Ecosystem services, Governance, Peri-urban landscapes, Trade-offs, Urban open spaces

One of the main drivers of peri-urbanization processes is the need for improving the quality of life of urban dwellers, by providing accessible and diverse cultural ecosystem services (CES). Thus a frequent ecosystem services (ES) trade-off emerges in peri-urban contexts between the need of protecting of green areas or protecting of food production areas and providing to urban inhabitants the good accessibility to CES to increase their quality of life. In our research, we will focus on neglected urban open spaces (NUOS) as potential CES provisioning areas located in the vicinity of urban inhabitants CES. We define these spaces to comprise as abandoned green spaces (e.g. unused parks, playgrounds or other green spaces without clear land use), brown-fields, vacant spaces, non-developed built areas, fully or partially sealed areas. Our study aims to provide a quantitative approach to detect NUOS which has a high potential to provide CES and are located in the peri-urban landscapes, close to the settlements with the high CES demand. We focus on those areas which are publically owned and therefore they have a higher potential to be easily transformed and to increase their potential to provide CES. The research is implemented in the sample of peri-urban landscape located in the vicinity of Ostrava city, Czech Republic. To fulfil the research aims we propose a quantitative methodology based on spatially explicit indicators (technomass, Normalized Difference Vegetation Index, , ES Deficit Factor) and calculation of the accessibility over the road network. The calculations are provided for the hexagonal cells, distributed in the form of a grid over the case study area. By a combination of the indicators, the method allows delimitating hexagons, which fulfil the criteria of NUOS. For further governance, interventions are chosen these publically owned NUOs located in close accessibility from ES deficit areas. The research method creates an analytical governance approach us