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A statistical model for predicting the inter-annual variability of birch pollen abundance in Northern and North-Eastern Europe.
Ritenberga, Olga; Sofiev, Mikhail; Siljamo, Pilvi; Saarto, Annika; Dahl, Aslog; Ekebom, Agneta; Sauliene, Ingrida; Shalaboda, Valentina; Severova, Elena; Hoebeke, Lucie; Ramfjord, Hallvard.
Afiliación
  • Ritenberga O; University of Latvia Faculty of Geography and Earth Sciences, Rainis bvld 19, Riga, LV -1586, Latvia. Electronic address: olga.ritenberga@lu.lv.
  • Sofiev M; Finnish Meteorological Institute, Erik Palmenin aukio 1, 00560 Helsinki, Finland. Electronic address: mikhail.sofiev@fmi.fi.
  • Siljamo P; Finnish Meteorological Institute, Erik Palmenin aukio 1, 00560 Helsinki, Finland. Electronic address: pilvi.siljamo@fmi.fi.
  • Saarto A; Unit of Aerobiology, University of Turku, Finland. Electronic address: annika.saarto@utu.fi.
  • Dahl A; Department of Biological and Environmental Sciences, University of Gothenburg, Sweden. Electronic address: aslog.dahl@bioenv.gu.se.
  • Ekebom A; Palynological Laboratory, Swedish Museum of Natural History, Stockholm, Sweden. Electronic address: agneta.ekebom@nrm.se.
  • Sauliene I; Research Institute, Siauliai University, Siauliai, Lithuania. Electronic address: ingrida.sauliene@su.lt.
  • Shalaboda V; Institute for Experimental Botany of the NAS of Belarus, Minsk, Belarus. Electronic address: shalaboda_valya@mail.ru.
  • Severova E; Moscow State University, Moscow, Russian. Electronic address: elena.severova@mail.ru.
  • Hoebeke L; Belgian Aerobiological Network, Mycology and Aerobiology service, Scientific Institute of Public Health, Brussels, Belgium. Electronic address: lucie.hoebeke@wiv-isp.be.
  • Ramfjord H; Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway. Electronic address: hallvard.ramfjord@ntnu.no.
Sci Total Environ ; 615: 228-239, 2018 Feb 15.
Article en En | MEDLINE | ID: mdl-28972900
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Polen / Estaciones del Año / Modelos Estadísticos / Betula Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia / Europa Idioma: En Revista: Sci Total Environ Año: 2018 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Polen / Estaciones del Año / Modelos Estadísticos / Betula Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia / Europa Idioma: En Revista: Sci Total Environ Año: 2018 Tipo del documento: Article