Inferring Process from Pattern in Natural Communities

Cale, William G.; Henebry, Geoffrey M.; Yeakley, J. Alan

doi:10.2307/1311089

Cited by 135 publications

(75 citation statements)

References 45 publications

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“…The EPA program and two other Keys-wide sampling programs (Murdoch and Aronson 1999;Miller, Swanson, and Chiappone 2002) are important because they documented patterns of community structure, and underlying processes that drive community structure can sometimes be inferred from patterns that emerge across multiple spatial scales (Cale, Henebry, and Yeakley 1989;Aronson 1994Aronson , 2001Done 1999). The EPA results focused on change over time ), but understanding change across spatial scales is also important.…”

Section: Ecological Shifts Along the Florida Reef Tractmentioning

confidence: 99%

Ecological Shifts along the Florida Reef Tract: The Past as a Key to the Future

Precht

Miller

Geological Approaches to Coral Reef Ecology

122

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Section: Ecological Shifts Along the Florida Reef Tractmentioning

confidence: 99%

Ecological Shifts along the Florida Reef Tract: The Past as a Key to the Future

Precht

Miller

Geological Approaches to Coral Reef Ecology

122

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“…First, patterns may not be intuitively recognisable as the outcome of a given process. Such a situation might arise because the pattern itself lacks a unique structural isomorphism (Cale et al, 1989), or the observer lacks a referent pattern for comparison. The inverse notion that the same pattern might be generated by more than one process is likewise problematic (Levin, 1992;Beven, 2002;Premo, 2010).…”

Section: The Common Threads Of Formation and Simulationmentioning

confidence: 99%

Weaving the Common Threads of Simulation and Formation studies in Archaeology

Davies¹

2017

Preprint

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Computer simulation is a tool increasingly used by archaeologists to build theories about past human activity; however, simulation has had a limited role theorising about the relationship between past behaviours and the formation of observed patterning in the material record. This paper visits the argument for using simulation as a means of addressing the gap that exists between archaeological interpretations of past behaviours and their physical residues. It is argued that simulation is used for much the same reason that archaeologists use ethnographic or experimental studies, and that computational models can help to address some of the practical limitations of these approaches to record formation. A case study from arid Australia, examining the effects of episodic surface erosion on the visibility of the record, shows how simple, generative simulations, grounded in formational logic, can be used to compare different explanatory mechanisms and suggest tests of the archaeological record itself.

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“…However, similar spatial patterns may result from multiple mechanisms. Using a simple simulation model that explicitly included resource-based competition, Rummel and Roughgarden (1983) and Cale et al (1989) demonstrated that strong competitive interactions between species can generate random associations. We found that random patterns could also result from negative frequency dependence, either weak or strong, provided that the interaction and dispersal occurred over the same spatial scale.…”

Section: Scale Of Negative Frequency Dependence Greater Than That Of mentioning

confidence: 99%

“…However, strong competitive interactions can give rise to random species associations (Rummel andRoughgarden 1983, Cale et al 1989). Moreover, multiple processes may contribute to the generation of community patterns (Cale et al 1989). Further complicating our understanding of how processes influence patterns are issues of spatial scaling (e.g., Levin 1992).…”

Section: Introductionmentioning

confidence: 99%

Negative Frequency Dependence and the Importance of Spatial Scale

Molofsky¹,

Bever²,

Antonovics³

et al. 2002

Ecology

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Abstract. Issues of spatial scale are inherent in many ecological systems. This study uses a spatially explicit cellular automaton model to explore how the scale of dispersal interacts with the scale and strength of negative frequency dependence to determine patterns of species distribution. Counter to expectation, strong local frequency-dependent interactions result in random spatial patterns. When dispersal scale and interaction scale are decoupled, the resulting patterns are not necessarily random. For strong negative frequency dependence, stable bands result when the scale of interaction exceeds the scale of dispersal, and bands with two-point cycles result when the scale of dispersal exceeds the scale of interaction. However, for weaker interactions occurring over intermediate scales, only random patterns result. Thus, our results call into question the utility of inferring any ecological interaction from only the spatial distributions of the putatively interacting species. Furthermore, our results call for new experimental studies that explicitly manipulate the strength and the scale of the processes being studied.

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Inferring Process from Pattern in Natural Communities

Cited by 135 publications

References 45 publications

Ecological Shifts along the Florida Reef Tract: The Past as a Key to the Future

Ecological Shifts along the Florida Reef Tract: The Past as a Key to the Future

Weaving the Common Threads of Simulation and Formation studies in Archaeology

Negative Frequency Dependence and the Importance of Spatial Scale

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