Aplicación de la geoestadística al estudio de la fenología floral de Vulpia geniculllta (L.) Link

XV lnternational A.P.L.E. Symposium of Palynolog

Optimización de modelos predictivos a corto y largo plazo de polen de tipo quercus en distintas zonas climáticas

En este trabajo se han analizado, por un lado, datos: polínicos del tipo Quercus, bioclimáticos y meteorológicos de 14 localidades españolas del periodo 1992-2000. A partir de dichos datos se construyeron modelos de pronóstico para las principales características de la estación polínica de este género en la Península Ibérica: Inicio de la Estación, Concentraciones Diarias, Valor Pico, Día Pico e Indice Polínico Anual. Todos los modelos obtenidos se validaron para años de datos no incluidos en los mismos con excelentes resultados estadísticos. Destacaron las diferencias detectadas entre las variables predictoras que entraron en las ecuaciones propuestas para las localidades de la Región Mediterránea y las de la Región Eurosiberiana. Por otra parte se realizó el análisis del contenido polínico de un punto piloto con vegetación típica Mediterránea donde predominan las especies de hoja perenne del género Quercus, Quercus suber, Quercus coccifera y, fundamentalmente Quercus ilex subsp. Ballota. Este estudio se llevó a cabo durante los años 1998-2000. A su vez, en esta zona, se realizó un seguimiento fenológico tanto de las estructuras reproductoras como de los frutos de Quercus ilex subsp. Ballota (encina). Las concentraciones del tipo polínico Quercus en la zona, los datos de fenología floral y frutal, así como los datos meteorológicos del periodo de estudio se integraron para la creación de un modelo preliminar la previsión de cosecha en encina. Los primeros resultados de este estudio nos revelaron que existe una alta correlación entre datos polínicos y de producción frutal en esta especi

A model to account for variations in holm-oak (Quercus ilex subsp. ballota) acorn production in southern Spain

One of the characteristics of holm-oak acorn production is its high variability among individuals and years. To examine the main causes of this fact, a study was conducted from 1998-2010 in a natural area of holm-oak in southern Spain, where floral phenology, fruit production, fruit size, airborne pollen emission and meteorology factors were analyzed with the ultimate aim of developing a model for forecasting holm-oak yield. Pollen emission during flowering season was the main factor determining the final acorn harvest, but also some meteorological variables played an important role in explaining acorn crop variations, especially humidity and temperature during the months of April and September. The reliability of the proposed model was externally validated using data not included in its construction; validation yielded acceptable results, with a minimum error of estimation. Our results appear to be very useful for planning cropping and pig feeding strategies. Further research could extend the use of airborne pollen counts in forest studies relating to anemophilous species, in order to optimize agricultural policie

Analysis of the Orchidaceae Diversity in the Pululahua Reserve, Ecuador: Opportunities and Constraints as Regards the Biodiversity Conservation of the Cloud Mountain Forest

The Pululahua Geobotanical Reserve is a protected natural area in the cloud mountain forest of Ecuador, so rich in orchid species despite being a volcanic area still under threat of volcanic activity. A comparative biodiversity study of orchids was carried out in two different sectors, Chaupisacha (CH) and La Reventazón (LR). Data were collected in 1 ha plots in each sector, in which all the orchids found were counted and two individuals of each species were retained. Immature individuals were conserved in a plant nursery until flowering. In CH, there were 922 individuals grouped into 24 genera and 55 species, while LR had 9196 individuals grouped into 26 genera and 46 species; only 14 species were found in both sectors. Different density and diversity indexes were calculated. The density (ind./100 m2) of CH was 0.96, while that of LR was 185.92. Simpson’s diversity (1 − λ) attained CH 0.903 ± 0.01 and LR 0.85 ± 0.01. The orchid diversity measured by the Shannon-Wiener diversity index (H′) was 1.29 for CH, differing significantly from that of LR (H′ 1.02). The medium equity (Jaccard’s J′) found was 0.61 in CH and 90.78 in LR. Limitations as regards the natural dispersion of orchids seemed to favor endemism. Some species, such as Dracula felix and Restrepia guttulate, are threatened with disappearance from the wild or are vulnerable, as is the case for Epidendrum polyanthogastrium. A lack of information on the phenology and anthropic impacts in the area limit the conservation of species, signifying that new protected figures and seed banks are necessary, especially in CH, owing to its high diversity of orchids

