“…Instead, we assume that behavioral decisions are affected by multiple social influences and that environmentally desirable and undesirable behaviors can spread simultaneously 6 , 35 . Environmental managers, such as landowners, commonly interact with groups of actors with diverse interests 14 , 20 . Environmental behaviours can, therefore, be influenced by the information and perspectives gained via these interactions and the quality of the interactions, such as level of trust 20 .…”
Section: Introductionmentioning
confidence: 99%
“…Environmental managers, such as landowners, commonly interact with groups of actors with diverse interests 14 , 20 . Environmental behaviours can, therefore, be influenced by the information and perspectives gained via these interactions and the quality of the interactions, such as level of trust 20 . For example, landowners may contact authorities to gain information about environmental practices that is not available from fellow landowners and then adopt the practice if encouraged to do so by a like-minded landowner 20 , 36 .…”
Understanding the function of social networks can make a critical contribution to achieving desirable environmental outcomes. Social-ecological systems are complex, adaptive systems in which environmental decision makers adapt to a changing social and ecological context. However, it remains unclear how multiple social influences interact with environmental feedbacks to generate environmental outcomes. Based on national-scale survey data and a social-ecological agent-based model in the context of voluntary private land conservation, our results suggest that social influences can operate synergistically or antagonistically, thereby enabling behaviors to spread by two or more mechanisms that amplify each other’s effects. Furthermore, information through social networks may indirectly affect and respond to isolated individuals through environmental change. The interplay of social influences can, therefore, explain the success or failure of conservation outcomes emerging from collective behavior. To understand the capacity of social influence to generate environmental outcomes, social networks must not be seen as ‘closed systems’; rather, the outcomes of environmental interventions depend on feedbacks between the environment and different components of the social system.
“…Instead, we assume that behavioral decisions are affected by multiple social influences and that environmentally desirable and undesirable behaviors can spread simultaneously 6 , 35 . Environmental managers, such as landowners, commonly interact with groups of actors with diverse interests 14 , 20 . Environmental behaviours can, therefore, be influenced by the information and perspectives gained via these interactions and the quality of the interactions, such as level of trust 20 .…”
Section: Introductionmentioning
confidence: 99%
“…Environmental managers, such as landowners, commonly interact with groups of actors with diverse interests 14 , 20 . Environmental behaviours can, therefore, be influenced by the information and perspectives gained via these interactions and the quality of the interactions, such as level of trust 20 . For example, landowners may contact authorities to gain information about environmental practices that is not available from fellow landowners and then adopt the practice if encouraged to do so by a like-minded landowner 20 , 36 .…”
Understanding the function of social networks can make a critical contribution to achieving desirable environmental outcomes. Social-ecological systems are complex, adaptive systems in which environmental decision makers adapt to a changing social and ecological context. However, it remains unclear how multiple social influences interact with environmental feedbacks to generate environmental outcomes. Based on national-scale survey data and a social-ecological agent-based model in the context of voluntary private land conservation, our results suggest that social influences can operate synergistically or antagonistically, thereby enabling behaviors to spread by two or more mechanisms that amplify each other’s effects. Furthermore, information through social networks may indirectly affect and respond to isolated individuals through environmental change. The interplay of social influences can, therefore, explain the success or failure of conservation outcomes emerging from collective behavior. To understand the capacity of social influence to generate environmental outcomes, social networks must not be seen as ‘closed systems’; rather, the outcomes of environmental interventions depend on feedbacks between the environment and different components of the social system.
“…Different organisational strategies affect practices and hence the professionals have varying resources and objectives when they meet with forest owners. Forest owners in Finland receive services and information from several actors that operate in a multi-actor network consisting of representatives of the state administration, various market-driven service providers and NGOs, which operate mainly with issues related to nature conservation (Salomaa et al 2016;Vainio et al 2018).…”
Section: Forest Owner Advisory and Regulatory Service Providers In Fimentioning
To be presented, with the permission of the Faculty of Agriculture and Forestry of the University of Helsinki, for public examination in Raisio-sali of the Forest Sciences Building, Latokartanonkaari 7, Helsinki on 28 th February 2020 at 12:00 noon.
“…However, as the forest policy network literature shows, the patterns of forest information exchange can vary. Recent studies revealed that the ties of information exchange among actors within the forestry sector and within the nature conservation sector are much stronger than the ones between forestry and nature conservation and vice versa [7][8][9][10]. Assuming that forest information exchange is key for cross-sectoral collaboration, the question of the rationale for limited forest information exchange across the different sectors appears.…”
The importance of trust has been widely acknowledged as a major antecedent and a constitutive element of information exchange in policy networks. The ultimate objective of the present article is to understand whether and how trust is a factor explaining patterns of limited information exchange between forestry and nature conservation actors in forest policy networks in Europe. Drawing upon analytical insights of actor-centered institutionalism (ACI) and building upon a qualitative network analysis (QNA) as a research strategy, the study focuses on the German forest policy network in order to provide deeper insights into the cooperative (i.e., generalized trust) and competitive (i.e., generalized distrust) orientations of forestry and nature conservation actors. The results reveal trust issues with respect to forest information, which can be framed according to the interests of forestry and nature conservation actors and used as a discursive weapon, softly steering them in a particular direction. The underlying causes of the trust issues are deeply rooted in conflicts of interests and power, preventing from exchanging forest information among forestry and nature conservation actors. It is therefore argued that forest information should be understood as a political asset rather than a neutral and objective form of expertise. This could explain persistent trust issues and conflicts among forestry and nature conservation actors when it comes to the exchange of forest information in the context of European forest policy networks.
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