Hessen Dag O, Faafeng Bjørn A, Smith Val H, Bakkestuen Vegar, Walseng Bjørn
University of Oslo, Department of Biology, Norway.
Ecology. 2006 Feb;87(2):433-43. doi: 10.1890/05-0352.
Pelagic crustacean zooplankton were collected from 336 Norwegian lakes covering a wide range of latitude, altitude, lake area, mean depth, production (as chlorophyll a), and fish community structure. Mean zooplankton species richness during the ice-free season was generally low at high latitudes and altitudes. Further, lower species richness was recorded in western lakes, possibly reflecting constraints on migration and dispersal. However, despite obvious spatial limitations, geographic boundaries were only weak predictors of mean zooplankton richness. Similarly, lake surface area did not contribute positively to mean richness such as seen in other ecosystem surveys. Rather, intrinsic factors such as primary production and fish community (planktivore) structure were identified by regression analysis as the major predictors of zooplankton diversity, while a positive correlation was observed between species richness and total zooplankton biomass. However, in spite of a large number of variables included in this study, the predictive power of multiple regression models was modest (<50% variance explained), pointing to a major role for within-lake properties, as yet unidentified intrinsic forces, stochasticity, or dispersal as constraints on zooplankton diversity in these lakes.
从336个挪威湖泊中采集了远洋甲壳类浮游动物,这些湖泊涵盖了广泛的纬度、海拔、湖泊面积、平均深度、生产力(以叶绿素a衡量)和鱼类群落结构。在无冰季节,高纬度和高海拔地区浮游动物的平均物种丰富度通常较低。此外,西部湖泊的物种丰富度较低,这可能反映了对迁徙和扩散的限制。然而,尽管存在明显的空间限制,但地理边界对浮游动物平均丰富度的预测能力较弱。同样,湖泊表面积对平均丰富度没有像其他生态系统调查中那样产生积极影响。相反,通过回归分析确定,初级生产力和鱼类群落(食浮游生物者)结构等内在因素是浮游动物多样性的主要预测指标,而物种丰富度与浮游动物总生物量之间存在正相关。然而,尽管本研究纳入了大量变量,但多元回归模型的预测能力一般(解释的方差<50%),这表明湖泊内部属性、尚未确定的内在力量、随机性或扩散作为这些湖泊浮游动物多样性的限制因素起着主要作用。