Long-term trends in atmospheric Quercus pollen related to climate change in southern Spain: A 25-year perspective

Long-term trends of atmospheric Quercus pollen recorded for 25 years (1995–2019) in southern Spain (Cordoba city, Andalusia region) have been studied to determine the influence of climate fluctuations and other anthropogenic factors on Mediterranean oak vegetation areas. Atmospheric pollen analysis revealed different changes on reproductive Quercus phenology through the study period. Pollination intensity showed an average cumulated value of the Main Pollen Season Integral of 12,832 Pollen * day/m3, with a high variability among years (±SD 8,048) and a significant rising trend of 771 pollen grains per year, being stronger in recent years (2014–2019). It was remarkable the high quantity of Quercus pollen grains detected out of the Main Pollen Season (703 Pollen * day/m3 ± SD 431), also increasing in recent years. Regarding Quercus phenology, results indicated as the main Quercus species in the area, Quercus ilex subsp. ballota (holm oak), Q. coccifera, Q. faginea and Q. suber, presented a gradually pollination during spring (from mid-March to early June), although a lengthening of the pollination season is observed in recent years. This phenomenon could be explained by the progressive delay in the pollination of Q. suber. Regarding climate factors, a decrease in rainfall, especially during winter and autumn was recorded, along with colder winters but warmer springs, summers, and autumns. These changes were significantly correlated with pollination timing and intensity. The climate parameters most affecting were those related to temperature and sunshine. However, the total annual pollen showed a significant negative correlation with the annual recorded rainfall. Results show that recent climatic change, among other factors, are leading to changes in the timing and intensity of the Quercus pollen season in the Mediterranean area

Factors Driving Autumn Quercus Flowering in a Thermo-Mediterranean Area

The flowering period of plants is a critical time since it determines their reproductive success. Flowering is controlled by different factors including genetic regulation and environmental conditions. In the Mediterranean area, favourable conditions usually occur in spring, when most plant species flower including those of the Mediterranean Quercus genus. This paper reveals and analyses an unusual and lesser-known phenomenon occurring in the two main Mediterranean agroforestry ecosystems of South Europe, the Mediterranean forest and “dehesa”, that is, a second flowering occurring in autumn for the species Quercus ilex subsp. ballota (holm oak). The continuous pollen monitoring of the atmosphere in the city of Cordoba (southern Spain) for 25 years, together with field phenological observations in the area, has indicated that, apart from the main pollination period in spring, secondary flowerings also occasionally occur in this area, specifically in autumn. The present work examines these uncommon pollination events detected in the autumns of certain years with the aim of determining the main environmental factors that influence and control them. During the 25-year study period, there were 7 years in which a secondary Quercus flowering was detected in the area from the second half of October until the end of November. The univariate statistical analysis of the influence of environmental variables determined that the meteorological conditions in September were the most influential. Low mean temperatures, together with record rainfall in that month, led to autumn flowering events. The phenological characteristics of the spring pollen season were also influential. In the years with a shorter spring, the Quercus pollen season tended to present autumn flowerings. A multivariate adaptive regression splines (MARS) model was built to explain the effects of the different variables on the occurrence of autumn pollination. The results indicated that the combined effect of three predicting variables, September rainfall, the length of the spring pollen season, and the end of the spring pollen season, explained 92% of the variance. The validation showed a strong relationship between the expected and the observed autumn pollen concentrations. Therefore, the present analysis of a long-term pollen database revealed that the main causes of this unusual second flowering in autumn were strongly related to climate change, i.e., strong dry summers and warm autumns. In addition, the results showed that the phenomenon was more frequent in the years with low pollination during spring due to different meteorological events potentiated by climate change, such as dryness or heavy rain episodes, as a way of ensuring acorn crops. The results explain how this unusual and lesser-known phenomenon in agroforestry dynamics is related to the adaptation to climate change and the main factors that are driving it, as well as the potential consequences for these important and endangered Mediterranean ecosystems

