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Unlabelled: European agri-food systems must overcome structural lock-ins to achieve more sustainable modes of production and consumption. Yet European regions are highly diverse, and we lack understanding of how different regional characteristics may enable or inhibit sustainability transitions. This hinders the development of context-tailored governance strategies. In this paper, we identify and apply sets of spatial indicators to map the regional potentials for agri-food transitions. We first analyse the strength of lock-in to the incumbent agro-industrial paradigm. We then map the enabling environments for two alternative agri-food networks-multifunctional value chains and civic food networks-that each embed distinct social-ecological qualities of agriculture and food. Results demonstrate a large spatial diversity in transition potential, with stronger lock-ins throughout North and Western Europe and stronger enabling environments for agri-food transitions in Italy, France, Switzerland, and Southwest Germany. We find that lock-ins are strongest in livestock-dominated regions and are associated with higher GHG emissions and excess nitrogen levels. Our study demonstrates the need for coordinated public policies that (1) leverage region-specific transition potentials and (2) enable complementary innovations in market-based and community-led networks.
Supplementary Information: The online version contains supplementary material available at 10.1007/s11625-024-01480-y.
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http://dx.doi.org/10.1007/s11625-024-01480-y | DOI Listing |
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Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
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The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People's Republic of China.
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Center for Applied Genetic Technologies, University of Georgia, Athens, GA, United States.
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Department of Work and Social Psychology, Fontys University of Applied Sciences, Eindhoven, Netherlands.
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View Article and Find Full Text PDFIEEE Nanotechnol Mater Devices Conf
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D. Keith Roper is with Utah State University, Logan, UT 84322 USA.
Nanoparticle labels enable colorimetric point-of-care devices for rapid, low-cost diagnosis and health monitoring. Accurate interpretation of colorimetric assays relies on reliable perception of differences in quantitative color attributes such as hue, chromaticity, and saturation. This study examined interactions between physical factors such as nanoparticle shape, illumination, and sample environment, and biological factors affecting color vision deficit and optical signal processing that influenced perceived color difference.
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