ZALF is a national research facility with about 300 employees, including 130 scientists. The research focuses on integrated system analysis of agricultural landscapes for sustainable management of land and water, conservation of natural resources, and sustainable development of rural areas. The methodological approaches encompass the investigation of natural and societal processes on different spatial and temporal scales, mathematical modelling, scenario analysis and elaboration of decision support systems.
The socio-economics institute deals mainly with microeconomic modelling of farm-level decision-making processes, the identification of user-group specific demands on the use of agricultural landscapes, and the evaluation of the effectiveness and efficiency of instruments for controlling sustainable landscape use. The institute has been/is involved in the following EU projects: BIOFACT, CAP-IRE, CORASON, LUPIS, MEA-Scope, MULTAGRI, PLUREL, SCENAR, SEAMLESS, SENSOR, SENSOR-TTC, and SOBIO along with numerous national projects on a diversity of subjects related to economics and policies of land use.
Agricultural scientist, assessment of cropping sequences.
Bachinger, J. and Reining, E. 2009. An empirical statistical yield model for legume-grass leys within organic crop rotations based on cumulative water balances. Grass and Forage Science, 64, 144-159.
Bachinger, J. and Zander, P. 2007. ROTOR: a tool for generating and evaluating crop rotations for organic farming systems. European Journal of Agronomy 26, 130-143.
Bachinger, J., Stein-Bachinger, K. and Fuchs, S. 2006. Ecological and agronomic evaluation of crop rotations in organic farming systems. In: Organic Farming and European Rural Development: Proceedings of the European Joint Organic Congress, 30 and 31 May 2006 in Odense, Denmark, pp. 228-229; Tjele (DARCOF).
Sattler, C, Schuler, J. and Zander, P. 2006. Determination of trade-off-functions to analyse the provision of agricultural non-commodities. International Journal of Agricultural Resources, Governance and Ecology 5, 309-325.
Schuler, J. and Sattler, C. (2008): The estimation of agricultural policy effects on soil erosion—An application for the bio-economic model MODAM. Land Use Policy, in press. doi:10.1016/j.landusepol.2008.05.00.
Zander, P., Groot, J.C.J., Josien, E., Karpinski, I., Knierim, A., Madureira, L., Meyer, B.C., Rambonilaza, T., and W.A.H. Rossing 2008. Models, techniques and tools to explain and assess multifunctionality of agriculture. International Journal of Agricultural Resources, Governance and Ecology (IJARGE) 7, 339-360.