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1. European pollen reanalysis, 1980–2022, for alder, birch, and olive

Author

Sofiev, Mikhail, Palamarchuk, Julia, Kouznetsov, Rostislav, Abramidze, Tamuna, Adams-Groom, Beverley, Antunes, Célia M., Ariño, Arturo H., Bastl, Maximilian, Belmonte, Jordina, Berger, Uwe E., Bonini, Maira, Bruffaerts, Nicolas, Buters, Jeroen, Cariñanos, Paloma, Celenk, Sevcan, Ceriotti, Valentina, Charalampopoulos, Athanasios, Clewlow, Yolanda, Clot, Bernard, Dahl, Aslog, Damialis, Athanasios, De Linares, Concepción, De Weger, Letty A., Dirr, Lukas, Ekebom, Agneta, Fatahi, Yalda, Fernández González, María, Fernández González, Delia, Fernández-Rodríguez, Santiago, Galán, Carmen, Gedda, Björn, Gehrig, Regula, Geller Bernstein, Carmi, Gonzalez Roldan, Nestor, Grewling, Lukasz, Hajkova, Lenka, Hänninen, Risto, Hentges, François, Jantunen, Juha, Kadantsev, Evgeny, Kasprzyk, Idalia, Kloster, Mathilde, Kluska, Katarzyna, Koenders, Mieke, Lafférsová, Janka, Leru, Poliana Mihaela, Lipiec, Agnieszka, Louna-Korteniemi, Maria, Magyar, Donát, Majkowska-Wojciechowska, Barbara, Mäkelä, Mika, Mitrovic, Mirjana, Myszkowska, Dorota, Oliver, Gilles, Östensson, Pia, Pérez-Badia, Rosa, Piotrowska-Weryszko, Krystyna, Prank, Marje, Przedpelska-Wasowicz, Ewa Maria, Pätsi, Sanna, Rajo, F. Javier Rodríguyez, Ramfjord, Hallvard, Rapiejko, Joanna, Rodinkova, Victoria, Rojo, Jesús, Ruiz-Valenzuela, Luis, Rybnicek, Ondrej, Saarto, Annika, Sauliene, Ingrida, Seliger, Andreja Kofol, Severova, Elena, Shalaboda, Valentina, Sikoparija, Branko, Siljamo, Pilvi, Soares, Joana, Sozinova, Olga, Stangel, Anders, Stjepanović, Barbara, Teinemaa, Erik, Tyuryakov, Svyatoslav, Trigo, M. Mar, Uppstu, Andreas, Vill, Mart, Vira, Julius, Visez, Nicolas, Vitikainen, Tiina, Vokou, Despoina, Weryszko-Chmielewska, Elżbieta, and Karppinen, Ari

Published
2024
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2. Automatic detection of airborne pollen: an overview

Author

Buters, Jeroen, Clot, Bernard, Galán, Carmen, Gehrig, Regula, Gilge, Stefan, Hentges, François, O’Connor, David, Sikoparija, Branko, Skjoth, Carsten, Tummon, Fiona, Adams-Groom, Beverley, Antunes, Célia M., Bruffaerts, Nicolas, Çelenk, Sevcan, Crouzy, Benoit, Guillaud, Géraldine, Hajkova, Lenka, Seliger, Andreja Kofol, Oliver, Gilles, Ribeiro, Helena, Rodinkova, Victoria, Saarto, Annika, Sauliene, Ingrida, Sozinova, Olga, and Stjepanovic, Barbara

Published
2024
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3. Sentinel-2 satellite and HYSPLIT model suggest that local cereal harvesting substantially contribute to peak Alternaria spore concentrations

Author

Apangu, Godfrey Philliam, Adams-Groom, Beverley, Satchwell, Jack, Pashley, Catherine H., Werner, Małgorzata, Kryza, Maciej, Szymanowski, Mariusz, Malkiewicz, Małgorzata, Bruffaerts, Nicolas, Hoebeke, Lucie, Grinn-Gofroń, Agnieszka, Grewling, Łukasz, Roldan, Nestor Gonzalez, Oliver, Gilles, Sindt, Charlotte, Kloster, Mathilde, and Skjøth, Carsten Ambelas

Published
2022
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5. Sharp Images Detection for Microscope Pollen Slides Observation

Author

Kadaikar, Aysha, Trocan, Maria, Amiel, Frédéric, Conde-Cespedes, Patricia, Guinot, Benjamin, Sarda Estève, Roland, Baisnée, Dominique, Oliver, Gilles, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Nguyen, Ngoc Thanh, editor, Gaol, Ford Lumban, editor, Hong, Tzung-Pei, editor, and Trawiński, Bogdan, editor

Published
2019
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7. Near-ground effect of height on pollen exposure

Author

Rojo, Jesús, Oteros, Jose, Pérez-Badia, Rosa, Cervigón, Patricia, Ferencova, Zuzana, Gutiérrez-Bustillo, A. Monserrat, Bergmann, Karl-Christian, Oliver, Gilles, Thibaudon, Michel, Albertini, Roberto, Rodríguez-De la Cruz, David, Sánchez-Reyes, Estefanía, Sánchez-Sánchez, José, Pessi, Anna-Mari, Reiniharju, Jukka, Saarto, Annika, Calderón, M. Carmen, Guerrero, César, Berra, Daniele, Bonini, Maira, Chiodini, Elena, Fernández-González, Delia, García, José, Trigo, M. Mar, Myszkowska, Dorota, Fernández-Rodríguez, Santiago, Tormo-Molina, Rafael, Damialis, Athanasios, Kolek, Franziska, Traidl-Hoffmann, Claudia, Severova, Elena, Caeiro, Elsa, Ribeiro, Helena, Magyar, Donát, Makra, László, Udvardy, Orsolya, Alcázar, Purificación, Galán, Carmen, Borycka, Katarzyna, Kasprzyk, Idalia, Newbigin, Ed, Adams-Groom, Beverley, Apangu, Godfrey P., Frisk, Carl A., Skjøth, Carsten A., Radišić, Predrag, Šikoparija, Branko, Celenk, Sevcan, Schmidt-Weber, Carsten B., and Buters, Jeroen

Published
2019
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8. Temperature-related changes in airborne allergenic pollen abundance and seasonality across the northern hemisphere: a retrospective data analysis

Author

Ziska, Lewis H, Makra, László, Harry, Susan K, Bruffaerts, Nicolas, Hendrickx, Marijke, Coates, Frances, Saarto, Annika, Thibaudon, Michel, Oliver, Gilles, Damialis, Athanasios, Charalampopoulos, Athanasios, Vokou, Despoina, Heiđmarsson, Starri, Guđjohnsen, Ellý, Bonini, Maira, Oh, Jae-Won, Sullivan, Krista, Ford, Linda, Brooks, G Daniel, Myszkowska, Dorota, Severova, Elena, Gehrig, Regula, Ramón, Germán Darío, Beggs, Paul J, Knowlton, Kim, and Crimmins, Allison R

Published
2019
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10. Co-exposure to highly allergenic airborne pollen and fungal spores in Europe

