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| Author |
Kjeldsen, C. |
| Title |
An approach to sustainability management within partnerships between heterogeneous actors – example from a Danish water catchment, dominated by dairy farms |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-29 |
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In this paper we present an approach to sustainability management within partnerships between heterogenous actors. This multi-disciplinary approach is also relevant for the assessment of climate change adaptation and mitigation in the context of www.macsur.eu; and especially in areas with dairy farming hot-spots. Established approaches within this field such as Adaptive Co-Management and Social Learning focus on social-material interactions, feedback mechanisms, knowledge integration and institutional change as drivers in sustainable development. However, the role of micro-scale power dynamics as part of these processes have received less attention. In a case study of land-water management in a Danish water catchment, dominated by dairy farms, we analyze how dynamics of power within knowledge integration processes interacts with institutions at different scales. Thereby, we show ways in which power-knowledge dynamics shape development outcomes. Finally, we propose how increasing reflexivity of power-knowledge dynamics might contribute to institutional change and sustainable development. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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MA @ admin @ |
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2144 |
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König, H.J.; Helming, K.; Seddaiu, G.; Kipling, R.; Köchy, M.; Graversgaard, M.; van den Pol-van Dasselaar, A.; Nguyen, T.P.L.; Quaranta, G.; Salvia, R.; Sieber, S.; Ithes, S.; Kjeldsen, C.; Turner, K.G.; Dalgaard, T.; Roggero, P.P. |
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Stakeholder participation in agricultural research: Who should be involved, why, and how? |
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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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MA @ admin @ |
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2564 |
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Dalgaard, T.; Kjeldsen, C.; Meyer-Aurich, A.; Özkan, S.; Rolinski, S.; Köchy, M.; Olesen, J.E.; Brouwer, F.; van den Pol-van Dasselaar, A.; Kipling, R. |
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Farming systems models for regional scale impact assessment in Europe – case studies of N-losses and greenhouse gas emissions |
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Conference Article |
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2014 |
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LiveM |
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Scaling in global, regional and farm models, 2014-09-24 to 2014-09-24 |
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MA @ admin @ |
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2380 |
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