浮游轮虫的悖论:大马苏里亚湖(波兰)群落中相似的结构但独特的轨迹

Hilary A. Smith, J. Ejsmont-Karabin, T. Hess, R. Wallace
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引用次数: 21

摘要

几十年来,生态学家一直试图描绘浮游动物群落结构的特征(GHILAROV & TIMONIN 1972, SCHMID-ARAYA 1998, CASTRO et . 2005)。许多研究使用物种丰富度(S)和物种多样性(H’)等指标。不幸的是,这些类型的研究只提供了社区组成的快照视角,而复杂的社区动态计算机模型(例如,FUSSMANN & HERBER 2002)可能需要一些研究人员无法提供的培训或资源,从而阻碍了重要的研究。通过将生物多样性与生态系统过程联系起来的研究(LOREAU & HECTOR 2001, LOREAU et al. 200l),评估多样性可能是提高我们对群落结构和功能理解的关键。因此,我们需要新的方法来评估浮游动物群落动态,而不是过分依赖复杂的统计工具。虽然我们的方法排除了多种营养水平之间相互作用的检查,但在这里,我们通过对轮虫的集中分析,探索了分析浮游动物群落组成和多样性的方法,轮虫是对淡水食物网至关重要的微观后生动物(WALLACE et al. 2006)。轮虫种群同步已在野外得到证实(康斯坦茨湖;VASSEUR & GAEDKE 2007)和单克隆种群的实验室研究(例如,FoNTAINE & GoNZALEZ 2005)。靠近湖泊可能会增加环境相似性并促进扩散,这两者都可能导致同步(FoNTAINE & GoNZALEZ 2005)。预计相邻湖泊的群落将呈现类似的趋势,我们检验了群落轨迹无差异的零假设。为了比较不同湖泊和年份的轮虫群落结构,我们对波兰东北部4个大马苏里亚湖的轮虫群落进行了多样性指数分析。_评价指标为:有效种数(ENS);公会比;原创指数(IFO);Shannon-Wiener指数(H');物种丰富度(S);物种迁移指数(STI);表1).据我们所知,这些参数从未一起应用于淡水群落组成。之前的研究采用了多种方法对群落动态进行统计分析或建模(HARVEY et al. 1983, BJ0RNSTAD 2001, RusAK et al. 2002, WHITE et al. 2006),但我们探索了使用简单指数和图形分析来给出群落趋势的初步印象。我们还引入了一种新的轮虫取食类型指数(GR),从而包括功能性状分析和多样性指数来表征群落结构。
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Paradox of planktonic rotifers: similar structure but unique trajectories in communities of the Great Masurian Lakes (Poland)
For decades ecologists have attempted to characterize zooplankton community structure (GHILAROV & TIMONIN 1972, SCHMID-ARAYA 1998, CASTRO et al. 2005). Many studies use indices such as species richness (S) and species diversity (H'). Unfortunately these kinds of studies only provide a snapshot perspective of community composition, whereas sophisticated computer models of community dynamics (e.g., FUSSMANN & HERBER 2002) may require training or resources beyond the means o f some researchers, hindering important research. With studies linking biodiversity to ecosystem processes (LOREAU & HECTOR 2001, LoREAU et al. 200 l), assessing diversity may be key to advancing our understanding of community structure and function. Thus, we need new ways to assess zooplankton community dynamics that are not overly prohibitive in their reliance on sophisticated statistical tools. Although our approach precludes examination of interactions among multiple trophic levels, here we explore ways for analyzing community composition and diversity of zooplankton through a focused analysis of rotifers, microscopic metazoans critical to freshwater food webs (WALLACE et al. 2006). Synchronization o f rotifer populations has been demonstrated in the field (Lake Constance; VASSEUR & GAEDKE 2007) and in a laboratory study of monoclonal populations (e.g., FoNTAINE & GoNZALEZ 2005). Lake proximity may increase environmental similarity and facilitate dispersal, both of which can lead to synchronization (FoNTAINE & GoNZALEZ 2005). Anticipating that communities in apposed lakes will exhibit sirnilar trends, we tested the null hypothesis of no difference in community trajectories. To compare community structure among lakes and years, we applied several diversity indices to rotifer communities in 4 of the Great Masurian Lakes o f northeastem Poland._Indices evaluated were: effective number o f species (ENS); guild ratio (GR); Index ofFaunal Originality (IFO); Shannon-Wiener index (H'); species richness (S); and Species Tumover Index (STI; Table l). To our knowledge, these parameters have never been applied together to freshwater community composition. Previous studies have employed a variety of approaches to statistically analyze or model community dynamics (HARVEY et al. 1983, BJ0RNSTAD 2001, RusAK et al. 2002, WHITE et al. 2006), but we explored the use o f simple indices and graphical analysis to give an initial impression of community trends. We also introduce a new index (GR) of rotifer feeding types, thus including a functional trait analysis with diversity indices to characterize community structure.
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