Author

Myszkowska, Dorota, primary, Bogawski, Paweł, additional, Piotrowicz, Katarzyna, additional, Bosiacka, Beata, additional, Grinn-Gofroń, Agnieszka, additional, Berger, Uwe E., additional, Bonini, Maira, additional, Ceriotti, Valentina, additional, Charalampopoulos, Athanasios, additional, Galán, Carmen, additional, Gedda, Björn, additional, Ianovici, Nicoleta, additional, Kloster, Mathilde, additional, Oliver, Gilles, additional, Pashley, Catherine H., additional, Pätsi, Sanna, additional, Pérez-Badia, Rosa, additional, Puc, Małgorzata, additional, Rodinkova, Victoria, additional, Skjøth, Carsten A., additional, Thibaudon, Michel, additional, Vokou, Despoina, additional, and Damialis, Athanasios, additional

Published
2023
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11. A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe

Author

Makra, László, primary, Matyasovszky, István, additional, Tusnády, Gábor, additional, Ziska, Lewis H., additional, Hess, Jeremy J., additional, Nyúl, László G., additional, Chapman, Daniel S., additional, Coviello, Luca, additional, Gobbi, Andrea, additional, Jurman, Giuseppe, additional, Furlanello, Cesare, additional, Brunato, Mauro, additional, Damialis, Athanasios, additional, Charalampopoulos, Athanasios, additional, Müller-Schärer, Heinz, additional, Schneider, Norbert, additional, Szabó, Bence, additional, Sümeghy, Zoltán, additional, Páldy, Anna, additional, Magyar, Donát, additional, Bergmann, Karl-Christian, additional, Deák, Áron József, additional, Mikó, Edit, additional, Thibaudon, Michel, additional, Oliver, Gilles, additional, Albertini, Roberto, additional, Bonini, Maira, additional, Šikoparija, Branko, additional, Radišić, Predrag, additional, Josipović, Mirjana Mitrović, additional, Gehrig, Regula, additional, Severova, Elena, additional, Shalaboda, Valentina, additional, Stjepanović, Barbara, additional, Ianovici, Nicoleta, additional, Berger, Uwe, additional, Seliger, Andreja Kofol, additional, Rybníček, Ondřej, additional, Myszkowska, Dorota, additional, Dąbrowska-Zapart, Katarzyna, additional, Majkowska-Wojciechowska, Barbara, additional, Weryszko-Chmielewska, Elzbieta, additional, Grewling, Łukasz, additional, Rapiejko, Piotr, additional, Malkiewicz, Malgorzata, additional, Šaulienė, Ingrida, additional, Prykhodo, Olexander, additional, Maleeva, Anna, additional, Rodinkova, Victoria, additional, Palamarchuk, Olena, additional, Ščevková, Jana, additional, and Bullock, James M., additional

Published
2023
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13. Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe

Author

Muller, Elodie, Dvořák, Miloň, Marçais, Benoit, Caeiro, Elsa, Clot, Bernard, Desprez-Loustau, Marie-Laure, Gedda, Björn, Lundén, Karl, Migliorini, Duccio, Oliver, Gilles, Ramos, Ana Paula, Rigling, Daniel, Rybníček, Ondřej, Santini, Alberto, Schneider, Salome, Stenlid, Jan, Tedeschini, Emma, Aguayo, Jaime, Gomez-Gallego, Mireia, Muller, Elodie, Dvořák, Miloň, Marçais, Benoit, Caeiro, Elsa, Clot, Bernard, Desprez-Loustau, Marie-Laure, Gedda, Björn, Lundén, Karl, Migliorini, Duccio, Oliver, Gilles, Ramos, Ana Paula, Rigling, Daniel, Rybníček, Ondřej, Santini, Alberto, Schneider, Salome, Stenlid, Jan, Tedeschini, Emma, Aguayo, Jaime, and Gomez-Gallego, Mireia

Abstract

The sooty bark disease (SBD) is an emerging disease affecting sycamore maple trees (Acer pseudoplatanus) in Europe. Cryptostroma corticale, the causal agent, putatively native to eastern North America, can be also pathogenic for humans causing pneumonitis. It was first detected in 1945 in Europe, with markedly increasing reports since 2000. Pathogen development appears to be linked to heat waves and drought episodes. Here, we analyse the conditions of the SBD emergence in Europe based on a three-decadal time-series data set. We also assess the suitability of aerobiological samples using a species-specific quantitative PCR assay to inform the epidemiology of C. corticale, through a regional study in France comparing two-year aerobiological and epidemiological data, and a continental study including 12 air samplers from six countries (Czechia, France, Italy, Portugal, Sweden and Switzerland). We found that an accumulated water deficit in spring and summer lower than -132 mm correlates with SBD outbreaks. Our results suggest that C. corticale is an efficient airborne pathogen which can disperse its conidia as far as 310 km from the site of the closest disease outbreak. Aerobiology of C. corticale followed the SBD distribution in Europe. Pathogen detection was high in countries within the host native area and with longer disease presence, such as France, Switzerland and Czech Republic, and sporadic in Italy, where the pathogen was reported just once. The pathogen was absent in samples from Portugal and Sweden, where the disease has not been reported yet. We conclude that aerobiological surveillance can inform the spatial distribution of the SBD, and contribute to early detection in pathogen-free countries.

Published
2023
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14. Co-exposure to highly allergenic airborne pollen and fungal spores in Europe

Author

Myszkowska, Dorota, Bogawski, Paweł, Piotrowicz, Katarzyna, Bosiacka, Beata, Grinn-Gofroń, Agnieszka, Berger, Uwe E., Bonini, Maira, Ceriotti, Valentina, Charalampopoulos, Athanasios, Galán, Carmen, Gedda, Björn, Ianovici, Nicoleta, Kloster, Mathilde, Oliver, Gilles, Pashley, Catherine H., Pätsi, Sanna, Pérez-Badia, Rosa, Puc, Małgorzata, Rodinkova, Victoria, Skjøth, Carsten A., Thibaudon, Michel, Vokou, Despoina, Damialis, Athanasios, Myszkowska, Dorota, Bogawski, Paweł, Piotrowicz, Katarzyna, Bosiacka, Beata, Grinn-Gofroń, Agnieszka, Berger, Uwe E., Bonini, Maira, Ceriotti, Valentina, Charalampopoulos, Athanasios, Galán, Carmen, Gedda, Björn, Ianovici, Nicoleta, Kloster, Mathilde, Oliver, Gilles, Pashley, Catherine H., Pätsi, Sanna, Pérez-Badia, Rosa, Puc, Małgorzata, Rodinkova, Victoria, Skjøth, Carsten A., Thibaudon, Michel, Vokou, Despoina, and Damialis, Athanasios

Abstract

The study is aimed at determining the potential spatiotemporal risk of the co-occurrence of airborne pollen and fungal spores high concentrations in different bio-climatic zones in Europe. Birch, grass, mugwort, ragweed, olive pollen and Alternaria and Cladosporium fungal spores were investigated at 16 sites in Europe, in 2005–2019. In Central and northern Europe, pollen and fungal spore seasons mainly overlap in June and July, while in South Europe, the highest pollen concentrations occur frequently outside of the spore seasons. In the coldest climate, no allergy thresholds were exceeded simultaneously by two spore or pollen taxa, while in the warmest climate most of the days with at least two pollen taxa exceeding threshold values were observed. The annual air temperature amplitude seems to be the main bioclimatic factor influencing the accumulation of days in which Alternaria and Cladosporium spores simultaneously exceed allergy thresholds. The phenomenon of co-occurrence of airborne allergen concentrations gets increasingly common in Europe and is proposed to be present on other continents, especially in temperate climate.