Comparison between Airborne Pollen and Aeroallergen Quantification with the ChemVol Impact Sampler. Olive pollen vs Ole e 1

Comparison between Airborne Pollen and Aeroallergen Quantification with the ChemVol Impact Sampler. Olive pollen vs Ole e 1. Torres M.C.1, C. Antunes2, M.J. Velasco1, R. Ferro2, H. García-Mozo1, R. Ribeiro2, R.Brandao3, Galán, C1 and the HIALINE team4 1Department of Botany, Ecology and Plant Physiology, University of Córdoba 2Department of Chemistry, University of Évora, Portugal 3Department of Biology, University of Évora, Portugal 4J.T.M. Buters, Germany, M. Thibaudon, France, M. Smith, Great Britain, C. Galan, Spain, R. Brandao and C. Antunes, Portugal, G. Reese, Germany, R. Albertini, Italy, L. Grewling, Poland, A. Rantio-Lehtimäki, Finland, S. Jäger and U. Berger, Austria, I. Sauliene, Lithuania, L. Cecchi, Italy Nowadays, pollinosis is affecting a large percentage of population in the countries with a western life style. The existence of allergenic activity in the atmosphere is not only associated to pollen grains and fungal spores, but also to submicronic and paucimicronic biological particles. The origin of these allergens can be due to the rupture of pollen transported in the atmosphere or to the presence of allergens from other parts of the plant making amorphous material with an allergen load. Olive pollen is recognized as one of the main causes of allergic disease in the Mediterranean area. In this study we have tried to compare olive pollen count in the air and Ole e 1 as major allergen of this species, at two different localities in South of Europe: Evora (Portugal) and Córdoba (Spain). At each location both samplers were placed side-by-side. Pollen grains have been sampled using a volumetric Hirst type spore trap. Chemvol high-volume cascade impactor equipped with stages PM>10µm, 10 µm>PM>2.5µm were used for detecting aeroallergens. Ole e 1 major allergen was determined using allergen specific ELISA´s. Similar behaviour between pollen and the total allergenic load was observed during the pollen season. Nevertheless, at some occasions, during the previous and later period of the pollen season, airborne allergenic load was detected in South Spain, due to the contributions from other Oleaceae species. For this reason the use of these two different methodologies allow a better understanding of the allergenic load in the atmosphere. This work was supported in part by the European Agency for Health and Consumers EAHC, Luxembourg, under the grant agreement 20081107

Atmospheric Pathways and Distance Range Analysis of Castanea Pollen Transport in Southern Spain

The sweet chestnut (Castanea sativa Mill.) is the only native species of this genus in Europe, where it faces various threats that are causing a severe decrease in populations, with the resulting loss of genetic diversity. In the Iberian Peninsula, it is of high economic and ecological importance, being well represented, especially in northern areas, whilst it is limited to isolated populations in medium-range mountains in southern Spain (Andalusia region). Taking advantage of this fragmented distribution, this study analyzes the dynamics of atmospheric transport of Castanea pollen through Andalusia region in order to obtain a better understanding of the pollination pathways as a key aspect of the floral biology of this partially anemophilous species. The aerobiological characteristics of this species are also of special interest since its pollen has been recognized as allergenic. Pollen transport pathways were studied by applying back-trajectories analysis together with aerobiological, phenological, land cover, and meteorological data. The results reveal that airborne Castanea pollen concentrations recorded in the city of Cordoba, in the center of Andalusia region, reach medium- and even long-range distances. The backward-trajectory analysis indicates that most of the pollen data detected outside the Castanea flowering season were related to westerly slow and easterly airflows. Furthermore, some of the case studies analyzed indicate the presence of southerly airflow patterns, which could influence medium- and long-range transport events from chestnut populations further south, even from those located in north African mountains. The integrated analysis of the results offers us better knowledge of the cross-pollination pathways of this endangered species, which help us to understand its genetic flows, as a basis for designing conservation strategies for this highly fragmented species in southern Spain

