Abstract
Technological progress in modern scientific development generates opportunities that create new ways to learn more about objects and systems of nature. An important indicator in choosing research methods is not only accuracy but also the time and human resources required to achieve results. This research demonstrates the possibilities of using an automatic particle detector that works based on scattered light pattern and laser-induced fluorescence for plant biodiversity investigation. Airborne pollen data were collected by two different devices, and results were analysed in light of the application for plant biodiversity observation. This paper explained the possibility to gain knowledge with a new type of method that would enable biodiversity monitoring programs to be extended to include information on the diversity of airborne particles of biological origin. It was revealed that plant conservation could be complemented by new tools to test the effectiveness of management plans and optimise mitigation measures to reduce impacts on biodiversity.
Highlights
Studies on the botanical diversity of plants, the restoration of the floristic richness of a certain territory, are closely related to the pollen data (Reitalu et al, 2019)
Evaluating the associations between the data on airborne pollen concentrations collected by two different methods, it was found that the dynamic is similar when higher pollen concentration was recorded by the Hirst-type volumetric method
We demonstrated the ability of laser spectroscopy based automatic particle detectors to appear in identification of pollen from airborne biological origin particles (Figure 1 and Figure 2)
Summary
Studies on the botanical diversity of plants, the restoration of the floristic richness of a certain territory, are closely related to the pollen data (Reitalu et al, 2019). The reconstruction and the analysis of past vegetation composition can be enhanced by studying current pollen samples and contemporary vegetation (Felde et al, 2014). The use of airborne pollen data in the analysis of plant ecology (Sharma and Khanduri, 2007), biogeography (Mercuri, 2015) or in studies of phenological phase shift indicators (Veriankaitė et al, 2010; Tormo et al, 2011; Cunha et al, 2015; Simón et al, 2018) became more intense. The perspective role of airborne pollen monitoring in providing relevant data for the protection of plants and its potential applications to the management of plant diversity can be very
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