On the measurement uncertainty of Hirst-type volumetric pollen and spore samplers

Aerobiologia - Trang 1-15 - 2021
Simon Adamov1, Natalie Lemonis1,2, Bernard Clot1, Benoît Crouzy1, Regula Gehrig1, Marie-José Graber1, Christine Sallin1, Fiona Tummon1
1Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland
2Now at J’aime ma planète, Geneva, Switzerland

Tóm tắt

Hirst-type volumetric spore traps are used across the globe and are the current standard instrument for monitoring pollen. While they suffer from various issues related to sampling, measurement, and human error, they are, nevertheless, relatively cost-efficient and robust instruments that have been in use for decades. They are also the only reference against which newer instruments can be directly evaluated and it is thus important to understand and quantify all errors to make fair comparisons. Here, we investigate the variability across three Hirst-type traps run in parallel for three months during the main pollen season in Payerne, Switzerland. A variety of temporal resolutions is studied. Overall, daily average values show median relative differences of 16% for total pollen (inter-quartile range (IQR) = 8–32%) and between 23 and 67% for the top three taxa considered. The values are identical for total pollen when only concentrations > 10 pollen grains/m3 are considered, but decrease notably for the individual taxa investigated, with median relative differences ranging 14–30%. At the 2-hourly resolution, there is considerably more variability between the three samplers, with median relative differences of 42% for total pollen (IQR = 20–88%) and 62–120% for the top three taxa, respectively. Again, when the lowest concentrations are not included, these differences decrease somewhat to 40% for total pollen (IQR = 19–78%) and 41–56% for the top three taxa, respectively. Observations of low concentrations below 10 pollen grains/m3 therefore have a large impact on the measurement uncertainty: for daily average total pollen concentrations there are differences of over 100% between the three samplers, and for individual taxa differences reach up to 200%, the maximum value possible in terms of pairwise comparisons.

Tài liệu tham khảo

Berggren, B., Nilsson, S., & Boëthius, G. (1995). Diurnal variation of airborne birch pollen at some sites in Sweden. Grana, 34, 251–259.

Beug, H.-J. (2004). Leitfaden der Pollenbestimmung fur Mitteleuropa und angrenzende Gebiete. Verlag Friedrich Pfeil.

Borycka, K., & Kasprzyk, I. (2018). Hourly pattern of allergenic alder and birch pollen concentrations in the air: Spatial differentiation and the effect of meteorological conditions. Atmospheric Environment, 182, 179–192.

Burbach, G. J., Heinzerling, L. M., Edenharter, G., Bachert, C., Bindslev-Jensen, C., Bonini, S., Bousquet, J., Bousquet-Rouanet, L., Bousquet, P. J., Bresciani, M., Bruno, A., Canonica, G. W., Darsow, U., Demoly, P., Durham, S., Fokkens, W. J., Giavi, S., Gjomarkaj, M., Gramiccioni, C., … Zuberbier, T. (2009). GA2LEN skin test study II: Clinical relevance of inhalant allergen sensitizations in Europe. Allergy, 64, 1507–1515.

Buters, J. T. M., Thibaudon, M., Smith, M., Kennedy, R., Rantio-Lehtimäki, A., Albertini, R., Reese, G., Weber, B., Galán, C., Brandao, R., Antunes, C. M., Jäger, S., Berger, U., Celenk, S., Grewling, Ł, Jackowiak, B., Sauliene, I., Weichenmeier, I., Pusch, G., … Cecchi, L. (2012). Release of Bet v 1 from birch pollen from 5 European countries. Results from the HIALINE study. Atmospheric Environment, 55, 496–505.

Buters, J. T. M., Antunes, C., Galveias, A., Bergmann, K. C., Thibaudon, M., Galán, C., Schmidt-Weber, C., & Oteros, J. (2018). Pollen and spore monitoring in the world. Clinical Translational Allergy. https://doi.org/10.1186/s13601-018-0197-8

Cariñanos, P., Emberlin, J., Galán, C., & Dominguez-Vilches, E. (2000). Comparison of two pollen counting methods of slides from a hirst type volumetric trap. Aerobiologia, 16, 339.

