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Ruiu, L.M.; Maurizi, S.; Sassu, S.; Seddaiu, G.; Zuin, O.; Blackmore, C.; Roggero, P.P. |
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Title |
Re-Staging La Rasgioni: lessons learned from transforming a traditional form of conflict resolution to engage stakeholders in agricultural water governance |
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Journal Article |
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Year |
2017 |
Publication |
Water |
Abbreviated Journal |
Water |
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9 |
Issue |
4 |
Pages |
297 |
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Keywords |
co-researching; dairy farming; ecosystem perception; systemic governance; governance learning; irrigation; knowledge co-production; nitrate pollution; social learning; stakeholders; theatre |
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Abstract |
This paper presents an informal process inspired by a public practice of conflict mediation used until a few decades ago in Gallura (NE Sardinia, Italy), named La Rasgioni (The Reason). The aim is twofold: (i) to introduce an innovative method that translates the complexity of water-related conflicts into a “dialogical tool”, aimed at enhancing social learning by adopting theatrical techniques; and (ii) to report the outcomes that emerged from the application of this method in Arborea, the main dairy cattle district and the only nitrate-vulnerable zone in Sardinia, to mediate contrasting positions between local entrepreneurs and representatives of the relevant institutions. We discuss our results in the light of four pillars, adopted as research lenses in the International research Project CADWAGO (Climate Change Adaptation and Water Governance), which consider the specific “social–ecological” components of the Arborea system, climate change adaptability in water governance institutions and organizations, systemic governance (relational) practices, and governance learning. The combination of the four CADWAGO pillars and La Rasgioni created an innovative dialogical space that enabled stakeholders and researchers to collectively identify barriers and opportunities for effective governance practices. Potential wider implications and applications of La Rasgioni process are also discussed in the paper. |
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2017-04-24 |
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2073-4441 |
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CropM, LiveM, ft_macsur |
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yes |
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MA @ admin @ |
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4944 |
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Blanco-Penedo et al. |
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Data driven dairy decision for farmers |
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2016 |
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FACCE MACSUR Reports |
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8 |
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SP8-2 |
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4855 |
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Jancic, M. |
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Title |
Climate change adaptation in maize production in Serbia |
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2016 |
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FACCE MACSUR Reports |
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9 C6 - |
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Sp9-3 |
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Climate change is noticed and well established phenomenon, described as change in the statistical properties of the climate system, considered over long period of time, regardless of cause (Houghton, 1996). This change has been monitored on global (Rosenzweig et al., 1994; Harrison et al., 1995; Wolf et al., 1995; Watson et al., 1996; Downing et al., 2000; Sathaye et al., 1997; Sirotenko et al., 1997) and regional scale (Alexandrov et al., 2002; Lalic et al., 2012; Vučetić, 2011) by researchers, organizations and part of various programmes (IPCC, UNESCO Climate Change Initiative). In a same time, it was analysed change in agroclimatic indices, soil and water balance, crop development and yield, that quantify climate change impact on agricultural production. In recent regional studies and research projects (COST 734, 2008; ADAGIO, 2009), it was estimated and quantified climate change impact on yield and development in crop production of Central and Eastern European countries and Mediterranean region. The research showed a decrease in yield in several major crops, important in national food production and part of economy. A high variability in yield from year to year and decrease in yield was showed for most cereals. |
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4856 |
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Reidsma, P.; Bakker, M.M.; Kanellopoulos, A.; Alam, S.J.; Paas, W.; Kros, J.; W. de Vries, W. |
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Impacts of climate and socio-economic change at farm and landscape level in the Netherlands: climate smart agriculture |
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2015 |
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Climate-smart agriculture 2015. Global Science Conference. Montpellier, France, 2015-03-15 to 2015-03-18 |
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MA @ admin @ |
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2745 |
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Rocca, A.; Bellocchi, G.; Giussani, A.; Sanna, M.; Perego, A.; Fumagalli, M.; Carozzi, M.; Chiodini, M.; Bregaglio, S.; Confalonieri, R.; Acutis, M. |
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Correlation between evaluation model indicators |
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2013 |
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XVI National congress of Agrometeorology. Firenze, Italy, 2013-06-04 to 2013-06-06 |
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MA @ admin @ |
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2748 |
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