Assessing the indirect and long-term ecological impacts of innovation in agriculture is a real challenge: the GM example : Colza, enjeux et nouvelles synergies de la recherche
{"title":"Assessing the indirect and long-term ecological impacts of innovation in agriculture is a real challenge: the GM example : Colza, enjeux et nouvelles synergies de la recherche","authors":"A. Messéan, F. Angevin, N. Colbach, J. Meynard","doi":"10.1051/OCL.2003.0195","DOIUrl":null,"url":null,"abstract":"All innovation in agriculture constitutes a significant and complex ecological disturbance, even if limited to a single and simple action. Indeed, whatever the nature and objective of the action, a large number of ecological processes are affected and numerous discontinuities may occur within the agro-ecosystem, in both time and space. As the GMO example illustrates, it is not sufficient to focus on direct effect of innovation, it is necessary to forecast mid- and long-term impacts of innovation with respect to the environment. Modelling phenomena appear then to be a key element to achieve this goal.","PeriodicalId":30815,"journal":{"name":"Oleagineux Corps gras Lipides","volume":"18 1","pages":"195-197"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oleagineux Corps gras Lipides","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/OCL.2003.0195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
All innovation in agriculture constitutes a significant and complex ecological disturbance, even if limited to a single and simple action. Indeed, whatever the nature and objective of the action, a large number of ecological processes are affected and numerous discontinuities may occur within the agro-ecosystem, in both time and space. As the GMO example illustrates, it is not sufficient to focus on direct effect of innovation, it is necessary to forecast mid- and long-term impacts of innovation with respect to the environment. Modelling phenomena appear then to be a key element to achieve this goal.