Seed dispersal curves: Behavior of the tail of the distribution
By Stephen Portnoy, M. Willson. Evolutionary Ecology, 2005
148 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Plant Science
View Paper: https://www.semanticscholar.org/paper/71775a363ff20be269d397c00ae39f40c248ed2b
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In Ecology, Evolution, Behavior and Systematics
In Nature and Landscape Conservation
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Citations in the corpus
- Potential colonization of newly available tree-species habitat under climate change: An analysis for five eastern US species (2004, background): “Nonetheless, the use of the real, fragmented landscape allows us to begin to understand the role of fragmentation in migration, which is addressed by few models up until now (Pitelka 1997).”
- The Ecology and Evolution of Seed Dispersal: A Theoretical Perspective (2003, background): “It has all the same properties of WINDISPER apart from accounting for variable vertical wind profile yet is also analytically tractable (Portnoy & Willson 1993, Tufto et al. 1997, Turchin 1998).”
- Incorporating patterns of disperser behaviour into models of seed dispersal and its effects on estimated dispersal curves (2005, background): “…focused on those produced from a point source, i.e. a plant, with the expectation that this overall dispersal curve will fit a negative exponential distribution (Portnoy and Willson 1993) or some combination of distributions (Clark et al. 1999; Nathan and MullerLandau 2000; Levin et al. 2003).”
- Evolution of Seed Size and Biotic Seed Dispersal in Angiosperms: Paleoecological and Neoecological Evidence (2008, background): “(3) Biotic seed dispersal is associated with an increase in seed dispersal distance, as compared with unassisted dispersal (Portnoy and Willson 1993), which means that a cost of reduced dispersal due to lower seed production may be offset by biotic dispersal.”
- The Ecology of Seeds: References (2005, methodology): “First, most studies of seed dispersal that involve trapping seeds probably fail to detect the most distantly dispersed seeds (Portnoy & Willson, 1993), partly because they do not sample very far from the parent plant (rarely >10 m) and partly because sampling intensity usually declines with…”
- Mechanistic models of seed dispersal by wind (2011, background): “Although Weibull and log-normal distributions describing Ueff are both considered “extreme-value” distributions, they do not promote the empirically observed power-law tails in p(x) (Willson 1993; Portnoy and Willson 1993).”
- Methods for estimating long-distance dispersal (2003, methodology): “A more inclusive approach has been taken more recently, using a general functional form with a shape parameter accounting for specific functions as special cases (Portnoy and Willson 1993, Turchin 1998).”
- Measuring plant dispersal: an introduction to field methods and experimental design (2006, background): “There are few formal comparisons of different models and their ability to describe dispersal data (Portnoy and Willson 1993; Clark et al. 1999; Bullock and Clarke 2000; Skarpaas et al. 2004), but, for example, which model is used can radically affect the outcome of population spread modelling (Kot e”
- Some Evolutionary Consequences of Being a Tree (2006, background): “For instance, the height of release is often (yet not necessarily) related to the median transport distance of wind-dispersed pollen and seeds (Nathan et al. 2002, Okubo & Levin 1989, Portnoy & Willson 1993).”
- ARE LONG‐DISTANCE DISPERSAL EVENTS IN PLANTS USUALLY CAUSED BY NONSTANDARD MEANS OF DISPERSAL? (2003, methodology): “In addition, the analyses in Willson (1993) and Portnoy and Willson (1993) were not balanced: few animal-dispersed herbaceous, and few unassisted and ballistic dispersed tree data sets were available.”
- Seed dispersal of the non-native invasive tree Ailanthus altissima into contrasting environments (2007, background): “1999; Higgins and Richardson 1999; Bullock and Clarke 2000) or by restricting their fitting exercise to a specific section of the curve (Portnoy and Willson 1993).”
- Identifying priority areas for reducing species vulnerability to climate change (2012, methodology): “…species in the GIS using a negative exponential dispersal kernel based on the Euclidean distance di of each grid cell to the nearest known species location (Portnoy & Willson, 1993): Dih ¼ eðhdiÞfor h 2 f 0:001; 0:0005; 0:0001g: ð3Þ We considered three kernels to capture the uncertainty in…”
- A synthesis of empirical plant dispersal kernels (2017, background): “Portnoy & Willson (1993) defined the tail as ‘the set of distance categories beyond the last clear mode of the data’.”