A working guide to harnessing generalized dissimilarity modelling for biodiversity analysis and conservation assessment
A working guide to harnessing generalized dissimilarity modelling for biodiversity analysis and conservation assessment
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DOI：
10.1111/geb.13459
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发表时间：
2022-02
影响因子：
6.4
通讯作者：
K. Mokany;C. Ware;Skipton N. C. Woolley;S. Ferrier;M. Fitzpatrick
中科院分区：
文献类型：
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作者：
K. Mokany;C. Ware;Skipton N. C. Woolley;S. Ferrier;M. Fitzpatrick
目的广义相异度模型(GDM)是描述和预测贝塔多样性(即生物多样性在空间、时间和环境梯度上的变化)的强大而独特的方法。应用全球生物多样性管理的研究数量正在增加，越来越多的人认识到它在增进我们对生物多样性格局驱动因素的理解以及实施与生物多样性保护有关的各种空间评估方面的价值。然而，除了最初对GDM技术的介绍外，对于在不同情况下应用GDM或所需的关键建模决策方面，用户几乎没有可用的指导。我们描述了GDM的发展背景，对模型拟合的工作原理进行了简单的统计解释，并逐步介绍了数据准备、模型拟合、改进和评估中涉及的关键考虑因素。然后，我们描述了如何使用GDM实现几种新颖的空间生物多样性分析，并用代码支持更广泛的实现。最后，我们概述了迄今为止已经进行的基于GDM的分析的范围，并确定了未来研究和开发的优先领域。主要结论我们的愿景是，本工作指南将促进更多和更严格地使用GDM作为进行生物多样性分析和评估的强大工具。
AimGeneralized dissimilarity modelling (GDM) is a powerful and unique method for characterizing and predicting beta diversity, the change in biodiversity over space, time and environmental gradients. The number of studies applying GDM is expanding, with increasing recognition of its value in improving our understanding of the drivers of biodiversity patterns and in implementing a wide variety of spatial assessments relevant to biodiversity conservation. However, apart from the original presentation of the GDM technique, there has been little guidance available to users on applying GDM to different situations or on the key modelling decisions required.InnovationWe present an accessible working guide to GDM. We describe the context for the development of GDM, present a simple statistical explanation of how model fitting works, and step through key considerations involved in data preparation, model fitting, refinement and assessment. We then describe how several novel spatial biodiversity analyses can be implemented using GDM, with code to support broader implementation. We conclude by providing an overview of the range of GDM‐based analyses that have been undertaken to date and identify priority areas for future research and development.Main conclusionsOur vision is that this working guide will facilitate greater and more rigorous use of GDM as a powerful tool for undertaking biodiversity analyses and assessments.