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Application of Redundancy Analysis for Aerobiological Data

Sadyś, Magdalena, Strzelczak, A., Grinn-Gofroń, A. and Kennedy, Roy (2015) Application of Redundancy Analysis for Aerobiological Data. International Journal of Biometeorology, 59 (1). pp. 25-36. ISSN Print: 0020-7128 Online: 1432-1254

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Abstract

An aerobiological survey was conducted through five consecutive years (2006–2010) at Worcester (England).The concentration of 20 allergenic fungal spore types was measured using a 7-day volumetric spore trap. The relationship between investigated fungal spore genera and selected meteorological parameters (maximum, minimum, mean and dew point temperatures, rainfall, relative humidity, air pressure,wind direction) was examined using an ordination method(redundancy analysis) to determine which environmental factors favoured their most abundance in the air and whether it would be possible to detect similarities between different genera in their distribution pattern. Redundancy analysis provided additional information about the biology of the studied fungi through the results of the Spearman’s rank correlation. Application of the variance inflation factor in canonical correspondence analysis indicated which explanatory variables were auto-correlated and needed to be excluded from further analyses. Obtained information will be consequently implemented in the selection of factors that will be a foundation for forecasting models for allergenic fungal spores in the future.

Item Type: Article
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Originally deposited as National Pollen and Aerobiology Research Unit (NPARU)

Uncontrolled Keywords: RDA, fungal spores, meteorological parameters, aerobiology, species-environment relationship
Subjects: Q Science > Q Science (General)
Divisions: Academic Departments > Institute of Science and the Environment
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Depositing User: Sally Wall
Date Deposited: 06 Feb 2015 09:19
Last Modified: 04 Jan 2017 17:00
URI: https://eprints.worc.ac.uk/id/eprint/3560

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