Using soundscapes to detect variable degrees of human influence on tropical forests in Papua New Guinea
Open accessAbstract
There is global concern about tropical forest degradation, in part, because of the associated loss of biodiversity. Communities and indigenous people play a fundamental role in tropical forest management and are often efficient at preventing forest degradation. However, monitoring changes in biodiversity due to degradation, especially at a scale appropriate to local tropical forest management, is plagued by difficulties, including the need for expert training, inconsistencies across observers, and lack of baseline or reference data. We used a new biodiversity remote‐sensing technology, the recording of soundscapes, to test whether the acoustic saturation of a tropical forest in Papua New Guinea decreases as land‐use intensity by the communities that manage the forest increases. We sampled soundscapes continuously for 24 hours at 34 sites in different land‐use zones of 3 communities. Land‐use zones where forest cover was fully retained had significantly higher soundscape saturation during peak acoustic activity times (i.e., dawn and dusk chorus) compared with land‐use types with fragmented forest cover. We conclude that, in Papua New Guinea, the relatively simple measure of soundscape saturation may provide a cheap, objective, reproducible, and effective tool for monitoring tropical forest deviation from an intact state, particularly if it is used to detect the presence of intact dawn and dusk choruses.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Additional anthropogenic impacts such as logging or hunting can strongly affect the local fauna, but are not represented by recovery age.
“Second, additional anthropogenic impacts as logging or hunting20,49 can strongly affect the local fauna, but are not represented by recovery age.”
From Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests (2023) · cites this paper as [20]
Sound diversity, expressed via the Soundscape Saturation Index, declined and became less synchronized with forest fragmentation and loss in Papua New Guinea and Borneo.
“Sound diversity, expressed via the Soundscape Saturation Index, declined and became less synchronized with forest fragmentation and loss in Papua New Guinea and Borneo19,20.”
From Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests (2023) · cites this paper as [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Terrestrial ecoregions of the world: a new map of life on Earth
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0933:teotwa]2.0.co;2 · Cited by 8,488 · see citing works
Burnham, K. P., & Anderson, D. R. (1998) · doi:10.1007/978-1-4757-2917-7 · Cited by 3,387 · see citing works
Soundscape Ecology: The Science of Sound in the Landscape
Pijanowski, B. C., Villanueva-Rivera, L. J., Dumyahn, S. L., Farina, A., Krause, B. L., Napoletano, B. M., Gage, S. H., & Pieretti, N. (2011) · BioScience · doi:10.1525/bio.2011.61.3.6 · Cited by 1,334 · see citing works
Magurran, A., Baillie, S., Buckland, S. T., Dick, J., Elston, D., Scott, E., Smith, R. I., Somerfield, P., & Watt, A. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2010.06.016 · Cited by 964 · see citing works
What is soundscape ecology? An introduction and overview of an emerging new science
Pijanowski, B. C., Farina, A., Gage, S. H., Dumyahn, S. L., & Krause, B. L. (2011) · Landscape Ecology · doi:10.1007/s10980-011-9600-8 · Cited by 736 · see citing works
Rapid Acoustic Survey for Biodiversity Appraisal
Sueur, J., Pavoine, S., Hamerlynck, O., & Duvail, S. (2008) · PLoS ONE · doi:10.1371/journal.pone.0004065 · Cited by 689 · see citing works
Blumstein, D. T., Mennill, D. J., Clemins, P. J., Girod, L., Yao, K., Patricelli, G. L., Deppe, J. L., Krakauer, A. H., Clark, C. W., Cortopassi, K. A., et al. (2011) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2011.01993.x · Cited by 657 · see citing works
Acoustic Indices for Biodiversity Assessment and Landscape Investigation
Sueur, J., Farina, A., Gasc, A., Pieretti, N., & Pavoine, S. (2014) · Acta Acustica united with Acustica · doi:10.3813/aaa.918757 · Cited by 519 · see citing works
Distributional Ecology of New Guinea Birds
Diamond, J. M. (1973) · Science · doi:10.1126/science.179.4075.759 · Cited by 490 · see citing works
Real-time bioacoustics monitoring and automated species identification
Aide, T. M., Corrada-Bravo, C., Campos-Cerqueira, M., Milan, C., Vega, G., & Alvarez, R. (2013) · PeerJ · doi:10.7717/peerj.103 · Cited by 487 · see citing works
Ecoacoustics: the Ecological Investigation and Interpretation of Environmental Sound
Sueur, J., & Farina, A. (2015) · Biosemiotics · doi:10.1007/s12304-015-9248-x · Cited by 485 · see citing works
Community Forestry in Theory and Practice: Where Are We Now?
