The sound of a tropical forest
Abstract
Recording of forest soundscapes can help monitor animal biodiversity for conservation
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All conservation measures require cost-efficient and robust biodiversity monitoring, which is lagging behind carbon monitoring due in part to the lack of scalable, reproducible and cost-effective sampling methodologies.
“To be effective, all conservation measures require cost-efficient and robust biodiversity monitoring, which is lagging behind carbon monitoring due in part to the lack of scalable, reproducible and cost-effective sampling methodologies13,15.”
From Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests (2023) · cites this paper as [15]
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References 13 · Cited by 107
- Authors
- Burivalova, Z., Game, E. T., & Butler, R. A.
- Affiliations
- Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ 08540, USA.
- The University of Queensland (AU)
- , Menlo Park, CA 94026, USA.
- ORCID
- Game, Edward T.
- Venue
- Science
- Published
- 2019-01-04
- Volume
- 363
- Issue
- 6422
- Pages
- 28-29
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2908507715
- Cited by
- 107
- References
- 13
- Citations by year
- 2026: 11 · 2025: 6 · 2024: 16 · 2023: 12 · 2022: 17 · 2021: 13 · 2020: 20 · 2019: 12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Keywords
- forest soundscape, bioacoustics, biodiversity monitoring, tropical forests, conservation, animal sounds
- MeSH terms
- Acoustics, Animals, Conservation of Natural Resources, Sound, Tropical Climate, Vocalization, Animal, Biodiversity, Forests
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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.
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