The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.
Hypervolume concepts in niche‐ and trait‐based ecology
Abstract
Hutchinson's n ‐dimensional hypervolume concept for the interpretation of niches as geometric shapes has provided a foundation for research across different fields of ecology and evolution. There is now an expanding set of applications for hypervolume concepts, as well as a growing set of statistical methods available to operationalize this concept with data. The concept has been applied to environmental, resource, functional trait, and morphometric axes and to different scales, i.e. from individuals, species, to communities and clades. Further, these shapes have been variously interpreted as niches, ecological or evolutionary strategy spaces, or proxies for community structure. This paper highlights these applications’ shared mathematical framework, surveys uses of the hypervolume concept across fields, discusses key limitations and assumptions of hypervolume concepts in general, provides a critical guide to available statistical estimation methods, and delineates the situations where hypervolume concepts can be useful.
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Cites
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Cited by
Joint Species Distribution Modelling: With Applications in R
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Potential adaptive strategies for 29 sub-Saharan crops under future climate change
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Metadata
- Authors
- Blonder, B.
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2017-09-22
- Volume
- 41
- Issue
- 9
- Pages
- 1441-1455
- ISSN
- 0906-7590 (ISSN-L)
- 1600-0587
- OpenAlex
- W2756798011
- Cited by
- 389
- References
- 144
- FWCI
- 19.28
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
