Spectral analysis unmasks synchronous and compensatory dynamics in plankton communities

被引:91
作者
Vasseur, David A.
Gaedke, Ursula
机构
[1] McGill Univ, Dept Biol, Montreal, PQ H3A 1B1, Canada
[2] Univ Potsdam, Inst Biochim & Biol, D-14469 Potsdam, Germany
关键词
community; population; portfolio effect; spectral analysis; time series; variability;
D O I
10.1890/06-1899.1
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Community biomass is often less variable than the biomasses of populations within the community, yet attempts to implicate compensatory dynamics between populations as a cause of this relationship often fail. In part, this may be due to the lack of appropriate metrics for variability, but there is also great potential for large-scale processes such as seasonality or longer-term environmental change to obscure important dynamics at other temporal scales. In this study, we apply a scale-resolving method to long-term plankton data, to identify the specific temporal scales at which community-level variability is influenced by synchrony or compensatory dynamics at the population level. We show that variability at both the population and community level is influenced strongly by a few distinct temporal scales: in phytoplankton, ciliate, rotifer, and crustacean communities, synchronous dynamics are predominant at most temporal scales. However, in phytoplankton and crustacean communities, compensatory dynamics occur at a sub-annual scale (and at the annual scale in crustaceans) leading to substantial reductions in community-level variability. Aggregate measures of population and community variability (to not detect compensatory dynamics in these communities; thus, resolving their scale dependence unmasks dynamics that are important for community stability in this system. The methods and results presented herein will ultimately lead to a better understanding of how stability is achieved in communities.
引用
收藏
页码:2058 / 2071
页数:14
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