The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Ecogeographical rules: elements of a synthesis
Open accessAbstract
The development of a more synthetic approach to understanding spatial patterns in biogeography, particularly of the way in which these patterns interact, constitutes a major challenge for the field. Here we propose some key elements of such a synthesis for what can broadly be termed ‘ecogeographical rules’, that is spatial patterns in biological traits. These include understanding: (1) the different kinds of patterns (intraspecific, interspecific and assemblage), and the distinctions between them; (2) the unifying role that geographical ranges play in linking the patterns together; (3) that this unification can be obscured by the methodological assumptions made in documenting some patterns (e.g. assuming that intraspecific variation does not significantly influence interspecific and assemblage patterns in traits); (4) the implications of other methodological issues for the nature of observed patterns (e.g. how ranges are located on positional or environmental axes for interspecific patterns); (5) the need for further development of models linking different types of traits; (6) the nature of the generality of documented patterns at all levels, and particularly the difference between the frequency with which patterns are documented in the literature and the variety of extant species; and (7) the constraints that the form of intraspecific patterns place on interspecific and assemblage patterns, and that interspecific patterns place on assemblage patterns.
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Cites
The Comparative Method in Evolutionary Biology
Harvey, P. H., & Pagel, M. D. (1991) · doi:10.1093/oso/9780198546412.001.0001 · Cited by 4,337
WHAT IS THE OBSERVED RELATIONSHIP BETWEEN SPECIES RICHNESS AND PRODUCTIVITY?
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Global distribution and conservation of rare and threatened vertebrates
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Self-citationTHE INFLUENCE OF PRODUCTIVITY ON THE SPECIES RICHNESS OF PLANTS: A CRITICAL ASSESSMENT
Gillman, L. N., & Wright, S. D. (2006) · Ecology · doi:10.1890/0012-9658(2006)87[1234:tiopot]2.0.co;2 · Cited by 305
The Allometry of Avian Basal Metabolic Rate: Good Predictions Need Good Data
McKechnie, A. E., & Wolf, B. O. (2004) · Physiological and Biochemical Zoology · doi:10.1086/383511 · Cited by 264
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Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
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Body size variation in insects: a macroecological perspective
Chown, S. L., & Gaston, K. J. (2010) · Biological Reviews · doi:10.1111/j.1469-185x.2009.00097.x · Cited by 772
Self-citationCoping with Thermal Challenges: Physiological Adaptations to Environmental Temperatures
Tattersall, G. J., Sinclair, B. J., Withers, P. C., Fields, P. A., Seebacher, F., Cooper, C. E., & Maloney, S. K. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c110055 · Cited by 340
Spatial patterns in brown bear Ursus arctos diet: the role of geographical and environmental factors
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Metadata
- Authors
- Gaston, K. J., Chown, S. L., & Evans, K. L.
- Venue
- Journal of Biogeography
- Publisher
- Wiley
- Published
- 2007-08-08
- Volume
- 35
- Issue
- 3
- Pages
- 483-500
- ISSN
- 0305-0270 (ISSN-L)
- 1365-2699
- OpenAlex
- W2157199923
- Cited by
- 353
- References
- 5
- FWCI
- 15.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.