Karadimou Elpida K, Kallimanis Athanasios S, Tsiripidis Ioannis, Dimopoulos Panayotis
Department of Environmental and Natural Resources Management, University of Patras, Seferi 2, GR-30100, Agrinio, Greece.
School of Biology, Aristotle University of Thessaloniki, GR-54124, Thessaloniki, Greece.
Sci Rep. 2016 Oct 18;6:35420. doi: 10.1038/srep35420.
The relationship between species richness and area is one of the few well-established laws in ecology, and one might expect a similar relationship with functional diversity (FD). However, only a few studies investigate the relationship between trait-based FD and area, the Functional Diversity - Area Relationship (FDAR). To examine FDAR, we constructed the species accumulation curve and the corresponding FD curve. We used plant diversity data from nested plots (1-128 m), recorded on the Volcanic islands of Santorini Archipelagos, Greece. Six multidimensional FD indices were calculated using 26 traits. We identified a typology of FDARs depending on the facet of FD analyzed: (A) strongly positive for indices quantifying the range of functional traits in the community, (B) negative correlation for indices quantifying the evenness in the distribution of abundance in the trait space, (C) no clear pattern for indices reflecting the functional similarity of species and (D) idiosyncratic patterns with area for functional divergence. As area increases, the range of traits observed in the community increases, but the abundance of traits does not increase proportionally and some traits become dominant, implying a reliance on some functions that may be located in either the center or the periphery of the trait space.
物种丰富度与面积之间的关系是生态学中少数已确立的规律之一,人们可能会预期功能多样性(FD)也存在类似关系。然而,只有少数研究调查了基于性状的功能多样性与面积之间的关系,即功能多样性 - 面积关系(FDAR)。为了研究FDAR,我们构建了物种累积曲线和相应的功能多样性曲线。我们使用了来自希腊圣托里尼群岛火山岛嵌套样地(1 - 128平方米)的植物多样性数据。利用26个性状计算了六个多维功能多样性指数。根据所分析的功能多样性方面,我们确定了FDAR的一种类型:(A)对于量化群落中功能性状范围的指数呈强正相关,(B)对于量化性状空间中丰度分布均匀度的指数呈负相关,(C)对于反映物种功能相似性的指数没有明确模式,以及(D)功能分化与面积呈现特殊模式。随着面积增加,群落中观察到的性状范围增加,但性状的丰度并非成比例增加,并且一些性状变得占主导地位,这意味着依赖于可能位于性状空间中心或边缘的某些功能。