Salta al menu principale di navigazione Salta al contenuto principale Salta al piè di pagina del sito

Articoli Scientifici

V. 49 N. 1 (2025)

Ecoacustica e struttura forestale: un approccio integrato per l’analisi ecosistemica

DOI
https://doi.org/10.3280/ria1-2025oa19517
Inviata
27 febbraio 2025
Pubblicato
22-09-2025

Abstract

L’ecoacustica rappresenta un approccio innovativo per lo studio delle interazioni tra struttura ecosistemica e paesaggio sonoro, fornendo metriche quantitative per l’analisi della biodiversità e degli impatti antropici. Questo studio, condotto in un Sito di Interesse Comunitario (SIC) nel Parco Regionale della Valle del Ticino, integra il monitoraggio acustico passivo con dettagliati rilievi vegetazionali per indagare le relazioni tra soundscape e complessità forestale. L’analisi delle componenti principali e la modellizzazione statistica degli indici ecoacustici e dei parametri vegetazionali rivelano una chiara associazione tra l’eterogeneità della copertura arborea e la diversità acustica, evidenziando il ruolo degli alberi maturi e della biomassa nel modulare le proprietà sonore dell’ambiente. Questi risultati confermano il valore dell’ecoacustica come strumento per la ricerca ecologica, dimostrando l’importanza di un approccio interdisciplinare nella comprensione delle dinamiche ambientali e nella definizione di strategie efficaci per la conservazione degli ecosistemi dall'inquinamento acustico.

Riferimenti bibliografici (comprensivi di DOI)

