NDLI: Analysis of the predicting variables for daily and weekly fluctuations of two airborne fungal spores: Alternaria and Cladosporium

Content Provider	Springer Nature Link
Author	Recio, Marta Trigo, María Docampo, Silvia Melgar, Marta García Sánchez, José Bootello, Lourdes Cabezudo, Baltasar
Copyright Year	2011
Abstract	Alternaria and Cladosporium are two fungal taxa whose spores (conidia) are included frequently in aerobiological studies of outdoor environments. Both spore types are present in the atmosphere of Malaga (Spain) throughout almost the entire year, although they reach their highest concentrations during spring and autumn. To establish predicting variables for daily and weekly fluctuations, Spearman’s correlations and stepwise multiple regressions between spore concentrations (measured using a volumetric 7-day recorder) and meteorological variables were made with results obtained for both spore types in 1996 and 1997. Correlations and regressions were also made between the different taxa and their concentrations in different years. Significant and positive correlation coefficients were always obtained between spore concentrations of both taxa, followed by temperature, their concentrations in different years, sunshine hours and relative humidity (this last in a negative sense). For the two spore types we obtained higher correlation and regression coefficients using weekly data. We showed different regression models using weekly values. From the results and a practical point of view, it was concluded that weekly values of the atmospheric concentration of Alternaria spores can be predicted from the maximum temperature expected and its concentrations in the years sampled. As regards the atmospheric concentration of Cladoposrium spores, the weekly values can be predicted based on the concentration of Alternaria spores, thus saving the time and effort that would otherwise be employed in counting them by optical microscopy.
Starting Page	983
Ending Page	991
Page Count	9
File Format	PDF
ISSN	00207128
Journal	International Journal of Biometeorology
Volume Number	56
Issue Number	6
e-ISSN	14321254
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-11-17
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fungal spores Alternaria Cladosporium Aerobiology Predicting variable Environment Meteorology/Climatology Environmental Health Plant Physiology Animal Physiology Biophysics and Biological Physics
Content Type	Text
Resource Type	Article
Subject	Ecology Health, Toxicology and Mutagenesis Atmospheric Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Airborne fungal spores of Alternaria, meteorological parameters and predicting variables

Analysis of the predicting variables for daily and weekly fluctuations of two airborne fungal spores: Alternaria and Cladosporium.

Changes in concentration of Alternaria and Cladosporium spores during summer storms

Application of redundancy analysis for aerobiological data

Spatial and temporal distribution of Alternaria spores in the Iberian Peninsula atmosphere, and meteorological relationships: 1993–2009

Changes in concentration of Alternaria and Cladosporium spores during summer storms

Effects of meteorological factors on the levels of Alternaria spores on a potato crop

Biometeorological and autoregressive indices for predicting olive pollen intensity

Airborne fungal spores of Alternaria, meteorological parameters and predicting variables.

Analysis of the predicting variables for daily and weekly fluctuations of two airborne fungal spores: Alternaria and Cladosporium

Similar Documents

Airborne fungal spores of Alternaria, meteorological parameters and predicting variables

Analysis of the predicting variables for daily and weekly fluctuations of two airborne fungal spores: Alternaria and Cladosporium.

Changes in concentration of Alternaria and Cladosporium spores during summer storms

Application of redundancy analysis for aerobiological data

Spatial and temporal distribution of Alternaria spores in the Iberian Peninsula atmosphere, and meteorological relationships: 1993–2009

Changes in concentration of Alternaria and Cladosporium spores during summer storms

Effects of meteorological factors on the levels of Alternaria spores on a potato crop

Biometeorological and autoregressive indices for predicting olive pollen intensity

Airborne fungal spores of Alternaria, meteorological parameters and predicting variables.

Analysis of the predicting variables for daily and weekly fluctuations of two airborne fungal spores: Alternaria and Cladosporium