Testing quantitative pollen dispersal models in animal-pollinated vegetation mosaics: An example from temperate Tasmania, Australia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F16%3A10334431" target="_blank" >RIV/00216208:11310/16:10334431 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.quascirev.2016.10.020" target="_blank" >http://dx.doi.org/10.1016/j.quascirev.2016.10.020</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.quascirev.2016.10.020" target="_blank" >10.1016/j.quascirev.2016.10.020</a>
Alternative languages
Result language
angličtina
Original language name
Testing quantitative pollen dispersal models in animal-pollinated vegetation mosaics: An example from temperate Tasmania, Australia
Original language description
Reconstructing past vegetation abundance and land-cover changes through time has important implications in land management and climate modelling. To date palaeovegetation reconstructions in Australia have been limited to qualitative or semi-quantitative inferences from pollen data. Testing pollen dispersal models constitutes a crucial step in developing quantitative past vegetation and land cover reconstructions. Thus far, the application of quantitative pollen dispersal models has been restricted to regions dominated by wind-pollinated plants (e.g. Europe) and their performance in a landscape dominated by animal-pollinated plant taxa is still unexplored. Here we test, for the first time in Australia, two well-known pollen dispersal models to assess their performance in the wind- and animal-pollinated vegetation mosaics of western Tasmania. We focus on a mix of wind- (6 taxa) and animal- (7 taxa) pollinated species that comprise the most common pollen types and key representatives of the dominant vegetation formations. Pollen Productivity Estimates and Relevant Source Area of Pollen obtained using Lagrangian Stochastic turbulent simulations appear to be more realistic when compared to the results from the widely used Gaussian Plume Model.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EF - Botany
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Quarternary Science Reviews
ISSN
0277-3791
e-ISSN
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Volume of the periodical
154
Issue of the periodical within the volume
December 2016
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
214-225
UT code for WoS article
000390505700012
EID of the result in the Scopus database
2-s2.0-84995792517