Published May 2019 | Version v1
Journal article

Oak pollen seasonality and severity across Europe and modelling the season start using a generalized phenological model

  • 1. National Pollen and Aerobiological Research Unit, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ (United Kingdom)
  • 2. Institute for Lung Health, Department of Infection, Immunity & Inflammation, University of Leicester, Leicester (United Kingdom)
  • 3. University of Gothenburg, Department of Biological and Environmental Sciences, P.O. Box 461, 405 30 Gothenburg (Sweden)
  • 4. Astma-Allergi Danmark, Universitetsparken 4, 4000 Roskilde (Denmark)
  • 5. Department of Pulmonology, Leiden University Medical Center, P.O. Box 9600, 2300RC Leiden, the (Netherlands)
  • 6. Reseau National de Surveillance Aerobiologique (R.N.S.A.), 11 chemin de la creuzille, Le Plat du Pin – 69690 Brussieu (France)
  • 7. Department of Construction, School of Technology, University of Extremadura, Avda. de la Universidad s/n, Cáceres (Spain)

Description

Highlights: • Atmosphere significantly polluted by oak pollen at several sites across Europe • Seasons can last up to 2 months due to several oak species dominating the landscape. • Evaluating several definition methods was important to capture local pollen start. • 76% of the modelled pollen starts occurred within 4 days or less of observed starts. • A general model can estimate pollen season onset in areas lacking monitoring. -- Abstract: Oak pollen seasons are relatively unexplored in large parts of Europe despite producing allergens and being a common tree in both continental and northern parts. Many studies are concentrated only on the Iberian Peninsula. In this study, the seasonal pattern of oak pollen in Europe was analysed using 10 observation sites, ranging from Spain to Sweden. The magnitude of peaks and annual pollen integral together with season-length were studied and substantially higher pollen levels and longer seasons were found in Spain. Two northern sites in Denmark and Sweden showed high oak pollen peaks together with two sites in Spain and United Kingdom. The study also tested four common definitions of season start and applied a generalized phenological model for computing the start of the pollen season. The most accurate definition for a European-wide description of the observed oak pollen start was when the cumulative daily average pollen count reached 50 grains per cubic meter. For the modelling of the start a thermal time method based on Growing Degree Day (GDD) was implemented, utilizing daily temperatures and a generalized approach to identify model parameters applicable to all included sites. GDD values varied between sites and generally followed a decreasing gradient from south to north, with some exceptions. Modelled onsets with base temperatures below 7 °C matched well with observed onsets and 76% of the predictions differed ≤4 days compared to observed onsets when using a base temperature of 2 °C. Base temperatures above 7 °C frequently predicted onsets differing >1 week from the observed. This general approach can be extended to a larger area where pollen observations are non-existent. The presented work will increase the understanding of oak pollen variation in Europe and provide knowledge of its phenology, which is a critical aspect both for modelling purposes on large-scale and assessing the human exposure to oak allergens.

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2019.01.212;
PII
S0048969719302451;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
663
Journal Page Range
p. 527-536
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55060505
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
COMPUTERIZED SIMULATION; DEGREE DAYS; OAKS; PHENOLOGY; POLLEN; SEASONS
Descriptors DEC
GAMETES; GERM CELLS; MAGNOLIOPHYTA; MAGNOLIOPSIDA; PLANTS; SIMULATION; TREES; UNITS

Optional Information

Copyright
Copyright (c) 2019 The Authors. Published by Elsevier B.V.