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Report of St' Petersburg Team

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A close cooperation with the Pushchino and Fraunhofer teams ... Gent(1) DSS Vienna (3), Uni Hohenheim (1) Trippstadt Forest Station (1) Pushchino (3) ... – PowerPoint PPT presentation

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Title: Report of St' Petersburg Team


1
INTAS 01-0633 SILVICS
  • Report of St. Petersburg Team
  • O.G. Chertov, M.A. Nadporozhskaya E.V. Abakumov
  • Biological Research Institute
  • St. Petersburg State University
  • 2005

2
Introduction
  • A close cooperation with the Pushchino and
    Fraunhofer teams
  • Development of a theoretical background for the
    SOM model
  • Incorporation of a new experimental data into the
    models
  • Formulation a new version of ROMUL model
  • Test the models for different spatial scales

3
The laboratory experiments
  • Impact of biochemical parameters of plant debris
    on the rate of their decomposition
  • Impact of the disposition of decomposing matter
    (pure or in mixture with different soil material)
    to specify difference of above-ground and
    below-ground litter decomposition and patterns of
    decomposition in organic layers
  • Specification of nitrogen mineralisation in
    dependence on SOM and soil properties

4
The field works include Experiments on
decomposition of forest litter fall of different
quality in the forestA study of SOM
accumulationin a process of primary soil
formation
5
Theoretical analysis of the decomposition process
6
Model of SOM and N dynamics ROMUL
  • The model is based on a classical concept of
    humus type (Humusform)
  • Experimental base for the model compilation is
    published and authors data on organic debris
    decomposition in controlled conditions
  • The rate of litter and SOM humification and
    mineralisation is dependent on quality of litter,
    soil temperature and moisture, and some soil
    physical and chemical parameters
  • There is a specification of rate variables for
    above and below ground litter cohorts
  • The model calculates the dynamics of organic
    matter and nitrogen during the decomposition with
    gross CO2 and available N evaluation
  • The model was evaluated against the long-term
    experimental data
  • The model is in use as a soil compartment in
    three forest ecosystem models

7
Flow chart of ROMUL model
8
Elaboration of a new ROMUL version
  • A large set of experimental data for SOM
    decomposition allows for a revision of ROMUL
    model
  • The kinetic coefficients of litter and SOM
    mineralisation were re-calculated using
    Bleasdale function and a special program (A.S.
    Komarov and M.A. Nadporozhskaya)
  • This allowed to specify the mineralisation rate
    in two sub horizons of forest floor (F and H) and
    a peat
  • A structure and test program of a new version of
    ROMUL model was compiled and preliminary tested

9
Calculation of kinetic coefficients of organic
debris mineralisation and humification
Stage of fast decomposition reflects a
mineralisation of fresh organic debris
The function of Bleasdale was used for
approximation of experimental curves y (a
bt) - 1/c or y (a bt)1/c
Stage of slow decomposition represents a
mineralisation of humified organic debris - not
the material with increased concentration of
lignin only
10
Flow chart of a new version of ROMUL model
11
The use of forest ecosystem model EFIMOD for
research and practical implementation at forest
stand, local and regional levels
  • Recently, the idea on the necessity to have a
    cascade of forest ecosystem models with a
    different spatial resolution was dominated in the
    terrestrial ecosystem modelling
  • Now there are technical opportunities allowing
    for a use of one basic model type at any spatial
    levels without the loss of information obtained
    at the lower levels
  • Some results of and prospects for the
    implementation of one basic model type to cover
    different spatial scales in forest ecosystem
    modelling were investigated

12
Methods and Material
  • Standard EFIMOD simulations of a single stand
    growth and soil changes were performed for the
    model use at different scales
  • Individual tree growth
  • Stand level effects
    of environmental changes thinning regimes
  • Local (landscape) level
    silvicultural regimes in forest enterprise (case
    studies)
  • Regional level
    soil carbon dynamics for a large forest area

13
Individual tree growth
Trajectories of individual tree growth on 25-m
transect in a modelled Norway spruce stand
Map of individual trees disposition on the
modelled plot
14
Hierarchy of spatial scales for the application
of a stand level model
Stand level Parameters of individual trees
growth Stand/soil parameters in detail No
generalised parameters for forest area
Local/landscape level Optionally parameters of
individual tree growth Stand/soil parameters in
details Generalised parameters of any format for
forest area
Regional level No parameters of individual tree
growth Optionally stand/soil parameters in full
details Generalised parameters of any format for
forest area
15
The results of EFIMOD runs at different scales
shows that
  • The application of one basic stand-level forest
    model for different spatial scales has positive
    prospects for its further development
  • At local and regional levels, this approach was
    used by Chumachenko et al. (2003 ForRus), Ho et
    al. (1999 LANDIS), Garman (2004), Kurz Apps
    (1999 CBM-CFS2) and Nabuurs et al. (2003
    EFISCEN)
  • The approach can be an additional methodological
    option that will be more effective for the
    practical implementation of the forest modelling
    for the realisation of the concept of Sustainable
    Forest Management

16
Case study I and II Application of the
EFIMOD-Pro for the analysis of carbon balance at
different silvicultural regimes in forests of
Central European Russia
17
Collaboration with Projects Teams
  • Close co-operation with Pushchino and Fraunhofer
    teams
  • Participation in the Case Study
  • Participation in the interpretation and
    presentation of the results of geovisualisation
    and Exploratory Spatial Data Analysis (ESDA) for
    Case Study

18
Links to other projects
  • EU INTAS Project 01 512 Podzol
  • St. Petersburg State University Project Changes
    of Soils and Soil Cover under Anthropogenic
    Factors
  • Russian Federal Science and Technology Program
    Global Climate Changes and Carbon Cycle, part
    14 Soil as a source of greenhouse gases

19
Publications for the period 2002-2005
International journals Published 4 Submitted
3 Proceedings and national journals Published
7 Submitted 3 Abstracts to conferences
19
20
21 presentations at international and national
scientific meetings for the period May 2002 -
February 2005
Pushkin, SPB (3) Gent(1)DSS Vienna (3), Uni
Hohenheim (1) Trippstadt Forest Station (1)
Pushchino (3),Kazan (2),Quebec (1)ForMod
Vienna (3)ECEM 04 (2)
21
Acknowledgements
The participants of SPBU team acknowledge
colleagues from other teams of the Project, the
Administration of the Biological Institute, the
Department of Soil Science and Soil Ecology of
St. Petersburg State University and the
Dokuchaev Soil Museum for their active
collaboration and valuable help
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