2012
DOI: 10.1016/j.jtbi.2012.06.035
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The strength of species interactions modifies population responses to environmental variation in competitive communities

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Cited by 8 publications
(20 citation statements)
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“…When two species that are differently adapted to a common environmental variable come to interact, the arising between-species environmental correlation ( ρ S ) – ρ S  = 1 means that responses are identical, ρ S  = 0 means responses are independent, and ρ S  = –1 indicates completely opposite responses – can affect population variability in closed communities [2], [14], [15], [20]. In simple competitive communities increasing ρ S dampens undercompensating population fluctuations, whereas overcompensating populations tend increase in variability [14], [15], [21]. In multi-trophic food webs increased ρ S can be associated with lower population variability [22], as well as increased food web persistence [23].…”
Section: Introductionmentioning
confidence: 99%
“…When two species that are differently adapted to a common environmental variable come to interact, the arising between-species environmental correlation ( ρ S ) – ρ S  = 1 means that responses are identical, ρ S  = 0 means responses are independent, and ρ S  = –1 indicates completely opposite responses – can affect population variability in closed communities [2], [14], [15], [20]. In simple competitive communities increasing ρ S dampens undercompensating population fluctuations, whereas overcompensating populations tend increase in variability [14], [15], [21]. In multi-trophic food webs increased ρ S can be associated with lower population variability [22], as well as increased food web persistence [23].…”
Section: Introductionmentioning
confidence: 99%
“…Environmental characteristics that are known to affect food web dynamics include the temporal mean (Vasseur and McCann, 2005), fluctuation amplitude (Gouhier et al, 2010;Vasseur and Fox, 2007), spectral colour (Gonzalez and De Feo, 2007;Greenman and Benton, 2005a), and the similarity of species environmental responses (Ripa and Ives, 2003;Ruokolainen and Ripa, 2012;Thébault and Loreau, 2005). Here we concentrate on analysing the effects of varying environmental amplitude (s 2 ) and colour (γ).…”
Section: Discussionmentioning
confidence: 99%
“…The period length of the consumer-resource cycle is influenced by the strength of interactions between the consumer and the resources, which in turn determines the location of the variance maximum along varying environmental colour (Ripa and Ives, 2003). Ruokolainen and Ripa (2012) suggested that the interaction strength could shift the consumer and resource variance maxima with respect to each other, which could explain why Vasseur and McCann (2005) observed maximum variability at an intermediate noise colour only for the resource population.…”
Section: Environmental Colourmentioning
confidence: 99%
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