Schalau Kristine, Rinke Karsten, Straile Dietmar, Peeters Frank
Limnological Institute, University of Konstanz, Mainaustrasse 252, 78464 Constance, Germany.
Oecologia. 2008 Sep;157(3):531-43. doi: 10.1007/s00442-008-1081-3. Epub 2008 Jun 24.
Plankton succession during spring/early summer in temperate lakes is characterised by a highly predictable pattern: a phytoplankton bloom is grazed down by zooplankton (Daphnia) inducing a clear-water phase. This sequence of events is commonly understood as a cycle of consumer-resource dynamics, i.e. zooplankton growth is driven by food availability. Here we suggest, using a modelling study based on a size-structured Daphnia population model, that temperature and not food is the dominant factor driving interannual variability of Daphnia population dynamics during spring. Simply forcing this model with a seasonal temperature regime typical for temperate lakes is sufficient for generating the distinctive seasonal trajectory of Daphnia abundances observed in meso-eutrophic temperate lakes. According to a scenario analysis, a forward shift of the vernal temperature increase by 60 days will advance the timing of the Daphnia maximum on average by 54 days, while a forward shift in the start of the spring bloom by 60 days will advance the Daphnia maximum only by less than a third (17 days). Hence, the timing of temperature increase was more important for the timing of Daphnia development than the timing of the onset of algal growth. The effect of temperature is also large compared to the effect of applying different Daphnia mortality rates (0.055 or 0.1 day(-1), 38 days), an almost tenfold variation in phytoplankton carrying capacity (25 days) and a tenfold variation in Daphnia overwintering abundance (3 days). However, the standing stock of Daphnia at its peak was almost exclusively controlled by the phytoplankton carrying capacity of the habitat and seems to be essentially independent of temperature. Hence, whereas food availability determines the standing stock of Daphnia at its spring maximum, temperature appears to be the most important factor driving the timing of the Daphnia maximum and the clear-water phase in spring.
温带湖泊在春季/初夏期间的浮游生物演替具有高度可预测的模式:浮游植物大量繁殖被浮游动物(水蚤)消耗殆尽,从而引发清水期。这一系列事件通常被理解为消费者 - 资源动态循环,即浮游动物的生长受食物供应驱动。在此,我们通过基于大小结构的水蚤种群模型进行建模研究表明,在春季,驱动水蚤种群动态年际变化的主导因素是温度而非食物。仅用温带湖泊典型的季节性温度模式来驱动这个模型,就足以产生在中富营养温带湖泊中观察到的水蚤数量独特的季节性轨迹。根据情景分析,春季温度升高提前60天,平均会使水蚤数量达到峰值的时间提前54天,而春季水华开始时间提前60天,只会使水蚤数量达到峰值的时间提前不到三分之一(17天)。因此,温度升高的时间对水蚤发育时间的影响比藻类生长开始时间的影响更为重要。与应用不同的水蚤死亡率(0.055或0.1天⁻¹,38天)、浮游植物承载能力近十倍的变化(25天)以及水蚤越冬数量十倍的变化(3天)相比,温度的影响也很大。然而,水蚤数量峰值时的现存生物量几乎完全由栖息地的浮游植物承载能力控制,似乎基本上与温度无关。因此,虽然食物供应决定了春季水蚤数量峰值时的现存生物量,但温度似乎是驱动春季水蚤数量达到峰值时间和清水期的最重要因素。