CEN/EN 16868:2019 (2019). Ambient air - Sampling and analysis of airborne pollen grains and fungal spores for networks related to allergy networks – Volumetric Hirst method. European Standard, European Committee for Standardisation, Brussels, Belgium, 38p.

Clot, B. (2001). Airborne birch pollen in Neuchatel (Switzerland): Onset, peak and daily patterns. Aerobiologia, 17, 25–29.

Comtois, P., Alcazar, P., & Néron, D. (1999). Pollen counts statistics and its relevance to precision. Aerobiologia, 15, 19–28.

Cotos-Yáñez, T. R., Rodríguez-Rajo, F. J., Pérez-González, A., Aira, M. J., & Jato, V. (2013). Quality control in aerobiology: Comparison different slide reading methods. Aerobiologia, 29, 1–11.

Crouzy, B., Stella, M., Konzelmann, T., Calpini, B., & Clot, B. (2016). All-optical automatic pollen identification: Towards an operational system. Atmospheric Environment, 140, 202–212.

Cunha, M., Ribeiro, H., & Abreu, I. (2016). Pollen-based predictive modelling of wine production: Application to an arid region. European Journal of Agronomy, 73, 42–54.

de Weger, L. A., Bergmann, K. C., Rantio-Lehtimäki, A., Dahl, A., Buters, J., Déchamp, C., Belmonte, J., Thibaudon, M., Cecchi, L., Besancenot, J. P., Galán, C., & Waisel, Y. (2013). Impact of pollen. In M. Sofiev & K. C. Bergmann (Eds.), Allergenic pollen: A review of the production, release, distribution and health impacts (pp. 161–215). Springer Science+Business Media.

Ekebom, A., Nilsson, S., Saar, M., & Van Hage-Hamsten, M. (1997). A comparative study of airborne pollen concentrations of three allergenic types in Tartu (Estonia), Roma/Gotland and Stockholm (Sweden) 1990–1996. Grana, 36, 366–372.

Fisher, R. A. (1919). The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh, 52, 399–433.

Frenz, D. A. (1999). Comparing pollen and spore counts collected with the Rotorod Sampler and Burkard spore trap. Annals of Allergy, Asthma and Immunology, 83, 341–349.

Galán, C., Smith, M., Thibaudon, M., Frenguelli, G., Oteros, J., Gehrig, R., Berger, U., Clot, B., Brandao, R., & EAS QC Working Group. (2014). Pollen monitoring: minimum requirements and reproducibility of analysis. Aerobiologia, 30, 385–395.

Gottardini, E., & Cristofolini, F. (1997). Spring airborne pollen data in two sites in Trentino (Northern Italy): A comparison with meteorological data. Aerobiologia. https://doi.org/10.1007/BF02694508

Gottardini, E., Cristofori, A., Vannini, A., & Ferretti, M. (2009). Sampling bias and sampling errors in pollen counting in aerobiological monitoring in Italy. Journal of Environmental Monitoring, 11, 751–755.

Hirst, J. M. (1952). An automatic volumetric spore trap. Annals of Applied Biology, 39, 257–265.

Irdi, G. A., Jones, J. R., & White, C. M. (2002). Pollen and fungal spore sampling and analysis. Statistical evaluations. Grana, 41(1), 44–47.

Käpylä, M., & Penttinen, A. (1981). An evaluation of the microscopical counting methods of the tape in Hirst-Burkard pollen and spore trap. Grana, 20, 131–141.

Karrer, G., Skjøth, C. A., Šikoparija, B., Smith, M., Berger, U., & Essl, F. (2015). Ragweed (Ambrosia) pollen source inventory for Austria. Science of the Total Environment, 523, 120–128.

Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30, 81–93.

Konietschke, F., Placzek, M., Schaarschmidt, F., & Hothorn, L. A. (2015). nparcomp: An R software package for nonparametric multiple comparisons and simultaneous confidence intervals. Journal of Statistical Software, 64, 1–17.

Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47, 583–621.

Mandrioli, P., Comtois, P., & Levizzani, V. (1998). Methods in Aerobiology (p. 262p). Pitagora Editrice.

Meiffren, I. (1988). Airborne pollen of Toulouse, southern France. Comparison with Bordeaux and Montpellier. Grana, 27, 183–201.

Mitakakis, T. Z., & McGee, P. A. (2000). Reliability of measures of spores of Alternaria and pollen concentrations in air over two towns in rural Australia. Grana, 39, 141–145.

Oteros, J., Galán, C., Alcazar, P., & Dominguez-Vilches, E. (2013). Quality control in bio-monitoring networks, Spanish Aerobiology Network. Science of the Total Environment, 443, 559–565.

Oteros, J., Orlandi, F., García-Mozo, H., Aguilera, F., Ben, D. A., Bonofiglio, T., Abichou, M., Ruiz-Valenzuela, L., Trigo, M. M., Díaz de la Guardia, C., Domínguez-Vilches, E., Msallem, M., Marco Fornaciari, M., & Galán, C. (2014). Better prediction of Mediterranean olive production using pollen-based models. Agronomy and Sustainable Development, 34, 685–694.

Oteros, J., Buters, J., Laven, G., Röseler, S., Wachter, R., Schmidt-Weber, C., & Hofmann, F. (2017). Errors in determining the flow rate of Hirst-type pollen traps. Aerobiologia, 33, 201–210.

Pawankar, R., Canonica, G.W., Holgate, S.T., Lockey, R.F., & Blaiss, M. (2013). World Allergy Organisation (WAO) White Book on Allergy: Update 2013. Milwaukee World Allergy Organisation.

Pearson, K. (1895). Note on regression and inheritance in the case of two parents. Proceedings of the Royal Society of London, 58, 240–242.

Pedersen, B. V., & Moseholm, L. (1993). Precision of the daily pollen count. Identifying sources of variation using variance component models. Aerobiologia, 9, 15–26.

Prtenjak, M. T., Srnec, L., Peternel, R., Madzarevic, V., Hrga, I., & Stjepanovic. . (2012). Atmospheric conditions during high ragweed pollen concentrations in Zagreb, Croatia. International Journal of Biometeorology, 56, 1145–1158.

R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/.

Rizzi, L., Pizzulin, M., & Larese, F. (1992). Comparison between the allergenic airborne pollen in Trieste and at Lozzo di Cadore (Italy) in 1989. Aerobiologia, 8, 385–391.

Rojo, J., Oteros, J., Perez-Badia, R., Cervigon, P., Ferencova, Z., Gutierrez-Bustillo, M., Bergmann, K.-C., Oliver, G., Thibaudon, M., Albertini, R., Rodriguez-De la Cruz, D., Sanchez-Reyes, E., Sanchez-Sanchez, J., Pessi Jukka Reiniharju, A.-M., Saarto, A., Calderon, M.C., Guerrero, C., Berra, D., Bonini, M., Chiodini, E., Fernandez-Gonzalez, D., Garcia, J., Trigo, M.M., Myszkowska, D., Fernandez-Rodriguez, S., Tormo-Molina, R., Damialis, A., Haering, F., Traidl-Hoffmann, C., Severova, E., Caeiro, E., Ribeiro, H., Magyar, D., Makra, L., Udvardy, O., Alcazar, P., Galán, C., Borycka, K., Kasprzyk, I., Newbigin, E., Adams-Groom, B., Apangu, G.P., Frisk, C.A., Skjoth, C., Radišic, P., Šikoparija, B., Celenk, S. , Schmidt-Weber, C., & Buters, J. (2019). Near-ground effect of height on pollen exposure. Environment Research, 174, 160-169.

Sarda Estève, R., Baisnée, D., Guinot, B., Petit, J.-E., Sodeau, J., O’Connor, D., Besancenot, J.-P., Thibaudon, M., & Gros, V. (2018). Temporal variability and geographical origins of airborne pollen grains concentrations from 2015 to 2018 at Saclay, France. Remote Sensing, 10, 1932.

