Kissoon La Toya T, Jacob Donna L, Hanson Mark A, Herwig Brian R, Bowe Shane E, Otte Marinus L
Wet Ecosystem Research Group, Department of Biological Sciences, North Dakota State University, NDSU Department 2715, P.O. Box 6050, Fargo, ND 58108-6050.
Aquat Bot. 2013 Aug 1;109:39-48. doi: 10.1016/j.aquabot.2013.04.001.
We examined macrophyte-environment relationships in shallow lakes located within the Prairie Parkland and Laurentian Mixed Forest provinces of Minnesota. Environmental variables included land cover within lake watersheds, and within-lake, water and sediment characteristics. CCA indicated that sediment fraction smaller than 63 μm (<63), open water area, turbidity, and percent woodland and agricultural cover in watersheds were significant environmental variables explaining 36.6% of variation in macrophyte cover. When Province was added to the analysis as a spatial covariate, these environmental variables explained 30.8% of the variation in macrophyte cover. CCA also indicated that pH, <63, percent woodland cover in watersheds, open water area, emergent vegetation area, and organic matter content were significant environmental variables explaining 43.5% of the variation in macrophyte biomass. When Province was added to the analysis as a spatial covariate, these environmental variables explained 39.1% of the variation in macrophyte biomass. The <63 was the most important environmental variable explaining variation for both measures of macrophyte abundance (cover and biomass) when Province was added as a spatial covariate to the models. Percent woodland in watersheds, turbidity, open water area, and Ca+Mg explained 34.5% of the variation in macrophyte community composition. Most species showed a negative relationship with turbidity and open water area except for , , and filamentous algae. Our study further demonstrates the extent to which macrophyte abundance and community composition are related to site- and watershed-scale variables including lake morphology, water and sediment characteristics, and percent land cover of adjacent uplands.
我们研究了明尼苏达州草原公园和劳伦森混交林省内浅湖中的大型植物与环境的关系。环境变量包括湖泊流域内的土地覆盖情况,以及湖内的水和沉积物特征。典范对应分析(CCA)表明,粒径小于63μm(<63)的沉积物、开阔水域面积、浊度以及流域内林地和农业用地的比例是显著的环境变量,解释了大型植物覆盖度变化的36.6%。当将省份作为空间协变量纳入分析时,这些环境变量解释了大型植物覆盖度变化的30.8%。CCA还表明,pH值、<63、流域内林地覆盖比例、开阔水域面积、挺水植被面积和有机质含量是显著的环境变量,解释了大型植物生物量变化的43.5%。当将省份作为空间协变量纳入分析时,这些环境变量解释了大型植物生物量变化的39.1%。当将省份作为空间协变量纳入模型时,<63是解释大型植物丰度(覆盖度和生物量)这两种指标变化的最重要环境变量。流域内林地比例、浊度、开阔水域面积和钙镁含量解释了大型植物群落组成变化的34.5%。除了[此处原文缺失具体物种名称]、[此处原文缺失具体物种名称]和丝状藻外,大多数物种与浊度和开阔水域面积呈负相关。我们的研究进一步证明了大型植物丰度和群落组成与包括湖泊形态、水和沉积物特征以及相邻高地土地覆盖比例在内的场地和流域尺度变量之间的关联程度。