Marta Recio

ATMOSPHERIC TRANSPORTATION OF MARIHUANA POLLEN FROM NORTH AFRICA TO THE SOUTHWEST OF EUROPE

As a result of aerobiological samples taken on the Costa del Sol (S. Spain), Cannabis sativa L. (marihuana) pollen was detected from May to September 1991-1996, always sporadically and usually during the afternoons. Sampling was by two volumetric spore traps set up in Malaga and Estepona, two coastal towns approximately 90 km apart. A study of the days when this pollen was recorded points to the movement of air masses from North Africa to southern Spain. Furthermore, the isentropic air trajectories calculated for these days reinforce the possibility of the pollen originating in marihuana plantations in northern Morocco (Rif). This study demonstrates the application of aerobiology to the control of the source, quantity and phenology of the crop.

Fungal spore content of the atmosphere of the Cave of Nerja (southern Spain): diversity and origin.

Fungal spores are of great interest in aerobiology and allergy due to their high incidence in both outdoor and indoor environments and their widely recognized ability to cause respiratory diseases and other pathologies. In this work, we study the spore content of the atmosphere of the Cave of Nerja, a karstic cavity and an important tourist attraction situated on the eastern coast of Malaga (southern Spain), which receives more than half a million visitors every year. This study was carried out over an uninterrupted period of 4 years (2002-2005) with the aid of two Hirst-type volumetric pollen traps (Lanzoni VPPS 2000) situated in different halls of the cave. In the atmosphere of the Cave of Nerja, 72 different spore types were detected during the studied period and daily mean concentrations of up to 282,195 spores/m(3) were reached. Thirty-five of the spore types detected are included within Ascomycota and Basidiomycota (19 and 16 types, respectively). Of the remaining spore types, 32 were categorized within the group of so-called imperfect fungi, while Oomycota and Myxomycota were represented by 2 and 3 spore types, respectively. Aspergillus/Penicillium was the most abundant spore type with a yearly mean percentage that represented 50% of the total, followed by Cladosporium. Finally, the origin of the fungal spores found inside the cave is discussed on the basis of the indoor/outdoor concentrations and the seasonal behaviour observed.

Olea Europaea Pollen in the Atmosphere of Málaga (S. Spain) and its Relationship with Meteorological Parameters

Abstract The atmosphere of Malaga was sampled from 1992 to 1995 for the pollen of Olea europaea L., one of the most common airborne allergens in the Mediterranean area. A Burkard seven-day-recording trap showed that the pollen of this species is principally detected during spring with the highest concentrations occurring in May. During the main pollination period, the 24 hour intradiurnal variation pattern showed a high degree of homogeneity with no noteworthy peaks. The correlations between the pollen concentrations recorded and the different meteorological parameters show that temperature, sunshine hours and wind direction are those most closely correlated with variations in the daily pollen count.

Accumulative air temperature as a predicting parameter for daily airborne olive pollen (Olea europaea L.) during the pre‐peak period in Málaga (Western Mediterranean area)

Although olive pollen is one of the most widespread aeroallergens in the Mediterranean area, very few studies present predictive models. We have already seen that in Malaga (Southern Spain) the meteorological variables which have the greatest influence on airborne pollen concentrations during the pre‐peak period are accumulated rainfall and mean temperatures from the chilling requirement for flowers buds initiation. This work presents the simple and multiple linear regressions obtained by using daily pollen concentrations as a dependent variable and the daily values of the above mentioned meteorological parameters as independent variables. When establishing an overall predictive model, we chose the equation of the simple linear regression pollen‐accumulated temperatures obtained during 1992–94 (y = 0.003x‐3.863) since this provided the greatest lineal fitting.

Analysis of the predicting variables for daily and weekly fluctuations of two airborne fungal spores: Alternaria and Cladosporium.

Alternaria and Cladosporium are two fungal taxa whose spores (conidia) are included frequently in aerobiological studies of outdoor environments. Both spore types are present in the atmosphere of Malaga (Spain) throughout almost the entire year, although they reach their highest concentrations during spring and autumn. To establish predicting variables for daily and weekly fluctuations, Spearman’s correlations and stepwise multiple regressions between spore concentrations (measured using a volumetric 7-day recorder) and meteorological variables were made with results obtained for both spore types in 1996 and 1997. Correlations and regressions were also made between the different taxa and their concentrations in different years. Significant and positive correlation coefficients were always obtained between spore concentrations of both taxa, followed by temperature, their concentrations in different years, sunshine hours and relative humidity (this last in a negative sense). For the two spore types we obtained higher correlation and regression coefficients using weekly data. We showed different regression models using weekly values. From the results and a practical point of view, it was concluded that weekly values of the atmospheric concentration of Alternaria spores can be predicted from the maximum temperature expected and its concentrations in the years sampled. As regards the atmospheric concentration of Cladoposrium spores, the weekly values can be predicted based on the concentration of Alternaria spores, thus saving the time and effort that would otherwise be employed in counting them by optical microscopy.

