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Elena Skvortsova

elena.skvortsova@uqat.ca

The biggest part of my life i spent in Russia, love to nature and want to protect it lead me to Saint-Petersburg State Forest Technical Academy. During my study I was interested in problem of sustainable forest management, so my diploma was a kind of economically justification of sustainability. My bachelor thesis was about evaluation of profitability of restoration the damaged forest areas. During my Master I visited Finland several times, met with Finish colleges, study their methods of forestry and forest harvesting, so I started to get interested in study foreign methods of forest management. In the end my master thesis was about impact of forest-grow conditions to harvesting cost.

New master project in Canada gives me a lot of opportunities for continuance my education, develop my knowledge and skills, research Quebec's culture and principles of scientific research and forest activities.

Formation académique

  • M.Sc.  Biologie, Université du Québec en Abitibi-Témiscamingue, Canada. 2011-current.
  • M.Sc. Forest management, Saint-Petersburg State Forest Technical Academy, Russia. 2009-2011
  • B.Sc. Management, Saint-Petersburg State Forest Technical Academy, Russia. 2005-2009

Characterisation, classification and modeling forest road network: Abitibi-Témiscamingue case study.

Forest roads management in Abitibi-Témiscamingue is an important and interesting problem for biology, ecology, forestry and economy sciences. The main problem is unknown the correspondence between the requirements for use forest road and its real capabilities. The possibility of using the forest road described and characterised by the forest road classification; nowadays even with the modern technologies and software roads can’t be classified exactly. One of the way to improve forest road classification is to develop and propose new spatial quantitative indicators (slope, curvature, road density, connection pattern) to identify their relations with the measured parameters (width, height of gravel) and forest road classes. Spatial indicators will be used to cartography and characterisation the road network, road cost dependent from the forest density could be useful for planning and forecasting

Secondly problem, forest is constantly changing: age, density, distribution, hence is also forced to change forest road network. Forest companies plan to develop roads in the direction of the move up to the location of forest ready for cutting. Year of road construction usually unknown, so only way to describe road network development over time is follow to harvesting activity over time.  Every year the number of nearby mature forest decreases, it leads to constantly road network development as deeply as possible into forest. Increasing the length of roads leads to increased costs for construction and rehabilitation of road networks. The increased density of roads does not always leads to a comparable increase in wood volume, usually it meaning lower profitability of suppliers. A clear relationship between the change in volume and an increase road network length over time can help to predict future profitability and access to forest.

The optimization and an improvement of quantitative classification (spatial explicit) of forest roads could help the forest planner to take into account the impact of forest road. Uniform forest road classification could help to improve planning, reduce cost and constraint environmental impact. Knowledge about possible consequences and dependences of road development over time could help to forecast future profitability.

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