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The Contribution of Remote Sensing and Silvicultural Treatments to the Assessment of Decline in an Oak Deciduous Forest: The Study Case of a Protected Area in Mediterranean Environment

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Book cover Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

Thanks to their ability to produce ecosystem services, forest ecosystems have a significant social, economic and environmental impact on the development of many regions in the world, especially when located in urban and peri-urban areas.

Today, increased forest vulnerability is being reflected in a larger number of severe decline episodes associated mainly with drought. In this context, the Mediterranean area shows high forest vulnerability and a subsequent decline in its natural renewal rate.

In this scenario, the aim of the present research is to assess sustainability of a protected pristine deciduous oak forest near Rome, developing a forest health condition monitoring tool based on the application of multispectral satellite data, and through the identification of silvicultural models appropriate for promoting natural forest renewal.

The preliminary results of this research indicate how the exclusion of wildlife through fenced areas significantly favors the natural renewal of the forest, especially when silvicultural actions such as thinning are carried out. It has also been ascertained through the use of multispectral satellite data that there is a widespread decline in the health vegetative state of the deciduous oak surfaces, due to a widespread senescence of the forest. In the addressed study area, the Natural State Reserve of Castelporziano (Rome), data and results from this research can work as an important decision tool for sustainable forest management.

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Acknowledgments

The authors thank the General Secretariat of the Presidency of the Republic, the management of the Estate of Castelporziano, the Scientific-Technical Commission of Castelporziano that enabled these studies and the publication of the data.

Funding

This research was funded by the National Academy of Sciences (Rome), within the monitoring program of the presidential Estate of Castelporziano.

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Authors and Affiliations

  1. Department of Agricultural and Forestry Sciences (D.A.F.N.E.), Tuscia University, Viterbo, Italy

    Fabio Recanatesi, Benedetta Cucca, Carlo Maria Rossi & Maria Nicolina Ripa

  2. Department of Landscape Planning, University of “La Sapienza” (D.I.A.P.), Rome, Italy

    Matteo Piccinno

Authors
  1. Fabio Recanatesi
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  2. Matteo Piccinno
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  3. Benedetta Cucca
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  4. Carlo Maria Rossi
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  5. Maria Nicolina Ripa
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Contributions

The authors declare no conflict of interest.

Corresponding author

Correspondence to Fabio Recanatesi .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

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  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Recanatesi, F., Piccinno, M., Cucca, B., Rossi, C.M., Ripa, M.N. (2020). The Contribution of Remote Sensing and Silvicultural Treatments to the Assessment of Decline in an Oak Deciduous Forest: The Study Case of a Protected Area in Mediterranean Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_3

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  • DOI: https://doi.org/10.1007/978-3-030-58814-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58813-7

  • Online ISBN: 978-3-030-58814-4

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