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Assessing Landscape Fragmentation: A Composite Indicator

Author

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  • Andrea De Montis

    (Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy)

  • Vittorio Serra

    (Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy)

  • Amedeo Ganciu

    (Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy)

  • Antonio Ledda

    (Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy)

Abstract

The assessment and management of landscape fragmentation (LF), i.e., the subdivision of the habitat into smaller and more isolated patches, can benefit from the adoption of a composite indicator explaining, in a unique measure, the various concerns involved. However, the use of composite indicators may be affected by lack of data, subjectivity in algorithm design, and oversimplification connected to reduction to just one index. In these cases, the findings obtained might not provide the researcher with reliable information. In this paper, we design and apply the Composite Indicator of Landscape Fragmentation (CILF), a metric resuming three indicators concerning the effect on LF of transport and mobility infrastructures, human settlements, and patch density per se. The application concerns the measurement of LF spatial pattern and dynamics from 2003 to 2008 of 51 landscape units in the island of Sardinia (Italy). We considered a complete spatial data set, chose the generalized geometric mean as aggregation algorithm, and verified its robustness via sensitivity analysis of the results. We found that, in 2003 and 2008, the CILF spatial pattern shows higher values in coastal areas and has varied randomly, i.e., without a consistent tendency to converge to, or diverge from, a mean value. Overall, we demonstrate that the CILF is a powerful instrument for monitoring LF in Sardinia and advocate that it can be further implemented, following the same methodological framework, by extending the pool of indicators considered and assessing a weighted version of the composite indicator.

Suggested Citation

  • Andrea De Montis & Vittorio Serra & Amedeo Ganciu & Antonio Ledda, 2020. "Assessing Landscape Fragmentation: A Composite Indicator," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9632-:d:447221
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    1. Ruiz, Francisco & El Gibari, Samira & Cabello, José M. & Gómez, Trinidad, 2020. "MRP-WSCI: Multiple reference point based weak and strong composite indicators," Omega, Elsevier, vol. 95(C).
    2. Mario Bunge, 1975. "What is a quality of life indicator?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 2(1), pages 65-79, June.
    3. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    4. Badea, Anca Costescu & Rocco S., Claudio M. & Tarantola, Stefano & Bolado, Ricardo, 2011. "Composite indicators for security of energy supply using ordered weighted averaging," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 651-662.
    5. Floridi, Matteo & Pagni, Simone & Falorni, Simone & Luzzati, Tommaso, 2011. "An exercise in composite indicators construction: Assessing the sustainability of Italian regions," Ecological Economics, Elsevier, vol. 70(8), pages 1440-1447, June.
    6. Abberger, Klaus & Graff, Michael & Siliverstovs, Boriss & Sturm, Jan-Egbert, 2018. "Using rule-based updating procedures to improve the performance of composite indicators," Economic Modelling, Elsevier, vol. 68(C), pages 127-144.
    7. Andrea De Montis, 2016. "Measuring the performance of planning: the conformance of Italian landscape planning practices with the European Landscape Convention," European Planning Studies, Taylor & Francis Journals, vol. 24(9), pages 1727-1745, September.
    8. Luzzati, T. & Gucciardi, G., 2015. "A non-simplistic approach to composite indicators and rankings: an illustration by comparing the sustainability of the EU Countries," Ecological Economics, Elsevier, vol. 113(C), pages 25-38.
    9. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    10. Attardi, Raffaele & Cerreta, Maria & Sannicandro, Valentina & Torre, Carmelo Maria, 2018. "Non-compensatory composite indicators for the evaluation of urban planning policy: The Land-Use Policy Efficiency Index (LUPEI)," European Journal of Operational Research, Elsevier, vol. 264(2), pages 491-507.
    11. Mendola, Daria & Volo, Serena, 2017. "Building composite indicators in tourism studies: Measurements and applications in tourism destination competitiveness," Tourism Management, Elsevier, vol. 59(C), pages 541-553.
    12. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
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    2. Rong Song & Yecui Hu & Mengqi Li, 2021. "Chinese Pattern of Urban Development Quality Assessment: A Perspective Based on National Territory Spatial Planning Initiatives," Land, MDPI, vol. 10(8), pages 1-18, July.
    3. Julio Plaza Tabasco & Héctor S. Martínez Sánchez-Mateos, 2021. "Integration Versus Fragmentation, the Role of Minor Rural Networks in Rural Cultural Landscapes. A Study-Case in Spain," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
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    6. Francisco Ruiz & José Manuel Cabello, 2021. "MRP-PCI: A Multiple Reference Point Based Partially Compensatory Composite Indicator for Sustainability Assessment," Sustainability, MDPI, vol. 13(3), pages 1-19, January.

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