Going beyond limitations of plant functional types when predicting global ecosystem–atmosphere fluxes: exploring the merits of traits‐based approaches
By Peter M. van Bodegom, Jacob C. Douma, Jan-Philip M. Witte, J. Ordoñez, R. Bartholomeus, Rien Aerts. 2012
223 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/4b27e818c9d26792540af75d81fe210e0dcee4ac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Eric Garnier
- Peter B. Reich
- Bill Shipley
- S. Pierce
- J. H. C. Cornelissen
- K. Thompson
- Sandra Díaz
- Josep Peñuelas
In Ecology, Evolution, Behavior and Systematics
- Eric Garnier
- Peter B. Reich
- Sandra Díaz
- Bill Shipley
- William K. Cornwell
- J. H. C. Cornelissen
- Francesco de Bello
- Michael Kleyer
In Nature and Landscape Conservation
- Eric Garnier
- Peter B. Reich
- S. Lavorel
- William K. Cornwell
- Bill Shipley
- Sandra Díaz
- Francesco de Bello
- J. H. C. Cornelissen
Citations in the corpus
- Functional and Phylogenetic Approaches to Forecasting Species' Responses to Climate Change (2012, background): “Ecosystem models based on plant functional types are frequently invoked to project ecosystems changes due to climate shifts (Van Bodegom et al. 2012).”
- The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto (2014, background): “Improving characterization of trait variability in models is an active area at present; both trait–trait and trait–environment approaches may be fruitful (Swenson et al. 2012a,b; van Bodegom et al. 2012).”
- A global method for calculating plant CSR ecological strategies applied across biomes world‐wide (2017, methodology): “A number of CSR analysis methods have been developed (Grime, Hodgson & Hunt 1988; Hodgson et al. 1999; Pierce et al. 2013) and have been applied as practical tools to characterize, map and compare vegetation function (Bunce et al. 1999; Hunt et al. 2004; Schmidtlein, Feilhauer & Bruelheide 2012).”
- Leaf dry matter content is better at predicting above-ground net primary production than specific leaf area (2017, background): “However, such categorical units have reduced information content because 394 they do not express continuous variation in plant properties that influence ecosystem 395 function (Van Bodegom et al. 2012).”