Frequency distributions of event durations for PM_2.5 and FRP exceedances.

<p>a) Sydney and b) Perth. Values for PM_2.5 and FRP are the 95th percentiles.</p

Seasonal PM_2.5 distribution for a) Sydney; b) Perth.

<p>For each season the mean, standard deviation, 95th percentile and individual outliers are plotted. The y axis is the maximum daily PM_2.5 (Particulate Pollution <2.5 µm in size, in µg/m³ ).</p

Predictions from the best model for Sydney.

<p>The plots give the relationship between PM₂₅ and FRP₀₁ at different levels of wind speed_sta, PM25_lag, C-Haines and FFDI. For wind speed_sta and C-Haines these levels are the quartiles (25, median, 75) while for PM25_lag and FFDI they are set levels (i.e. 50 represents PM_2.5 exceedance and also a fire danger of Severe). In each plot, all other variables are held at their median values.</p

Location of Sydney and Perth, with the best radius also shown.

<p>Location of Sydney and Perth, with the best radius also shown.</p

Unweighted (left) and weighted (right) hotspot rose.

<p>a) Sydney; b) Perth. The diagram shows the sum of FRP values (raw or weighted as FRP/distance²) in 10° sectors around the compass. The scale is in FRP units.</p

Map of the two study landscapes: a) Sydney; b) Perth.

<p>Dominant vegetation types are shaded and hotspots during the study are superimposed: forest/woodland hotspots in red; and non forest/woodland hotspots in black. Distances from the pollution monitor are shown as concentric rings.</p

Final model tables.

<p>Importance refers to Relative Importance: the proportion of explained variance attributable to each variable (sum to 1.0).</p

The goodness of fit between FRP and PM_2.5 at increasing lag durations for Sydney and Perth.

<p>For each lag, three measures were compared: A) the lag day on its own (Lag FRP); B) all days including the current (Combined FRP); and C) all days from the lag to the day before the current one (Combined Forecast FRP).</p

Land cover attribute for Australia and New Zealand with climatological summaries for each major urban centre associated with an aerobiology study.

<p>Climate summaries include average monthly precipitation and minimum and maximum temperatures for each urban area (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0097925#pone-0097925-t003" target="_blank">Table 3</a> for data sources). Data shown for Whangarei represents the Kaikohe pollen count site.</p

Aerobiologically significant pollen taxa contributing >80% to the total annual atmospheric pollen in urban areas across Australia and New Zealand.

<p>Pollen taxa values are expressed as a percentage of the total pollen count for the record period available in each urban area (*excluded from ranking as only occurs in one urban area). The average and rank of percentage values across all urban areas is given in the right hand column. The category “Other” includes all pollen taxa counted in the total pollen sum and not identified to taxa here.</p