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- Alkan Olsson, Johanna, et al.
(författare)
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A goal oriented indicator framework to support integrated assessment of new policies for agri-environmental systems
- 2009
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Ingår i: Environmental Science and Policy. - : Elsevier BV. - 1462-9011. ; 12:5, s. 562-572
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Tidskriftsartikel (refereegranskat)abstract
- The goal oriented framework (GOF) for indicators has been developed as part of a comprehensive research project developing computerised tools for integrated assessment of the effects of new policies or technologies on agricultural systems (SEAMLESS-IF). The ambition has therefore been to create an indicator framework where the environmental, economic and social dimensions of sustainable development can be related to each other in a consistent way. Integrated assessment tools rely on such frameworks to capture and visualise trade-offs (antagonisms or synergies) among indicators between and within the three dimensions of sustainable development. The specific aims of this paper are to (i) present the GOF (ii) present how the GOF can be used to select indicators within the integrated assessment framework SEAMLESS-IF and (iii) discuss the advantages and limitations with the proposed approach. We show that the GOF has several advantages. Its major rewards are its relative simplicity and the possibility to link indicators to policy goals of each dimension of sustainability and thereby facilitate the comparison of the impacts of the new policy on the different dimensions. Another important feature of the GOF is its multi-scale perspective, which will enable the comparison of effects of a new policy between scales. Yet, as typical for all indicator frameworks, the GOF has also biases either instigated by the issues the included models cover or by the stakeholders' selection of indicators. However, due to the way the GOF and its indicators are technically implemented in SEAMLESS-IF, it can easily be extended and include new indicators to increase and update its policy relevance. (C) 2009 Elsevier Ltd. All rights reserved.
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| 2. |
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| 3. |
- Armah, Frederick Ato, et al.
(författare)
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The Gap between Theory and Practice of Stakeholder Participation : The Case of Management of The Korle Lagoon, Ghana
- 2009
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Ingår i: LEAD Journal. - 1746-5893. ; 5:1, s. 73-89
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Tidskriftsartikel (refereegranskat)abstract
- Participation of stakeholders at the local level is evolving as a mechanism to address complex environmental problems, not least water pollution. Participation has been used as a tool for the economic and social empowerment of settlements within the catchment of the Korle lagoon in Ghana, particularly residents of the Old Fadama community that live in proximity to the lagoon. Using direct observations and survey of stakeholder groups, the paper examines the structure and process of participation of stakeholders in Korle lagoon resource use and water policy formulation and implementation with regard to Korle Lagoon Ecological Restoration Project (KLERP). The results show that exclusion of stakeholders generates conflict and antagonism which hinders the implementation of water resource policy. Alliances of stakeholders in the participatory process have served as pressure points compelling government to negotiate with civil society on behalf of the community. In theory, participation holds promise to address conflict, however in practice, a number of factors that feed into conflict characterise the process of participation in this case, such as ineffective information flow in the community, agency-structure dynamics, historical antecedents among the ethnic groups and low-levels of communication. These gaps jointly undermine the full participation of the Old Fadama community in lagoon management.
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| 4. |
- Ewert, Frank, et al.
