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Shifting societal needs drive and shape landscapes and the provision of their services. This paper presents a modelling approach to visualize the regional spatial and temporal dynamics in landscape service supply as a function of changing landscapes and societal demand. This changing demand can result from different policy targets. In this paper we conceptualise the system in which these dynamics take place by explicitly addressing (i) the multifunctional character of a landscape, (ii) the different spatial levels at which interactions between landscape service supply, demand, and land management occur, and (iii) trade-offs in service supply as a result of land management actions. Next, we translate the resulting conceptual framework into an operational model. As a demonstration, this model is applied to simulate changes in landscape service supply driven by regional policies in a rural region of the Netherlands. This application demonstrates potential trade-offs, which emerge in a spatially explicit way in the region over time. It illustrates the potential relevance of modelling landscape service dynamics for environmental management and decision making. [Copyright &y& Elsevier]

Abstract The way in which research-based knowledge is used, interpreted and communicated by different actors can influence the dynamics of conservation conflicts. The conflict that occurs between grouse shooting interests and the conservation of birds of prey in Scotland is notoriously complex, involving multiple actors at multiple levels, and shaped by the values and world views of these actors. This paper explores how research-based knowledge is used in the debate by six key organisations, and looks to understand the drivers that may influence knowledge use and interpretation in this, and other, cases of conservation conflict. Research was used to both legitimise and reinforce certain world views, and to support associated political actions that would cause these to become reality. Actors offered divergent interpretations of the same piece of research, emphasising different findings and outcomes. Research-based knowledge was thus employed by actors to support or counter the 'status quo', and challenge other claims that clashed with their own values. Although the intention of such knowledge use is unclear, the selective reconstruction of research by actors could stem from, and reiterate, divergent value systems. This may pose significant challenges to conflict mitigation efforts; whilst some may look to research-based knowledge as the bringer of truth, its interpretation by different actors may exacerbate existing rifts between stakeholders; promoting polarisation of views. Mitigation strategies should be sensitive to this, and aim to improve the inclusiveness and transparency of the knowledge transfer process. Highlights • Research-based knowledge has an important role in conservation conflicts. • Analysis showed evidence of conceptual and strategic knowledge use. • Research was used to legitimise or challenge the 'status quo'. • Interpretation of research-based knowledge could reflect and reinforce different value systems. • Knowledge use can promote polarisation of views between stakeholder groups. [ABSTRACT FROM AUTHOR]

Urgent environmental issues are testing the limits of current management approaches and pushing demand for innovative approaches that integrate across traditional disciplinary boundaries. Practitioners, scholars, and policy-makers alike call for increased integration of natural and social sciences to develop new approaches that address the range of ecological and societal impacts of modern environmental issues. From a theoretical perspective, social-ecological systems (SES) science offers a compelling approach for improved environmental management through the application of transdisciplinary and resilience concepts. A framework for translating SES theory into practice, however, is lacking. In this paper, we define the key components of an SES-based environmental management approach. We offer recommendations for integrating an SES approach into existing environmental management practices. Results presented are useful for management professionals that seek to employ an SES environmental management approach and scholars aiming to advance the theoretical foundations of SES science for practical application. [ABSTRACT FROM AUTHOR]

There are many, often competing, options for Sustainable Land Management (SLM). Each must be assessed – and sometimes negotiated – prior to implementation. Participatory, multi-stakeholder approaches to identification and selection of SLM options are increasingly popular, often motivated by social learning and empowerment goals. Yet there are few practical tools for facilitating processes in which land managers may share, select, and decide on the most appropriate SLM options. The research presented here aims to close the gap between the theory and the practice of stakeholder participation/learning in SLM decision-making processes. The paper describes a three-part participatory methodology for selecting SLM options that was tested in 14 desertification-prone study sites within the EU-DESIRE project. Cross-site analysis and in-depth evaluation of the Moroccan and Portuguese sites were used to evaluate how well the proposed process facilitated stakeholder learning and selection of appropriate SLM options for local implementation. The structured nature of the process – starting with SLM goal setting – was found to facilitate mutual understanding and collaboration between stakeholders. The deliberation process led to a high degree of consensus over the outcome and, though not an initial aim, it fostered social learning in many cases. This solution-oriented methodology is applicable in a wide range of contexts and may be implemented with limited time and resources. [Copyright &y& Elsevier]

Current international research focuses on topics like sustainable development, regional planning, environmental decision making and implementation, biodiversity conservation plus a number of other relevant issues, especially at times of economic crisis as today. Economic growth and environmental protection can go hand in hand, provided that decision makers develop and use tools and insights targeting in the implementation of successful and robust long term policies. This paper was developed in the framework of a European research project and implements a Multicriteria Mathematical Programming model that optimises the sustainable management of agricultural regions taking in account the available resources (land, labour, capital) and environmental parameters (agrochemicals, water consumption). The model achieves the optimum farm plan in the area combining different criteria to a utility function under a set of constraints and the spatial integration of the vulnerability maps of the regions into the model enables the regional authorities to design policies for the optimal agricultural development and the groundwater protection from the agricultural land uses. Furthermore, the model is used to simulate different scenarios and policies by the local stakeholders, due to changes on different social, economic and environmental parameters. In this way the decision makers can achieve alternative farm plans and agricultural land uses as well as to estimate economic, social and environmental impacts of different policies. The model has been applied to an agricultural region in Northern Greece and proved to be a valuable tool in the implementation of environmental policies and actions, especially in agricultural regions in a delicate balance as the study area. [Copyright &y& Elsevier]