The Estonian concept of ecological networks (the Green Network) is implemented at different administrative levels by including multiple stakeholders. Building ecologically coherent Green Infrastructure is also one strategic aim of the European Union's environmental policy. An embedded case study shows that contradictions between governance levels and ineffective stakeholder involvement measures have caused negative influence on land use decision-making processes on a local level. We further identified that the process of integrating the ecological network concept into the land use planning system has characteristics of vertical decentralisation, but the lack of relevant coordination have precluded achieving satisfactory results regarding stakeholder involvement and co-operation.KEY WORDS: ecological networks, green infrastructure, multi-level governance, stakeholder participation, spatial planning.DOI: http://dx.doi.org/10.15181/tbb.v69i1.1052
Subject area: Environmental policy. More specific subject area: Monitoring; evaluation; European Policy; Water Framework Directive; Natura 2000; Agri-Environment Schemes. Type of data: Tables and text. How data was acquired: Review and analysis of any publicly-available information on monitoring programs. Data format: Summarized, analyzed. Experimental factors: In 2017 the authors searched for publicly available about monitoring programs associated with 3 policy areas: the Water Framework Directive, Natura 2000 and Agri-Environment Schemes under the Common Agricultural Policy. Authors from each organization searched for information about monitoring in the country or region of the organization where they are based: Catalonia (Spain), Estonia, Finland, Flanders (Belgium), Hungary, Romania, Slovakia, Scotland (UK), Sweden. Internet searches of grey and academic literature were used: some authors also contacted policy contacts for advice about where this information could be found, but did not use any information that was not already publicly available. Experimental features: Bibliographic information on the information sources was recorded (see reference list below), and each author team searched for and summarized information about monitoring and evaluation according to a standard template (see below). Data source location: Catalonia (Spain), Estonia, Finland, Flanders (Belgium), Hungary, Romania, Slovakia, Scotland (UK), Sweden. Data accessibility: All of the data are within this article. Related research article: Companion paper to: Waylen, K.A.; Blackstock, K.L.; van Hulst. F.; Damian, C.; Horváth, F.; Johnson, R.; Kanka, R.; Külvik, M.; Macleod, C.; Meissner, C.; Oprina-Pavelescu, M.; Pino, J.; Primmer, E.; Rîșnoveanu, G.; Šatalová, B.; Silander, J.; Špulerová, J.; Suškevičs, M.; Van Uytvanck, J. 2019. Policy-driven monitoring and evaluation: does it support adaptive management of socio-ecological systems? Science of the Total Environment, 662: 373–384 [2]. ; Value of the data • The data provide the first overview of monitoring and evaluation (M&E) practices carried out by a selection European member states and regions, under 3 European environmental policies (the Water Framework Directive, the Natura 2000 network of protected areas, and Agri-Environment Schemes under the Common Agricultural Policy). • The data permit comparison across cases as well as across policies, and so provide a baseline for comparative studies. • The source of information used to describe monitoring in each case are provided, thus providing a baseline for researchers seeking more in-depth analyses. ; The data presented in this DiB article provide an overview of Monitoring and Evaluation (M&E) carried out for 3 European environmental policies (the Water Framework Directive, the Natura 2000 network of protected areas, and Agri-Environment Schemes implemented under the Common Agricultural Policy), as implemented in 9 cases (Catalonia (Spain), Estonia, Finland, Flanders (Belgium), Hungary, Romania, Slovakia, Scotland (UK), Sweden). These data are derived from reports and documents about monitoring programs that were publicly-available online in 2017. The literature on M&E to support adaptive management structured the issues that have been extracted and summarized. The data is related to the research article entitled "Policy-driven monitoring and evaluation: does it support adaptive management of socio-ecological systems?" [Stem et al., 2005]. The information provides a first overview of monitoring and evaluation that has been implemented in response to key European environmental policies. It provides a structured overview that permits a comparison of cases and policies and can assist other scholars and practitioners working on monitoring and evaluation.
The number of collaborative initiatives between scientists and volunteers (i.e., citizen science) is increasing across many research fields. The promise of societal transformation together with scientific breakthroughs contributes to the current popularity of citizen science (CS) in the policy domain. We examined the transformative capacity of citizen science in particular learning through environmental CS as conservation tool. We reviewed the CS and social-learning literature and examined 14 conservation projects across Europe that involved collaborative CS. We also developed a template that can be used to explore learning arrangements (i.e., learning events and materials) in CS projects and to explain how the desired outcomes can be achieved through CS learning. We found that recent studies aiming to define CS for analytical purposes often fail to improve the conceptual clarity of CS; CS programs may have transformative potential, especially for the development of individual skills, but such transformation is not necessarily occurring at the organizational and institutional levels; empirical evidence on simple learning outcomes, but the assertion of transformative effects of CS learning is often based on assumptions rather than empirical observation; and it is unanimous that learning in CS is considered important, but in practice it often goes unreported or unevaluated. In conclusion, we point to the need for reliable and transparent measurement of transformative effects for democratization of knowledge production.
