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Biodiversity smart monitoring guided by historical analysis of coastal evolution

  • Daniela Malcangio
  • Daniele Celli
  • Umberto Fratino
  • Maria Francesca Bruno
  • Matteo Gianluca Molfetta
  • Luigi Pratola
  • Stefania Geronimo
  • Adriana Maria Lotito
  • Paolo Francesco Garofoli
  • Marcello Di Risio

The present work focuses on the preparatory phase of the design of the biodiversity monitoring network. The preliminary results of this first phase are then presented, starting from the formation of a cognitive framework based on previous knowledge of environmental parameters, the definition of sampling stations, areas, and detection points. At the same time, the results of the analysis of the evolutionary dynamics of the coasts are shown in the light of the new analyses and new measures, which, together with existing data, aim to inform the monitoring strategy.

  • Keywords:
  • Biodiversity,
  • Smart Monitoring system,
  • Littoral dynamic evolution,
  • Big data,
  • Remote sensing,
  • Low-cost sensors,
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Daniela Malcangio

Politecnico di Bari, Italy - ORCID: 0000-0003-4489-925X

Daniele Celli

University of L’Aquila, Italy - ORCID: 0000-0003-2656-6531

Umberto Fratino

Politecnico di Bari, Italy - ORCID: 0000-0001-8251-5478

Maria Francesca Bruno

Politecnico di Bari, Italy - ORCID: 0000-0001-6210-6810

Matteo Gianluca Molfetta

Politecnico di Bari, Italy - ORCID: 0000-0002-7281-4826

Luigi Pratola

Politecnico di Bari, Italy - ORCID: 0000-0003-4187-4575

Stefania Geronimo

Regione Puglia, Italy

Adriana Maria Lotito

Regione Puglia, Italy

Paolo Francesco Garofoli

Regione Puglia, Italy

Marcello Di Risio

University of L’Aquila, Italy - ORCID: 0000-0002-0382-7615

  1. Burton, A.C., Neilson, E., Moreira, D., Ladle, A., Steenweg, R., Fisher, J.T., Bayne, E., Stan Boutin, S. (2015). “Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes”. In Journal of Applied Ecology, 52, 675 -85. DOI: 10.1111/1365-2664.12432
  2. Dolan, R., Hayden, B.P., May, P., May, S. (1980). “Reliability of shoreline change measurements from aerial photographs”. InShore and Beach, 48 (4), 22 - 29.
  3. Fraser, L.H., Henry, H.A., Carlyle, C.N., et al. (2012). “Coordinated distributed experiments: an emerging tool for testing global hypotheses in ecology and environmental science”. In Frontiers in Ecology and the Environment, 11, 147- 155. DOI: 10.1890/110279
  4. Hill, A.P., Prince, P., Piña Covarrubias, E., Doncaster, C.P., Snaddon, J.L., Rogers, A. (2018). “AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment”. In Methods in Ecology and Evolution, 9 (5),1199 - 1211. DOI: 10.1111/2041-210X.12955
  5. Johnston, A., Newson, S.E., Risely, K., Musgrove, A.J., Massimino, D., Baillie, S.R., Pearce-Higgins, J.W. (2014). “Species traits explain variation in detectability of UK birds”.In Bird Study, 61, 340 - 350. DOI: 10.1080/00063657.2014.941787
  6. Kamp, J., Oppel, S., Heldbjerg, H., Nyegaard, T., Donald, P.F. (2016). “ Unstructured citizen science data fail to detect long- term population declines of common birds in Denmark”. InDiversity and Distributions, 22, 1024 – 1035. DOI: 10.1111/ddi.12463
  7. Pasquali, D., Bruno, M.F., Celli, D., Damiani, L., Di Risio, M. (2019). “A simplified hindcast method for the estimation of extreme storm surge events in semi-enclosed basins”. InApplied Ocean Research, 85, 45-52. DOI: 10.1016/j.apor.2019.01.031
  8. Pereira, H.M., Ferrier, S., Walters, M., et al. (2013). “EssentialBiodiversity Variables”. In Science, 339, 277 – 78. DOI: 10.1126/science.1229931
  9. Steenweg, R., Hebblewhite, M., Kays, R., Ahumada, J., Fisher, J.T., Burton, C., Townsend, S.E., Carbone, C., Rowcliffe, J.M., Whittington, J., Brodie, J., Royle, J.A., Switalski, A., Clevenger, A.P., Heim, N., Rich, L.N. (2017). “Scaling‐up camera traps: Monitoring the planet's biodiversity with networks of remote sensors”. In Frontiers in Ecology and the Environment, 15 (1),26 - 34. DOI: 10.1002/fee.1448
  10. Stowell, D., Wood, M.D., Pamuła, H., Stylianou, Y., Glotin, H. (2019). “Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge”. In Methodsin Ecology and Evolution, 10 (3), 368 - 380. DOI: 10.1111/2041-210X.13103
  11. Trevathan J., Johnstone R. (2018). “Smart Environmental Monitoring and Assessment Technologies (SEMAT) - A New Paradigm for Low-Cost, Remote Aquatic EnvironmentalMonitoring”. In Sensors, 18 (7), 2248. DOI: 10.3390/s18072248
  12. Turner W. (2014). “Sensing biodiversity”. In Science, 346, 301 -302. DOI: 10.1126/science.1256014
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  • Publication Year: 2022
  • Pages: 504-514

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  • Publication Year: 2022

Chapter Information

Chapter Title

Biodiversity smart monitoring guided by historical analysis of coastal evolution

Authors

Daniela Malcangio, Daniele Celli, Umberto Fratino, Maria Francesca Bruno, Matteo Gianluca Molfetta, Luigi Pratola, Stefania Geronimo, Adriana Maria Lotito, Paolo Francesco Garofoli, Marcello Di Risio

Language

English

DOI

10.36253/979-12-215-0030-1.46

Peer Reviewed

Publication Year

2022

Copyright Information

© 2022 Author(s)

Content License

CC BY-NC-SA 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”

Book Subtitle

Livorno (Italy) 14th-16th June 2022

Editors

Laura Bonora, Donatella Carboni, Matteo De Vincenzi, Giorgio Matteucci

Peer Reviewed

Publication Year

2022

Copyright Information

© 2022 Author(s)

Content License

CC BY-NC-SA 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0030-1

eISBN (pdf)

979-12-215-0030-1

eISBN (xml)

979-12-215-0031-8

Series Title

Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques

Series ISSN

2975-0423

Series E-ISSN

2975-0288

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