Vol. 76 (3) 2024
ARTICLES
Avian Diversity Monitoring in Mountain Beech Forests using Acoustic Indices: a Case Study in the Belasitsa Nature Park, Bulgaria
Kristina R. Panova*, Tzvetan M. Zlatanov & Boris P. Nikolov
More info
*Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 2 Gagarin Street, 1113 Sofia, Bulgaria; E-mails: panova.krisstina@gmail.com, tmzlatanov@gmail.com, lanius.bg@gmail.com
Abstract
Acoustic methods are widely used to study bird communities. They are particularly helpful in remote and hard reachable regions. In this study, we evaluated four acoustic indices (Acoustic Complexity Index, Acoustic Diversity Index, Acoustic Evenness Index and Bioacoustic Index) for biodiversity assessment in mountain beech (Fagus sylvatica) forests inside Belasitsa Nature Park, Bulgaria. We used twelve autonomous recording units and deployed four each in three forest types: old-growth forests in Kongura Reserve, mature managed forests (80–130 years of age) and premature managed forests (50–60 years of age). First, we verified that there were correlations between the acoustic indices and bird species richness detected by manual spectrogram scanning and listening of series of 3-min sound samples. Then, we compared the values of acoustic indices among the three forest types, finding higher bird species richness and abundance in old-growth forests and mature managed forests. We found no significant difference in the bird species composition in the three beech forest types, but more hole-nesting birds and species of conservation concern were identified in the old forests. We demonstrated that acoustic indices could be used for avian diversity monitoring and conservation management in mountain beech forests.
Key words
Autonomous sound recorders, Belasitsa, Bird species richness, Ecoacoustics, Passive acoustic monitoring
How to Cite
Panova K.R., Zlatanov T.M. & Nikolov B.R. 2024. Avian Diversity Monitoring in Mountain Beech Forests using Acoustic Indices: a Case Study in the Belasitsa Nature Park, Bulgaria. Acta zoologica bulgarica 76 (3) 323-331.
References
- Abrahams C. 2018. Bird bioacoustic surveys – developing a standard protocol. In Practice (102), pp. 20–23.
- Acevedo M.A. & Villanueva-Rivera L.J. 2006. Using automated digital recording systems as effective tools for the monitoring of birds and amphibians. Wildlife Society Bulletin 34: 211-214. http://dx.doi.org/10.2193/0091-7648(2006)34[211:UADRSA] 2.0.CO;2.
- Aghababyan K. 2018. Habitat requirements of the Semicollared Flycatcher Ficedula semitorquata in Armenia. A BOU-funded project report. BOU, Peterborough, UK.
- Alquezar R.D. & Machado R.B. 2015. Comparisons between autonomous acoustic recordings and avian point counts in open woodland savanna. Wilson Journal of Ornithology 127: 712–723. https://doi.org/10.1676/14-104.1.
- Boelman N.T., Asner G.P., Hart P.J. & Martin R.E. 2007. Multi-trophic invasion resistance in Hawaii: Bioacoustics, field surveys, and airborne remote sensing. Ecological Applications 17: 2137–2144. https://doi.org/10.1890/07-0004.1.
- Boncina A. 2000. Comparison of structure and biodiversity in the Rajhenav virgin forest remnant and managed forest in the Dinaric region of Slovenia. Global Ecology and Biogeography 9: 201–211. https://doi.org/10.1046/j.1365-2699.2000.00155.x.
- Bradfer-Lawrence T., Gardner N., Bunnefeld L., Bunnefeld N., Willis S.G. & Dent D.H. 2019. Guidelines for the use of acoustic indices in environmental research. Methods in Ecology and Evolution 10: 1796–1807. https://doi.org/10.1111/2041-210X.13254.
- Bradfer-Lawrence T., Bunnefeld N., Gardner N., Willis S.G. & Dent D.H. 2020. Rapid assessment of avian species richness and abundance using acoustic indices. Ecological Indicators 115: 106400. https://doi.org/10.1016/j.ecolind.2020.106400.
- Bregman T.P., Sekercioglu C.H. & Joseph A.T. 2014. Global patterns and predictors of bird species responses to forest fragmentation: Implications for ecosystem function and conservation. Biological Conservation 169: 372–383. https://doi.org/10.1016/j.ecolind.2020.106400.
- Brunet J., Fritz Ö. & Richnau G. 2020. Biodiversity in European beech forests – a review with recommendations for sustainable forest management. Ecological Bulletins 53: 77–94.
