An integrative methodology to predict dispersal of genetically modified genotypes in oilseed rape at landscape-level - A study for the region of Schleswig-Holstein, Germany

Ecological Indicators

Volumn 11, Issue 4, 2011, Pages 1000-1007

  Middelhoff, Ulrike ^a,b   Reiche, Ernst Walter ^a   Windhorst, Wilhelm ^a  

^a UNIVERSITY OF KIEL   (Germany)

^b Federal Office of Consumer Protection and Food Safety   (Germany)

Author keywords

Brassica napus; Co existence; Environmental effects; Genetically modified organisms; GIS; Monitoring; Oilseed rape; Simulation model; Spatial analysis; Spread; Up scaling

Indexed keywords

BRASSICA NAPUS; CO-EXISTENCE; ENVIRONMENTAL EFFECTS; GENETICALLY MODIFIED ORGANISMS; GIS; OILSEED RAPE; SIMULATION MODEL; SPATIAL ANALYSIS; SPREAD; UPSCALING;

COMPUTER SIMULATION; CROPS; DECISION MAKING; ECONOMICS; GENETICALLY MODIFIED PLANTS; LIFE CYCLE; OILSEEDS; QUERY LANGUAGES;

SPATIAL VARIABLES MEASUREMENT;

CANOLA; COEXISTENCE; COST-BENEFIT ANALYSIS; CROP ROTATION; DATABASE; DECISION MAKING; DIGITAL MAP; DISPERSAL; ECOLOGICAL MODELING; ENVIRONMENTAL IMPACT; ENVIRONMENTAL MONITORING; GENOTYPE; GIS; LANDSCAPE; MODEL TEST; SATELLITE IMAGERY; SOCIOECONOMIC IMPACT; SOFTWARE; SPATIAL ANALYSIS; TRANSGENIC PLANT;

GERMANY; SCHLESWIG-HOLSTEIN;

BRASSICA NAPUS; MAGNOLIOPHYTA;

EID: 79952627374     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2009.03.008     Document Type: Article

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