Charnley, S., & Poe, M. R. (2007) · Annual Review of Anthropology · doi:10.1146/annurev.anthro.35.081705.123143 · Cited by 409 · see citing works
Impact of Forest Management on Species Richness: Global Meta-Analysis and Economic Trade-Offs
Chaudhary, A., Buřivalová, Z., Koh, L. P., & Hellweg, S. (2016) · Scientific Reports · doi:10.1038/srep23954 · Cited by 398 · see citing works
Boelman, N. T., Asner, G. P., Hart, P. J., & Martin, R. E. (2007) · Ecological Applications · doi:10.1890/07-0004.1 · Cited by 354 · see citing works
Automated classification of bird and amphibian calls using machine learning: A comparison of methods
Acevedo, M. A., Corrada-Bravo, C. J., Corrada-Bravo, H., Villanueva-Rivera, L. J., & Aide, T. M. (2009) · Ecological Informatics · doi:10.1016/j.ecoinf.2009.06.005 · Cited by 317 · see citing works
Connecting soundscape to landscape: Which acoustic index best describes landscape configuration?
Fuller, S., Axel, A. C., Tucker, D., & Gage, S. H. (2015) · Ecological Indicators · doi:10.1016/j.ecolind.2015.05.057 · Cited by 314 · see citing works
Farina, A. (2013) · Springer eBooks · doi:10.1007/978-94-007-7374-5 · Cited by 282 · see citing works
Loss of avian phylogenetic diversity in neotropical agricultural systems
Frishkoff, L. O., Karp, D. S., M’Gonigle, L. K., et al. (2014) · Science · doi:10.1126/science.1254610 · Cited by 260 · see citing works
Using ecoacoustic methods to survey the impacts of climate change on biodiversity
Krause, B. L., & Farina, A. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.01.013 · Cited by 236 · see citing works
Forest Conversion and Degradation in Papua New Guinea 1972–2002
Shearman, P. L., Ash, J., Mackey, B., Bryan, J. E., & Lokes, B. (2009) · Biotropica · doi:10.1111/j.1744-7429.2009.00495.x · Cited by 172 · see citing works
Dumyahn, S. L., & Pijanowski, B. C. (2011) · Landscape Ecology · doi:10.1007/s10980-011-9635-x · Cited by 168 · see citing works
Measuring sound detection spaces for acoustic animal sampling and monitoring
Darras, K., Pütz, P., Fahrurrozi, Rembold, K., & Tscharntke, T. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.06.021 · Cited by 164 · see citing works
Visualization of Long-duration Acoustic Recordings of the Environment
Towsey, M., Zhang, L., Cottman-Fields, M., Wimmer, J., Zhang, J., & Roe, P. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.05.063 · Cited by 158 · see citing works
Self-citationBuřivalová, Z., Hua, F., Koh, L. P., et al. (2016) · Conservation Letters · doi:10.1111/conl.12244 · Cited by 142 · see citing works
Gasc, A., Sueur, J., Pavoine, S., Pellens, R., & Grandcolas, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065311 · Cited by 140 · see citing works
Linking ecological condition and the soundscape in fragmented Australian forests
Tucker, D., Gage, S. H., Williamson, I., & Fuller, S. J. (2014) · Landscape Ecology · doi:10.1007/s10980-014-0015-1 · Cited by 139 · see citing works
Temporal and spatial variability of animal sound within a neotropical forest
Rodriguez, A., Gasc, A., Pavoine, S., Grandcolas, P., Gaucher, P., & Sueur, J. (2013) · Ecological Informatics · doi:10.1016/j.ecoinf.2013.12.006 · Cited by 125 · see citing works
Pekin, B. K., Jung, J., Villanueva-Rivera, L. J., Pijanowski, B. C., & Ahumada, J. (2012) · Landscape Ecology · doi:10.1007/s10980-012-9806-4 · Cited by 125 · see citing works
Marsden, S. J., & Pilgrim, J. D. (2002) · Ibis · doi:10.1046/j.1474-919x.2003.00107.x · Cited by 102 · see citing works
Effectiveness and utility of acoustic recordings for surveying tropical birds
Celis‐Murillo, A., Deppe, J. L., & Ward, M. P. (2012) · Journal of Field Ornithology · doi:10.1111/j.1557-9263.2012.00366.x · Cited by 100 · see citing works
Bryan, J. E., Shearman, P. L., Ash, J., & Kirkpatrick, J. (2009) · Journal of Environmental Management · doi:10.1016/j.jenvman.2009.12.006 · Cited by 82 · see citing works
