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Taxonomic sufficiency in freshwater ecosystems: Effects of taxonomic resolution, functional traits, and data transformation

机译:淡水生态系统中的生物分类充足性:生物分类分辨率,功能特性和数据转换的影响

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摘要

Taxonomic sufficiency (TS) has been proposed for assessing community composition and environmental impacts as a way to balance the need to indicate the biology of the organisms present with time and effort needed for species identification. TS has been applied most often to marine and freshwater macroinvertebrates, but tests of its usefulness are lacking for other freshwater groups. We analyzed the effects of taxonomic resolution, functional groupings, and data transformation on multivariate community patterns in periphyton, macrophytes, macroinvertebrates, and fishes, and on the quantification of biodiversity and environmental gradients. The applicability of TS differed strongly among taxonomic groups, depending on the average taxonomic breadth of the species sets. Numerical data resolution had more pronounced effects on community patterns than taxonomic resolution. Richness was strongly affected by data aggregation, but diversity indices were statistically reliable up to order level. Taxonomic aggregation had no significant influence on ability to detect environmental gradients. Functional surrogates based on biological traits, such as feeding type, reproductive strategy, and trophic state, were strongly correlated (→ = 0.64-0.85) with taxonomic community composition. However, environmental correlations were generally lower with data aggregated to functional traits rather than to species. TS was universally applicable within taxonomic groups for different habitats in one biogeographic region. Aggregation to family or order was suitable for quantifying biodiversity and environmental gradients, but multivariate community analyses required finer resolution in fishes and macrophytes than in periphyton and macroinvertebrates. Sampling effort in environmental-impact studies and monitoring programs would be better invested in quantitative data and number of spatial and temporal replicates than in taxonomic detail.
机译:已经提出了生物分类充足性(TS)来评估社区组成和环境影响,以此作为一种手段来平衡表明存在的生物体的生物学需要与鉴定物种所需的时间和精力。 TS已最常用于海洋和淡水大型无脊椎动物,但尚无其他淡水种类对其有用性的测试。我们分析了分类学解析,功能分组和数据转换对周生植物,大型植物,大型无脊椎动物和鱼类中的多元群落模式以及对生物多样性和环境梯度的量化的影响。 TS的适用性在生物分类组之间有很大差异,具体取决于物种集的平均生物分类宽度。数值数据分辨率对群落模式的影响比分类学分辨率更明显。丰富度受数据聚集的强烈影响,但多样性指数在订单级别上在统计上是可靠的。分类聚集对检测环境梯度的能力没有显着影响。基于生物学特征的功能性替代物,如进食类型,生殖策略和营养状态,与生物分类群落组成密切相关(→= 0.64-0.85)。但是,与数据相关的功能性状而非物种的环境相关性通常较低。 TS在一个生物地理区域内的不同生境的分类学组中普遍适用。聚集到家庭或次序适合于量化生物多样性和环境梯度,但是多变量群落分析要求鱼类和大型植物中的分辨率要高于周围植物和大型无脊椎动物中的分辨率。在环境影响研究和监测计划中的抽样工作比在分类学细节上更好地投资于定量数据和时空重复的数量。

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