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Ratajczak, E.

Publications and source records attributed to Ratajczak, E..

2 recordsLinked to original sources

Beyond seed counts: divergent climatic windows shape seed mass and viability in European beech

Mast seeding research has documented climate-driven changes in seed quantity, but tells us little about whether the seeds being counted are physiologically capable of germinating. The widespread practice of treating filled seeds as viable seeds has rarely been tested at scales adequate to detect divergent responses. Using a nationwide, 20-year dataset of 13,349 European beech (Fagus sylvatica L.) seed lots subjected to laboratory viability testing, we show that among filled seeds, mass and viability are only weakly correlated (Spearmans {rho} = 0.15) and respond to entirely different seasonal climatic windows. Viability tracked previous summer and harvest-year spring temperatures, while mass tracked neither yet declined markedly between 2009 and 2019, most steeply at northern latitudes. Pre-harvest climate also left lasting legacy effects on viability during storage. Together, these results reveal two independent dimensions of reproductive quality eroding under contemporary environmental change, invisible to count- or mass-based monitoring.

plant biology↗

Art's Hidden Topology: A window into human perception

Generations of researchers have sought a link between features of an artistic image and the audiences experience. However, a direct link between the properties of an image and the responses evoked has still not been established. Given the importance of shape to human perception and artistic creation, it can be assumed that one of the most important aspects of an artistic image is the use of different visual structures. We show that a method from the field of computational topology, persistent homology, can be used to analyse properties of image structures and composition at multiple scales. In order to determine the reliability of this method as a tool for analysing visual artworks, we analysed two different sets of abstract paintings that revealed significant discrepancies in the eye tracking and electroencephalography (EEG) activity of viewers. Our research showed that our newly developed method using persistent homology, not only clearly distinguished between two sets of images, which was not possible with common statistical image properties, but also allowed us to map topological features onto gaze fixation heat maps.

neuroscience↗