A multi-attribute decision analysis of pest management strategies for Norwegian crop farmers

Title
A multi-attribute decision analysis of pest management strategies for Norwegian crop farmers
Publication Date
2020-02
Author(s)
Lavik, Ming Su
Hardaker, J Brian
Lien, Gudbrand
Berge, Therese W
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Elsevier BV
Place of publication
Netherlands
DOI
10.1016/j.agsy.2019.102741
UNE publication id
une:1959.11/51713
Abstract

This study provides a multi-attribute approach to support decisions by Norwegian crop farmers considering adopting innovative crop protection measures. In modelling choice among pest management strategies, we have accounted for both economic risks, risks to human health and risks to the environment. We used the Simple Multi-Attribute Rating Technique (SMART) to evaluate the results of a field trial comparing four different pest management strategies. In the trial, various pre-crops in year one were followed by two consecutive years of winter wheat. Two treatments had different levels of integrated pest management (IPM). IPM1 was the most innovative treatment and used less pesticides (i.e. herbicides, insecticides and fungicides) than IPM2. The third treatment ('Worst Case', WC) used pesticides routinely. The fourth treatment ('No Plant Protection', NPP) used no plant protection measures except one reduced dose of herbicide per year on winter wheat. Two main attributes were included in the SMART analysis, an economic indicator and a pesticide load indicator, each of which comprised a number of attributes at a subsidiary level. The results showed that the IPM1 and NPP strategies performed better than IPM2 and the WC strategies. However, the ranking of the pest management practices depended on the weighting of the two main attributes. Although the SMART analysis gave ordinal utility values, permitting only ranking of the alternatives, we were able to transform the results to measure financial differences between the alternatives.

Link
Citation
Agricultural Systems, v.178, p. 1-11
ISSN
1873-2267
0308-521X
Start page
1
End page
11

Files:

NameSizeformatDescriptionLink