Estimating Spore Release Rates Using a Lagrangian Stochastic Simulation Model

By D. Aylor, T. Flesch. 2001

118 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Health, Toxicology and Mutagenesis, Plant Science

View Paper: https://www.semanticscholar.org/paper/4805dac833b24c5e0780769db52f719f201830c7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. N. Schultes
2. Elson Shields
3. D. Aylor
4. Ran Nathan

In Health, Toxicology and Mutagenesis

1. N. Schultes
2. Elson Shields
3. D. Aylor

In Plant Science

1. N. Schultes
2. Elson Shields
3. M. Soons
4. Gil Bohrer
5. Ran Nathan
6. D. Aylor
7. Gabriel G. Katul
8. Pedro Jordano

Citations in the corpus

• An aerobiological framework for assessing cross-pollination in maize (2003, methodology): “The Langevin coefficients satisfy Kolmogorov’s similarity theory and the well-mixed condition ( Aylor and Flesch, 2001; Flesch and Wilson, 1992; Thomson, 1987; Wilson and Sawford, 1996).”
• Long‐distance biological transport processes through the air: can nature's complexity be unfolded in silico? (2005, background): “Yet, the onset of such long journeys depends critically on the relatively infrequent occurrence of small-scale local gusts that are stronger than a certain threshold wind velocity required for launching a small particle from the land surface (Burrows, 1986; Aylor & Flesch, 2001).”