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Collection and Identification of Pollen from Honey Bee Colonies

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Concentric Ring Method for generating pollen maps. Quercus as case study.

Jose Oteros¹, Rosa Mª Valencia², Sara Del Río²

¹Center of Allergy & Environment (ZAUM), Helmholtz Zentrum München, Technische Universitat München, Germany.

The Science of the Total Environment

|November 5, 2016

Summary

This summary is machine-generated.

This study predicts annual oak (Quercus) pollen in Spain using a new method. It found that shrubland and "dehesa" landscapes are most correlated with airborne pollen levels.

Keywords:

Aerobiology Concentric Ring Method Geostatistics Map Pollen index Quercus

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Area of Science:

Environmental Science
Ecology
Aerobiology

Background:

Airborne pollen mapping is crucial for health, ecology, forestry, and agriculture.
Understanding factors influencing pollen dynamics is essential for accurate predictions.

Purpose of the Study:

To predict annual Quercus pollen concentrations in the Castilla and León region, Spain.
To investigate the relationship between airborne pollen and landscape features.

Main Methods:

Collected Quercus and Quercus pyrenaica pollen data from 13 sites over 8 years.
Utilized a developed Concentric Ring Method (CRM) to analyze pollen and land use data.
Examined correlations between pollen types and vegetation distribution.

Main Results:

Maximum correlation between Quercus pollen and vegetation was found with shrubland and "dehesa" areas.
For Quercus pyrenaica, maximum emission source influence was observed at 14km, with correlations extending to 43km.
Local landscape features significantly explain pollen dispersion patterns, beyond meteorological factors.

Conclusions:

The developed CRM is a powerful tool for multi-source pollen mapping based on land use.
Local land cover significantly impacts airborne pollen distribution and dynamics.
This approach aids in understanding and predicting pollen patterns for various applications.