2011
DOI: 10.1111/j.1365-2699.2011.02569.x
|View full text |Cite
|
Sign up to set email alerts
|

Modelling the effect of size on the aerial dispersal of microorganisms

Abstract: Aim  We investigate the long‐standing question of whether the small size of microbes allows most microbial species to colonize all suitable sites around the globe or whether their ranges are limited by opportunities for dispersal. In this study we use a modelling approach to investigate the effect of size on the probability of between‐continent dispersal using virtual microorganisms in a global model of the Earth’s atmosphere. Location  Global. Methods  We use a computer model of global atmospheric circulation… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

7
196
0
1

Year Published

2012
2012
2024
2024

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 218 publications
(204 citation statements)
references
References 63 publications
7
196
0
1
Order By: Relevance
“…Previous attempts to understand the distribution of PBAs in the atmosphere tended to simplify the surface-atmosphere transport both by deriving emissions from airborne concentrations (Burrows et al, 2009a) and by making ecosystem-wide assumptions about emissions (Bur-rows et al, 2009a;Hoose et al, 2010;Sesartic et al, 2012). Airborne concentrations are, nevertheless, variable, being the combined results of both emissive and depositional processes as well as atmospheric transport (Wilkinson et al, 2012). For this reason, we conceived the PLAnET model to estimate fluxes directly, while accounting for the underlying emission-deposition processes.…”
Section: Discussionmentioning
confidence: 99%
“…Previous attempts to understand the distribution of PBAs in the atmosphere tended to simplify the surface-atmosphere transport both by deriving emissions from airborne concentrations (Burrows et al, 2009a) and by making ecosystem-wide assumptions about emissions (Bur-rows et al, 2009a;Hoose et al, 2010;Sesartic et al, 2012). Airborne concentrations are, nevertheless, variable, being the combined results of both emissive and depositional processes as well as atmospheric transport (Wilkinson et al, 2012). For this reason, we conceived the PLAnET model to estimate fluxes directly, while accounting for the underlying emission-deposition processes.…”
Section: Discussionmentioning
confidence: 99%
“…These results indicate that the abundant bacteria with high local abundance have a decreased probability of local extinction and increase probability of dispersal, thereby resulting in a widespread or ubiquitous distribution. In fact, bacteria are of a size where long distance aerial dispersal is clearly possible (Wilkinson et al, 2012) and the more abundant taxa are presumably more likely to become airborneperhaps via bubble burst processes associated with wind-created waves (Hamilton and Lenton, 1998). In addition, the commoner taxa are also more likely to be moved by waterbirds that have been shown to affect the movement of some zooplankton between lakes (Figuerola et al, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…Many microbes can be transported over global distances (Kellogg and Griffin 2006; Schlesinger et al 2006), and biogeographic patterns of microbial community structure suggest widespread long-distance dispersal at global scales (Barberán et al 2007, Darcy et al 2011; Itani and Smith 2016). Mathematical models of long-range transport also show that smaller particles – like spores – are likely to easily attain global distribution (Norros et al 2014, Wilkinson et al 2012). But not all microbes can survive aerial transport, since the atmosphere itself is an extreme environment with stressors including high UV radiation, extreme temperatures, and high potential for desiccation (Griffin et al 2001).…”
Section: Global Aerial Dispersal Of Naganishia Speciesmentioning
confidence: 99%