Urban–rural ecological networks for landscape planning |
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Institution: | 1. Dipartimento di Agraria, University of Sassari, Italy;2. LaSalle Investment Management, One Curzon Street, London, UK;3. Dipartimento di Scienze della Natura e del Territorio, University of Sassari, Italy;4. Dipartimento di Agraria, Mediterranea University of Reggio Calabria, Italy;1. Department of Urban and Regional Planning, Daegu University, 201, Daegudae-ro, Gyeongsan-si, Gyengsangbuk-do 712-714, Republic of Korea;2. Department of Urban Planning and Real Estate, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Republic of Korea;1. University of Debrecen, Department of Ecology, Egyetem sq. 1, Debrecen H-4032, Hungary;2. University of Debrecen, Department of Physical Geography and Geoinformatics, Egyetem sq. 1, Debrecen H-4032, Hungary;3. MTA-DE Biodiversity and Ecosystem Services Research Group, Egyetem sq. 1, Debrecen H-4032, Hungary;1. School of BioSciences, University of Melbourne, VIC 3010, Australia;2. Sustainability Research Centre, University of the Sunshine Coast, Australia;3. Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden;4. Natural Resources Defense Council, San Francisco, CA, United States |
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Abstract: | Urban–rural landscape planning research is nowadays focusing on strategies and tools that support practitioners to design local areas where human and natural pressures interfere. A prominent framework is provided by ecological network studies, whose design regards the combination of a set of green areas and patches (nodes) interconnected through environmental corridors (edges). Ecological networks are key for biodiversity protection and enhancement, as they are able to counteract fragmentation, and to create and strengthen relations and exchanges among otherwise isolated elements. Biodiversity evolution, indeed, depends on the quantity and quality of spatial cohesion of natural areas. In this paper, we propose a methodological framework based on network modelling for the study and modelling of ecological networks. We use network properties and centrality measures (degree, clustering coefficient, and betweenness centrality) and take into account the intensity of the dispersal capacity by introducing the corresponding weighted centrality measures. We simulate the dynamics of ecological networks by monitoring the residual dispersal capacity and the number of connected components from three perspectives: random attacks, deterministic attacks according to decreasing betweenness centrality and influence of master plans. We demonstrate that spatial network analysis is useful to monitor the performance of ecological networks and support decision-making, management, and planning.The proposed methodology is applied to the case study of the peri-urban and urban areas of the town of Nuoro (Italy). Patches (nodes) have been selected among the ecosystems with target vegetal species Holm oak and cultivated and wild Olive while the connecting corridors (links) enable for seed dispersal. |
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Keywords: | Peri-urban areas Ecological network Spatial network analysis Landscape planning Spatial resilience analysis Planning support |
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