Shearman, P. L., & Bryan, J. E. (2010) · Austral Ecology · doi:10.1111/j.1442-9993.2010.02111.x · Cited by 66 · see citing works
The response of a New Guinean avifauna to conversion of forest to small‐scale agriculture
Marsden, S. J., Symes, C. T., & Mack, A. L. (2006) · Ibis · doi:10.1111/j.1474-919x.2006.00577.x · Cited by 49 · see citing works
Scaling Acoustic Data Analysis through Collaboration and Automation
Wimmer, J., Towsey, M., Planitz, B. M., et al. (2010) · IEEE International Conference on eScience · doi:10.1109/escience.2010.17 · Cited by 40 · see citing works
Self-citationEffect of forest fragmentation on bird species richness in Papua New Guinea
Sam, K., Koane, B., Jeppy, S., & Novotný, V. (2014) · Journal of Field Ornithology · doi:10.1111/jofo.12057 · Cited by 34 · see citing works
Financing Sustainable Forest Landscapes
Burrows, M. (2014) · Conservation Letters · doi:10.1111/conl.12152 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Akaike H. 1973. Information theory as an extension of the maximum likelihood principle. Pages 267-281 In Petrov BN, Csaki F, editors. Second international symposium on information theory. Akademiai Kiado, Budapest.
- Diamond JM. 1972. Avifauna of the eastern highlands of New Guinea. pp. 438 in Paynter RA, editor. Nuttal ornithological club, Cambridge, Massachusetts.
- Krause B. 1987. Bioacoustic: habitat ambience & ecological balance. Whole Earth Review 57:14-18.
Cited by
Sorted by citations
Guidelines for the use of acoustic indices in environmental research
Bradfer‐Lawrence, T., Gardner, N., Bunnefeld, L., Bunnefeld, N., Willis, S. G., & Dent, D. H. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13254 · Cited by 319 · see citing works
The sound of a tropical forest
Burivalova, Z., Game, E. T., & Butler, R. A. (2019) · Science · doi:10.1126/science.aav1902 · Cited by 107 · see citing works
Self-citationDetecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework
Wood, C. M., Popescu, V. D., Klinck, H., Keane, J. J., Gutiérrez, R. J., Sawyer, S. C., & Peery, M. Z. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2018.11.018 · Cited by 103 · see citing works
Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
Müller, J., Mitesser, O., Schaefer, H. M., Seibold, S., Busse, A., Kriegel, P., Rabl, D., Gelis, R., Arteaga, A., Freile, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41693-w · Cited by 89 · see citing works
Self-citationBurivalova, Z., Purnomo, Orndorff, S., Truskinger, A., Roe, P., & Game, E. T. (2021) · Biological Conservation · doi:10.1016/j.biocon.2020.108812 · Cited by 46 · see citing works
Self-citationHutschenreiter, A., Sosa-López, J. R., González-García, F., & Aureli, F. (2023) · Bioacoustics · doi:10.1080/09524622.2023.2246413 · Cited by 7 · see citing works
- Authors
- Burivalova, Z., Towsey, M., Boucher, T., Truskinger, A., Apelis, C., Roe, P., & Game, E. T.
- Affiliations
- Woodrow Wilson School of Public and International Affairs, and Department of Ecology and Evolutionary Biology Princeton University 406 Robertson Hall Princeton, NJ 08540 U.S.A.
- Queensland University of Technology (AU)
- The Nature Conservancy (US)
- The University of Queensland (AU)
- Venue
- Conservation Biology
- Publisher
- Wiley
- Published
- 2017-10-31
- Volume
- 32
- Issue
- 1
- Pages
- 205-215
- ISSN
- 0888-8892 (ISSN-L)
- 1523-1739
- OpenAlex
- W2763759612
- Cited by
- 110
- References
- 38
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 18 · 2023: 12 · 2022: 19 · 2021: 11 · 2020: 14 · 2019: 9 · 2018: 7
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Conservation Biology (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
- Keywords
- tropical forest degradation, land use intensity, community forestry, indigenous forest management, biodiversity monitoring, forest fragmentation, Papua New Guinea
- MeSH terms
- Conservation of Natural Resources, Humans, Papua New Guinea, Tropical Climate, Biodiversity, Remote Sensing Technology, Forests
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