Pollen spectrum and risk of pollen allergy in central Spain

The present work analyses the airborne pollen dynamic of the atmosphere of Toledo (central Spain), a World Heritage Site and an important tourist city receiving over 2 millions of visitors every year. The airborne pollen spectrum, the annual dynamics of the most important taxa, the infl uence of meteorological variables and the risk of suffering pollen allergy are analysed. Results of the present work are compared to those obtained by similar studies in nearby regions. The average annual Pollen Index is 44,632 grains, where 70–90% is recorded during February–May. The pollen calendar includes 29 pollen types, in order of importance; Cupressaceae (23.3% of the total amount of pollen grains), Quercus (21.2%), and Poaceae and Olea (11.5 and 11.2%, respectively), are the main pollen producer taxa. From an allergological viewpoint, Toledo is a high-risk locality for the residents and tourist who visit the area, with a great number of days exceeding the allergy thresholds proposed by the Spanish Aerobiological Network (REA). The types triggering most allergic processes in Toledo citizens and tourists are Cupressaceae, Platanus, Olea, Poaceae, Urticaceae and Chenopodiaceae-Amaranthaceae. Allergic risk increases in 3 main periods: winter (January–March), with the main presence of the Cupressaceae type; spring, characterized by Poaceae, Olea, Platanus and Urticaceae pollen types; and, fi nally, late summer (August–September), characterized by Chenopodiaceae- Amaranthaceae pollen type, which are the main cause of allergies during these months

Google trends, useful tool in airborne pollen detection

La polinosis es una de las alergias más comunes en el mundo, condicionando de manera directa la calidad de vida de la población, siendo la polinosis al olivo una de las más frecuentes en zonas de clima Mediterráneo. La previsión de los niveles de polen en la atmósfera se ha convertido en un objetivo fundamental para alergólogos y aerobiólogos, tratando de prevenir los síntomas de la polinosis. Google trends es una herramienta desarrollada por Google, que nos facilita información acerca de la dinámica de búsquedas de los usuarios a través de internet. Como objetivo principal de este trabajo se pretende realizar un valoración preliminar de la utilidad de esta herramienta para detectar la presencia de polen en la atmósfera y para explorar el impacto de polinosis entre la población. Para alcanzar dichos objetivos se han empleado datos aerobiológicos sobre concentración de polen de olivo en la atmósfera de Córdoba (España) y datos sobre tendencias de búsqueda en el buscador Google de las palabras “Alergia”, “Polen” y “Olivo”. Se ha observado una elevada correlación y relación geográfica entre la tendencia de búsquedas de palabras relacionadas con polinosis y las concentraciones reales de polen atmosférico. Esta herramienta posee una gran potencial en la lucha contra la polinosis, ya que permite conocer información instantánea acerca de los síntomas en la problación, a diferencia de los métodos tradicionales que presentan un desfase de la información. De este modo, el presente trabajo ofrece evidencias acerca del potencial de Google trends para detectar la presencia de aeroalérgenos y para estudiar el impacto de la polinosisPollinosis is one of the most extended allergies in the world, determining directly the quality of life of the population. Airborne pollen forecasting has become a key objective for allergists and aerobiologists trying to prevent the symptoms of hay fever. Google trends is a tool developed by Google, which provides information about the dynamics of user searches through internet. The main aim of this work is to conduct a preliminary assessment of the usefulness of this tool to detect the presence of large concentrations of pollen in the atmosphere and to explore the impact of pollinosis among the population. To achieve these objectives, the analysis is based on data for olive pollen concentrations in the atmosphere of Cordoba (Spain) and search counts in Google of the words "Allergy", "Pollen" and "Olive". We observed a high correlation and a high geographic relationship between the number of searches for words related to pollen allergy, and the actual concentrations of atmospheric pollen. This tool possesses a great potential in the fight against allergy because it can provide instant and on-line information about symptoms in population, unlike traditional methods that have a mismatch of information. Thus, the present study provides evidence about the potential of Google trends to detect the presence of aeroallergens and to study the impact of pollinosis