13 research outputs found
Testing the relative sensitivity of 102 ecological variables as indicators of woodland condition in the New Forest, UK.
Forests globally are facing an increasing number of threats from modified disturbance regimes, novel stressors and changing environmental conditions. This has ultimately resulted in declines in the ecological condition of many forest and woodland ecosystems, leading to widespread tree mortality and stand dieback. Effective indicators of overall woodland ecological condition are therefore needed for environmental monitoring and to support management responses. To test the effectiveness of different variables that could potentially be used as indicators of woodland condition, 102 variables that describe woodland structure, composition, functioning, edaphic conditions and disturbance regimes were assessed along 12 replicate gradients of beech stand dieback. Results indicated that 35 variables differed significantly between at least two stages of the dieback gradient, indicating their sensitivity to stand dieback. Seven of these indicators related to woodland species composition, two to functional processes, 20 to structural features, four to edaphic conditions, and two to disturbance regimes. These results demonstrate that effective indicators can potentially be identified for each of the ecological categories. Effective composition indicators included species richness of ectomycorrhizal fungi, ground flora and epiphytic lichens; functional indicators were soil respiration rate and net nitrification rate; edaphic conditions included soil Na:Ca ratio, exchangeable sodium, total carbon, Ca:Al ratio; structural indicators included canopy openness, litter cover, sward height, and volume of deadwood, and for disturbance the indicator was Equus dung density. Other measures, such as shrub cover and species richness of carabid beetles and spiders, were not found to vary significantly along the dieback gradients, and were therefore not identified as effective indicators. These results demonstrate the value of gradient analysis for evaluating indicators of woodland condition, but also highlight the need for multi-site studies to identify indicators with widescale applicability
Forest Policy Information Networks and the Role of Trust: Cooperative and Competitive Orientations and Underlying Causes
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
Forest Policy Information Networks and the Role of Trust: Cooperative and Competitive Orientations and Underlying Causes
Institutional and Actor-Oriented Factors Constraining Expert-Based Forest Information Exchange in Europe: A Policy Analysis from an Actor-Centred Institutionalist Approach
Adequate and accessible expert-based forest information has become increasingly in demand for effective decisions and informed policies in the forest and forest-related sectors in Europe. Such accessibility requires a collaborative environment and constant information exchange between various actors at different levels and across sectors. However, information exchange in complex policy environments is challenging, and is often constrained by various institutional, actor-oriented, and technical factors. In forest policy research, no study has yet attempted to simultaneously account for these multiple factors influencing expert-based forest information exchange. By employing a policy analysis from an actor-centred institutionalist perspective, this paper aims to provide an overview of the most salient institutional and actor-oriented factors that are perceived as constraining forest information exchange at the national level across European countries. We employ an exploratory research approach, and utilise both qualitative and quantitative methods to analyse our data. The data was collected through a semi-structured survey targeted at forest and forest-related composite actors in 21 European countries. The results revealed that expert-based forest information exchange is constrained by a number of compound and closely interlinked institutional and actor-oriented factors, reflecting the complex interplay of institutions and actors at the national level. The most salient institutional factors that stand out include restrictive or ambiguous data protection policies, inter-organisational information arrangements, different organisational cultures, and a lack of incentives. Forest information exchange becomes even more complex when actors are confronted with actor-oriented factors such as issues of distrust, diverging preferences and perceptions, intellectual property rights, and technical capabilities. We conclude that expert-based forest information exchange is a complex and challenging task. It is driven by actors’ preferences/interests, perceptions, and capabilities, and is shaped by formal rules and social norms