Quantifying relationships between traits and explicitly measured gradients of stress and disturbance in early successional plant communities
By Grégory Sonnier, Bill Shipley, M. Navas. 2010
98 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/ccd1271f4a01c00f93a5a52f775e86ba618c2244
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
- Loïc Pellissier
- J. Pottier
- Anne Dubuis
- M. D’Amen
- Antoine Guisan
- Rui F. Fernandes
- Wilfried Thuiller
- Miguel B. Araújo
In Ecology, Evolution, Behavior and Systematics
- Antoine Guisan
- Loïc Pellissier
- M. D’Amen
- J. Pottier
- Anne Dubuis
- N. E. Zimmermann
- Wilfried Thuiller
- Jorge M. Lobo
In Nature and Landscape Conservation
- Loïc Pellissier
- J. Pottier
- Anne Dubuis
- M. D’Amen
- Antoine Guisan
- Rui F. Fernandes
- Wilfried Thuiller
- Miguel B. Araújo
Citations in the corpus
- Selecting traits that explain species–environment relationships: a generalized linear mixed model approach (2013, unknown): “At community level, the sites × species table Y and species × trait table Z can be combined in to a sites × trait table which is then related to the sites × environment table X by standard statistical methods (Díaz et al. 1992, Sonnier et al. 2010).”
- Using species richness and functional traits predictions to constrain assemblage predictions from stacked species distribution models (2015, background): “…Shipley et al. (2006) proposed the use of predicted community weighted means of functional traits to infer the assemblage composition given species traits through a maximum entropy approach (Shipley et al., 2006, 2011; Sonnier et al., 2010a; see also Laughlin et al., 2012).”