SOM control: Controls on soil organic matter in Swiss forest soils: The impact of forest productivity, land-use history, climate and physico-chemical stabilization.

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Presentation transcript:

SOM control: Controls on soil organic matter in Swiss forest soils: The impact of forest productivity, land-use history, climate and physico-chemical stabilization Frank Hagedorn, Urs Gimmi, Esther Thürig, Lorenz Walthert Swiss Federal Institute of Forest, Snow and Landscape Research WSL

SOM: Key component of soils -Sink and source of greenhouse gases -Nutrient source -Driver for biodiversity -Retention of pollutants -Controls on water storage and soil stability

SOM control Litter decomposition Organic matter stabilization Historical land-use Forest management Climate (MAT, MAP) Physico- chemical soil properties Litter input

SOM control SOM models SOM = f (litter inputs and climate) e.g. YASSO07; Tuomi et al., 2009; Ecol. Modelling Experimental findings SOM = f (stabilization) e.g. Kramer et al Global Change Biology CO 2

SOM control Schmidt et al., Nature (2011) : In the long term or at a global scale, mechanisms of SOM stabilization and destabilization are currently not embedded in models

SOM control Impact of (1) Forest productivity and tree species composition (2) Land-use (history) (3) Climate: temperature and precipitation (4) Physico-chemical parameters controlling SOM stabilization Aim Identify the drivers of SOM storage in forest soils of Switzerland

SOM control: Approach SOM stocks Organic layer Mineral soil SOM quality Climate Litter input Potential Drivers SOM vulnerability Swiss-SOM projects Historic land-use Land management Physico- chemical soil properties Data analysis Residual analysis Linear mixed models Multiple regression Path analysis ….. SOM Model WSL data base

WSL soil data base Pedothek at WSL: Archived soil samples from 1300 soil profiles

WSL soil data base Soil Parameter Number of soil profiles (6 horizons on average) Corg, Nitrogen, C/N ratio 1350 Exchangeable cations (1 M NH4Cl) 1150 Fe + Al oxides250 Texture1300 Density250 measured /700 by pedo-transfer Stone content250 measured / 1100 by field survey Organic layer thickness, C-pool1350 Vegetation survey (Braun-Blanquet) soil profiles

Reconstruction of historical land-use Dufour original survey maps (~1850)Modern topographic map Siegfried maps (~1900, 1950) All digitized at WSL

Identifcation of SOM drivers - Forest productivity, tree species: National forest inventory (NFI) - Land management: historic and actual plans - Climate (MAT, MAP): Interpolated across Switzerland - SOM modelling: Apply SOM model driven by litter inputs and climate (e.g. YASSO07)  Analysis of residuals  Improved modelling in cooperation within SwissSOM

Synergies within SwissSOM SOM Fate S. Abiven & P. Niklaus  SOM vulnerability SOM sentinels T. Eglington  Molecular & 14C analysis SOM control F. Hagedorn et al.  Field and archived soils

SOM control: implementation 1.Improve the Swiss Greenhouse Gas Inventory  Close collaboration with rapporteurs at BAFU 2.Vulgarize results 3.Make data and result available 4.Organize summer school with SwissSOM for students, practicioners, and policy makers

SOM control: the team PhD, N.N. Dr. Frank Hagedorn: Leader Research Group Biogeochemistry WSL  Project leader; SOM control Dr. Esther Thürig: Leader Research Group Forest Resources and Functions, WSL  National Forest Inventory Dr. Urs Gimmi, Landscape Ecology, WSL  Historical land-use Lorenz Walthert: Soil Functions and Soil Protection, WSL  WSL soil data base PD Pascal Niklaus: University of Zurich  PhD supervision; statistical advice; SOM modelling

Milestones Task  Month  Completing data bank Measuring additional soil profiles 1 3. Estimation of forest productivity 1 4. Reconstruction of historical land- use Statistical analysis Modelling soil C dynamics Link with other SOM projects 8. Link Land-mapping/GIS-projects 9. Writing of publications and thesis 123 SOM control: Milestones

SOM control: Selection of candidate Advertisement by Human Resources WSL, Colleagues PhD candidate: Good background in statistics, R, Soil science

Thank you!