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biomass yield model [bym]
biomass potential of arable land                                                               Sybille Brozio & Mirella Zeidler

 The quantity of harvestable bioenergy depends on site conditions, cultivation intensity and cultivation aims. The estimation of biomass is realised by combining yield functions and crop rotation algorithms in a model.

Spatial data are visualised in Geographic Information Systems (GIS). The algorithms are programmed in the system ArcGIS 9.x © ESRI and the programming language Visual Basic for Application.


Model input data: 

site specific: 

·  arable land  ·  annual precipitation  ·  soil fertility  ·

regional specific:

·  demand of food  ·  statistics of live stock  ·  bioenergy sites  ·

 Results of modelling are potential annual yield maps of dry matter with following attributes:

  • Definition of site specific crop rotations
  • Calculation of crop yields including crop rotation impact
  • Calculation of yields (dry mass) of by-products, harvesting residuals (straw, leaves) and roots
  • Visualization of biomass potentials in several scales:


yield potential of crops and by-products (dry mass)


yield potential minus demand for food and fodder

bioenergy content of energy crops: biogas, bioethanol, biodiesel, synthetic biofuels


 e.g. humus carbon balances, precipitation scenarios, energy crop rotations, yield increasing

Publications: (english)

Brozio, S., Zeidler, M., Piorr, H.-P. & F. Torkler (2010): A GISbased tool for humus carbon balancemodelling in agriculture, oral presenatation, Book of Abstracts, International Conference on Soil Fertility and Soil Productivity, 17-20 March 2010, Humboldt-University zu Berlin, Germany, p.182.

Piorr, H.-P., Brozio, S. & M. Zeidler (2009): Bioplynový potenciál v České republice / Biogas potentials in the Czech Republic, Biogas conference 2009 (Konference BIOPLYN 2009), 8.-9. April 2009, Českých Budějovicích.

Brozio, S., Zeidler, M., Piorr, H.-P. & I. Berndt (2008): Identifying bioenergy potentials, In: Lindblom, P.G. & Rasmussen, R.O.: Bioenergy and Regional Development in the Nordic Countries, NORDREGIO working paper 2008:5, Stockholm. link

Brozio, S., Laufer, S., Piorr, H.-P., Zeidler, M. & F. Torkler (2007): GIS Methods and Mapping Results - Brandenburg, Germany; In: IHK Potsdam (2007): Planning regional bioenergy resource use; Interreg IIIB Project Handbook Baltic Biomass Network, 30.November 2007, Potsdam. link

Brozio, S., Laufer, S., Piorr, H.-P., Zeidler, M., Zeller, H., Lorenz, K. & F. Torkler (2007): Modelling of regional specific bioenergy and bioethanol potential in Germany, Poland and Baltic States; IN: Proceedings of 3rd International Scientific Conference "RURAL DEVELOPMENT", 8-10th November 2007, Kaunas, Lithuania.

Brozio, S.; Piorr, H.-P.; Torkler F. & D. Müller (2006): Bioenergy from Biomass: Modelling with GIS, Proceedings, InterCarto — InterGIS 12, 28.-30. August 2006, Berlin; ISBN 3-00-019239-6, S. 54-61.

Brozio, S.; Müller, D.; Piorr, H.-P.; Fleischmann, S. & F. Torkler (2005): Biomass as Energy Source: Modelling with GIS; International Energy Farming Congress, 02.-04. März 2005 in Papenburg.


(last change: 27.03.2012 by Sybille Brozio)