Intradiurnal fluctuations in airborne pollen in Málaga (S. Spain): A quantitative method

Intradiurnal fluctuations in the airborne pollen count of nine of the taxa which are most important in the atmosphere of Malaga (SE Spain) were studied. A mathematical formula, the “intradiurnal distribution index”; (IDI), permitted an accurate numerical comparison of the different years and taxa studied. Sampling was carried out during the period 1992–1995 with the aid of a Burkard volumetric spore trap. Although on the basis of the IDI values obtained, three types of behaviour were distinguished, most taxa showed maximum concentration peaks around midday.

A statistical approach to comparing the results from different aerobiological stations

The recent increase in the number of aerobiological stations means that it is possible to make comparative studies, not only to ascertain similarities and differences between pollen counts in different places, but also to ascertain the most suitable places for them to be situated and the most adequate distance which should be established between them. To this end, we present a statistical comparison of the results obtained for the pollen of the ten most abundant taxa, as recorded in the sampling stations of Malaga and Estepona (South of Spain) during 1995-97. The stations are 90km apart. The variables compared were the following: mean daily concentrations (for each year and the total period studied), the mean concentration of the three years for the same date (trend) and the deviation from this mean (for each year and taken as a whole). The interannual differences within and between stations were taken into account as regards the association, concentration and distribution of the variables. The results of the tests applied point that significant differences between the two stations were observed for most of the pollen types studied. Despite of this, a positive and significant correlation exists between the mean daily concentrations of the different taxa at the two stations, which is an important finding if we consider the possibility of making reliable predictions for one sampling site based on the data obtained at the other.

Pollen calendar of malaga (Southern Spain), 1991–1995

A pollen calendar has been constructed for Malaga (Southern Spain) based on the data obtained during 5 years (1991–95) using a Burkard spore trap set up approximately 1 km west of the city. The calendar only reflects taxa which showed a 10-day mean pollen concentration equal to or greater than 1 grain of pollen/m3 of air. Twenty nine taxa are included, of which the three commonest (Olea europaea, Cupressaceae andQuercus) represent approximately 54% of the total annual count and the following four (Chenopodiaceae-Amaranthaceae, Gramineae, Urticaceae andPlantago) represent 21.3%. The greatest diversity of pollen types occurs during Spring and the highest concentrations from February to June, when approximately 85% of the total annual pollen is registered. Several peaks occur during the year principally due to Cupressaceae in February,Quercus in April,Olea europaea in May andCasuarina in October, although substantial quantities of Urticaceae, Chenopodiaceae-Amaranthaceae,Plantago and Gramineae are also detected in April and May. The pollination of important allergy-producing taxa such as olive and grass takes place earlier in Malaga than in cities more inland, so that the data presented here may be useful in predicting the beginning of the pollination season of these localities.

Annual, daily and diurnal variations of Urticaceae airborne pollen in Málaga (Spain)

In the Mediterranean area, Urticaceae pollen, together with the pollen of olive and grasses, are the aeroallergens with the highest incidence in the population. From October 1991 to September 1993, with the aid of a Burkard spore-trap, we carried out a study on the Urticaceae pollen content in the atmosphere of Málaga, a seaside resort situated in the Costa del Sol (southern Spain). In Málaga, the Urticaceae pollen season is very long and their pollen grains are detected throughout the year. However, peaks were recorded in March and April and the variables most influencing concentration were maximum air temperature, sunshine hours and relative humidity. Diurnal patterns show that peaks occur generally from 10:00 h to 16:00 h when the temperature reaches its highest values.

Predictive models in aerobiology: data transformation

This paper attempts to evaluate the effect of mathematical transformations of pollen and meteorogical data used in aerobiological forecasting models. Stepwise multiple regression equations were developed in order to facilitate short term forecasts during the pre-peak period. The daily mean pollen data (xi) expressed as number of pollen grains per cubic metre of air were used directly and transformed into different scales: log(xi + 1), ln((x11000/Σp) + 1) and √xi, where Σp is the sum of the daily mean values throughout the season. Thirteen meteorological parameters and the variable time were used as forecasting variables. The most reliable forecasts were obtained with data transformed by ‘square root’ and with untransformed data. Based on the results obtained, we recommend that the data be transformed by means of the square root if they do not show a normal distribution and that non-linear statistics be used in this kind of study.