Skoková Habuštová Oxana, Svobodová Zdeňka, Cagáň Ľudovít, Sehnal František
Institute of Entomology, Biology Centre CAS, Branišovská 31, 370 05 České Budějovice, Czech Republic.
Department of Plant Protection, Faculty of Agrobiology and Food Resources, Slovak Agricultural University, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia.
Toxins (Basel). 2017 Mar 29;9(4):121. doi: 10.3390/toxins9040121.
Post-market environmental monitoring (PMEM) of genetically modified (GM) crops is required by EU legislation and has been a subject of debate for many years; however, no consensus on the methodology to be used has been reached. We explored the suitability of carabid beetles as surrogates for the detection of unintended effects of GM crops in general PMEM surveillance. Our study combines data on carabid communities from five maize field trials in Central Europe. Altogether, 86 species and 58,304 individuals were collected. Modeling based on the gradual elimination of the least abundant species, or of the fewest categories of functional traits, showed that a trait-based analysis of the most common species may be suitable for PMEM. Species represented by fewer than 230 individuals (all localities combined) should be excluded and species with an abundance higher than 600 should be preserved for statistical analyses. Sixteen species, representing 15 categories of functional traits fulfill these criteria, are typical dominant inhabitants of agroecocoenoses in Central Europe, are easy to determine, and their functional classification is well known. The effect of sampling year is negligible when at least four samples are collected during maize development beginning from 1 April. The recommended methodology fulfills PMEM requirements, including applicability to large-scale use. However, suggested thresholds of carabid comparability should be verified before definitive conclusions are drawn.
欧盟立法要求对转基因作物进行上市后环境监测(PMEM),多年来这一直是一个争论的话题;然而,对于所使用的方法尚未达成共识。我们探讨了步甲作为一般PMEM监测中转基因作物非预期效应检测替代物的适用性。我们的研究结合了中欧五个玉米田间试验中步甲群落的数据。总共收集了86个物种和58304个个体。基于逐步排除最不丰富的物种或最少功能性状类别的建模表明,对最常见物种进行基于性状的分析可能适用于PMEM。个体数量少于230个(所有地点合计)的物种应排除,数量高于600个的物种应保留用于统计分析。16个物种代表15类功能性状,符合这些标准,是中欧农业生态群落中典型的优势居民,易于鉴定,其功能分类也广为人知。从4月1日开始,在玉米生长期间至少采集四个样本时,采样年份的影响可以忽略不计。推荐的方法符合PMEM要求,包括适用于大规模应用。然而,在得出明确结论之前,应验证步甲可比性的建议阈值。