Literature DB >> 16697244

Mechanistic models for wind dispersal.

Anna Kuparinen1.   

Abstract

The growing need for ecological forecasts of, for example, species migration, has increased interest in developing mechanistic models for wind dispersal of seeds, pollen and spores. Analytical models are only able to predict mean dispersal distances, whereas sophisticated trajectory simulation models are able to incorporate rare wind conditions causing long-distance dispersal and are therefore preferable. Despite the rapid development of mechanistic dispersal models, only a few studies have focused on comparing the performance of the models. To assess the level of model complexity needed, attention should be paid to model comparisons and the sensitivity of the predictions to model complexity. In addition to studying the movement of airborne particles, future modelling work should also focus on the processes of particle release and deposition.

Mesh:

Year:  2006        PMID: 16697244     DOI: 10.1016/j.tplants.2006.04.006

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  21 in total

1.  A mechanistic modeling system for estimating large scale emissions and transport of pollen and co-allergens.

Authors:  Christos Efstathiou; Sastry Isukapalli; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2011-04-01       Impact factor: 4.798

2.  Seasonal and diurnal patterns of spore release can significantly affect the proportion of spores expected to undergo long-distance dispersal.

Authors:  David Savage; Martin J Barbetti; William J MacLeod; Moin U Salam; Michael Renton
Journal:  Microb Ecol       Date:  2011-10-04       Impact factor: 4.552

Review 3.  Why does phenology drive species distribution?

Authors:  Isabelle Chuine
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

4.  Urban-scale variation in pollen concentrations: A single station is insufficient to characterize daily exposure.

Authors:  Daniel S W Katz; Stuart A Batterman
Journal:  Aerobiologia (Bologna)       Date:  2020-04-20       Impact factor: 2.410

5.  Understanding strategies for seed dispersal by wind under contrasting atmospheric conditions.

Authors:  S Joseph Wright; Ana Trakhtenbrot; Gil Bohrer; Matteo Detto; Gabriel G Katul; Nir Horvitz; Helene C Muller-Landau; Frank A Jones; Ran Nathan
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-05       Impact factor: 11.205

6.  Marking live conifer pollen for long-distance dispersal experiments.

Authors:  Claire G Williams; Patrick von Aderkas
Journal:  Oecologia       Date:  2010-11-02       Impact factor: 3.225

7.  Increases in air temperature can promote wind-driven dispersal and spread of plants.

Authors:  Anna Kuparinen; Gabriel Katul; Ran Nathan; Frank M Schurr
Journal:  Proc Biol Sci       Date:  2009-06-10       Impact factor: 5.349

8.  Size matters for violent discharge height and settling speed of Sphagnum spores: important attributes for dispersal potential.

Authors:  Sebastian Sundberg
Journal:  Ann Bot       Date:  2010-02       Impact factor: 4.357

9.  Human-mediated dispersal of seeds over long distances.

Authors:  Matthias C Wichmann; Matt J Alexander; Merel B Soons; Stephen Galsworthy; Laura Dunne; Robert Gould; Christina Fairfax; Marc Niggemann; Rosie S Hails; James M Bullock
Journal:  Proc Biol Sci       Date:  2009-02-07       Impact factor: 5.349

10.  Turbulent dispersal promotes species coexistence.

Authors:  Heather A Berkley; Bruce E Kendall; Satoshi Mitarai; David A Siegel
Journal:  Ecol Lett       Date:  2010-03       Impact factor: 9.492

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