Monographs
• 影响因子: 6.1
• 作者: Chao A