作者: Michael Glemnitz , Angelika Wurbs , Reinhold Roth
DOI: 10.1016/J.ECOLIND.2009.03.005
关键词: Statistical analyses 、 Agricultural engineering 、 Biological dispersal 、 Agriculture 、 Lower saxony 、 Crop 、 Cropping 、 Crop rotation 、 Context (language use) 、 Agronomy 、 Geography
摘要: Abstract A methodological approach is presented which aims to visualise the constraints for crop sequence planning in agriculture a regional, large-scale context. In particular, relationship between scope of oilseed rape cultivation and overall regional cropping structure, share particular farm types interactions single crops have been analysed. The identified applied specify current regionally typical sequences as input data ex ante assessments, here exemplary genome dispersal risk case GM cultivation. spatio-temporal variation was analysed generalised through combination analytical, classification up-scaling techniques. order anticipate assess risks transgenic rape, methodology tuned on sequences, strongly influence temporal genetically modified rape. patterns were four northernmost German federal states: Schleswig-Holstein, Mecklenburg-Western Pomerania, Lower Saxony Brandenburg. For clusters, specific derived, taking into account weights related type. Real land-use obtained at research sites used precisely determine frequency crops, well discover sub-dominant combinations, may high impact processes. introduced stresses following aspects: (i) reflection situation due links periodically updated statistical data, (ii) implementation relationships different analyses, (iii) transfer extensive, spatially limited agricultural expert knowledge context (iv) integration measures that are highly sensitive