Modeling large-scale dispersal distances
By Emmanuel Paradis, S. Baillie, W. J. Sutherland. 2002
105 citations recorded by the source corpus.
Subfields: Ecology
View Paper: https://www.semanticscholar.org/paper/f173dc7881dcd77c556e7672eec47bed81c04927
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- D. Richardson
- Marc A. Suchard
- Ran Nathan
- Andrew Rambaut
- Philippe Lemey
- Gad Perry
- Ana Trakhtenbrot
- D. W. Winkler
Citations in the corpus
- Phylogeography takes a relaxed random walk in continuous space and time. (2010, background): “Fixing ν = 1 returns the Cauchy distribution, often harnessed to model animal movement in an ecological context (Paradis et al. 2002).”
- The natal dispersal of tree swallows in a continuous mainland environment (2005, background): “Converting this map of dispersal events into a DDD (Fig. 3) reveals the steep drop-off in the frequency of dispersal with distance from the natal site that other biologists have observed (Greenwood 1980; Greenwood & Harvey 1982; Payne 1991), but with a much ‘heavier’ tail than one might expect (see ”
- The importance of long‐distance dispersal in biodiversity conservation (2005, background): “…1959), especially plant seeds (e.g. Willson, 1993; Cain et al., 1998; Clark, 1998; Nathan et al., 2000), pollen (Austerlitz et al., 2004) and spores (Gregory, 1945), and for actively dispersing animals, including birds (e.g. Paradis et al., 2002) and insects (Taylor, 1978; Kuras et al., 2003).”