Ecosystem Services Along the Urban-Rural-Natural Gradient: An Approach for a Wide Area Assessment and Mapping
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Titre | Ecosystem Services Along the Urban-Rural-Natural Gradient: An Approach for a Wide Area Assessment and Mapping |
Type de publication | Conference Paper |
Year of Publication | 2015 |
Auteurs | Vizzari M, Antognelli S, Hilal M, Sigura M, Joly D |
Editor | Gervasi O, Murgante B, Misra S, Gavrilova ML, Rocha AMAC, Torre C, Taniar D, Apduhan BO |
Conference Name | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT III |
Publisher | Univ Calgary; Univ Perugia; Univ Basilicata; Monash Univ; Kyushu Sangyo Univ; Univ Minho |
Conference Location | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
ISBN Number | 978-3-319-21470-2; 978-3-319-21469-6 |
Mots-clés | Ecosystem services mapping, Kernel density estimation, LULC gradients, principal component analysis, Urban-rural-natural gradient |
Résumé | Landscapes can be viewed as a continuum and studied using spatial gradients along which environmental modifications determine the structural and functional components of ecosystems. The analysis and quantification of Ecosystem Services, intended as the benefits people obtain from ecosystems, play a crucial role in sustainable landscape planning. In this framework we developed a novel method for the identification and characterization of the landscapes nested along the urban-rural-natural gradient and the analysis of potential ES supply and demand within said landscapes. The Kernel Density Estimation technique was applied to calculate continuous intensity indicators associated with urbanization, agriculture, and natural elements, considered as key components of the gradient. The potential ES demand and supply within each landscape area were assessed using expert-knowledge based indices associated to the LULC CORINE classes. Results showed a complex organization of ``pillar'' and transitional landscapes along the gradient, which match different bundles of ES demand and supply. |
DOI | 10.1007/978-3-319-21470-2_54 |