Published
2023
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15. A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe

Author

Makra, László, Matyasovszky, István, Tusnády, Gábor, Ziska, Lewis H., Hess, Jeremy J., Nyúl, László G., Chapman, Daniel S., Coviello, Luca, Gobbi, Andrea, Jurman, Giuseppe, Furlanello, Cesare, Brunato, Mauro, Damialis, Athanasios, Charalampopoulos, Athanasios, Müller-Schärer, Heinz, Schneider, Norbert, Szabó, Bence, Sümeghy, Zoltán, Páldy, Anna, Magyar, Donát, Bergmann, Karl-Christian, Deák, Áron József, Mikó, Edit, Thibaudon, Michel, Oliver, Gilles, Albertini, Roberto, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Josipović, Mirjana Mitrović, Gehrig, Regula, Severova, Elena, Shalaboda, Valentina, Stjepanović, Barbara, Ianovici, Nicoleta, Berger, Uwe, Seliger, Andreja Kofol, Rybníček, Ondřej, Myszkowska, Dorota, Dąbrowska-Zapart, Katarzyna, Majkowska-Wojciechowska, Barbara, Weryszko-Chmielewska, Elzbieta, Grewling, Łukasz, Rapiejko, Piotr, Malkiewicz, Malgorzata, Šaulienė, Ingrida, Prykhodo, Olexander, Maleeva, Anna, Rodinkova, Victoria, Palamarchuk, Olena, Ščevková, Jana, Bullock, James M., Makra, László, Matyasovszky, István, Tusnády, Gábor, Ziska, Lewis H., Hess, Jeremy J., Nyúl, László G., Chapman, Daniel S., Coviello, Luca, Gobbi, Andrea, Jurman, Giuseppe, Furlanello, Cesare, Brunato, Mauro, Damialis, Athanasios, Charalampopoulos, Athanasios, Müller-Schärer, Heinz, Schneider, Norbert, Szabó, Bence, Sümeghy, Zoltán, Páldy, Anna, Magyar, Donát, Bergmann, Karl-Christian, Deák, Áron József, Mikó, Edit, Thibaudon, Michel, Oliver, Gilles, Albertini, Roberto, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Josipović, Mirjana Mitrović, Gehrig, Regula, Severova, Elena, Shalaboda, Valentina, Stjepanović, Barbara, Ianovici, Nicoleta, Berger, Uwe, Seliger, Andreja Kofol, Rybníček, Ondřej, Myszkowska, Dorota, Dąbrowska-Zapart, Katarzyna, Majkowska-Wojciechowska, Barbara, Weryszko-Chmielewska, Elzbieta, Grewling, Łukasz, Rapiejko, Piotr, Malkiewicz, Malgorzata, Šaulienė, Ingrida, Prykhodo, Olexander, Maleeva, Anna, Rodinkova, Victoria, Palamarchuk, Olena, Ščevková, Jana, and Bullock, James M.

Abstract

Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant's reproductive and growth (phenological, pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions.

Published
2023

16. Supplementary material 1 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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17. Supplementary material 7 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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18. Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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19. Supplementary material 8 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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20. Supplementary material 5 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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21. Supplementary material 4 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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22. Supplementary material 2 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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23. Supplementary material 6 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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24. Supplementary material 3 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549

Author

Muller, Elodie, primary, Dvořák, Miloň, additional, Marçais, Benoit, additional, Caeiro, Elsa, additional, Clot, Bernard, additional, Desprez-Loustau, Marie-Laure, additional, Gedda, Björn, additional, Lundén, Karl, additional, Migliorini, Duccio, additional, Oliver, Gilles, additional, Ramos, Ana Paula, additional, Rigling, Daniel, additional, Rybníček, Ondřej, additional, Santini, Alberto, additional, Schneider, Salome, additional, Stenlid, Jan, additional, Tedeschini, Emma, additional, Aguayo, Jaime, additional, and Gomez-Gallego, Mireia, additional

Published
2023
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27. Automatic detection of airborne pollen: an overview

Author

Buters, Jeroen, primary, Clot, Bernard, additional, Galán, Carmen, additional, Gehrig, Regula, additional, Gilge, Stefan, additional, Hentges, François, additional, O’Connor, David, additional, Sikoparija, Branko, additional, Skjoth, Carsten, additional, Tummon, Fiona, additional, Adams-Groom, Beverley, additional, Antunes, Célia M., additional, Bruffaerts, Nicolas, additional, Çelenk, Sevcan, additional, Crouzy, Benoit, additional, Guillaud, Géraldine, additional, Hajkova, Lenka, additional, Seliger, Andreja Kofol, additional, Oliver, Gilles, additional, Ribeiro, Helena, additional, Rodinkova, Victoria, additional, Saarto, Annika, additional, Sauliene, Ingrida, additional, Sozinova, Olga, additional, and Stjepanovic, Barbara, additional

Published
2022
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31. Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe

Author

Damialis, Athanasios, Gilles, Stefanie, Sofiev, Mikhail, Sofieva, Viktoria, Kolek, Franziska, Bayr, Daniela, Plaza, Maria P., Leier-Wirtz, Vivien, Kaschuba, Sigrid, Ziska, Lewis H., Bielory, Leonard, Makra, László, del Mar Trigo, Maria, Traidl-Hoffmann, Claudia, Oliver, Gilles, Pham-Thi, Nhân, Thibaudon, Michel, Arino, Arturo H., Belmonte, Jordina, Cervigon Morales, Patricia, De Linares, Concepción, Fernández, Delia, Fernández-Rodriguez, Santiago, Gabaldón Arguisuelas, Antonia, Galán, Carmen, González-Alonso, Mónica, Lara, Beatriz, Moreno Grau, José María, Oteros, José, Pérez-Badia, Rosa, Pérez-De-Zabalza, Anabel, Picornell, Antonio, Recio, Marta, Robles, Estrella, Rodríguez-Fernández, Alberto, Rodríguez-Rajo, F. Javier, Rojo, Jesús, Ruiz Valenzuela, Luis, Bergmann, Karl Christian, Werchan, Barbora, Werchan, Matthias, Buters, Jeroen T.M., Bastl, Maximilian, Dunker, Susanne, Hornick, Thomas, González Roldán, Nestor, Gilge, Stefan, Clot, Bernard, Finemann, Stanley, Ford, Linda, Gomez, Robert Anthony, Kamboj, Sanjay, Wilhelm, Wayne, Beggs, Paul J., Burton, Pamela, Davies, Janet M., Haberle, Simon Graeme, Katelaris, Constance Helen, Keaney, Ben, Milic, Andelija, Miller, Victoria, van Haeften, Shanice, Bonini, Maira, Bordin, Anna, Ceriotti, Valentina, Cristofolini, Fabiana, Cristofori, Antonella, Gottardini, Elena, Marcer, Guido, Marraccini, Paolo, Mascagni, Paolo, Meriggi, Antonio, Pace, Loretta, Pini, Alberto, Tacca, Maria Cristina, Bruffaerts, Nicolas, Hoebeke, Lucie, Adams-Groom, Beverley, Pashley, Catherine H., Satchwell, Jack, Skjøth, Carsten, Symon, Fiona A., Antunes, Celia M., Caeiro, Elsa, Camacho, Irene Gomes Câmara, Costa, Ana R., Deus, Ricardo João Ratola Capela, Ferreira, Manuel Branco, Fonseca, Joao Almeida Lopes, Galveias, Ana, Ribeiro, Helena, Tavares, Beatriz, Grewling, Łukasz, Grinn-Gofroń, Agnieszka, Jurkiewicz, Dariusz, Kalinowska, Ewa, Lipiec, Agnieszka, Myszkowska, Dorota, Piotrowska-Weryszko, Krystyna, Puc, Malgorzata, Rapiejko, Anna, Rapiejko, Piotr, Weryszko-Chmielewska, Elzbieta, Ziemianin, Monika, Berman, Dilys, Hoek, Werner, Manjra, Ahmed Ismail, Peter, Jonathan, Dahl, Åslög, Ekebom, Agneta, Stjepanovic, Barbara, Večenaj, Ana, Celenk, Sevcan, Göksel, Özlem, Göksel, Tuncay, Guvensen, Aykut A., Munevver, Nur, Sackesen, Cansin, Acar Sahin, Aydar, Uguz, Ulas U., Yazici, Duygu, Kajtor-Apatini, Dóra, Magyar, Donat, Szigeti, Tamas, Sikoparija, Branko, Kofol Seliger, Andreja, Simčič, Anja, Charalampopoulos, Athanasios, Vokou, Despoina, Rasmussen, Karen, Barrionuevo, Laura Beatriz, Ramon, German Dario, de Weger, Letty A., Koenders, Mieke M.J.F., van Vliet, Arnold J.H., Dušička, Jozef, Lafférsová, Janka, Šèevkováč, Jana, Rybníček, Ondøej, Coates, Frances, Jurgens, Dawn, Šauliene, Ingrida, Severova, Elena, Rodinkova, Victoria, Bortnyk, Mykyta, Palamarchuk, Olena, Yasniuk, Maryna, Louna-Korteniemi, Maria, Pätsi, Sanna, Saarto, Annika, Toiviainen, Linnea, Sozinova, Olga, Jia, Peng, other, and, Damialis, Athanasios, Gilles, Stefanie, Sofiev, Mikhail, Sofieva, Viktoria, Kolek, Franziska, Bayr, Daniela, Plaza, Maria P., Leier-Wirtz, Vivien, Kaschuba, Sigrid, Ziska, Lewis H., Bielory, Leonard, Makra, László, del Mar Trigo, Maria, Traidl-Hoffmann, Claudia, Oliver, Gilles, Pham-Thi, Nhân, Thibaudon, Michel, Arino, Arturo H., Belmonte, Jordina, Cervigon Morales, Patricia, De Linares, Concepción, Fernández, Delia, Fernández-Rodriguez, Santiago, Gabaldón Arguisuelas, Antonia, Galán, Carmen, González-Alonso, Mónica, Lara, Beatriz, Moreno Grau, José María, Oteros, José, Pérez-Badia, Rosa, Pérez-De-Zabalza, Anabel, Picornell, Antonio, Recio, Marta, Robles, Estrella, Rodríguez-Fernández, Alberto, Rodríguez-Rajo, F. Javier, Rojo, Jesús, Ruiz Valenzuela, Luis, Bergmann, Karl Christian, Werchan, Barbora, Werchan, Matthias, Buters, Jeroen T.M., Bastl, Maximilian, Dunker, Susanne, Hornick, Thomas, González Roldán, Nestor, Gilge, Stefan, Clot, Bernard, Finemann, Stanley, Ford, Linda, Gomez, Robert Anthony, Kamboj, Sanjay, Wilhelm, Wayne, Beggs, Paul J., Burton, Pamela, Davies, Janet M., Haberle, Simon Graeme, Katelaris, Constance Helen, Keaney, Ben, Milic, Andelija, Miller, Victoria, van Haeften, Shanice, Bonini, Maira, Bordin, Anna, Ceriotti, Valentina, Cristofolini, Fabiana, Cristofori, Antonella, Gottardini, Elena, Marcer, Guido, Marraccini, Paolo, Mascagni, Paolo, Meriggi, Antonio, Pace, Loretta, Pini, Alberto, Tacca, Maria Cristina, Bruffaerts, Nicolas, Hoebeke, Lucie, Adams-Groom, Beverley, Pashley, Catherine H., Satchwell, Jack, Skjøth, Carsten, Symon, Fiona A., Antunes, Celia M., Caeiro, Elsa, Camacho, Irene Gomes Câmara, Costa, Ana R., Deus, Ricardo João Ratola Capela, Ferreira, Manuel Branco, Fonseca, Joao Almeida Lopes, Galveias, Ana, Ribeiro, Helena, Tavares, Beatriz, Grewling, Łukasz, Grinn-Gofroń, Agnieszka, Jurkiewicz, Dariusz, Kalinowska, Ewa, Lipiec, Agnieszka, Myszkowska, Dorota, Piotrowska-Weryszko, Krystyna, Puc, Malgorzata, Rapiejko, Anna, Rapiejko, Piotr, Weryszko-Chmielewska, Elzbieta, Ziemianin, Monika, Berman, Dilys, Hoek, Werner, Manjra, Ahmed Ismail, Peter, Jonathan, Dahl, Åslög, Ekebom, Agneta, Stjepanovic, Barbara, Večenaj, Ana, Celenk, Sevcan, Göksel, Özlem, Göksel, Tuncay, Guvensen, Aykut A., Munevver, Nur, Sackesen, Cansin, Acar Sahin, Aydar, Uguz, Ulas U., Yazici, Duygu, Kajtor-Apatini, Dóra, Magyar, Donat, Szigeti, Tamas, Sikoparija, Branko, Kofol Seliger, Andreja, Simčič, Anja, Charalampopoulos, Athanasios, Vokou, Despoina, Rasmussen, Karen, Barrionuevo, Laura Beatriz, Ramon, German Dario, de Weger, Letty A., Koenders, Mieke M.J.F., van Vliet, Arnold J.H., Dušička, Jozef, Lafférsová, Janka, Šèevkováč, Jana, Rybníček, Ondøej, Coates, Frances, Jurgens, Dawn, Šauliene, Ingrida, Severova, Elena, Rodinkova, Victoria, Bortnyk, Mykyta, Palamarchuk, Olena, Yasniuk, Maryna, Louna-Korteniemi, Maria, Pätsi, Sanna, Saarto, Annika, Toiviainen, Linnea, Sozinova, Olga, Jia, Peng, and other, and

