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The annual cycles of phytoplankton biomass

机译:浮游植物生物量的年循环

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摘要

Terrestrial plants are powerful climate sentinels because their annual cycles of growth, reproduction and senescence are finely tuned to the annual climate cycle having a period of one year. Consistency in the seasonal phasing of terrestrial plant activity provides a relatively low-noise background from which phenological shifts can be detected and attributed to climate change. Here, we ask whether phytoplankton biomass also fluctuates over a consistent annual cycle in lake, estuarine–coastal and ocean ecosystems and whether there is a characteristic phenology of phytoplankton as a consistent phase and amplitude of variability. We compiled 125 time series of phytoplankton biomass (chlorophyll a concentration) from temperate and subtropical zones and used wavelet analysis to extract their dominant periods of variability and the recurrence strength at those periods. Fewer than half (48%) of the series had a dominant 12-month period of variability, commonly expressed as the canonical spring-bloom pattern. About 20 per cent had a dominant six-month period of variability, commonly expressed as the spring and autumn or winter and summer blooms of temperate lakes and oceans. These annual patterns varied in recurrence strength across sites, and did not persist over the full series duration at some sites. About a third of the series had no component of variability at either the six- or 12-month period, reflecting a series of irregular pulses of biomass. These findings show that there is high variability of annual phytoplankton cycles across ecosystems, and that climate-driven annual cycles can be obscured by other drivers of population variability, including human disturbance, aperiodic weather events and strong trophic coupling between phytoplankton and their consumers. Regulation of phytoplankton biomass by multiple processes operating at multiple time scales adds complexity to the challenge of detecting climate-driven trends in aquatic ecosystems where the noise to signal ratio is high.
机译:陆生植物是强大的气候定点,因为它们的年度生长,繁殖和衰老周期可以微调到一年的一年气候周期。陆生植物活动的季节性调整的一致性提供了相对较低的噪声背景,从中可以检测到物候变化并将其归因于气候变化。在这里,我们要问在湖泊,河口-沿海和海洋生态系统中,浮游植物的生物量是否也在一个一致的年周期内波动,是否存在作为一个一致的相位和幅度变化的浮游植物特征性物候。我们编制了温带和亚热带地区浮游植物生物量(叶绿素a浓度)的125个时间序列,并使用小波分析提取了它们的主要变异期和在这些时期的复发强度。少于一半(48%)的序列具有占主导地位的12个月变异期,通常表示为规范的春季开花模式。约有20%具有六个月的显着变化期,通常表示为温带湖泊和海洋的春季和秋季或冬季和夏季的花朵。这些年度模式在各个站点的重复强度上有所不同,并且在某些站点的整个系列持续时间内并未持续。在六个月或十二个月期间,该系列的约三分之一没有变异性,反映出一系列不规则的生物量脉冲。这些发现表明,整个生态系统中浮游植物的年度循环存在很大的变异性,气候驱动的年度循环可能会被人口变异性的其他驱动因素所掩盖,包括人为干扰,非周期性天气事件以及浮游植物与其消费者之间的强营养耦合。通过在多个时间尺度上运行的多个过程来调节浮游植物生物量,增加了在信噪比高的水生生态系统中检测气候驱动趋势的挑战的复杂性。

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