Farming Systems Ecology Group, Wageningen University and Research, the Netherlands; Scientific Laboratory of Forest and Water Resources, Latvia University of Life Sciences and Technologies, Latvia; Institute of Economics and Regional Development, Latvia University of Life Sciences and Technologies, Latvia.
Farming Systems Ecology Group, Wageningen University and Research, the Netherlands.
J Environ Manage. 2023 Jan 1;325(Pt B):116563. doi: 10.1016/j.jenvman.2022.116563. Epub 2022 Oct 26.
Participatory techniques are widely recognized as essential in addressing the challenges of agri-environmental policy and decision-making. Furthermore, it is well known that stakeholder analysis and social network analysis are useful methods in the identification of actors that are involved in a system and the connections between them. To identify key stakeholders and improve the transfer of information from national-to farm-level, we compared a stakeholder analysis with farmer-centric networks for primary productivity, carbon regulation and biodiversity through the case study of Latvia. Farmer-centric networks show a higher number of stakeholders communicating on the topic of primary productivity network comparing to other topics. We found three pathways for improving knowledge transfer in agri-environmental governance: horizontal strengthening of farming community, horizontal strengthening of policy departments, and vertical strengthening between policy departments and farmers. The first step is to ensure that policy-makers have a common understanding of the results that should be achieved. The second step is the transfer of know-how between farmers to develop new solutions. The third step is the training of advisers in the land multifunctionality and the strengthening of communication and knowledge transfer between policy departments and farmers in order to jointly achieve the desired direction at that national level. Long-term cooperation between many stakeholders, including knowledge transfer, the development and implementation of solutions, and monitoring are essential in order to adequately address global societal challenges. The application of our mixed methods approach to elucidate pathways for improved governance of knowledge and information is of direct relevance to other jurisdictions seeking to transition towards multifunctional and sustainable land management.
参与式技术被广泛认为是应对农业环境政策和决策挑战的关键。此外，利益相关者分析和社会网络分析是识别系统中涉及的参与者及其之间关系的有用方法，这一点也是众所周知的。为了确定关键利益相关者，并改善从国家到农场层面的信息传递，我们通过拉脱维亚的案例研究，将利益相关者分析与以农民为中心的初级生产力、碳调节和生物多样性网络进行了比较。与其他主题相比，以农民为中心的网络在初级生产力网络上交流的利益相关者数量更多。我们发现了三种改善农业环境治理中知识转移的途径：加强农业社区的横向联系、加强政策部门的横向联系以及加强政策部门和农民之间的纵向联系。第一步是确保政策制定者对应该实现的结果有共同的理解。第二步是在农民之间转移专门知识，以开发新的解决方案。第三步是在土地多功能性方面培训顾问，并加强政策部门和农民之间的沟通和知识转移，以便在国家层面上共同朝着期望的方向努力。为了充分应对全球社会挑战，许多利益相关者之间的长期合作，包括知识转移、解决方案的制定和实施以及监测，都是必不可少的。我们应用混合方法来阐明改善知识和信息治理的途径，这对于其他寻求向多功能和可持续土地管理过渡的司法管辖区具有直接的相关性。
