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The reconstitution of the late holocene paleofire vegetation in romania



Par Ancuta Petras (phD student, Université Stefan Cel Mare, Suceava, Roumanie)


Although our understanding of key drivers of fire activity (climate, vegetation and humans) has improved, considerable uncertainty remains regarding the relative importance of these drivers and how they vary across spatial and temporal scales. It is envisaged to carry out a study on the paleofire vegetation and paleoenvironments in a Romanian region by analyzing the physical and geochemical properties of peatlands, as well as assessing their environmental impact from the last approx. 5000 years (The Late Holocene). Little is known about how he influenced the surrounding fire of the past. Global warming in the near future is expected to increase the activity of natural fires in Romania. Therefore, it is very necessary to know the evolution of their past, so that we can anticipate the future impact of the intensification of natural vegetation fires. In this way, it is intended to use carbonated vegetal fragments for the reconstruction of paleofire vegetation in northern Transylvania during the Holocene. Comparing the charcoal and the physical-chemical properties of Taul Rosia’s peatlands, we propose to reconstitute the occurrence and frequency of vegetation fires in the study area, Carpates area with protected forests. For charcoal, it is possible to determine exactly the proportion of atmospheric deposition and whether there are differences in the size and morphology of charcoal due to the difference between the two types of deposit. Correlation of the paleoenvironmental data to be obtained for the analyzed region with the results already obtained. This work is linking with 2 research projects called ForetExil and Safe Nature (2017-2019) funded by the CNRS with Dynafor participation. It propose a diachronic and an interdisciplinary diagnostic of forests to implement predictive models and to help policies of local governance to protect and to use them in a sustainable manner. The long-term reconstruction of forest dynamics and land uses

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