All achievements
A unique technology to monitor the condition and assess the ecosystem services of tree planting in real time and at the tree level were developed
- real-time monitoring of 5 tree condition parameters
- data transfer to the server for subsequent processing (conversion of condition indicators into ecosystem services)
- data display on a map
A series of devices for remote real-time tree-level monitoring of the physiological condition and vertical stability of tree planting (TT, TT-G, TT-R) were developed
Approaches to spatial analysis and modeling of carbon stocks in urban soils at various levels of spatial organization were developed
- modeling soil carbon stocks as a function of spatial predictor factors: topography, climate, functional zoning
- producing digital maps of carbon stocks in urban soils, which are necessary for assessing urban ecosystems as part of achieving carbon neutrality goals
Models and digital maps of organic carbon stocks and microbiological activity of soils in the Moscow Region, Murmansk, Kursk, and Rostov-on-Don were created
Solutions were proposed for the climate agenda and monitoring/assessing the quality of urban soils
- predictive estimates of carbon stock dynamics in the Moscow Region soils for various urbanization scenarios were obtained
- land use change estimates for New Moscow and associated changes in soil properties and functions were obtained for the first time
- long-term monitoring series of greenhouse gas emissions from soils of natural and anthropogenic ecosystems in European Russia were obtained
Technologies for assessing the quality of urban soils based on microbiological activity data, including carbon availability assessment and hydrolytic enzyme activity, were significantly improved
- new indicators reflecting the functional state of the soil microbiome were added. They more objectively reflect the ecological state of soils compared to traditional chemical indicator
An integrated approach was developed. It combines digital soil mapping and mesoclimatic modeling to predict the impact of mesoclimatic anomalies on greenhouse gas emissions from urban soils
An interdisciplinary approach to assessing urban green infrastructure cultural services based on social media data and machine learning algorithms was developed
- combining social media data (geotagged photos), open spatial data (Open Street Map, satellites), crowd mapping and sociological surveys to develop automated algorithms for assessing cultural and educational ecosystem services
The following is developed
- approaches and technologies for the restoration and sustainable development of anthropogenically altered ecosystems, including bioremediation technologies and nature-based solutions
- regulations and best practices for designing, creating and maintaining green space
- technologies: soil engineering technologies; bioremediation technologies for contaminated areas; technologies for environmental monitoring of urban and man-made ecosystem state and sustainability.