Maria Antonia Serge
Pollen-based quantitative reconstructions of past natural and anthropogenic landscape openness in five European field laboratories
MSc Natural Sciences (University of Milano) 2018.
BSc Natural Sciences (University of Milano) 2015.
Host University: University Toulouse Jean Jaurés, (France)
Primary Supervisor: Florence Mazier
Country of Origin: Italy
I’m Maria Antonia Serge, I was born in Milan (Italy), and I live in Trentino a region in the north of Italy. I love mountains, and mountain-based sports, such as climbing, trekking, ski mountaineering. I really like music, and I play the piano. I also really like cooking. I have parents I’m very close to and a wonderful cat. I have a deep attachment to nature, which has always guided me. I obtained a master’s degree in Natural Science in 2018 at the University of Milano, Faculty of Mathematical, Physical and Natural Sciences. The title of my thesis is: Building up a pollen-vegetation-climate-environment training set from Gran Canaria as a tool for palaeoenvironment and palaeoclimate reconstructions. The thesis (numerical analysis) has been elaborated at the Laboratory of Palynology and Palaeoecology of CNR-IDPA, Milan (Italy). The Lombard Institute Academy of Sciences and Letters, on the proposal of a special Judging Committee, conferred the award "Fondazione Grazioli 2018 Prize" on my thesis. The thesis has been presented with a poster at 10th EPPC in Dublin (August 2018), session 27 - Work vertically, think 3-dimensionally: palaeoecology in topographically complex mountain settings.
My doctoral project begins October 1, 2019, at the University of Tolouse Jean Jaures, at the GEODE’s Laboratory, supervised by Dott. Florence Mazier. The thesis project is mainly concerned with the floristic diversity of vascular plants (species, genera or families) and landscape units (ie broadleaves, conifers, crops, meadows...) and is based on a retro-observation of landscapes based on a resolutely interdisciplinary approach associating paleoecology, vegetation modelling and geography.
Based on pollen data, the aim is to reconstruct European land cover that will help to understand the degree of openness and exploitation of the landscape between and during energy transitions, for continuous 250-year time windows from 11500 cal BP to today. Using new modelling approaches (Landscape Reconstruction Algorithm - LRA 6.7), the algorithm combines two REVEALS and LOVE.
Contact Email: email@example.com
Languages: Italian, English
SERGE M.A., RAVAZZI C., FURLANETTO G., GAROZZO L., VALLÈ F., DE NASCIMENTO L., NARANJO-CIGALA A., DAINA P., VALOTI F., FERNÁNDEZ-PALACIOS J.-M. (2018). Building up a pollen- vegetation-climate-environment training set from Gran Canaria as a tool for palaeoenvironment and palaeoclimate reconstructions. 10th EPPC, session 27 - Work vertically, think 3-dimensionally: palaeoecology in topographically complex mountain settings.
SERGE M.A, FURLANETTO G., RAVAZZI C., BADINO F., BRUNETTI M., CHAMPVILLAIR E., MAGGI V. (2018). Developing altitudinal training sets of pollen rain-site specific temperatures in the Alps as a base for paleoclimate reconstructions of high-altitude fossil records. 10th EPPC, session 27 - Work vertically, think 3- dimensionally: palaeoecology in topographically complex mountain settings.