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Relationships between aquatic vegetation and water turbidity: A field survey across seasons and spatial scales

机译:水生植被与水浊度之间的关系:跨季节和空间尺度的田间调查

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摘要

Field surveys often show that high water turbidity limits cover of aquatic vegetation, while many small-scale experiments show that vegetation can reduce turbidity by decreasing water flow, stabilizing sediments, and competing with phytoplankton for nutrients. Here we bridged these two views by exploring the direction and strength of causal relationships between aquatic vegetation and turbidity across seasons (spring and late summer) and spatial scales (local and regional), using causal modeling based on data from a field survey along the central Swedish Baltic Sea coast. The two best-fitting regional-scale models both suggested that in spring, high cover of vegetation reduces water turbidity. In summer, the relationships differed between the two models; in the first model high vegetation cover reduced turbidity; while in the second model reduction of summer turbidity by high vegetation cover in spring had a positive effect on summer vegetation which suggests a positive feedback of vegetation on itself. Nitrogen load had a positive effect on turbidity in both seasons, which was comparable in strength to the effect of vegetation on turbidity. To assess whether the effect of vegetation was primarily caused by sediment stabilization or a reduction of phytoplankton, we also tested models where turbidity was replaced by phytoplankton fluorescence or sediment-driven turbidity. The best-fitting regional-scale models suggested that high sediment-driven turbidity in spring reduces vegetation cover in summer, which in turn has a negative effect on sediment-driven turbidity in summer, indicating a potential positive feedback of sediment-driven turbidity on itself. Using data at the local scale, few relationships were significant, likely due to the influence of unmeasured variables and/or spatial heterogeneity. In summary, causal modeling based on data from a large-scale field survey suggested that aquatic vegetation can reduce turbidity at regional scales, and that high vegetation cover vs. high sediment-driven turbidity may represent two self-enhancing, alternative states of shallow bay ecosystems.
机译:现场调查通常显示出高浊度限制了水生植被的覆盖,而许多小型试验表明,植被可以通过减少水流,稳定沉积物并与浮游植物竞争营养来降低浊度。在这里,我们使用因果模型,基于沿中部地区的实地调查数据,探索了季节(春季和夏末)和空间尺度(局部和区域)之间水生植被与浊度之间因果关系的方向和强度,从而将这两种观点联系起来瑞典波罗的海海岸。这两个最适合的区域尺度模型都表明,春季,高植被覆盖度可减少水的浊度。在夏季,两个模型之间的关系有所不同。在第一个模型中,高植被覆盖降低了浊度;在第二个模型中,春季高植被覆盖度降低了夏季浑浊度,对夏季植被产生了积极影响,这表明植被对其自身具有积极的反馈作用。在两个季节中,氮负荷对浊度都有积极影响,其强度与植被对浊度的影响相当。为了评估植被的影响是否主要是由沉积物稳定或浮游植物减少引起的,我们还测试了浊度被浮游植物荧光或沉积物驱动的浊度代替的模型。最适合的区域尺度模型表明,春季的高泥沙驱动的浊度会减少夏季的植被覆盖度,这反过来会对夏季的泥沙驱动的浊度产生负面影响,表明泥沙驱动的浊度对自身有潜在的正反馈作用。使用本地规模的数据,几乎没有关系很重要,这可能是由于未测变量和/或空间异质性的影响所致。总之,基于大规模实地调查数据的因果模型表明,水生植被可以减少区域尺度的浊度,高植被覆盖度与高沉积物驱动浊度可能代表浅湾的两种自增强状态,替​​代状态生态系统。

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