- Budka M., Sokołowska E., Muszyńska A. & Staniewicz A. 2023. Acoustic indices estimate breeding bird species richness with daily and seasonally variable effectiveness in lowland temperate Białowieża forest. Ecological Indicators 148: 110027. https://doi.org/10.1016/j.ecolind.2023.110027.
- Darras K., Batáry, P., Furnas B., Celis-Murillo A., Van Wilgenburg. S.L., Mulyani Y.A. & Tscharntke T. 2018. Comparing the sampling performance of sound recorders versus point counts in bird surveys: A meta-analysis. Journal of Applied Ecology 55: 2575–2586. https://doi.org/10.1111/1365-2664.13229.
- Diaz S.D.U, Gan J.L. & Tapang G.A. 2023. Acoustic indices as proxies for bird species richness in an urban green space in Metro Manila. PLoS ONE 18(7): e0289001. https://doi.org/10.1371/journal.pone.0289001.
- Eldridge A., Guyot P., Moscoso P., Johnston A., Eyre-Walker Y. & Peck M. 2018. Sounding out ecoacoustic metrics: Avian species richness is predicted by acoustic indices in temperate but not tropical habitats. Ecological Indicators 95: 939–952. https://doi.org/10.1016/j.ecolind.2018.06.012.
- Furness R.W., Greenwood J.J.D., Jarvis P.J. 1993. Can birds be used to monitor the environment? In: Furness, R.W., Greenwood, J.J.D. (Eds.), Birds as Monitors of Environmental Changes. London: Chapman & Hall, pp. 1–41. https://doi.org/10.1007/978-94-015-1322-7.
- Gasc A., Sueur J., Jiguet F., Devictor V., Grandcolas P., Burrow C., Depraetere M. & Pavoine S. 2013. Assessing biodiversity with sound: do acoustic diversity indices reflect phylogenetic and functional diversities of bird communities? Ecological Indicators 25: 279–287. http://dx.doi.org/10.1016/j.biocon.2015.06.018.
- Gaspar L.P., D.A. Scarpelli M., Oliveira E.G., Alves RS-C., Gomes A.M., Wolf R., Ferneda R.V., Kamazuka S.H., Gussoni C.O.A., Ribeiro M.C. 2023. Predicting bird diversity through acoustic indices within the Atlantic Forest biodiversity hotspot. Front. Remote Sens 4: 1283719. https://doi.org/10.3389/frsen.2023.1283719.
- Georgiev D., Iankov P. 2015. Semi-collared flycatcher (Ficedula semitorquata). p. 287. In: Golemanski V. et al. (eds), Red Data Book of the Republic of Bulgaria, Vol. 2, BAS, Sofia.
- Georgiev K., Thorn S., Zlatanov T., Nikolov B., Shurulinkov P., Daskalova G. & Gottschalk T.K. 2018. Evaluating the importance of managed forests as habitat for the Semicollared Flycatcher (Ficedula semitorquata). Forest Ecology and Management 419–420: 123–129. https://doi.org/10.1016/j.foreco.2018.03.041.
- Gerdzhikov G., Georgiev K., Plachiyski D., Zlatanov T. & Shurulinkov P. 2018. Habitat Requirements of the white-backed woodpecker Dendrocopos leucotos lilfordi (Sharpe & Dresser, 1871) (Piciformes: Picidae) in Strandzha Mountain, Bulgaria. Acta Zoologica Bulgarica 70 (4): 527–534.
- Gregory R.D. & Strien A.V. 2010. Wild bird indicators: using composite population trends of birds as measures of environmental health. Ornithological Science 9: 3–22. https://doi.org/10.2326/osj.9.3.
- Haselmayer J. & Quinn J.S. 2000. A comparison of point counts and sound recording as bird survey methods in Amazonian southeast Peru. Condor 102: 887–893. https://doi.org/10.2307/1370317.
- Jorge F.C., Machado C.G., da Cunha Nogueira S.S. & Nogueira-Filho S.L.G. 2018. The effectiveness of acoustic indices for forest monitoring in Atlantic rainforest fragments. Ecological Indicators 91: 71–76. https://doi.org/10.1016/j.ecolind.2018.04.001.
- Knight E.C., Hannah K.C., Foley G., Scott C., Mark Brigham R. & Bayne E. 2017. Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs. Avian Conservation and Ecology 12(2): 14. https://doi.org/10.5751/ACE-01114-120214.
- Major R.E., Christie F.J. & Gowing G. 2001. Influence of remnant and landscape attributes on Australian woodland bird communities. Biological Conservation 102: 47–66. https://doi.org/10.1016/S0006-3207(01)00090-8.