  1. B. C. Pijanowski, L. J. Villanueva-Rivera, S. L. Dumyahn, A. Fari-na, B. L. Krause, B. M. Napoletano, S. H. Gage, N. Pieretti, Soundscape ecology: the science of sound in the land-scape, BioSci. 61 (2011) 203-216. https://doi.org/10.1525/bio.2011.61.3.6.
  2. A. Farina, Ecoacoustics: A quantitative approach to investigate the ecological role of environmental sounds, Mathematics, 2018.
  3. B. C. Pijanowski, A. Farina, S. H. Gage, S. L. Dumyahn, B. L. Krause, What is soundscape ecology? An introduction and overview of an emerging new science. Landsc. Ecol. 26 (2011) 1213-1232. https://doi.org/10.1007/s10980-011-9600-8.
  4. A. Farina, Soundscape Ecology: Principles, Patterns, Methods and Applications, Springer Science & Business Media, 2013.
  5. J. W. Doser, A. O. Finley, E. P. Kasten, S. H. Gage, Assessing soundscape disturbance through hierarchical models and acoustic indices: A case study on a shelterwood logged north-ern Michigan forest, Ecol. Indic. 113 (2020) 106244. https://doi.org/10.1016/j.ecolind.2020.106244. https://doi.org/10.1016/S0022-460X(81)80020-X.
  6. H. P. Kunc, R. Schmidt, The effects of anthropogenic noise on animals: a meta-analysis, Biol. Lett. 15 (2019) 20190649. https://doi.org/10.1098/rsbl.2019.0649.
  7. A. Farina, S.H. Gage (Eds.), Ecoacoustics: The Ecological Role of Sounds, John Wiley & Sons, 2017.
  8. M. Depraetere, S. Pavoine, F. Jiguet, A. Gasc, S. Duvail, J. Sueur, Monitoring animal diversity using acoustic indices: Implemen-tation in a temperate woodland, Ecol. Indic. 13 (2012) 46-54. https://doi.org/10.1016/j.ecolind.2011.05.006.
  9. R. Benocci, G. Brambilla, A. Bisceglie, G. Zambon, Sound ecology indicators applied to urban parks: A preliminary study, Asia-Pac. J. Sci. Technol. 25 (2020) 1-10.
  10. J. Sueur, S. Pavoine, O. Hamerlynck, S. Duvail, Rapid acoustic survey for biodiversity appraisal, PloS one. 3 (2008) e4065. https://doi.org/10.1371/journal.pone.0004065.
  11. M. Depraetere, S. Pavoine, F. Jiguet, A. Gasc, S. Duvail, J. Sueur, Monitoring animal diversity using acoustic indices: Implemen-tation in a temperate woodland, Ecol. Indic. 13 (2012) 46-54. https://doi.org/10.1016/j.ecolind.2011.05.006.
  12. N. Pieretti, A. Farina, D. Morri, A new methodology to infer the singing activity of an avian community: The Acoustic Complexi-ty Index (ACI), Ecol. Indic. 11 (2011) 868-873. https://doi.org/10.1016/j.ecolind.2010.11.005.
  13. A. Benítez-López, R. Alkemade, P. A. Verweij, The impacts of roads and other infrastructure on mammal and bird popula-tions: A meta-analysis, Biological Conservation. 143 (2010) 1307-1316. https://doi.org/10.1016/j.biocon.2010.02.009.
  14. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2018; Available online: https://www.R-project.org/ (accessed on 18 February 2025).
  15. Seewave: Sound Analysis and Synthesis. https://cran.r-project.org/web/packages/seewave/index.html (accessed on 19 February 2025).
  16. Soundecology: Soundscape Ecology. https://cran.r-project.org/web/packages/soundecology/index.html (accessed on 19 February 2025.
  17. J. Sueur, A. Farina, A. Gasc, N. Pieretti, S. Pavoine, Acoustic indices for biodiversity assessment and landscape investigation, Acta Acustica united with Acustica. 100 (2014) 772-781. https://doi.org/10.3813/AAA.918757.
  18. N. Pieretti, A. Farina, D. Morri, A new methodology to infer the singing activity of an avian community: The Acoustic Complexi-ty Index (ACI), Ecological indicators. 11 (2011) 868-873. https://doi.org/10.1016/j.ecolind.2010.11.005.
  19. W. Yang, J. Kang, Soundscape and sound preference in urban squares: A case study in Sheffield, Journal of urban design. 10 (2005) 61-80. https://doi.org/10.1080/13574800500062395.
  20. N. T. Boelman, G. P. Asner, P. J. Hart, R. E. Martin, Multi-trophic invasion resistance in Hawaii: bioacoustics, field surveys, and airborne remote sensing, Ecological Applica-tions. 17 (2007) 2137-2144. https://doi.org/10.1890/07-0004.1.
  21. J. M. Grey, J. W. Gordon, Perceptual effects of spectral modifications on musical timbres, The Journal of the Acoustical Society of America. 63(1978) 1493-1500. https://doi.org/10.1121/1.381843.
  22. J. Sueur, S. Pavoine, O. Hamerlynck, S. Duvail, Rapid acoustic survey for biodiversity appraisal, PloS one. 3 (2008) e4065. https://doi.org/10.1371/journal.pone.0004065.
