2015
DOI: 10.1016/j.scitotenv.2015.03.108
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Ragweed (Ambrosia) pollen source inventory for Austria

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Cited by 35 publications
(50 citation statements)
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References 30 publications
(66 reference statements)
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“…It is well known that the orography of the European mountain systems has been a strong influence on the biogeography and evolution of mountain and high latitude species (Schmitt, 2009;Karrer et al, 2015). The Pyrenean chain is a major mountain range in SW Europe.…”
Section: Introductionmentioning
confidence: 99%
“…It is well known that the orography of the European mountain systems has been a strong influence on the biogeography and evolution of mountain and high latitude species (Schmitt, 2009;Karrer et al, 2015). The Pyrenean chain is a major mountain range in SW Europe.…”
Section: Introductionmentioning
confidence: 99%
“…There are otherwise several accounts on the distribution of ragweed. However, these are mostly indirect studies based exclusivelly on herbarium data and floristic literature (Chauvel et al, 2006;Essl et al, 2009;Richter et al, 2013) or pollen monitoring (Skjøth et al, 2010;Karrer et al, 2015), only Pinke et al (2011) surveyed 243 arable ragweed infested fields. In Hungary, as a result of extensive data collection a comprehensive study about integrated methods of suppressing ragweed appeared (Kazinczi and Novak, 2014).…”
Section: Resultsmentioning
confidence: 99%
“…Mapping sources of airborne pollen has been an important area of research and notable contributions include Skjøth et al (2008) and Pauling et al (2012). An alternative method, which combines land use data, annual pollen indices and local knowledge of species distribution, has successfully been used to produce a series of source inventories for Ambrosia pollen that now covers most of the main areas of Ambrosia infestation in Europe (Skjøth et al 2010;Thibaudon et al 2014;Karrer et al 2015). These collaborations were aided by another European COST Action (FA1203 for the Sustainable Management of Ambrosia artemisiifolia in Europe -SMARTER) and the inventory for France has been shown to result in the best correspondence between observed and simulated airborne Ambrosia pollen concentrations when entered into COSMO-ART (Zink et al 2017).…”
Section: Aerobiological Modelling and Forecasting In Ijbmentioning
confidence: 99%