Contenuto in:
Capitolo

Monitoring phenological traits of a coastal mediterranean maquis area through automated systems

  • Carla Cesaraccio
  • Alessandra Piga
  • Andrea Ventura
  • Angelo Arca
  • Pierpaolo Duce

Understanding ecosystem dynamics in an era of global change and declining biodiversity requires monitoring biotic components such as plant behaviors and traits. Innovative integrated systems using high-frequency digital images automate vegetation tracking and record of detailed morphological and phenological data. In this study, a description of prototypal monitoring systems based on repeated digital images for detecting changes in phenological traits of Mediterranean coastal maquis in North-West Sardinia is reported. Developed at CNR Laboratories, the systems use high-resolution cameras on automated robots to perform (1) image acquisition, (2) transmission, and (3) post-processing phase. High-resolution images were analyzed to extract Vegetation indices (ExG, REI) from RGB chromatic coordinates. Vegetation Indices patterns were related with phenological traits. Main results highlighted how these systems can be a valid support for monitoring phenological behaviors of vegetation, even in a rugged environment such as Mediterranean coastal ecosystems. This study advances knowledge of plant responses to environmental changes supporting ecological and environmental studies.

  • Keywords:
  • Near Surface Monitoring System,
  • Phenological Traits,
  • High-Resolution Digital Images,
  • Vegetation Indices,
+ Mostra di più

