The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture
Open accessAbstract
It is argued that the problem of pattern and scale is the central problem in ecology, unifying population biology and ecosystems science, and marrying basic and applied ecology. Applied challenges, such as the prediction of the ecological causes and consequences of global climate change, require the interfacing of phenomena that occur on very different scales of space, time, and ecological organization. Furthermore, there is no single natural scale at which ecological phenomena should be studied; systems generally show characteristic variability on a range of spatial, temporal, and organizational scales. The observer imposes a perceptual bias, a filter through which the system is viewed. This has fundamental evolutionary significance, since every organism is an "observer" of the environment, and life history adaptations such as dispersal and dormancy alter the perceptual scales of the species, and the observed variability. It likewise has fundamental significance for our own study of ecological systems, since the patterns that are unique to any range of scales will have unique causes and biological consequences. The key to prediction and understanding lies in the elucidation of mechanisms underlying observed patterns. Typically, these mechanisms operate at different scales than those on which the patterns are observed; in some cases, the patterns must be understood as emerging form the collective behaviors of large ensembles of smaller scale units. In other cases, the pattern is imposed by larger scale constraints. Examination of such phenomena requires the study of how pattern and variability change with the scale of description, and the development of laws for simplification, aggregation, and scaling. Examples are given from the marine and terrestrial literatures.
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Cites
The chemical basis of morphogenesis
Turing, A. M. (1952) · Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences · doi:10.1098/rstb.1952.0012 · Cited by 11,733
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459
Natural selection and random genetic drift in phenotypic evolution
Lande, R. (1976) · Evolution · doi:10.1111/j.1558-5646.1976.tb00911.x · Cited by 1,828
Food Webs: Linkage, Interaction Strength and Community Infrastructure
Paine, R. T. (1980) · The Journal of Animal Ecology · doi:10.2307/4220 · Cited by 1,824
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A General Framework for Analyzing Sustainability of Social-Ecological Systems
Ostrom, E. (2009) · Science · doi:10.1126/science.1172133 · Cited by 8,656
RESILIENCE: THE EMERGENCE OF A PERSPECTIVE FOR SOCIAL-ECOLOGICAL SYSTEMS ANALYSES
Folke, C. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2006.04.002 · Cited by 7,749
Catastrophic shifts in ecosystems
Scheffer, M., Carpenter, S., Foley, J. A., Folke, C., & Walker, B. (2001) · Nature · doi:10.1038/35098000 · Cited by 7,510
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Elith, J., & Leathwick, J. R. (2009) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.110308.120159 · Cited by 6,707
Mechanisms of Maintenance of Species Diversity
Chesson, P. (2000) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.31.1.343 · Cited by 6,645
Metadata
- Authors
- Levin, S. A.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 1992-12
- Volume
- 73
- Issue
- 6
- Pages
- 1943-1967
- ISSN
- 0012-9658 (ISSN-L)
- 1939-9170
- OpenAlex
- W2322480672
- Cited by
- 6,792
- References
- 4
- FWCI
- 61.88
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.