  23. V.S. Ramaiah, R.R. Rao, Multi-speaker activity detection using zero crossing rate. In 2016 International Conference on Com-munication and Signal Processing. http://dx.doi.org/10.1109/ICCSP.2016.7754232.
  24. A. Potenza, V. Zaffaroni-Caorsi, R. Benocci, G. Guagliumi, J. M. Fouani, A. Bisceglie, G. Zambon, Biases in Ecoacoustics Analysis: A Protocol to Equalize Audio Recorders, Sensors (Ba-sel, Switzerland). 24 (2024), 4642. https://doi.org/10.3390/s24144642.
  25. MathWorks: MATLAB. https://www.mathworks.com/products/matlab.html. (accessed on 12 February 2025).
  26. G. Guagliumi, R. Benocci, F. Angelini, V. Zaffaroni-Caorsi, A. Po-tenza, G. Zambon, Ottimizzazione dei parametri di calcolo degli indici eco-acustici: applicazione al Parco Regionale della Valle del Ticino, Rivista italiana di acustica. 2 (2024) 19-31. https://doi.org/10.3280ria2-2024oa17780.
  27. I.T. Jolliffe, Principal Component Analysis, Springer, 2002.
  28. I. T. Joliffe, B. J. Morgan, Principal component analysis and ex-ploratory factor analysis, Statistical methods in medical re-search. 1 (1992) 69-95. https://doi.org/10.1177/096228029200100105.
  29. Package ‘clValid’. https://cran.r-project.org/web/packages/clValid/clValid.pdf (accessed on 12 February 2025).
  30. G. Brock, V. Pihur, S. Datta, S. Datta, clValid: An R Package for Cluster Validation, Journal of Statistical Software. 25 (2008) 1–22. https://doi.org/10.18637/jss.v025.i04.
  31. J. Handl, J. Knowles, D. B. Kell, Computational cluster validation in post-genomic data analysis, Bioinformatics. 21 (2005) 3201–3212. https://doi.org/10.1093/bioinformatics/bti517.
  32. R. Benocci, H. E. Roman, A. Bisceglie, F. Angelini, G. Brambilla, G. Zambon, Eco-Acoustic Assessment of an Urban Park by Sta-tistical Analysis, Sustainability. 13 (2005), 7857. https://doi.org/10.3390/su13147857.
  33. GlobAllomeTree. Assessing volume, biomass and carbon stocks of trees and forests. http://www.globallometree.org/accounts/login/. (accessed on 18 February 2025).
  34. M. A. Lefsky, W. B. Cohen, G. G. Parker, D. J. Harding, Lidar Re-mote Sensing for Ecosystem Studies: Lidar, an emerging remote sensing technology that directly measures the three-dimensional distribution of plant canopies, can accurately esti-mate vegetation structural attributes and should be of particu-lar interest to forest, landscape, and global ecologists, BioSci-ence. 52 (2002) 19-30. https://doi.org/10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2.
  35. CAN-EYE web site - INRAE. https://can-eye.paca.hub.inrae.fr/. (accessed on 3 February 2025).
  36. J. M. Chen, T. A. Black, Defining leaf area index for non-flat leaves, Plant, Cell & Environment. 15 (1992) 421-429. https://doi.org/10.1111/j.1365-3040.1992.tb00992.x.
  37. QGIS 3.28 Firenze. https://blog.qgis.org/2022/10/25/qgis-3-28-firenze-is-released/. (accessed on 125February 2025).
  38. A. Ali, M. Lohbeck, E. R. Yan, Forest strata-dependent functional evenness explains whole-community aboveground biomass through opposing mechanisms, Forest ecology and manage-ment. 424 (2018) 439-447. https://doi.org/10.1016/j.foreco.2018.05.015.
  39. C. Brush, Cavity use by secondary cavity-nesting birds and re-sponse to manipulations, The Condor. 85 (1983) 461-466. https://doi.org/10.2307/1367987.
  40. Raven Pro – Cornell Lab of Ornithology. https://www.ravensoundsoftware.com/software/raven-pro/. (accessed on 125February 2025).
  41. J. Sueur, T. Aubin, C. Simonis, Seewave, a free modular tool for sound analysis and synthesis, Bioacoustics. 18 (2008) 213-226. https://doi.org/10.1080/09524622.2008.9753600.
  42. S. Dröge, T. R. Fulgence, K. Osen, A. A. N. A. Rakotomalala, E. Raveloaritiana, D. Schwab,D. A. Martin, Understanding acoustic indices as multi-taxa biodiversity and habitat quality indicators. Ecological Indicators 169 (2024) 112909. https://doi.org/10.1016/j.ecolind.2024.112909.
  43. R. Benocci, A. Potenza, A. Bisceglie, H. E. Roman, G. Zam-bon, Mapping of the acoustic environment at an Urban Park in the City Area of Milan, Italy, using very low-cost sensors, Sen-sors. 22 (2022) 3528. https://doi.org/10.3390/s22093528.
  44. R. Benocci, G. Guagliumi, A. Potenza, V. Zaffaroni-Caorsi, H. E. Roman, G. Zambon, Application of Transfer Entropy Measure to Characterize Environmental Sounds in Urban and Wild Parks, Sensors. 25 (2025) 1046. https://doi.org/10.3390/s25041046.
