Biophysical and economic assessment of four ecosystem services for natural capital accounting in Italy

A. Capriolo, R.G. Boschetto, R.A. Mascolo, S. Balbi and F. Villa

Ecosystem Services, 2020, vol. 46, issue C

Abstract: We present methods and results of country-based natural capital assessments for four ecosystem services (ES) in Italy. The spatial mapping and the assessment have been carried out in both physical and monetary terms for (i) crop pollination, (ii) outdoor recreation, (iii) flood regulation (iv) and water provision, using the ARIES (Artificial Intelligence for Ecosystem Services) technology, which provides and integrates the necessary data and models. Extent, supply and use accounting tables have been developed for the same ecosystem services in line with the United Nations System of Environmental Economic Accounting (UN-SEEA) guidelines and Experimental Ecosystem Accounting (EEA) initiative. This work represents a first official and nationwide assessment of ecosystem services for the Italian Government in accomplishment of the Italian law n. 221/2015, applying a variety of different models and economic valuation methods to provide systematic and replicable information on natural capital through national accounting tables. We find that land management and maintenance of the countryside and forestland, which represent the typical Italian landscape, are fundamental. Our application also identifies several modelling challenges that need to be addressed before a methodological path for integrated ecosystem and economic accounting may be considered rigorous and reliable.

Keywords: Ecosystem Service; Natural Capital Account; Artificial Intelligence; Outdoor Recreation; Pollination; Flood Control; Water Provision; ARIES (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecoser:v:46:y:2020:i:c:s2212041620301492

DOI: 10.1016/j.ecoser.2020.101207

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