Stochastic flowering phenology in Dactylis glomerata populations described by Markov chain modelling

نویسندگان

چکیده

Abstract Understanding the relationship between flowering patterns and pollen dispersal is important in climate change modelling, forecasting, forestry agriculture. Enhanced understanding of this connection can be gained through detailed spatial temporal observations on a population level, combined with modelling simulating dynamics. Species large distribution ranges, long seasons, high production naturally populations used to illustrate these Revealing species-specific demographic stochastic elements process will likely determining when release happen plants. Spatial dynamics eight Dactylis glomerata were collected over course two years determine high-resolution elements. Stochastic accounted for using Markov chain approaches order evaluate tiller-specific contribution overall Tiller-specific developmental evaluated three different RV matrix correlation coefficients. We found that development same all key phenological events differing only by few days seasons. Many tillers transitioned very quickly from non-flowering full flowering, replicated modelling. Our novel approach demonstrates identification quantification D. , an element many The develop models other grass species probably

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ژورنال

عنوان ژورنال: Aerobiologia

سال: 2021

ISSN: ['0393-5965', '1573-3025']

DOI: https://doi.org/10.1007/s10453-020-09685-1