R. Flor, H. Maat, A. Stuart, Rathmuny Then, Saban Choun, Sokunroth Chhun, B. Hadi
{"title":"Introducing an ecologically-based pest management approach in Cambodia through adaptive learning networks","authors":"R. Flor, H. Maat, A. Stuart, Rathmuny Then, Saban Choun, Sokunroth Chhun, B. Hadi","doi":"10.1177/00307270231177721","DOIUrl":null,"url":null,"abstract":"How can we reach farmers with ecologically-based Integrated Pest Management (IPM) while creating a supportive context for adoption by farmers and relevant stakeholders? We assessed a new method – Adaptive Learning Networks – from reflections of varied stakeholders, farmer diaries and survey data procured in 2016 and 2019. This method is different from current IPM approaches, in that an explicit focus of learning was on engaging other stakeholders to enable adoption by farmers. For example, access to IPM products, providing new services and creating new policies were intrinsically part of the learning process, alongside learning on-farm IPM techniques. The main consideration is to ease farmers from being locked into the practice of pesticide reliance. The method facilitated multi-stakeholder learning that led to an adaptation of the IPM tools and techniques in the case examined. The priority of this new method was socio-technical learning, wherein varied stakeholders modify interactions, incentives and arrangements relating to pest management. Comparing 2016 and 2019 data, there was a significant reduction in insecticide, herbicide, and rodenticide applications. The observed outcomes indicate the potential to enable a wider spread of IPM technologies.","PeriodicalId":54661,"journal":{"name":"Outlook on Agriculture","volume":"52 1","pages":"200 - 211"},"PeriodicalIF":3.5000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Outlook on Agriculture","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1177/00307270231177721","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
How can we reach farmers with ecologically-based Integrated Pest Management (IPM) while creating a supportive context for adoption by farmers and relevant stakeholders? We assessed a new method – Adaptive Learning Networks – from reflections of varied stakeholders, farmer diaries and survey data procured in 2016 and 2019. This method is different from current IPM approaches, in that an explicit focus of learning was on engaging other stakeholders to enable adoption by farmers. For example, access to IPM products, providing new services and creating new policies were intrinsically part of the learning process, alongside learning on-farm IPM techniques. The main consideration is to ease farmers from being locked into the practice of pesticide reliance. The method facilitated multi-stakeholder learning that led to an adaptation of the IPM tools and techniques in the case examined. The priority of this new method was socio-technical learning, wherein varied stakeholders modify interactions, incentives and arrangements relating to pest management. Comparing 2016 and 2019 data, there was a significant reduction in insecticide, herbicide, and rodenticide applications. The observed outcomes indicate the potential to enable a wider spread of IPM technologies.
期刊介绍:
Outlook on Agriculture is a peer reviewed journal, published quarterly, which welcomes original research papers, research notes, invited reviews and commentary for an international and interdisciplinary readership. Special attention is paid to agricultural policy, international trade in the agricultural sector, strategic developments in food production, the links between agricultural systems and food security, the role of agriculture in social and economic development, agriculture in developing countries and environmental issues, including natural resources for agriculture and climate impacts.