Predicting the start and peak dates of the Poaceae pollen season in Spain using process-based models

Agricultural and Forest Meteorology

Volumn 149, Issue 2, 2009, Pages 256-262

  Garcia Mozo H ^a   Galan C ^a   Belmonte, J ^b   Bermejo, D ^c   Candau, P ^d   Diaz de la Guardia C ^e   Elvira, B ^f   Gutierrez M ^g   Jato, V ^h   Silva, I ⁱ   Trigo, M M ^j   Valencia, R ^k   Chuine, I ^l  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^c Colegio de Farmacéuticos de Zaragoza ^*  (Spain)

^d UNIVERSITY OF SEVILLE   (Spain)

^e UNIVERSITY OF GRANADA   (Spain)

^f TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^g UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^h UNIVERSITY OF VIGO   (Spain)

ⁱ UNIVERSITY OF EXTREMADURA   (Spain)

^j UNIVERSITY OF MÁLAGA   (Spain)

^k UNIVERSITY OF LEÓN   (Spain)

^l CENTRE D ECOLOGIE FONCTIONNELLE ET EVOLUTIVE   (France)

more..

Author keywords

Aerobiology; Grasses; Modelling; Phenology; Poaceae; Pollen

Indexed keywords

AEROBIOLOGY; BIOCLIMATOLOGY; DATE (TIME); ERROR ANALYSIS; FLOWERING; GRASS; GROWTH RESPONSE; MODEL VALIDATION; PHENOLOGY; PHOTOPERIOD; POLLEN; SPATIAL VARIATION; TEMPERATURE EFFECT; WATER AVAILABILITY;

EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN;

POACEAE;

EID: 57849114746     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2008.08.013     Document Type: Article

References (25)

1. Chuine I., Cour P., and Rousseau D. Fitting models predicting the dates of flowering of temperate-zone tree species using simulating annealing. Plant Cell Environ. 21 (1998) 455-466
2. Chuine I., and Belmonte J. Improving prophylaxis for pollen allergies: predicting the time course of the pollen load of the atmosphere of major allergenic plants in France and Spain. Grana 43 (2004) 65-80
3. Clary J., Savé R., Biel C., and de Herralde F. Water relations in competitive interactions of Mediterranean grasses and shrubs. Ann. Appl. Biol. 144 2 (2004) 149-155
4. Clot B. Forecast of the Poaceae pollination in Zurich and Basel (Switzerland). Aerobiologia 14 2 (1998) 267-268
5. Connor H.E. Grass systematics and evolution. Systematics and Evolution (1986), Smithsonian Institution Press, Washington, D.C., London
6. Davies R.R., and Smith L.P. Forecasting the start and severity of the hayfever season. Clin. Allergy 3 (1973) 263
7. D'Amato G., Cecchi L., Bonini S., Nunes C., Annesi-Maesano I., Behrendt H., Liccardi G., Popov T., and van Cauwenberge P. Allergenic pollen and pollen allergy in Europe. Allergy 62 9 (2007) 976-990
8. Emberlin J., Mullins J., Corden J., Jones S., Savage J., Millington W., Brooke M., and Savage M. Regional variations in grass pollen seasons in the UK, long term trends and forecasts models. Clin. Exp. Allergy 29 (1999) 347-356
9. Férnández-González D., Valencia-Barrera R.M., Vega A., Díaz de la Guardia C., Trigo M.M., Cariñanos P., Guardia A., Pertiñez C., and Rodríguez-Rajo F.J. Analysis of grass pollen concentrations in the atmosphere of several Spanish sites. Polen 10 (1999) 123-132
10. Frenguelli G., Bricchi E., Romano B., Mincigrucci G., and Spieksma F.Th.M. A predictive study on the beginning of the pollen season for Gramineae and Olea europaea L. Aerobiologia 5 1 (1989) 64-70
11. Galán C., Emberlin J., Domínguez E., Bryant D., and Villamandos F. A comparative analysis of daily variations in the Gramineae pollen counts at Córdoba, Spain and London, UK. Grana 34 (1995) 189-198
12. Galán C., Cariñanos P., Alcázar P., and Domínguez-Vilches E. Spanish Aerobiology Network (REA): Management and Quality Manual (2007), Servicio publicaciones de la Universidad de Córdoba, Córdoba, Spain
13. Hirst J. An automatic volumetric spore-trap. Ann. Appl. Biol. 36 (1952) 257-265
14. Laaidi M. Forecasting the start of the pollen season of Poaceae: evaluation of some methods based on meteorological factors. Int. J. Biometeorol. 45 1 (2001) 1-7
15. Marsaglia G., Zaman A., and Tsang W.W. Towards a universal random number generator. Statist. Probab. Lett. 8 (1990) 35-39
16. Metropolis N., Rosenbluth A.W., Rosenbluth M.N., and Teller A.H. Equation of state calculation by fast computing machines. J. Chem. Phys. 21 (1953) 1087-1093
17. Moseholm L., Weeke E.R., and Petersen B.N. Forecast of pollen concentrations of Poaceae (grasses) in the air by time series analysis. Pollen Spores 29 (1987) 305-322
18. Norris-Hill J. The modelling of daily variations in the Gramineae pollen counts at Córdoba, Spain, and London, UK. Grana 34 (1995) 189-198
19. Prieto-Baena J.C., Hidalgo P., Domínguez E., and Galán C. Pollen production in the Poaceae family. Grana 42 (2003) 153-160
20. Prieto-Baena, J.C., 2004. Estudio de la producción potencial de polen y de la emisión polínica de la familia Poaceae en la ciudad de Córdoba: aplicación en Aerobiología. Doctoral Thesis, University of Cordoba, Córdoba, Spain.
21. Raju M.V.S., Jones E.J., and Ledingham G.F. Floret anthesis and pollination in wild oats (Avena fatua). Can. J. Bot. 63 (1985) 2187-2195
22. Sánchez-Mesa J.A., Galán C., and Hervás C. The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate. Int. J. Biometeorol. 49 6 (2005) 355-362
23. Smith M., and Emberlin J. A 30-day-ahead forecast model for grass pollen in north London United Kingdom. Int. J. Biometeorol. 50 4 (2006) 233-242
24. Stach A., Smith M., Prieto-Baena J.C., and Emberlin J. Long-term and short-term forecast models for Poaceae (grass) pollen in Poznan, Poland, constructed using regression analysis. Environ. Exp. Bot. 62 (2008) 323-332
25. Subiza J. Gramíneas: Aerobiología y polinosis en España. Allergol. Inmunol. Clin. 18 3 (2003) 7-23