Laboratory of Agroecological Monitoring, Modeling, and Prognostication of Ecosystems
This laboratory was established as part of a scientific research project supported with a monetary grant awarded by the Government of the Russian Federation under a grant competition designed to provide governmental support to scientific research projects implemented under the supervision of the world's leading scientists at Russian institutions of higher learning (Resolution of the RF Government No.220 of April 9, 2010).
Grant Agreement No.: 11.G34.31.0079
Name of the institution of higher learning:
Federal state budget educational institution of higher professional learning "Russian State Agrarian University named after K. A. Timiryazev"
Fields of scientific research:
Agricultural ecology, climate change, carbon cycles, soil ecology, system analysis and modeling of ecosystems.
To form a framework system of algorithms and parameters required to assess the functional quality and ecological condition of soils and elementary structures of the topsoil of a zonal range of key areas of natural, agricultural, and urban ecosystems, including resource and restrictive quality indicators of their composition, structure, and functioning, zonal-provincial differentiation of the basal scales of their evaluation, quantitative analysis of the quality of soils and other basic components of the investigated ecosystems with different level of anthropogenic impact.
Key project objectives:
To monitor, assess, and model the sustainability of woodland, agricultural, and urban ecosystems. An innovative criterion and index development approach based on analysis of ecological functions and services is used to research, develop, and exercise control over sustainability of ecosystems.
Anticipated scientific outcomes:
1. The project will help establish a laboratory of agroecological monitoring and prognostication of ecosystems at the Russian State Agrarian University named after K. A. Timiryazev.
2. The project will help create conditions required to analyze split-level ecosystems using microbiological, chemical, field, and geo-statistical methods and remote sensing data.
Leading scientist's full name: Riccardo Valentini
Academic degrees and titles:
Doctor of sciences, professor
Tuscia University, Viterbo, Italy; professor of woodland ecology and sustainable development
Areas of scientific interest:
- Norbert Gerbier-Mumm International award (2004)
- Nobel Peace Prize (2007)
- Award of the European Research Council Senior Advanced Grant (2009).