Abstract

Pollen exposure weakens the immunity against certain seasonal respiratory viruses by diminishing the antiviral interferon response. Here we investigate whether the same applies to the pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is sensitive to antiviral interferons, if infection waves coincide with high airborne pollen concentrations. Our original hypothesis was that more airborne pollen would lead to increases in infection rates. To examine this, we performed a cross-sectional and longitudinal data analysis on SARS-CoV-2 infection, airborne pollen, and meteorological factors. Our dataset is the most comprehensive, largest possible worldwide from 130 stations, across 31 countries and five continents. To explicitly investigate the effects of social contact, we additionally considered population density of each study area, as well as lockdown effects, in all possible combinations: without any lockdown, with mixed lockdown−no lockdown regime, and under complete lockdown. We found that airborne pollen, sometimes in synergy with humidity and temperature, explained, on average, 44% of the infection rate variability. Infection rates increased after higher pollen concentrations most frequently during the four previous days. Without lockdown, an increase of pollen abundance by 100 pollen/m3 resulted in a 4% average increase of infection rates. Lockdown halved infection rates under similar pollen concentrations. As there can be no preventive measures against airborne pollen exposure, we suggest wide dissemination of pollen−virus coexposure dire effect information to encourage high-risk individuals to wear particle filter masks during high springtime pollen concentrations.

Published
2021

33. Personal exposure to PM 2.5 emitted from typical anthropogenic sources in southern West Africa: chemical characteristics and associated health risks

Author

Xu, Hongmei, Léon, Jean-François, Liousse, Cathy, Yoboué, Véronique, Akpo, Aristide Barthélémy, Adon, Jacques, Ho, Kin Fai, Ho, Steven Sai Hang, Li, Lijuan, Gardrat, Eric, Shen, Zhenxing, Cao, Junji, Kadaikar, Aysha, Trocan, Maria, Amiel, Frédéric, Conde-Cespedes, Patricia, Oliver, Gilles, Thibaudon, Michel, Sarda-Esteve, Roland, Baisnee, Dominique, Mari, Xavier, Guinot, Benjamin, Thuoc, Chu Van, Brune, Justine, Lefebvre, Jean-Pierre, Angia Sriram, Pradeep Ram, Raimbault, Patrick, Dittmar, Thorsten, Niggemann, Jutta, Huazhong Agriculture University, Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Laboratoire d'aérologie (LA), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de l’Atmosphère [Abidjan], Université Félix Houphouët-Boigny (UFHB), Institut Supérieur d'Electronique de Paris (ISEP), Département d'électonique, Institut Supérieur d'Electronique de Paris-ISEP, Réseau National de Surveillance Aérobiologique [Brussieu, France] (RNSA), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), UR 103 (IRD), Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA ), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'océanographie et de biogéochimie (LOB), Université de la Méditerranée - Aix-Marseille 2-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées

Subjects
[SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019
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35. Google Trends and pollen concentrations in allergy and airway diseases in France

Author

Bousquet, Jean, primary, Onorato, Gabrielle L., additional, Oliver, Gilles, additional, Basagana, Xavier, additional, Annesi‐Maesano, Isabella, additional, Arnavielhe, Sylvie, additional, Besancenot, Jean‐Pierre, additional, Bosse, Isabelle, additional, Bousquet, Philippe J., additional, André Charpin, Denis, additional, Caillaud, D., additional, Demoly, Pascal, additional, Devillier, Philippe, additional, Mathieu‐Dupas, Eve, additional, Fontaine, Jean‐François M., additional, Just, Jocelyne, additional, Anto, Josep M., additional, Fonseca, João, additional, Berger, Uwe, additional, and Thibaudon, Michel, additional

Published
2019
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36. Variability and Geographical Origin of Five Years Airborne Fungal Spore Concentrations Measured at Saclay, France from 2014 to 2018

Author

Sarda-Estève, Roland, primary, Baisnée, Dominique, additional, Guinot, Benjamin, additional, Sodeau, John, additional, O’Connor, David, additional, Belmonte, Jordina, additional, Besancenot, Jean-Pierre, additional, Petit, Jean-Eudes, additional, Thibaudon, Michel, additional, Oliver, Gilles, additional, Sindt, Charlotte, additional, and Gros, Valérie, additional

Published
2019
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37. Automatic Pollen Grains Counter

Author

Kadaikar, Aysha, primary, Guinot, Benjamin, additional, Trocan, Maria, additional, Amiel, Frederic, additional, Conde-Cespedes, Patricia, additional, Oliver, Gilles, additional, Thibaudon, Michel, additional, Sarda-Esteve, Roland, additional, and Baisnee, Dominique, additional

Published
2019
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38. Pollen limitation as a main driver of fruiting dynamics in oak populations

Author

Schermer, Éliane, primary, Bel‐Venner, Marie‐Claude, additional, Fouchet, David, additional, Siberchicot, Aurélie, additional, Boulanger, Vincent, additional, Caignard, Thomas, additional, Thibaudon, Michel, additional, Oliver, Gilles, additional, Nicolas, Manuel, additional, Gaillard, Jean‐Michel, additional, Delzon, Sylvain, additional, and Venner, Samuel, additional

Published
2018
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39. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014

Author

Alvaro Valdebenito, Julius Vira, Athanasios Damialis, J. Parmentier, Matthieu Plu, Roberto Albertini, Oliver Gilles, Carmen Galán, Kai Krajsek, Marje Prank, Lennart Robertson, Joaquim Arteta, Sevcan Celenk, Arjo Segers, Michel Thibaudon, Despoina Vokou, Jordina Belmonte, Mikhail Sofiev, Ivana Hrga, John Douros, Rostislav Kouznetsov, Hendrik Elbern, Olga Ritenberga, Barbara Stepanovich, Birthe Marie Steensen, Maira Bonini, and E. Friese

Subjects
Meteorological models, Series (stratigraphy), 010504 meteorology & atmospheric sciences, Ensemble averaging, Olive pollen, 010501 environmental sciences, 01 natural sciences, Weighting, Distribution (mathematics), Statistics, ddc:550, Statistical dispersion, Precipitation, 0105 earth and related environmental sciences, Mathematics
Abstract

A 6-models strong European ensemble of Copernicus Atmospheric Monitoring Service (CAMS) was run through the season of 2014 computing the olive pollen dispersion in Europe. The simulations have been compared with observations in 6 countries, members of the European Aeroallergen Network. Analysis was performed for individual models, the ensemble mean and median, and for a dynamically optimized combination of the ensemble members obtained via fusion of the model predictions with observations. The models, generally reproducing the olive season of 2014, showed noticeable deviations from both observations and each other. In particular, the season start was reported too early, by 8 days but for some models the error mounted to almost two weeks. For the season end, the disagreement between the models and the observations varied from a nearly perfect match up to two weeks too late. A series of sensitivity studies performed to understand the origin of the disagreements revealed crucial role of ambient temperature, especially systematic biases in its representation by meteorological models. A simple correction to the heat sum threshold eliminated the season shift but its validity in other years remains to be checked. The short-term features of the concentration time series were reproduced better suggesting that the precipitation events and cold/warm spells, as well as the large-scale transport were represented rather well. Ensemble averaging led to more robust results. The best skill scores were obtained with data fusion, which used the previous-days observations to identify the optimal weighting coefficients of the individual model forecasts. Such combinations were tested for the forecasting period up to 4 days and shown to remain nearly optimal throughout the whole period.

