Methods for estimating long-distance dispersal
By Ran Nathan, Gad Perry, J. Cronin, A. Strand, M. Cain. 2003
467 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/9932c0f990826fa93432fcd5f02e1c085d947298
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
- Frank M. Schurr
- D. Richardson
- Pedro Jordano
- Ran Nathan
- Bailey Jacobson
- J. Bullock
- Santiago Saura
- M. Soons
In Ecology
- Ran Nathan
- M. Soons
- Pedro Jordano
- D. Richardson
- J. Bullock
- Eelke Jongejans
- H. Muller‐Landau
- Frank M. Schurr
In Nature and Landscape Conservation
- Ran Nathan
- M. Soons
- Frank M. Schurr
- D. Richardson
- Pedro Jordano
- J. Bullock
- Petr Pyšek
- Eelke Jongejans
Citations in the corpus
- Dispersal potential in plant communities depends on environmental conditions (2004, background): “Even perfect information on the dispersal distance of all seeds in a population would only provide a case-specific documentation of differences in realized dispersal distance ( Nathan et al . 2003; Tackenberg et al . 2003).”
- Non‐random seed abscission, long‐distance wind dispersal and plant migration rates (2008, methodology): “We used the analytical wavespeed model of Neubert and Caswell (2000) that combines matrix models describing population growth with integrodifference equations describing dispersal.”
- Genetic containment of forest plantations (2007, background): “Many different types of models have been used for simulating dispersal and gene flow across a landscape (Nathan et al. 2003).”
- A rapid altitudinal range expansion in the pine processionary moth produced by the 2003 climatic anomaly (2006, background): “…number of females flying could also likely lead to more long-distance dispersal events, which constitute a small fraction of dispersal events (i.e. occupy the tail of dispersal distributions) in nonmigrant organisms, but often drive spatial spread and colonization rates (Nathan et al., 2003).”
- Short distance pollen movement in a wind-pollinated tree, Quercus lobata (Fagaceae). (2009, methodology): “Various mathematical relationships can be used to describe the dispersal curve (Clark et al., 1999; Nathan and Muller-Landau, 2000; Cain et al., 2003; Nathan et al., 2003; Austerlitz et al., 2004; OddouMuratorio et al., 2005; Klein et al., 2006), including the inverse power law (Gregory, 1968), the ”
- What is long‐distance dispersal? And a taxonomy of dispersal events (2017, background): “And a taxonomy of dispersal events”
- The Ecology and Evolution of Seed Dispersal: A Theoretical Perspective (2003, methodology): “Thus, the quantification of LDD is extremely challenging (Cain et al. 2000, Nathan et al. 2003).”
- Corridors for Conservation: Integrating Pattern and Process (2006, background): “…in association with the charismatic megafauna whose populations they are designed to conserve, are a fundamental component of wildland conservation, particularly in North America where many regional and several continental-scale corridor initiatives are underway (Nelson et al. 2003, Noss 2003).”
- Duelling timescales of host mixing and disease spread determine invasion of disease in structured populations (2005, background): “Researchers may estimate movement between groups using genetic data or tracking of known individuals (Waser et al. 1994; Koenig et al. 1996; Cain et al. 2003; Nathan et al. 2003).”
- Modelling long‐distance seed dispersal in heterogeneous landscapes (2008, unknown): “Ecologists typically measure long-distance dispersal in two ways: by marking and recapturing individuals at mapped locations and by using genetic markers that link dispersed individuals to the location of a parent (Nathan et al .”
- Measuring plant dispersal: an introduction to field methods and experimental design (2006, background): “However, Nathan et al. (2003) provide particularly useful guides to indirect methods involving genetic markers and mechanistic models.”
- Forecasting Regional to Global Plant Migration in Response to Climate Change (2005, methodology): “Quantification of these processes is a major problem (Clark et al. 2001, Nathan et al. 2003); however, new methods are being developed for obtaining some of the critical data and estimating long-distance dispersal (Fragoso et al. 2003, Nathan et al. 2003).”
- Quantifying and disentangling dispersal in metacommunities: how close have we come? How far is there to go? (2010, background): “LDD will not be explicitly considered and therefore specifics will not be presented, for a detailed discussion on the concept and methods of quantification see Nathan et al. (2003) and Nathan (2005).”
- Effects of long‐distance dispersal for metapopulation survival and genetic structure at ecological time and spatial scales (2005, background): “Increasing recognition of the importance of LDD for a variety of conservation practices (Trakhtenbrot et al . 2005) has driven efforts to find new ways of predicting its rate ( Nathan et al . 2002, 2003, 2005 ).”
- Evolutionary Perspectives on Seed Consumption and Dispersal by Fishes (2007, background): “Methods used to examine terrestrial seed dispersal could be adopted for investigating the dispersal of riparian plants by fishes (e.g., PIT [passive integrated transponder] tags, Surprison and Gómez 1989; genetic markers, Godoy and Jordano 2001; stable isotope analysis, Nathan et al. 2003).”
- Movement, dispersal and refuge use of co-occurring introduced and native crayfish (2006, background): “populations make long-distance dispersal movements, for colonisation of new areas these long-distance dispersers are of particular importance (Kot, Lewis & Van Den Driessche, 1996; Nathan et al., 2003).”