Recent developments in monitoring and modelling airborne pollen, a review

Abstract

The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRaP URL' above for details on accessing the published version and note that access may require a subscription.

Airborne Fungal Spore Review, New Advances and Automatisation

“…Many aerobiological studies have largely focussed on forecasting airborne pollen concentrations [109]; however, fungal spores are more abundant and could contribute a higher risk of initialising acute respiratory conditions [110], resulting is a need for their forecasting. Although remaining comparatively less frequent (relative to pollen), the development of fungal spore models has become a topic of increased prominence in more recent times [111].…”

Mapping abundance distributions of allergenic tree species in urbanized landscapes: A nation-wide study for Belgium using forest inventory and citizen science data

“…In addition, assessment of the spatial distribution of pollen sources is an important prerequisite for the application of pollen dispersion models (Jose María Maya-Manzano et al, 2021;Shin et al, 2020).…”

“…Source maps for birch pollen distribution modelling can often be obtained from forest inventories (J. M. Maya-Manzano et al, 2021;Verstraeten et al, 2019), although urban green spaces, which are also important sources of birch pollen, are in general not included in national forest inventories. There is clearly a need for abundance maps of allergenic vegetation that include vegetated areas outside forests and that are potentially time-dependant (i.e.…”

The need for Pan‐European automatic pollen and fungal spore monitoring: A stakeholder workshop position paper

“…A range of instruments based on different technologies are able to provide data in real-time (i.e., within minutes or a few hours of the measurement) at high temporal resolution (3 h or less). 24,25,26,27,28,29,30,31,32 Such developments are transforming the approach to monitoring not only of pollen and fungal spores, but the full capacity of these instruments is just starting to be explored and a much broader range of particles can likely be identified, 28 for example, particulate matter levels. 34 Somewhat similar to what is done for weather forecasts, such high temporal resolution and near real-time observations can be integrated into numerical models to provide improved spatial forecasts.…”