학술논문
Social Ecological System Tools for Improving Crop Pest Management
Document Type
Report
Author
Source
Journal of Integrated Pest Management. Annual 2019, Vol. 10 Issue 1, p1a, 6 p.
Subject
Language
English
Abstract
Integrated pest management (IPM) is a decision support system for the selection and use of pest control tactics, singly or harmoniously coordinated into a management strategy, based on cost--benefit analyses [...]
Integrated pest management (IPM) is a valuable tool for reducing pesticide use and for pesticide resistance management. Despite the success of IPM over the last 50 yr, significant challenges remain to improving IPM delivery and adoption. We believe that insights can be obtained from the field of Social Ecological Systems (SES). We first describe the complexity of crop pest management and how various social actors influence grower decision making, including adoption of IPM. Second, we discuss how crop pest management fits the definition of an SES, including such factors as scale, dynamic complexities, critical resources, and important social--ecological interactions. Third, we describe heuristics and simulation models as tools to understand complex SES and develop new strategies. Finally, we conclude with a brief discussion of how social processes and SES techniques could improve crop pest management in the future, including the delivery of IPM, while reducing negative social and environmental impacts. Key words: pesticides, risk, IPM, sustainability, resilience
Integrated pest management (IPM) is a valuable tool for reducing pesticide use and for pesticide resistance management. Despite the success of IPM over the last 50 yr, significant challenges remain to improving IPM delivery and adoption. We believe that insights can be obtained from the field of Social Ecological Systems (SES). We first describe the complexity of crop pest management and how various social actors influence grower decision making, including adoption of IPM. Second, we discuss how crop pest management fits the definition of an SES, including such factors as scale, dynamic complexities, critical resources, and important social--ecological interactions. Third, we describe heuristics and simulation models as tools to understand complex SES and develop new strategies. Finally, we conclude with a brief discussion of how social processes and SES techniques could improve crop pest management in the future, including the delivery of IPM, while reducing negative social and environmental impacts. Key words: pesticides, risk, IPM, sustainability, resilience