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Seaweed functional diversity revisited: Confronting traditional groups with quantitative traits
Journal of Ecology ( IF 5.3 ) Pub Date : 2020-07-02 , DOI: 10.1111/1365-2745.13460
Alizée R. L. Mauffrey 1 , Laura Cappelatti 1 , John N. Griffin 1
Affiliation  

  1. Macroalgal (seaweed) beds and forests fuel coastal ecosystems and are rapidly reorganizing under global change, but quantifying their functional structure still relies on binning species into coarse groups on the assumption that they adequately capture relevant underlying traits.
  2. To interrogate this ‘group gambit’, we measured 12 traits relating to competitive dominance and resource economics across 95 macroalgal species collected from the UK and widespread on North‐East Atlantic rocky shores. We assessed the amount of trait variation explained by commonly used traditional groups—(a) two schemes based on gross morphology and anatomy and (b) two categorizations of vertical space use—and examined species reclassification into post hoc, so‐called emergent groups arising from the functional trait dataset. We then offer an alternative, emergent grouping scheme of macroalgal functional diversity.
  3. (a) Morphology and anatomy‐based groups explained slightly more than a third of multivariate trait expression with considerable group overlap (i.e. low precision) and extensive mismatch with underlying trait expression (i.e. low accuracy). (b) Categorizations of vertical space use accounted for about a quarter of multivariate trait expression with considerable group overlap. Nonetheless, turf species tended to display attributes of opportunistic forms. (c) A nine‐group emergent scheme provided a highly explanatory and parsimonious alternative to traditional functional groupings.
  4. Synthesis. Our analysis using a comprehensive dataset of directly measured functional traits revealed a general mismatch between traditional groups and underlying traits, highlighting the deficiencies of the group gambit in macroalgae. While existing grouping schemes may allow first order approximations, they risk considerable loss of information at the trait and, potentially, ecosystem levels. Instead, we call for further development of a trait‐based approach to macroalgal functional ecology to capture unfolding community and ecosystem changes with greater accuracy and generality.


中文翻译:

重新审视海藻功能多样性:面对具有定量特征的传统群体

  1. 大型藻类(海藻)和森林为沿海生态系统提供了动力,并在全球变化下迅速重组,但在对其功能结构进行量化的前提下,假设它们已充分捕获了相关的基本特征,则仍将这些物种分为几类。
  2. 为了审视这种“群体倾向”,我们测量了从英国收集并广泛分布于东北大西洋多岩石海岸的95种大型藻类物种的与竞争优势和资源经济学有关的12个特征。我们评估了常用传统群体解释的性状变异量(a)基于总体形态学和解剖学的两种方案,b)垂直空间使用的两种分类-并检查了物种重新分类为事后即所谓的新兴群体的情况。从功能特征数据集。然后,我们提供了一种替代的,突发的宏藻功能多样性分组方案。
  3. (a)形态学和基于解剖学的研究组解释了多于三分之一的多性状表达,具有明显的组重叠(即低准确度)和与基础特征表达广泛不匹配(即低准确度)的情况。(b)垂直空间使用的分类约占多变量特征表达的四分之一,且群体有大量重叠。但是,草皮物种倾向于表现出机会主义形式的属性。(c)九组紧急方案为传统功能组提供了高度解释性和简约性的替代方案。
  4. 综合。我们使用直接测量的功能性状的综合数据集进行的分析揭示了传统群体与潜在性状之间的普遍不匹配,突出了大型藻类中群体的缺陷。虽然现有的分组方案可能允许一阶近似,但是它们冒着在特征以及潜在的生态系统水平上损失大量信息的风险。相反,我们呼吁进一步开发基于特征的宏观藻类功能生态学方法,以更高的准确性和通用性捕获不断发展的社区和生态系统变化。
更新日期:2020-07-02
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