Presentation is loading. Please wait.

Presentation is loading. Please wait.

EU INTAS-2001-0633 SILVICS Project Pushchino Research Centre of the Russian Academy of Sciences Institute of Mathematical Problems in Biology (Pushchino.

Similar presentations


Presentation on theme: "EU INTAS-2001-0633 SILVICS Project Pushchino Research Centre of the Russian Academy of Sciences Institute of Mathematical Problems in Biology (Pushchino."— Presentation transcript:

1 EU INTAS SILVICS Project Pushchino Research Centre of the Russian Academy of Sciences Institute of Mathematical Problems in Biology (Pushchino 2 Team) St. Petersburg April 2005

2 List of tasks Task 1.3. Quantification of selected criteria and indicators for sustainability and for biodiversity, for inclusion in silvicultural models. Task 2.2. Links between modelling of stand structure development and criteria and indicators for biodiversity. Task 2.3. Analysis of simulations of biodiversity, and comparison of models at landscape scale Task 3.1. Application of models to case studies. Task 3.2. Exploratory interactive analysis of spatio-temporal data. Task 4.3. Comparison of results with other (EU) projects Task 5.3. Compilation of reports, scientific publications

3 Main results An algorithm to calculate dynamics of ground vegetation diversity at the level of forest stand FTBA (Forest Type for Biodiversity Assessment) Forest Inventory Data and forest simulated results BioCalc software together with Pushchino 1 Team Analysis of simulations of biodiversity for a case study together with analysis of spatio-temporal data at landscape scale A soft multilevel system of functional species groups (ecological- coenotic groups) Database on vegetation sample plots to customize dynamic biodiversity assessment

4 Main results An algorithm to calculate dynamics of ground vegetation diversity at the level of forest stand FTBA (Forest Type for Biodiversity Assessment) Forest Inventory Data and forest simulated results BioCalc software together with Pushchino 1 Team Analysis of simulations of biodiversity for a case study together with analysis of spatio-temporal data at landscape scale A soft multilevel system of functional species groups (ecological- coenotic groups) Database on vegetation sample plots to customize dynamic biodiversity assessment

5 Main results An algorithm to calculate dynamics of ground vegetation diversity at the level of forest stand FTBA (Forest Type for Biodiversity Assessment) Forest Inventory Data and forest simulated results BioCalc software together with Pushchino 1 Team Analysis of simulations of biodiversity for a case study together with analysis of spatio-temporal data at landscape scale A soft multilevel system of functional species groups (ecological- coenotic groups) Database on vegetation sample plots to customize dynamic biodiversity assessment

6 Modeling forest ground vegetation

7 Forest Type classification for BA Forest types for Biodiversity Assessment Forest Inventory Data Dominant tree species Dominant species in ground vegetation

8 Regional vegetation databases Forest Type classification for BA Forest types for Biodiversity Assessment Ecological- coenotic groups of plants Forest Inventory Data Dominant tree species Dominant species in ground vegetation

9 Regional vegetation databases Forest Type classification for BA Forest types for Biodiversity Assessment Ecological- coenotic groups of plants Forest Inventory Data Dominant tree species Dominant species in ground vegetation Dominant species groups in ground vegetation

10 Regional vegetation databases Forest Type classification for BA Forest types for Biodiversity Assessment Forest Type for Biodiversity Assessment Ecological- coenotic groups of plants Forest Inventory Data Dominant tree species Dominant species in ground vegetation Dominant species groups in ground vegetation

11 Forest Type classification for BA Forest types for Biodiversity Assessment Regional vegetation databases Forest Type for Biodiversity Assessment Ecological- coenotic groups of plants Forest Inventory Data Dominant tree species Dominant species in ground vegetation Dominant species groups in ground vegetation Pine forest with Nemoral (oak) herbs Pine forest with Boreal (spruce) herbs Pine forest with Pine (after-fire) herbs

12 Estimation of forest ground vegetation diversity Vegetation Type = Forest Type for Biodiversity Assessment

13 Estimation of forest ground vegetation diversity Vegetation Type = Forest Type for Biodiversity Assessment Vegetation Sample Plots Data

14 Estimation of forest ground vegetation diversity Vegetation Type = Forest Type for Biodiversity Assessment Vegetation Sample Plots Data Forest type biodiversity values Average number of herb species (min-max) Functional structure of ground vegetation

15 Forest Type classification for BA Forest types for Biodiversity Assessment Regional vegetation databases A Forest Type for Biodiversity Assessment Ecological- coenotic groups of plants Forest Inventory Data Dominant tree species Dominant species in ground vegetation Dominant species groups in ground vegetation

16 Forest Type classification for BA Forest types for Biodiversity Assessment Forest Inventory Data Dominant tree species Site Conditions (Forest Site Index)

17 Forest Type classification for BA Forest types for Biodiversity Assessment Forest Inventory Data Dominant tree species Forest Site Index Regional Correspondence Tables Forest Site Index & Tree dominant – Forest Type

18 Forest Type classification for BA Forest types for Biodiversity Assessment Forest Type for Biodiversity Assessment Forest Inventory Data Dominant tree species Forest Site Index Regional Correspondence Tables Forest Site Index & Tree Dominant – Forest Type

19 BioCalc - a new software for dynamic analysis of forest ground vegetation diversity

20

21

22

23

24

25

26 Results of calculation

27

28

29 Common-GIS analysis

30

31 Functional groups dynamics Simulations of biodiversity for a case study Russkii Les: functional groups dynamics With Clear Cuttings Natural development

32 Simulations of biodiversity for a case study Russkii Les: species number dynamics With clear cuttings Natural development

33 Modeling ground vegetation dynamics EFIMOD parameters used for ground vegetation dynamics: tree composition deadwood humus volume nitrogen volume Next step: light soil moisture A possibility to use BioCalc for outputs of any forest growth model

34 Links with other projects Russian Foundation of Basic Researches projects , , Program of Basic Researches of RAS Board Scientific base for biodiversity conservation in Russia

35 Publications for the period years National reviewing journals published 1 in press3 submitted2 Presentations at the conferences international4 national3 Submitted presentation in International Conferences4


Download ppt "EU INTAS-2001-0633 SILVICS Project Pushchino Research Centre of the Russian Academy of Sciences Institute of Mathematical Problems in Biology (Pushchino."

Similar presentations


Ads by Google