(författare)
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A methodology for enhanced flexibility of integrated assessment in agriculture
- 2009
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Ingår i: Environmental Science and Policy. - : Elsevier BV. - 1462-9011. ; 12:5, s. 546-561
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Tidskriftsartikel (refereegranskat)abstract
- Agriculture is interrelated with the socio-economic and natural environment and faces increasingly the problem of managing its multiple functions in a sustainable way. Growing emphasis is on adequate policies that can support both agriculture and sustainable development. Integrated Assessment and Modelling (IAM) can provide insight into the potential impacts of policy changes. An increasing number of Integrated Assessment (IA) models are being developed, but these are mainly monolithic and are targeted to answer specific problems. Approaches that allow flexible IA for a range of issues and functions are scarce. Recently, a methodology for policy support in agriculture has been developed that attempts to overcome some of the limitations of earlier IA models. The proposed framework (SEAMLESS-IF) integrates relationships and processes across disciplines and scales and combines quantitative analysis with qualitative judgments and experiences. It builds on the concept of systems analysis and attempts to enable flexible coupling of models and tools. The present paper aims to describe progress in improving flexibility of IAM achieved with the methodology developed for SEAMLESS-IF. A brief literature review identifying limitations in the flexibility of IAM is followed by a description of the progress achieved with SEAMLESS-IF. Two example applications are used to illustrate relevant capabilities of SEAMLESS-IF. The examples refer to (i) the impacts on European agriculture of changes in world trade regulations and (ii) regional impacts of the EU Nitrates Directive in combination with agro-management changes. We show that improving the flexibility of IAM requires flexibility in model linking but also a generic set up of all IA steps. This includes problem and scenario definition, the selection and specification of indicators and the indicator framework, the structuring of the database, and the visualization of results. Very important is the flexibility to integrate, select and link models, data and indicators depending on the application. Technical coupling and reusability of model components is greatly improved through adequate software architecture (SEAMLESS-IF uses OpenMI). The use of ontology strongly supports conceptual consistency of model linkages. However, the scientific basis for linking models across disciplines and scales is still weak and requires specific attention in future research. We conclude that the proposed framework significantly advances flexibility in IAM and that it is a good basis to further improve integrated modelling for policy impact assessment in agriculture. (C) 2009 Elsevier Ltd. All rights reserved.
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| 5. |
- Janssen, S., et al.
(författare)
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Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling
- 2009
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Ingår i: Environmental Modelling & Software. - : Elsevier BV. - 1873-6726 .- 1364-8152. ; 24:12, s. 1491-1500
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Konferensbidrag (refereegranskat)abstract
- Integrated Assessment and Modelling (IAM) provides an interdisciplinary approach to support ex-ante decision-making by combining quantitative models representing different systems and scales into a framework for integrated assessment. Scenarios in IAM are developed in the interaction between scientists and stakeholders to explore possible pathways of future development. As IAM typically combines models from different disciplines, there is a clear need for a consistent definition and implementation of scenarios across models, policy problems and scales. This paper presents such a unified conceptualization for scenario and assessment projects. We demonstrate the use of common ontologies in building this unified conceptualization, e.g. a common ontology on assessment projects and scenarios. The common ontology and the process of ontology engineering are used in a case study, which refers to the development of SEAMLESS-IF, an integrated modelling framework to assess agricultural and environmental policy options as to their contribution to sustainable development. The presented common ontology on assessment projects and scenarios can be reused by IAM consortia and if required, adapted by using the process of ontology engineering as proposed in this paper. (C) 2009 Elsevier Ltd. All rights reserved.
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| 7. |
- Therond, Olivier, et al.
(författare)
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Methodology to translate policy assessment problems into scenarios: the example of the SEAMLESS integrated framework
- 2009
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Ingår i: Environmental Science and Policy. - : Elsevier BV. - 1462-9011. ; 12:5, s. 619-630
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Tidskriftsartikel (refereegranskat)abstract
- Scenario-based approaches in environmental and policy assessment studies are increasingly applied within integrated assessment and modelling frameworks. The SEAMLESS project develops such an integrated framework (SEAMLESS-IF) aiming to assess, ex-ante, impacts of alternative agro-environmental policies on the sustainability of agricultural systems. A particular challenge in this context is the consistent translation of a wide range of policy questions into scenarios that a modelling framework can assess. The present work defines a methodology for scenario-development in integrated policy assessment with specific emphasis on SEAMLESS-IF. After a general overview on scenario concepts for integrated policy assessment the adopted scenario concept and its development procedure is presented. They allow building integrated scenarios capturing the range of drivers of the assessed agricultural system in a consistent way across temporal and spatial scales. Then focus is on the particular procedures to translate the policy assessment questions into scenario parameters and to implement these parameters into SEAMLESS-IF. Two examples targeted at European and regional level combining integrated assessments of policy changes and technological innovations are considered to illustrate the SEAMLESS scenario concept. We conclude that the proposed methodology to translate policy assessment problems into scenarios effectively supports integrated assessment in SEAMLESS-IF or even in other modelling frameworks. (C) 2009 Elsevier Ltd. All rights reserved.
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