The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services
Open accessAbstract
A novel conceptual framework is presented that proposes to apply trait‐based approaches to predicting the impact of environmental change on ecosystem service delivery by multi‐trophic systems. Development of the framework was based on an extension of the response–effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.
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Cites
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Self-citation
Cited by
TRY plant trait database – enhanced coverage and open access
Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., et al. (2020) · Global Change Biology · doi:10.1111/gcb.14904 · Cited by 2,089
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“A trait-based approach was recently applied to multitrophic systems composed of plants and pollinators (Lavorel et al. 2013).”
BackgroundApplying trait‐based models to achieve functional targets for theory‐driven ecological restoration
Laughlin, D. C. (2014) · Ecology Letters · doi:10.1111/ele.12288 · Cited by 554
Metadata
- Authors
- Lavorel, S., Storkey, J., Bardgett, R. D., de Bello, F., Berg, M. P., Le Roux, X., Moretti, M., Mulder, C., Pakeman, R. J., Díaz, S., & Harrington, R.
- Venue
- Journal of Vegetation Science
- Publisher
- Wiley
- Published
- 2013-05-14
- Volume
- 24
- Issue
- 5
- Pages
- 942-948
- ISSN
- 1100-9233 (ISSN-L)
- 1654-1103
- OpenAlex
- W2062007350
- Cited by
- 278
- References
- 37
- FWCI
- 20.43
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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