- Manzano-Rubio R., Bota G., Brotons L., Soto-Largo E., Pérez-Granados C. 2022. Low-cost open-source recorders and ready-to-use machine learning approaches provide effective monitoring of threatened species. Ecological Informatics 72: 101910. https://doi.org/10.1016/j.ecoinf.2022.101910.
- Mekonen S. 2017. Birds as biodiversity and environmental indicator. Journal of Natural Sciences Research 7 (21): 28–34.
- Melletti M. & Penteriani V. 2003. Nesting and feeding tree selection in the endangered white-backed woodpecker, Dendrocopos leucotos lilfordi. Wilson Bulletin 115: 299–306. https://doi.org/10.1676/03-022.
- Nikolov B., Shurlinkov P. & Hristova-Nikolova I. 2011. Bird density and species composition in Sweet Chestnut (Castanea sativa) dominated forests in the Bulgarian part of Belasitsa Mountain. In: Zlatanov T., Velichkov I. & Nikolov B. (Eds.) State and prospects of the Castanea sativa population in Belasitsa mountain: climate change adaptation; maintenance of biodiversity and sustainable ecosystem management. Project BG 0031 EEA report.
- Obrist M.K., Pavan G., Sueur J., Riede K., Llusia D. & Márquez R. 2010. Bioacoustics approaches in biodiversity inventories. In: Eymann J. Degreef J., Hauser C., Monje J. C., Samyn Y. & Van den Spiegel D. (Eds.): Manual on field recording techniques and protocols for all taxa biodiversity inventories. ABC Taxa, Brussels, Belgium, pp. 68–69.
- Pieretti N., Farina A. & Morri D. 2011. A new methodology to infer the singing activity of an avian community. The Acoustic Complexity Index (ACI). Ecological Indicators 11 (3): 868–873. https://doi.org/10.1016/j.ecolind.2010.11.005.
- Prostov A. 1963. Contribution to the study of the avifauna of Petrich Valley (Southwestern Bulgaria). Bulletin of Zoological Institute with Museum 13: 33–77. (in Bulgarian).
- Ram D., Axelsson A.-L., Green M., Smith H.G. & Lindström Å. 2017. What drives current population trends in forest birds – forest quantity, quality or climate? A large-scale analysis from northern Europe. Forest Ecology and Management 385: 177–188. https://doi.org/10.1016/j.foreco.2016.11.013.
- Robbins C.S. 1981. Effect of time and day on bird activity. Studies in Avian Biology 6: 275–282.
- Schulze E.D., Craven D., Durso A.M., Reif J., Guderle M., Kroiher F., Hennig P., Weiserbs A., Schall P., Ammer C. & Eisenhauer N. 2019. Positive association between forest management, environmental change, and forest bird abundance. Forest Ecosystems 6: 3. https://doi.org/10.1186/s40663-019-0160-8.
- Shonfield J. & Bayne E.M. 2017. Autonomous recording units in avian ecological research: current use and future applications. Avian Conservation and Ecology 12 (1): 14. https://doi.org/10.5751/ACE-00974-120114.
- Spiridonov J., Georgiev D. & Zlatanov T. 2015. White-backed Woodpecker (Dendrocopos leucotos). p. 194. In: Golemanski V. et al. (Eds): Red Data Book of the Republic of Bulgaria, Vol. 2, BAS, Sofia.
- Sueur J., Pavoine S., Hamerlynck O. & Duvail S. 2008. Rapid acoustic survey for biodiversity appraisal. PloS One 9, accessed 2020 Jun 12. https://doi.org/10.1371/journal.pone.0004065.
- Sueur J., Farina A., Gasc A., Pieretti N. & Pavoine S. 2014. Acoustic indices for biodiversity assessment and landscape investigation. Acta Acustica United with Acustica 100 (4): 772–781. https://doi.org/10.3813/AAA.918757.
- Venier L. & Pearce J. 2004. Birds as indicators of sustainable forest management. Forestry Chronicle 80(1): 61–66. https://doi.org/10.5558/tfc80061-1.
- Villanueva-Rivera L.J., Pijanowski B.C., Doucette J. & Pekin B. 2011. A primer of acoustic analysis for landscape ecologists. Landscape Ecology 26 (9): 1233–1246. https://doi.org/10.1007/s10980-011-9636-9.
- Wesołowski T., Fuller R.J. & Flade M. 2018. Temperate Forests: A European Perspective on Variation and Dynamics in Bird Assemblages. In: Mikusiński G., Roberge J. & Fuller R. (Eds.). Ecology and Conservation of Forest Birds. Cambridge University Press, pp. 253–318. https://doi.org/10.1017/9781139680363.


