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Patchy habitats, division of labour and growth dividends in clonal plants
Open accessAbstract
Natural habitats are patchy in quality. in clonal plants, resource-acquiring structures often occupy sites that differ in quality. Clonal plants can display division of labour in resource-acquisition duties, manifested as local specialization by ramets, which enhances acquisition of each resource from sites of greatest abundance. Physiological integration can re-distribute resources internally from sites of acquisition to clone parts sited where the same resources are scarce. Recent research is showing that such specialization and resource sharing is a highly efficient strategy for acquiring resources and that it can result in considerably greater growth when resources are heterogeneously distributed than when the same quantity of resources is distributed homogeneously.
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Citations
Cited by
Herbivore-mediated linkages between aboveground and belowground communities
Bardgett, R. D., & Wardle, D. A. (2003) · Ecology · doi:10.1890/02-0274 · Cited by 1,173
Resource competition in plant invasions: emerging patterns and research needs
Gioria, M., & Osborne, B. A. (2014) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00501 · Cited by 437
Longevity of clonal plants: why it matters and how to measure it
de Witte, L. C., & Stöcklin, J. (2010) · Annals of Botany · doi:10.1093/aob/mcq191 · Cited by 263
Metadata
- Authors
- Hutchings, M.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 1997-10
- Volume
- 12
- Issue
- 10
- Pages
- 390-394
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2036413608
- Cited by
- 335
- References
- 0
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- green
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- Hutchings, M. (1997). Patchy habitats, division of labour and growth dividends in clonal plants. Trends in Ecology & Evolution. https://doi.org/10.1016/s0169-5347(97)87382-x
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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.
