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Bridging Biodiversity Conservation Objectives with Landscape Planning Through Green Infrastructures: A Case Study from Sardinia, Italy

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10409))

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Abstract

The definition of Green Infrastructure (GI) provided by the European Commission in its 2013 Communication “Green Infrastructure: Enhancing Europe’s Natural Capital” regards GI as a network having the Natura 2000 sites at its core, able of delivering numerous ecosystem services, and “strategically planned”, stressing the importance of GI in integrating ecological connectivity, biodiversity conservation, and multi-functionality of ecosystems. Consequently, the spatial identification and management of GI is an important issue in planning, and especially in landscape planning as understood in the European Landscape Convention.

Building on a previous work by Arcidiacono et al. (2016), this paper tests a methodology whereby the spatial configuration of a GI is identified in relation to four aspects (conservation value, natural value, recreation value, anthropic heritage) which summarize the multifaceted character of landscape. The methodology is tested in the Italian region of Sardinia, by applying it in the coastal landscape units defined in the Regional Landscape Plan currently in force which overlap the metropolitan area of Cagliari.

We argue that this methodology can effectively help integrate biodiversity conservation objectives into spatial planning by implementing article 10 of the Habitats Directive, stating that relevant features of the landscape should be managed so as to improve the ecological coherence of the Natura 2000 network.

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Notes

  1. 1.

    http://natura2000.eea.europa.eu.

  2. 2.

    InVEST is a free software program developed within the Natural Capital Project and available at http://www.naturalcapitalproject.org/invest/.

  3. 3.

    CORINE is acronym of “COoRdination de l’INformation sur l’Environnement”, French for “Coordination of information concerning the environment”.

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Acknowledgments

This study was supported by the Research Program “Natura 2000: Assessment of management plans and definition of ecological corridors as a complex network,” funded by the Autonomous Region of Sardinia for the period 2015–2018, under the Call for “Projects related to fundamental or basic research” of the year 2013, implemented at the Department of Civil and Environmental Engineering and Architecture (DICAAR) of the University of Cagliari, Italy.

This paper is to be equally attributed to Sabrina Lai and Federica Leone, who collaboratively designed the paper and jointly wrote Sects. 1 and 5. Federica Leone has written Sect. 2, while Sabrina Lai has written Sects. 3 and 4.

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Authors and Affiliations

  1. Dipartimento di Ingegneria Civile, Ambientale e Architettura (DICAAR), University of Cagliari, Cagliari, Italy

    Sabrina Lai & Federica Leone

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  1. Sabrina Lai
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  2. Federica Leone
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Correspondence to Sabrina Lai .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Lai, S., Leone, F. (2017). Bridging Biodiversity Conservation Objectives with Landscape Planning Through Green Infrastructures: A Case Study from Sardinia, Italy. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_32

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