Sauliene, I., Sukiene, L., Daunys, G., Valiulis, G., Vaitkevicius, L., Matavulj, P., Brdar, S., Panic, M., Sikoparija, B., Clot, B., Crouzy, B., & Sofiev, M. (2019). Automatic pollen recognition with the rapid-E particle counter: The first-level procedure, experience and next steps. Atmospheric Measurement Techniques, 12, 3435–3452.

Sauvageat, E., Zeder, Y., Auderset, K., Calpini, B., Clot, B., Crouzy, B., Konzelmann, T., Lieberherr, G., Tummon, F., & Vasilatou, K. (2020). Real-time pollen monitoring using digital holography. Atmospheric Measurement Techniques, 13, 1–12.

Savary, S., Willocquet, L., Pethybridge, S. J., Esker, P., McRoberts, N., & Nelson, A. (2019). The global burden of pathogens and pests on major food crops. Nature Ecology and Evolution, 3, 430–439.

Sikoparija, B., Smith, M., Skjøth, C. A., Radisic, P., Milkovska, S., & Brandt, J. (2009). The Pannonian plain as a source of Ambrosia pollen in the Balkans. International Journal of Biometeorology, 53, 263–272.

Sikoparija, B., Pejak-Sikoparija, T., Radisic, P., Smith, M., & Galán Soldevilla, C. (2011). The effect of changes to the method of estimating the pollen count from aerobiological samples. Journal of Environmental Monitoring, 13, 384–390.

Sikoparija, B., Galán, C., Smith, M., & EAS QC Working Group. (2017). Pollen-monitoring: Between analyst proficiency testing. Aerobiologia, 33, 191–199.

Smith, M., Oteros, J., Schmidt-Weber, C., & Buters, J. T. M. (2019). An abbreviated method for the quality control of pollen counters. Grana, 58, 185–190.

Spearman, C. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15, 72–101.

Tormo Molina, R., Munoz Rodriguez, A., & Silva Palacios, I. (1996). Sampling in aerobiology. Differences between traverses along the length of the slide in Hirst spore traps. Aerobiologia, 12, 161–166.

Tormo Molina, R., Maya Manzano, J. M., Fernandez Rodriguez, S., Gonzalo Garijo, A., & Silva Palacios, I. (2013). Influence of environmental factors on measurements with Hirst spore traps. Grana, 52, 59–70.

Tukey, J. W. (1949). Comparing individual means in the analysis of variance. Biometrics, 5, 99–114.

Zhang, Y., Bielory, L., Mi, Z., Robock, A., & Georgopoulos, P. (2015). Allergenic pollen season variations in the past two decades under changing climate in the United States. Global Change Biology, 21, 1582–1589.

Ziello, C., Sparks, T. H., Estrella, N., Belmonte, J., Bergmann, K. C., Bucher, E., Brighetti, M. A., Damialis, A., Detandt, M., Galán, C., Gehrig, R., Grewling, L., Gutierrez Bustillo, A. M., Hallsdottir, M., Kckhans-Bieda, M.-C., De Linares, C., Myszkowska, D., Paldy, A., Sanchez, A., … Menzel, A. (2012). Changes to airborne pollen counts across Europe. PLoS ONE. https://doi.org/10.1371/journal.pone.0034076

Ziska, L. H., Makra, L., Harry, S. K., Bruffaerts, N., Hendrickx, M., Coates, F., Saarto, A., Thibaudon, M., Oliver, G., Damialis, A., Charalampopoulos, A., Vokou, D., Heiđmarsson, S., Guđjohnsen, E., Bonini, M., Oh, J., Sullivan, K., Ford, L., Brooks, G. D., … Crimmins, A. R. (2019). Temperature-related changes in airborne allergenic pollen abundance and seasonality across the northern hemisphere: A retrospective data analysis. The Lancet Planetary Health, 3(3), e124–e131.

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