Regionalisation of climate variability used for modelling the dispersal of genetically modified oil seed rape in Northern Germany

摘要: Abstract The joint research project “Generic detection and extrapolation of genetically modified oilseed rape dispersal (GenEERA)” aimed at estimating the persistence (GM) ( Brassica napus ) in a larger region by combining small-scale individual-based model an up-scaling approach, for which various data sources had to be evaluated deal with local processes spatial heterogeneities on regional scale. objective article hand is give detailed account variability climate Northern Germany (German Federal States Brandenburg, Lower Saxony Bremen, Mecklenburg–Western Pomerania, Schleswig-Holstein Hamburg). Based this, method was developed that includes both, determination representative fields modelling GM field scale, subsequent generalisation results landscape level Accordingly, land characteristics could important were regionalised within GIS environment: beginning flowering modelled variogram analysis kriging estimation used select satellite images determine period individual based modelling. monthly means (1961–1990) precipitation P ), air temperature T sunshine duration S WARD cluster analysis. PTS-clusters combined four climatic regions together clusters wind speed direction as well use (crop rotation management), provided other partners, enabled finally define eight maximum internal homogeneity. A meteorological station selected represent each these regions. (hourly means), precipitation, (daily) measured location growth, level. Linking sites map ecoregions integrates patterns soils, elevation, vegetation climate, considered analogy reasoning valid all those are represented and, thus, spatially generalised.