Published
2017
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41. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook

Author

Sofiev, Mikhail, primary, Ritenberga, Olga, additional, Albertini, Roberto, additional, Arteta, Joaquim, additional, Belmonte, Jordina, additional, Bernstein, Carmi Geller, additional, Bonini, Maira, additional, Celenk, Sevcan, additional, Damialis, Athanasios, additional, Douros, John, additional, Elbern, Hendrik, additional, Friese, Elmar, additional, Galan, Carmen, additional, Oliver, Gilles, additional, Hrga, Ivana, additional, Kouznetsov, Rostislav, additional, Krajsek, Kai, additional, Magyar, Donat, additional, Parmentier, Jonathan, additional, Plu, Matthieu, additional, Prank, Marje, additional, Robertson, Lennart, additional, Steensen, Birthe Marie, additional, Thibaudon, Michel, additional, Segers, Arjo, additional, Stepanovich, Barbara, additional, Valdebenito, Alvaro M., additional, Vira, Julius, additional, and Vokou, Despoina, additional

Published
2017
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42. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014 : current status and outlook

Author

Sofiev, Mikhail, Ritenberga, Olga, Albertini, Roberto, Arteta, Joaquim, Belmonte, Jordina, Bernstein, Carmi Geller, Bonini, Maira, Celenk, Sevcan, Damialis, Athanasios, Douros, John, Elbern, Hendrik, Friese, Elmar, Galan, Carmen, Oliver, Gilles, Hrga, Ivana, Kouznetsov, Rostislav, Krajsek, Kai, Magyar, Donat, Parmentier, Jonathan, Plu, Matthieu, Prank, Marje, Robertson, Lennart, Steensen, Birthe Marie, Thibaudon, Michel, Segers, Arjo, Stepanovich, Barbara, Valdebenito, Alvaro M., Vira, Julius, Vokou, Despoina, Sofiev, Mikhail, Ritenberga, Olga, Albertini, Roberto, Arteta, Joaquim, Belmonte, Jordina, Bernstein, Carmi Geller, Bonini, Maira, Celenk, Sevcan, Damialis, Athanasios, Douros, John, Elbern, Hendrik, Friese, Elmar, Galan, Carmen, Oliver, Gilles, Hrga, Ivana, Kouznetsov, Rostislav, Krajsek, Kai, Magyar, Donat, Parmentier, Jonathan, Plu, Matthieu, Prank, Marje, Robertson, Lennart, Steensen, Birthe Marie, Thibaudon, Michel, Segers, Arjo, Stepanovich, Barbara, Valdebenito, Alvaro M., Vira, Julius, and Vokou, Despoina

Published
2017
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44. Pollen limitation as a main driver of fruiting dynamics in oak populations.

Author

Schermer, Éliane, Bel‐Venner, Marie‐Claude, Fouchet, David, Siberchicot, Aurélie, Boulanger, Vincent, Caignard, Thomas, Thibaudon, Michel, Oliver, Gilles, Nicolas, Manuel, Gaillard, Jean‐Michel, Delzon, Sylvain, Venner, Samuel, and Chave, Jérôme

Subjects
POLLEN, FRUIT development, OAK, PLANT reproduction, PLANT ecology
Abstract

In many perennial wind‐pollinated plants, the dynamics of seed production is commonly known to be highly fluctuating from year to year and synchronised among individuals within populations. The proximate causes of such seeding dynamics, called masting, are still poorly understood in oak species that are widespread in the northern hemisphere, and whose fruiting dynamics dramatically impacts forest regeneration and biodiversity. Combining long‐term surveys of oak airborne pollen amount and acorn production over large‐scale field networks in temperate areas, and a mechanistic modelling approach, we found that the pollen dynamics is the key driver of oak masting. Mechanisms at play involved both internal resource allocation to pollen production synchronised among trees and spring weather conditions affecting the amount of airborne pollen available for reproduction. The sensitivity of airborne pollen to weather conditions might make oak masting and its ecological consequences highly sensitive to climate change. [ABSTRACT FROM AUTHOR]

Published
2019
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46. Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART

Author

Burki, Charlotte, Sikoparija, Branko, Thibaudon, Michel, Oliver, Gilles, Magyar, Donat, Udvardy, Orsolya, Leelossy, Adam, Charpilloz, Christophe, and Pauling, Andreas

Subjects
source inventory, model, Statistics::Applications, numerical pollen dispersion model cosmo-art, ambrosia pollen emission parameterization, Astrophysics::High Energy Astrophysical Phenomena, diurnal patterns, impact, dispersion, artificial neural networks, supervised learning, ragweed
Abstract

The emission parameterization is a crucial part of numerical pollen dispersion models. This paper shows that Artificial Neural Networks (ANNs) can substantially improve the performance of the Ambrosia pollen emission in numerical pollen dispersion models such as COSMO-ART. Based on simultaneous measurement of Ambrosia pollen concentrations and meteorological variables in the source area, ANNs were trained to predict the diurnal profile of pollen emission. Six different combinations of explanatory meteorological variables were trained with five different ANN configurations resulting in 30 candidate emission models. The best network configuration for each combination of explanatory variables were used as emission parameterization in the numerical pollen dispersion model COSMO-ART. In addition, two benchmarks were implemented: an emission parameterization based on sigmoid functions and an artificial neural network using only time as an explanatory variable. The Ambrosia pollen seasons of 2015 and 2016 were simulated using the two benchmarks and the six emission parameterizations. The modelled diurnal profile of emission fluxes at 15 different sites from Serbia, Hungary and France with strong local pollen sources were compared with observed concentrations. Artificial Neural Networks based emission parameterization substantially improved the performance of the Ambrosia pollen emission in COSMO-ART compared to the emission based on the sigmoid functions in all these three countries. However, a time-related explanatory variable must be used. This suggests that the ANN-based emission parameterizations can be used at distant locations as well. On the other hand, the use of meteorological related parameters did not increase the performance compared with the time-only benchmark.

47. Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe

Author

Claudia Traidl-Hoffmann, Mikhail Sofiev, Jonathan Peter, Elsa Caeiro, AYDAN ACAR ŞAHİN, Olga Sozinova, Agnieszka Lipiec, Jordina Belmonte, Beatriz Lara, Bernard Alain Clot, Mykyta Bortnyk, Rosa Pérez-Badia, Celia Antunes, Ana Galveias, Dorota Myszkowska, Annika Saarto, Maria P. Plaza, Barbora Werchan, Dariusz Jurkiewicz, Loretta Giuseppina PACE, Ana Rodrigues Costa, Monica González-Alonso, José Moreno, Thomas Hornick, Franziska Kolek, Elena Gottardini, Arnold Van Vliet, Branko Sikoparija, Arturo H. Ariño, Krystyna Piotrowska-Weryszko, Tamás Szigeti, Athanasios Damialis, Paul Beggs, Helena Ribeiro, Antonio Picornell Rodríguez, Beatriz Tavares, Andrzej Wieczorkiewicz, Ozlem GOKSEL, Victoria Rodinkova, Piotr Rapiejko, Ewa Kalinowska, Catherine Pashley, PAOLO MASCAGNI, Nicolas Bruffaerts, Anna Rapiejko, Stefanie Gilles-Stein, Oliver, Gilles, Pham-Thi, Nhân, Thibaudon, Michel, Arino, Arturo H., Belmonte, Jordina, Cervigon Morales, Patricia, De Linares, Concepción, Fernández, Delia, FernándezRodriguez, Santiago, Gabaldón Arguisuelas, Antonia, Galán, Carmen, González-Alonso, Mónica, Lara, Beatriz, Moreno Grau, José María, Oteros, Jose, Pérez-Badia, Rosa, Pérez-de-Zabalza, Anabel, Picornell, Antonio, Recio, Marta, Robles, Estrella, RodríguezFernández, Alberto, Rodríguez-Rajo, F. Javier, Rojo, Jesús, Ruiz Valenzuela, Luis, Karl-Christian, Bergmann, Werchan, Barbora, Werchan, Matthias, Buters, Jeroen T. M., Bastl, Maximilian, Dunker, Susanne, Hornick, Thomas, González Roldán, Nestor, Gilge, Stefan, Clot, Bernard, Finemann, Stanley, Ford, Linda, Gomez, Robert Anthony, Kamboj, Sanjay, Wilhelm, Wayne, Beggs, Paul J., Burton, Pamela, Davies, Janet M., Haberle, Simon Graeme, Katelaris, Constance Helen, Keaney, Ben, Milic, Andelija, Miller, Victoria, van Haeften, Shanice, Bonini, Maira, Bordin, Anna, Ceriotti, Valentina, Cristofolini, Fabiana, Cristofori, Antonella, Gottardini, Elena, Marcer, Guido, Marraccini, Paolo, Meriggi, Antonio, Mascagni, Paolo, Pace, Loretta, Tacca, Maria Cristina, Pini, Alberto, Bruffaerts, Nicolas, Hoebeke, Lucie, Adams-Groom, Beverley, Pashley, Catherine H., Satchwell, Jack, Skjøth, Carsten, Symon, Fiona A., Antunes, Celia M., Caeiro, Elsa, Camacho, Irene Gomes Câmara, Costa, Ana R., Deus, Ricardo João Ratola Capela, Ferreira, Manuel Branco, Fonseca, Joao Almeida Lopes, Galveias, Ana, Ribeiro, Helena, Tavares, Beatriz, Grewling, Łukasz, Grinn-Gofroń, Agnieszka, Jurkiewicz, Dariusz, Kalinowska, Ewa, Lipiec, Agnieszka, Myszkowska, Dorota, PiotrowskaWeryszko, Krystyna, Puc, Malgorzata, Rapiejko, Anna, Rapiejko, Piotr, WeryszkoChmielewska, Elżbieta, Ziemianin, Monika, Berman, Dilys, Hoek, Werner, Manjra, Ahmed Ismail, Peter, Jonathan, Dahl, Åslög, Ekebom, Agneta, Stjepanovic, Barbara, Večena, Ana, Celenk, Sevcan, Göksel, Özlem, Göksel, Tuncay, Guvensen, Aykut, Sackesen, Cansin, Pinar, Nur Munevver, Acar Sahin, Aydar, Uguz U, Ulas, Yazici, Duygu, Kajtor-Apatini, Dóra, Magyar, Donát, Szigeti, Tamás, Sikoparija, Branko, Kofol Seliger, Andreja, Simčič, Anja, Oh, Jae, Charalampopoulos, Athanasios, Vokou, Despoina, Rasmussen, Karen, Barrionuevo, Laura Beatriz, Ramon, German Dario, de Weger, Letty A., Koenders, Mieke M.J.F., van Vliet, Arnold J.H., Dušička, Jozef, Lafférsová, Janka, Ščevková, Jana, Coates, Frances, Jurgens, Dawn, Rybníček, Ondřej, Šaulienė, Ingrida, Traidl-Hoffmann, Claudia, Severova, Elena, Rodinkova, Victoria, Palamarchuk, Olena, Bortnyk, Mykyta, Yasniuk, Maryna, Louna-Korteniemi, Maria, Pätsi, Sanna, Saarto, Annika, Toiviainen, Linnea, Sozinova, Olga, and Jia, Peng

Subjects
0301 basic medicine, virus strain, Veterinary medicine, Internationality, retrospective study, environmental exposure, adverse event, Aerobiology, Settore BIO/03 - BOTANICA AMBIENTALE E APPLICATA, Q1, medicine.disease_cause, Population density, geography, lockdown, 0302 clinical medicine, environmental factor, COVID-19 | pollen | viral infection | aerobiology, COVID-19, Geography, Humans, Longitudinal Studies, Pollen, SARS-CoV-2, Covid-19, Viral Infection, 030212 general & internal medicine, airborne particle, Multidisciplinary, international cooperation, longitudinal study, food and beverages, particle size, Biological Sciences, ddc, virology, Milieusysteemanalyse, environmental temperature, epidemiology, medicine.medical_specialty, Social contact, Longitudinal data, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), meteorological phenomena, infection rate, pollen, viral infection, aerobiology, Article, 03 medical and health sciences, coronavirus disease 2019, geographic distribution, medicine, otorhinolaryngologic diseases, cross-sectional study, human, ddc:610, population density, WIMEK, nonhuman, Wear particle, infection prevention, Infection rate, Environmental Systems Analysis, 030104 developmental biology, Viral infection, time series analysis, physiology, Environmental Sciences
Abstract

