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Increased ecosystem variability and reduced predictability following fertilisation: Evidence from palaeolimnology

机译:施肥后生态系统变异性增加,可预测性降低:古泌尿科的证据

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We tested the hypothesis that fertilisation increases community and ecosystem variability while reducing predictability using annual fossil records from fertilised Lake 227, Experimental Lakes Area, Ontario, Canada. Comparison of fossil pigments from unperturbed and eutrophied periods using a median-log Levene's test demonstrated that variability increased significantly during enrichment for total algae (chlorophyll a, sum of carotenoids), cyanobacteria (aphanizophyll, lutein-zeaxanthin), chlorophytes (pheophytin b, lutein-zeaxanthin), and cryptophytes (alloxanthin), but not for other algal taxa (chrysophytes, dinoflagellates) or herbivory (pheophorbides). Dynamic linear models (DLMs) of individual time series showed that forecast accuracy declined during enrichment for taxa which showed increased variability, while forecast uncertainty increased for all fossil pigments. DLMs of simulated data identified a strong inverse relationship between variability and predictability, suggesting that predictability will decline whenever variability increases. These findings imply that anthropogenic eutrphication of ecosystems may destabilise lakes, obscure impacts of global change, and reduce the sensitivity of whole-ecosystem experiments.
机译:我们使用来自加拿大安大略省实验湖地区的受精湖227的年度化石记录,测试了施肥增加群落和生态系统变异性同时降低可预测性的假设。使用中位数对数Levene检验比较未扰动阶段和富营养化时期的化石颜料,结果表明,在富集总藻类(叶绿素a,类胡萝卜素的总和),蓝细菌(aphanizophyll,叶黄素-玉米黄质),叶绿素(ophophytin b,叶黄素)的过程中,变异性显着增加-玉米黄质)和隐藻类(别黄嘌呤),但不适用于其他藻类类(金藻类,鞭毛藻)或食草类(脱镁叶绿素)。各个时间序列的动态线性模型(DLM)显示,在富集期间,分类单元的预测准确性下降,这表明变异性增加,而所有化石颜料的预测不确定性都增加。模拟数据的DLM确定了变异性与可预测性之间的强反比关系,这表明可预测性将在可变性增加时下降。这些发现表明,人为生态系统的富营养化可能会使湖泊不稳定,掩盖全球变化的影响,并降低整个生态系统实验的敏感性。

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