Analysis of Bundles and Drivers of Change of Multiple Ecosystem Services in an Alpine Region

Marika Ferrari, Davide Geneletti (), Luis Cayuela (), Francesco Orsi () and Jose María Rey Benayas ()
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Marika Ferrari: Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy
Davide Geneletti: Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy
Luis Cayuela: Departamento de Ciencias, Universidad Rey Juan Carlos, Departamentel I, Despacho 231, 28933 Móstoles, Madrid, Spain
Francesco Orsi: Department of Geography, Kansas State University, 118 Seaton Hall, Manhattan, KS 66506-2900, USA
Jose María Rey Benayas: Unidad Docente de Ecología Grupo de Investigación, “Ecología y Restauración Forestal”, Departmento de Ciencias de la Vida, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain

Journal of Environmental Assessment Policy and Management (JEAPM), 2016, vol. 18, issue 04, 1-26

Abstract: Approaches based on the concept of ecosystem services need analyses of the sets of spatially correlated services (i.e. bundles) and of the external factors that modify the ecosystem service supply (i.e. drivers of change). At present, appropriate methods to analyse bundles and drivers of change are still under development. This study proposes a method based on a combination of spatial and statistical analyses to define bundles and to explain the drivers of change of 24 ecosystem services in Trentino, an Alpine region of Italy. Results show that multiple services can be grouped in a few number of bundles with a complex shape. When mapping multiple services across the territory, the spatial units of representation are a combination of the intrinsic units of representation of single ecosystem services and land use classes. Land use management was found as the external factor that causes the greatest variability of the ecosystem services distribution across the region.

Keywords: Ecosystem services; bundles; drivers of change; principal components; cluster analysis; Alpine region (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S1464333216500265

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