Accurately assessing community diversity patterns across distributional ranges is critically important for informed and effective management of ecological communities. Yet, for many wide‐ranging communities diversity patterns across broad ranges are poorly known. We apply a range of analytical approaches to an extensively studied ecological community to determine the relative utility and complementarity of these analytical approaches and their applicability for improved management. White Box Yellow Box Blakely’s Red Gum Woodland (herein abbreviated to BGW) occurs across seven bioregions in New South Wales, eastern Australia. Previous work has suggested either small levels of regional variation in floristic patterns or, contrastingly, up to ~80 variants determined by expert‐driven assessment. We undertook floristic survey and analysed floristic patterns using multivariate dispersion, diversity metrics (alpha (α) diversity, beta (β) diversity, gamma (γ) diversity and zeta (ζ) diversity; including assessments of β turnover and nestedness and higher order ζ diversity). Expert‐derived BGW variants were not clearly related to patterns of floristic variation. In this study, multivariate interactions were critical to identifying patterns of floristic variation. ζ diversity provided insights into bioregional variation not detected via other analytics and was more robust to unbalanced data than β diversity. However, β diversity provided important insights, detecting changing community patterns within a bioregion that would otherwise not be detected and allowing for some comparison of our results with other studies. This study highlights the value of applying multiple analytical approaches to the understanding of floristic patterns. Conservation of floristic diversity in BGW requires protection and management across its range, something which has not previously been adequately addressed.

中文翻译：

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多种分析重定向了濒临灭绝的生态社区的管理和恢复重点

准确评估整个分布范围内的社区多样性模式对于有效，有效地管理生态社区至关重要。然而，对于许多广泛的社区而言，广为人知的跨区域多样性模式却鲜为人知。我们对广泛研究的生态群落应用了一系列分析方法，以确定这些分析方法的相对效用和互补性以及它们在改善管理中的适用性。White Box Yellow Box Blakely的Red Gum林地（以下简称BGW）遍布澳大利亚东部新南威尔士州的七个生物区域。先前的工作表明，植物区系的区域性变化较小，或者相反，专家驱动的评估确定了约80种变化。我们进行了植物学调查，并使用多元分散度，多样性指标（α（α）多样性，β（β）多样性，γ（γ）多样性和zeta（ζ）多样性）分析了植物区系；包括对β周转率和嵌套度以及更高阶ζ的评估多样性）。专家衍生的BGW变体与植物区系变化的模式没有明显关系。在这项研究中，多变量相互作用对于确定植物区系变异的模式至关重要。ζ多样性提供了无法通过其他分析方法检测到的生物区域变化的见解，并且比β多样性对不平衡数据的鲁棒性更高。但是，β多样性提供了重要的见识，可以检测到生物区域内变化的群落模式，否则将无法被发现，并且可以将我们的结果与其他研究进行一些比较。这项研究强调了应用多种分析方法来理解植物区系的价值。保护BGW的植物多样性需要在其整个范围内进行保护和管理，这在以前还没有得到适当解决。