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König, H. J., Helming, K., Seddaiu, G., Kipling, R., Köchy, M., Graversgaard, M., et al. Stakeholder participation in agricultural research: Who should be involved, why, and how?.
Abstract: Research in sustainable agricultural management requires appropriate participatory processes and tools enabling efficient dialogue and cooperation to allow researchers and stakeholders to co-produce knowledge. Research approaches that encourage stakeholder participation are in high demand because they allow a better understanding of human-nature interactions and interdependencies between actors. Participatory approaches also support multiple goals of agricultural management: improved productivity, food security, climate change adaptation, environmental conservation, rural development and policy decision making. Approaches to stakeholder engagement in the field of agricultural management research are manifold. Therefore, selecting the “right” approach depends on the specific purpose and contextualized issues at stake. We analyzed ten stakeholder approaches and propose a new framework with which to identify and select appropriate approaches for stakeholder engagement. The framework consists of three components: whom to engage (i.e., stakeholder type and mandate), why to engage (i.e., research purpose: consult, inform, collaborate), and how to engage (i.e., different methodological approaches). We identified different stakeholder groups (who?): farmers, agricultural actors, land users, and policymakers; different purposes (why?): facilitate engagement process, inform stakeholders, and obtain stakeholder perceptions; and different types of engagement methods (how?): participatory field experiments, desk simulations, interviews, panel discussions and different types of workshops. The framework was applied to arrange these approaches, organize them to improve understanding of their main strengths, weaknesses and supports for identifying and selecting an appropriate approach. We conclude that understanding the different facets of available approaches is crucial for selecting an appropriate stakeholder engagement approach. ;
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Helming, K. (2014). Impact Assessment for Multifunctional Land Use. In L. Mueller, A. Saparov, & G. Lischeid (Eds.), (pp. 223–234). Environmental Science and Engineering. Cham: Springer International Publishing.
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Helming, K., & Janssen, S. (2014). LIAISE – Linking Impact Assessment instruments with sustainability expertise. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Impact Assessment for Sustainable Development: Knowledge Systems for the Future The ex ante Impact Asssessment of planned policies has developed as an important part of policy making within the European institutions as well as in Member States. The analysis of expected economic, social and environmental impacts informs the decision making. Collecting relevant and trustworthy evidence is a challenge for policy decisions. At the same time, Impact Assessment is an opportunity for researchers, research organisations and funding agencies to develop knowledge relevant for societal decision making.As a European research consortium LIAISE investigated over the past 4.5 years the Impact Assessment (IA) practices in relation to Sustainable Development (SD). Specific attention was given to the question how the process of IA in various venues (i.e. nation states, supra national organizations and local organizations) is related to the processes of research and knowledge production.
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Helming, K., Podhora, A., & König, H. (2014). Policy impact assessment – a venue for the science policy interface. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Policy making aims to align agricultural production with multifunctional services such as environmental conservation, rural development, and economic competitiveness. Policies counteract or reinforce external driving forces such as climate change, global economic developments, demography, consumption patterns. They considerably affect decision making of farmers. Because of the interaction and non-linear feedback loops with socio-economic and geophysical processes of the land use systems, policies are difficult to design, and their impacts are difficult to anticipate. The policy making community articulates an emerging demand for science based evidence in support of the policy process. Ex-ante impact assessment of policy making provides the legal basis to fuel scientific evidence into the policy process. For researchers, impact assessment is a means to structure the analysis of human-environment interactions. For policy makers, impact assessment is a means to better target policy decisions towards sustainable development. The integration of both requires a mutual understanding of the respective objectives and operational restrictions within the scientific and policy-making domains. This paper provides insight into the process of policy impact assessment and how research based methods and tools can best feed into it. Three aspects are outlined: the co-design of the assessment between policy makers and researchers; the integration of quantitative analysis with participatory valuation methods; and the robustness and transparency of the analytical methods.
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Mueller, L., Schindler, U., Shepherd, T. G., Ball, B. C., Smolentseva, E., Hu, C., et al. (2012). A framework for assessing agricultural soil quality on a global scale. Archives of Agronomy and Soil Science, 58(sup1), S76–S82.
Abstract: This paper provides information about a novel approach of rating agricultural soil quality (SQ) and crop yield potentials consistently over a range of spatial scales. The Muencheberg Soil Quality Rating is an indicator-based straightforward overall assessment method of agricultural SQ. It is a framework covering aspects of soil texture, structure, topography and climate which is based on 8 basic indicators and more than 12 hazard indicators. Ratings are performed by visual methods of soil evaluation. A field manual is then used to provide ratings from tables based on indicator thresholds. Finally, overall rating scores are given, ranging from 0 (worst) to 100 (best) to characterise crop yield potentials. The current approach is valid for grassland and cropland. Field tests in several countries confirmed the practicability and reliability of the method. At field scale, soil structure is a crucial, management induced criterion of agricultural SQ. At the global scale, climate controlled hazard indicators of drought risk and soil thermal regime are crucial for SQ and crop yield potentials. Final rating scores are well correlated with crop yields. We conclude that this system could be evolved for ranking and controlling agricultural SQ on a global scale.
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