Carla Cesaraccio

CNR-IBE, Institute of BioEconomy, Italy - ORCID: 0000-0002-1642-4663

Alessandra Piga

CNR-IBE, Institute of BioEconomy, Italy - ORCID: 0009-0005-6489-7931

Andrea Ventura

CNR-IBE, Institute of BioEconomy, Italy - ORCID: 0000-0003-3120-0390

Angelo Arca

CNR-IBE, Institute of BioEconomy, Italy

Pierpaolo Duce

CNR-IBE, Institute of BioEconomy, Italy - ORCID: 0000-0002-5011-2903

  1. Barta Z. (2023) - Deep learning in terrestrial conservation biology, Biologia Futura. 74, 359 - 367. DOI: 10.1007/s42977-023-00200-4
  2. Beamish A. L., Coops N. C., Hermosilla T., Chabrillat S., Heim B. (2018) - Monitoring pigment-driven vegetation changes in a low-Arctic tundra ecosystem using digital cameras, Ecosphere 9, 2. DOI: 10.1002/ecs2.2123
  3. Besson M., Alison J., Bjerge K., Gorochowski T. E., Høye T. T., Jucker T., Mann H. M. R., Clements C. F. (2022) - Towards the fully automated monitoring of ecological communities, Ecol. Lett. 25 (12), 2753 - 2775. DOI: 10.1111/ele.14123
  4. Brown T. B., Hultine K. R., Steltzer H., Denny E. G., Denslow M. W., Granados J., Henderson S., Moore D., Nagai S., SanClements M. (2016) - Using phenocams to monitor our changing Earth: Toward a global phenocam network, Front. Ecol. Environ. 14, 84 - 93. DOI: 10.1002/fee.1222
  5. De Dato G., Pellizzaro G., Cesaraccio C., Sirca C., De Angelis P., Duce P., Spano D., Scarascia Mugnozza G. (2008) - Effects of warmer and drier climate conditions on plant composition and biomass production in a Mediterranean shrubland community, iForest 1, 39 - 48. DOI: 10.3832/ifor0418-0010039
  6. Filippa G., Cremonese E., Migliavacca M., Galvagno M., Forkel M., Wingate L., Tomelleri E., Morra di Cella U., Richardson A. D. (2016) - Phenopix: A R package for image-based vegetation phenology, Agr. Forest Meteorol. 220, 141 - 150. DOI: 10.1016/j.agrformet.2016.01.006
  7. Ide R., Oguma H. (2010) - Use of digital cameras for phenological observations, Ecol. Inform. 5, 339 - 347. DOI: 10.1016/j.ecoinf.2010.07.002
  8. IPBES 2023. Roy H. E., Pauchard A., Stoett P., Renard Truong T., Bacher S., Galil B. S., Hulme P. E., Ikeda T., Sankaran K. V., McGeoch M. A., Meyerson L. A., Nuñez M. A., Ordonez A., Rahlao S. J., Schwindt E., Seebens H., Sheppard A. W., Vandvik V. (2023) - Summary for Policymakers of the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, IPBES secretariat, Bonn, Germany. DOI: 10.5281/zenodo.7430692
  9. Kerry R. G., Montalbo F. J. P., Das R., Patra S., Mahapatra G. P., Maurya G. K., Nayak V., Jena A. B., Ukhurebor K. E., Jena R. C., Gouda S., Majhi S., Rout J. R. (2022) - An overview of remote monitoring methods in biodiversity conservation, Environ. Sci. Pollut. R. 29 (53), 80179 - 80221. DOI: 10.1007/s11356-022-23242-y
  10. van Klink R., August T., Bas Y., Bodesheim P., Bonn A., Fossoy F., Hoye T. T., Jongejans E., Menz M. H. M., Miraldo A., Roslin T., Roy H. E., Ruczyński I., Schigel D., Schäffler L., Sheard J. K., Svenningsen C., Tschan G. F., Wäldchen Zizka V. M. A., Åström J., Bowler D. E. (2022) - Emerging technologies revolutionise insect ecology and monitoring, Trends Ecol. Evol. 37 (10), 872 - 885. DOI: 10.1016/j.tree.2022.06.001
  11. Liu F., Wang X., Wang C. (2019) - Measuring Vegetation Phenology with Near-Surface Remote Sensing in a Temperate Deciduous Forest: Effects of Sensor Type and Deployment, Remote Sens. 11 (9), 1063. DOI: 10.3390/rs11091063
  12. Liu Y., Wu C., Sonnentag O., Desai A.R., Wang J. (2020) - Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis, Agric. For. Meteorol. 285 - 286, 107910. DOI: 10.1016/j.agrformet.2020.107910
  13. Luo Y., Pacheco-Labrador J., Richardson A. D., Seyednasrollah B., Perez-Priego O., Gonzalez-Cascon R., Martín M. P., Moreno G., Nair R., Wutzler T., Bucher S. F., Carrara A., Cremonese E., El-Madany T. S., Filippa G., Galvagno M., Hammer T., Ma X., Martini D., Zhang Q., Reichstein M., Menzel A., Römermann C., Migliavacca M. (2022) - Evergreen broadleaf greenness and its relationship with leaf flushing, aging, and water fluxes, Agr. Forest Meteorol. 323, 109060. DOI: 10.1016/j.agrformet.2022.109060
  14. Migliavacca M., Galvagno M., Cremonese E., Rossini M., Meroni M., Sonnentag O., Cogliati S., Manca G., Diotri F., Busetto L. (2011) - Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake, Agr. Forest Meteorol. 151, 1325 - 1337. DOI: 10.1016/j.agrformet.2011.05.012
  15. Mizunuma T., Wilkinson M., Eaton L., Mencuccini E. M., Morison I. L. J., Grace J. (2013) - The relationship between carbon dioxide uptake and canopy colour from two camera systems in a deciduous forest in southern England, Funct. Ecol. 27 (1), 196 - 207. DOI: 10.1111/1365-2435.12026
PDF
  • Anno di pubblicazione: 2024
  • Pagine: 144-155

XML
  • Anno di pubblicazione: 2024

Informazioni sul capitolo

Titolo del capitolo

Monitoring phenological traits of a coastal mediterranean maquis area through automated systems

Autori

Carla Cesaraccio, Alessandra Piga, Andrea Ventura, Angelo Arca, Pierpaolo Duce

Lingua

Italian

DOI

10.36253/979-12-215-0556-6.12

Opera sottoposta a peer review

Anno di pubblicazione

2024

Copyright

© 2024 Author(s)

Licenza d'uso

CC BY-NC-SA 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

Tenth International Symposium "Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques"

Sottotitolo del libro

Livorno (Italy) 11th-13th June 2024

Curatori

Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci

Opera sottoposta a peer review

Anno di pubblicazione

2024

Copyright

© 2024 Author(s)

Licenza d'uso

CC BY-NC-SA 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press

DOI

10.36253/979-12-215-0556-6

eISBN (pdf)

979-12-215-0556-6

eISBN (xml)

979-12-215-0557-3

Collana

Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques

e-ISSN della collana

2975-0288

9

Download dei libri

21

Visualizzazioni

Salva la citazione

1.383

Libri in accesso aperto

in catalogo

2.567

Capitoli di Libri

4.133.292

Download dei libri

4.947

Autori

da 1047 Istituzioni e centri di ricerca

di 66 Nazioni

69

scientific boards

da 368 Istituzioni e centri di ricerca

di 43 Nazioni

1.300

I referee

da 393 Istituzioni e centri di ricerca

di 38 Nazioni