1997
DOI: 10.1023/a:1018476606256
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Modelling food web complexity: The consequences of individual-based, spatially explicit behavioural ecology on trophic interactions

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Cited by 55 publications
(39 citation statements)
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“…In contrast, we predict that in the presence of cray®sh, periphyton proximate to covered habitats will receive a positive indirect eect of cray®sh predation, whereas periphyton in open habitats, and especially near the water surface, will be depressed to low levels. Thus, we expect that these two predators will have dierent behaviorally mediated indirect eects on the local abundance of periphyton, even if they present the same level of risk to snails, because of their spatially explicit eects on snail grazing patterns (Schmitz and Booth 1997). McIntosh and Townsend (1996) recently documented dierential eects of trout (Salmo trutta) and galaxias (Galaxias vulgaris) on periphyton standing crop in New Zealand rivers.…”
Section: Consequences Of Behavioral Speci®citymentioning
confidence: 99%
“…In contrast, we predict that in the presence of cray®sh, periphyton proximate to covered habitats will receive a positive indirect eect of cray®sh predation, whereas periphyton in open habitats, and especially near the water surface, will be depressed to low levels. Thus, we expect that these two predators will have dierent behaviorally mediated indirect eects on the local abundance of periphyton, even if they present the same level of risk to snails, because of their spatially explicit eects on snail grazing patterns (Schmitz and Booth 1997). McIntosh and Townsend (1996) recently documented dierential eects of trout (Salmo trutta) and galaxias (Galaxias vulgaris) on periphyton standing crop in New Zealand rivers.…”
Section: Consequences Of Behavioral Speci®citymentioning
confidence: 99%
“…Conrad and Pattee (1970) (also see Conrad and Rizki, 1989) described a simple individual-based ecosystem model in which organisms collected resources when their internal state matched external conditions, and more complex models of trophic interactions were developed as computing power increased (for example Smith, 1991). Holland (1992) introduced the notion of artificial chromosomes encoding the behaviour of digital organisms in models that were adapted for simulation of food webs by Schmitz and Booth (1997). Autonomous digital organisms were introduced by Ray (1991Ray ( , 1994Ray ( , 1998 in his artificial world 'Tierra', which follows the laws of population genetics (Yedid and Bell, 2001) and can be used to elucidate processes such as the repeatability of evolutionary processes (Yedid and Bell, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…While predators can reduce prey in at least two ways -by consuming them (a consumptive or density-mediated effect) or by altering their behavior, morphology, physiology, distribution, or life history (a non-consumptive or trait-mediated effect) (Abrams 1995;Lima and Dill 1990;Lima 1998), the relative importance of these two mechanisms in the dynamics of communities is not well resolved. Recent models have shown that incorporating the non-consumptive effects of predators can dramatically alter the conclusions drawn from classic models of predation (Abrams 1995;Schmitz and Booth 1997;Abrams and Schmitz 1999;Luttbeg and Schmitz 2000). In addition, a number of empirical studies in aquatic communities have found important non-consumptive effects of predators (e.g., Power 1987;Werner 1992;Persson 1999;Bernot and Turner 2001;Peacor and Werner 2001).…”
Section: Introductionmentioning
confidence: 99%