Building better environmental risk assessments
Risk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resourc...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2015-08-01
|
| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00110/full |
| _version_ | 1819213038744502272 |
|---|---|
| author | Raymond eLayton Joe eSmith Phil eMacdonald Ramatha eLetchumanan Paul eKeese Martin eLema |
| author_facet | Raymond eLayton Joe eSmith Phil eMacdonald Ramatha eLetchumanan Paul eKeese Martin eLema |
| author_sort | Raymond eLayton |
| collection | DOAJ |
| description | Risk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resources. In order to be most useful, environmental risk assessments (ERA) for genetically modified (GM) crops should provide consistent, reliable, and transparent results across all types of GM crops, traits, and environments. The assessments must also separate essential information from scientific or agronomic data of marginal relevance or value for evaluating risk and complete the assessment in a timely fashion. Challenges in conducting ERAs differ across regulatory systems – examples are presented from Canada, Malaysia, and Argentina. One challenge faced across the globe is the conduct of risk assessments with limited resources. This challenge can be overcome by clarifying risk concepts, placing greater emphasis on data critical to assess environmental risk (for example, phenotypic and plant performance data rather than molecular data), and adapting advances in risk analysis from other relevant disciplines. |
| first_indexed | 2024-12-23T06:52:31Z |
| format | Article |
| id | doaj.art-236c095addf349c1bb75a87aeef6ec7a |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-23T06:52:31Z |
| publishDate | 2015-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-236c095addf349c1bb75a87aeef6ec7a2022-12-21T17:56:24ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852015-08-01310.3389/fbioe.2015.00110151707Building better environmental risk assessmentsRaymond eLayton0Joe eSmith1Phil eMacdonald2Ramatha eLetchumanan3Paul eKeese4Martin eLema5DuPont PioneerAdvisor in Regulation, Science, and GovernmentCanadian Food Inspection AgencyMinistry of Natural Resources and EnvironmentOffice of the Gene Technology RegulatorMinistry of Agriculture, Livestock, and Fisheries of ArgentinaRisk assessment is a reasoned, structured approach to address uncertainty based on scientific and technical evidence. It forms the foundation for regulatory decision making, which is bound by legislative and policy requirements, as well as the need for making timely decisions using available resources. In order to be most useful, environmental risk assessments (ERA) for genetically modified (GM) crops should provide consistent, reliable, and transparent results across all types of GM crops, traits, and environments. The assessments must also separate essential information from scientific or agronomic data of marginal relevance or value for evaluating risk and complete the assessment in a timely fashion. Challenges in conducting ERAs differ across regulatory systems – examples are presented from Canada, Malaysia, and Argentina. One challenge faced across the globe is the conduct of risk assessments with limited resources. This challenge can be overcome by clarifying risk concepts, placing greater emphasis on data critical to assess environmental risk (for example, phenotypic and plant performance data rather than molecular data), and adapting advances in risk analysis from other relevant disciplines.http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00110/fullRisk AssessmentRisk ManagementGMOrisk characterizationnontarget organismsGenetically engineered crops |
| spellingShingle | Raymond eLayton Joe eSmith Phil eMacdonald Ramatha eLetchumanan Paul eKeese Martin eLema Building better environmental risk assessments Frontiers in Bioengineering and Biotechnology Risk Assessment Risk Management GMO risk characterization nontarget organisms Genetically engineered crops |
| title | Building better environmental risk assessments |
| title_full | Building better environmental risk assessments |
| title_fullStr | Building better environmental risk assessments |
| title_full_unstemmed | Building better environmental risk assessments |
| title_short | Building better environmental risk assessments |
| title_sort | building better environmental risk assessments |
| topic | Risk Assessment Risk Management GMO risk characterization nontarget organisms Genetically engineered crops |
| url | http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00110/full |
| work_keys_str_mv | AT raymondelayton buildingbetterenvironmentalriskassessments AT joeesmith buildingbetterenvironmentalriskassessments AT philemacdonald buildingbetterenvironmentalriskassessments AT ramathaeletchumanan buildingbetterenvironmentalriskassessments AT paulekeese buildingbetterenvironmentalriskassessments AT martinelema buildingbetterenvironmentalriskassessments |