  45. M. G. Khanaposhtani, A. Gasc, D. Francomano, L. J. Villanueva-Rivera, J.Jung, M. J. Mossman, B. C. Pijanowski, Effects of high-ways on bird distribution and soundscape diversity around Aldo Leopold’s shack in Baraboo, Wisconsin, USA, Landscape and Urban Planning. 192 (2019) 103666. https://doi.org/10.1016/j.landurbplan.2019.103666.
  46. R. B. Machado, L. Aguiar, G. Jones, Do acoustic indices reflect the characteristics of bird communities in the savannas of Cen-tral Brazil?, Landscape and Urban Planning 162 (2017) 36-43. https://doi.org/10.1016/j.landurbplan.2017.01.014.
  47. J. Sueur, A. Farina, A. Gasc, N. Pieretti, S. Pavoine, Acoustic indi-ces for biodiversity assessment and landscape investigation, Ac-ta Acustica united with Acustica. 100 (2014) 772 – 781. https://doi.org/10.3813/AAA.918757.
  48. X. He, Y. Deng, A. Dong, L. Lin, The relationship between acous-tic indices, vegetation, and topographic characteristics is spa-tially dependent in a tropical forest in southwestern China, Eco-logical Indicators. 142 (2022) 109229. https://doi.org/10.1016/j.ecolind.2022.109229.
  49. B. K. Pekin, J. Jung, L. J. Villanueva-Rivera, B. C. Pijanowski, J. A. Ahumada, Modeling acoustic diversity using soundscape re-cordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest, Landscape ecology. 27 (2012) 1513-1522. https://doi.org/10.1007/s10980-012-9806-4.
  50. L. Rankin, A. C. Axel, Biodiversity assessment in tropical biomes using ecoacoustics: Linking soundscape to forest structure in a human‐dominated tropical dry forest in southern Madagascar, Ecoacoustics: The Ecological Role of Sounds. (2017) 129-145. https://doi.org/10.1002/9781119230724.ch8.
  51. T. Shaw, M. Scherer-Lorenzen, S. Müller, Forest structural het-erogeneity positively affects bird richness and acoustic diversity in a temperate, central European forest, Frontiers in Ecology and Evolution.12 (2024) 1387879. https://doi.org/10.3389/fevo.2024.1387879.
  52. J. R. Karr, R. R. Roth, Vegetation Structure and Avian Diversity in Several New World Areas, The American Naturalist. 105 (1971) 423-435. https://doi.org/10.1086/282735.
  53. C. A. Quinn, P. Burns, C. R. Hakkenberg, L. Salas, B. Pasch, S. J. GoetzScott, M. L. Clark, Soundscape components inform acous-tic index patterns and refine estimates of bird species richness, Front. Remote Sens. 4 (2023) 1156837. https://doi.org/10.3389/frsen.2023.1156837.
  54. L. Barbaro, A. Sourdril, J. S. Froidevaux, M. Cauchoix, F. Calatayud, M. Deconchat, A. Gasc, Linking acoustic diversity to compositional and configurational heterogeneity in mosaic landscapes, Landscape Ecology. 37 (2022) 1125-1143. https://doi.org/10.1007/s10980-021-01391-8.
  55. M. Budka, G. Gazda-Szypulski, A. Muszyńska, E. Sokołowska, A. Staniewicz, P. Bogawski, Acoustic indices enable the discrimina-tion of temperate forest types and better predict differences in bird species composition than in bird species richness, Envi-ronmental and Sustainability Indicators. 24 (2024)100529. https://doi.org/10.1016/j.indic.2024.100529.
  56. Z. Hao, C. Wang, Z. Sun, Z., C. K. Bosch, D. Zhao, B. Sun, N. Pei, Soundscape mapping for spatial-temporal estimate on bird ac-tivities in urban forests, Urban forestry & urban greening. 57 (2021) 126822. https://doi.org/10.1016/j.ufug.2020.126822.
  57. R. H. MacArthur, J. W. MacArthur, On bird species diversity, Ecology. 42 (1961), 594-598. http://dx.doi.org/10.2307/1932254.
  58. M. W. Wilson, J. Pithon, T. Gittings, T. C. Kelly, P. S. Giller, J. O'Halloran, Effects of growth stage and tree species composi-tion on breeding bird assemblages of plantation forests, Bird Study. 53 (2006) 225-236. https://doi.org/10.1080/00063650609461437.
  59. B. O. Poulsen, Avian richness and abundance in temperate Danish forests: tree variables important to birds and their con-servation, Biodiversity & Conservation. 11 (2002) 1551-1566. https://doi.org/10.1023/A:1016839518172.
  60. J. Schieck, M. Nietfeid, J. B. Stelfox, J. B. Differences in bird spe-cies richness and abundance among three successional stages of aspen-dominated boreal forests, Canadian Journal of Zoolo-gy. 73 (1995) 1417-1431. https://doi.org/10.1139/z95-167.

Metriche

Caricamento metriche ...