Pollen exposure weakens the immunity against certain seasonal respiratory viruses by diminishing the antiviral interferon response. Here we investigate whether the same applies to the pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is sensitive to antiviral interferons, if infection waves coincide with high airborne pollen concentrations. Our original hypothesis was that more airborne pollen would lead to increases in infection rates. To examine this, we performed a cross-sectional and longitudinal data analysis on SARS-CoV-2 infection, airborne pollen, and meteorological factors. Our dataset is the most comprehensive, largest possible worldwide from 130 stations, across 31 countries and five continents. To explicitly investigate the effects of social contact, we additionally considered population density of each study area, as well as lockdown effects, in all possible combinations: without any lockdown, with mixed lockdown?no lockdown regime, and under complete lockdown. We found that airborne pollen, sometimes in synergy with humidity and temperature, explained, on average, 44% of the infection rate variability. Infection rates increased after higher pollen concentrations most frequently during the four previous days. Without lockdown, an increase of pollen abundance by 100 pollen/m3 resulted in a 4% average increase of infection rates. Lockdown halved infection rates under similar pollen concentrations. As there can be no preventive measures against airborne pollen exposure, we suggest wide dissemination of pollen?virus coexposure dire effect information to encourage high-risk individuals to wear particle filter masks during high springtime pollen concentrations. © 2021 National Academy of Sciences. All rights reserved., 1.1.1.2/VIAA/2/18/283; European Cooperation in Science and Technology, COST: CA18226; Academy of Finland, AKA: 318194, PS4A; Ministerio de Educación, Cultura y Deporte, MECD: FPU15/01668; Department of the Environment, Australian Government; Lietuvos Mokslo Taryba; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR: 451-03-68/2020-14/200358; European Social Fund, ESF: 09.3.3-LMT-K-712-01-0066; Helmholtz Association; Christine Kühne – Center for Allergy Research and Education, CK-CARE, ACKNOWLEDGMENTS. We thank Mr. Luis-Leopold Moelter and Mr. Mehmet Gökkaya for assistance in overall data curation. The study was partly implemented in the frame of the European Cooperation in Science and Technology (EU-COST) program, "New approaches in detection of pathogens and aeroallergens (ADOPT)," Grant CA18226 (EU Framework Program Horizon 2020). D.B. and C.T.-H. were supported by the Helmholtz Climate Initiative (HI-CAM), Mitigation and Adaptation. A.Ch. and D.V. were supported by the Municipality of Thessaloniki, Greece (Directorate for the Management of the Urban Environment, Department of Environment). This research has been partly supported by the European Social Fund (Project 09.3.3-LMT-K-712-01-0066) under grant agreement with the Research Council of Lithuania (LMTLT). The study was also partly conducted within the frame of the project of the European Community European Regional Development Fund (EC ERDF) and PostDoc Latvia (Grant 1.1.1.2/VIAA/2/18/283). M.S. acknowledges the Academy of Finland (Project PS4A, Grant 318194). We thank the Department of Health and Rehabilitation of Vinnytsia Regional Council, Ukraine, for providing the numbers of COVID-19 cases. A.H.A. acknowledges Angel Chaves and the Government of Navarra: Institute of Public and Labor Health of Navarra, within LIFE-IP NAdatpa-CC (LIFE16 IPC/ES/000001). A.P. was supported by a predoctoral grant financed by the Ministry of Education, Culture and Sports of Spain, in the Program for the Promotion of Talent and its Employability (Grant FPU15/01668). B.S. acknowledges the Ministry of Education, Science, and Technological Development of the Republic of Serbia (Grant 451-03-68/2020-14/200358). C.T.H. acknowledges the Christine Kühne–Center for Allergy Research and Education (CK-CARE), and The Initiative and Networking Fund of the Helmholtz Association (Immunology & Inflammation). We thank Jan Bumberger, Marcus Karsten, Paul Remmler, Jan C. Simon, and Regina Treudler for data provision and curation from Leipzig, Germany. We thank Claudia Langford Brown and Dana Flanders for statistical advice and scientific discussions. We thank Penelope Jones, Edith Bucher, Reyhan Gumusburun, Haydar Soydaner Karakus, Su Ozgur, and Asli Tetik Vardarli for data curation.

Published
2021

48. Forecasting daily total pollen concentrations on a global scale.

Author

Makra L, Coviello L, Gobbi A, Jurman G, Furlanello C, Brunato M, Ziska LH, Hess JJ, Damialis A, Garcia MPP, Tusnády G, Czibolya L, Ihász I, Deák ÁJ, Mikó E, Dorner Z, Harry SK, Bruffaerts N, Packeu A, Saarto A, Toiviainen L, Louna-Korteniemi M, Pätsi S, Thibaudon M, Oliver G, Charalampopoulos A, Vokou D, Przedpelska-Wasowicz EM, Guðjohnsen ER, Bonini M, Celenk S, Ozaslan C, Oh JW, Sullivan K, Ford L, Kelly M, Levetin E, Myszkowska D, Severova E, Gehrig R, Calderón-Ezquerro MDC, Guerra CG, Leiva-Guzmán MA, Ramón GD, Barrionuevo LB, Peter J, Berman D, Katelaris CH, Davies JM, Burton P, Beggs PJ, Vergamini SM, Valencia-Barrera RM, and Traidl-Hoffmann C

Subjects
Humans, Climate Change, Models, Theoretical, Environmental Monitoring methods, Pollen immunology, Allergens, Forecasting methods
Abstract

Background: There is evidence that global anthropogenic climate change may be impacting floral phenology and the temporal and spatial characteristics of aero-allergenic pollen. Given the extent of current and future climate uncertainty, there is a need to strengthen predictive pollen forecasts., Methods: The study aims to use CatBoost (CB) and deep learning (DL) models for predicting the daily total pollen concentration up to 14 days in advance for 23 cities, covering all five continents. The model includes the projected environmental parameters, recent concentrations (1, 2 and 4 weeks), and the past environmental explanatory variables, and their future values., Results: The best pollen forecasts include Mexico City (R 2 (DL_7) ≈ .7), and Santiago (R 2 (DL_7) ≈ .8) for the 7th forecast day, respectively; while the weakest pollen forecasts are made for Brisbane (R 2 (DL_7) ≈ .4) and Seoul (R 2 (DL_7) ≈ .1) for the 7th forecast day. The global order of the five most important environmental variables in determining the daily total pollen concentrations is, in decreasing order: the past daily total pollen concentration, future 2 m temperature, past 2 m temperature, past soil temperature in 28-100 cm depth, and past soil temperature in 0-7 cm depth. City-related clusters of the most similar distribution of feature importance values of the environmental variables only slightly change on consecutive forecast days for Caxias do Sul, Cape Town, Brisbane, and Mexico City, while they often change for Sydney, Santiago, and Busan., Conclusions: This new knowledge of the ecological relationships of the most remarkable variables importance for pollen forecast models according to clusters, cities and forecast days is important for developing and improving the accuracy of airborne pollen forecasts., (© 2024 European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)

Published
2024
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49. Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe.

Author

Kurganskiy A, Creer S, de Vere N, Griffith GW, Osborne NJ, Wheeler BW, McInnes RN, Clewlow Y, Barber A, Brennan GL, Hanlon HM, Hegarty M, Potter C, Rowney F, Adams-Groom B, Petch GM, Pashley CH, Satchwell J, de Weger LA, Rasmussen K, Oliver G, Sindt C, Bruffaerts N, and Skjøth CA

Abstract

Allergic rhinitis is an inflammation in the nose caused by overreaction of the immune system to allergens in the air. Managing allergic rhinitis symptoms is challenging and requires timely intervention. The following are major questions often posed by those with allergic rhinitis: How should I prepare for the forthcoming season? How will the season's severity develop over the years? No country yet provides clear guidance addressing these questions. We propose two previously unexplored approaches for forecasting the severity of the grass pollen season on the basis of statistical and mechanistic models. The results suggest annual severity is largely governed by preseasonal meteorological conditions. The mechanistic model suggests climate change will increase the season severity by up to 60%, in line with experimental chamber studies. These models can be used as forecasting tools for advising individuals with hay fever and health care professionals how to prepare for the grass pollen season., (Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)

Published
2021
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