Rapid Acoustic Survey for Biodiversity Appraisal
Publication Date
December 30, 2008
Journal
PLOS ONE
Authors
Jérôme Sueur, Sandrine Pavoine, Olivier Hamerlynck & Stéphanie Duvail
Volume
3
Issue
12
Pages
e4065
DOI
https://dx.plos.org/10.1371/journal.pone.0004065
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0004065
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/19115006
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2605254
Europe PMC
http://europepmc.org/abstract/MED/19115006
Web of Science
000265466300007
Scopus
58149193211
Mendeley
http://www.mendeley.com/research/rapid-acoustic-survey-biodiversity-appraisal
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Mendeley | Further Information

{"title"=>"Rapid acoustic survey for biodiversity appraisal", "type"=>"journal", "authors"=>[{"first_name"=>"Jérôme", "last_name"=>"Sueur", "scopus_author_id"=>"55893287300"}, {"first_name"=>"Sandrine", "last_name"=>"Pavoine", "scopus_author_id"=>"55966387900"}, {"first_name"=>"Olivier", "last_name"=>"Hamerlynck", "scopus_author_id"=>"6601998195"}, {"first_name"=>"Stéphanie", "last_name"=>"Duvail", "scopus_author_id"=>"22733483400"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"58149193211", "pmid"=>"19115006", "pui"=>"354030438", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-58149193211", "doi"=>"10.1371/journal.pone.0004065", "issn"=>"19326203"}, "id"=>"806708e2-5713-34ab-a849-152ec06181e5", "abstract"=>"Biodiversity assessment remains one of the most difficult challenges encountered by ecologists and conservation biologists. This task is becoming even more urgent with the current increase of habitat loss. Many methods-from rapid biodiversity assessments (RBA) to all-taxa biodiversity inventories (ATBI)-have been developed for decades to estimate local species richness. However, these methods are costly and invasive. Several animals-birds, mammals, amphibians, fishes and arthropods-produce sounds when moving, communicating or sensing their environment. Here we propose a new concept and method to describe biodiversity. We suggest to forego species or morphospecies identification used by ATBI and RBA respectively but rather to tackle the problem at another evolutionary unit, the community level. We also propose that a part of diversity can be estimated and compared through a rapid acoustic analysis of the sound produced by animal communities. We produced alpha and beta diversity indexes that we first tested with 540 simulated acoustic communities. The alpha index, which measures acoustic entropy, shows a logarithmic correlation with the number of species within the acoustic community. The beta index, which estimates both temporal and spectral dissimilarities, is linearly linked to the number of unshared species between acoustic communities. We then applied both indexes to two closely spaced Tanzanian dry lowland coastal forests. Indexes reveal for this small sample a lower acoustic diversity for the most disturbed forest and acoustic dissimilarities between the two forests suggest that degradation could have significantly decreased and modified community composition. Our results demonstrate for the first time that an indicator of biological diversity can be reliably obtained in a non-invasive way and with a limited sampling effort. This new approach may facilitate the appraisal of animal diversity at large spatial and temporal scales.", "link"=>"http://www.mendeley.com/research/rapid-acoustic-survey-biodiversity-appraisal", "reader_count"=>441, "reader_count_by_academic_status"=>{"Unspecified"=>10, "Professor > Associate Professor"=>6, "Librarian"=>2, "Researcher"=>105, "Student > Doctoral Student"=>18, "Student > Ph. D. Student"=>85, "Student > Postgraduate"=>28, "Student > Master"=>97, "Other"=>16, "Student > Bachelor"=>48, "Lecturer"=>5, "Lecturer > Senior Lecturer"=>4, "Professor"=>17}, "reader_count_by_user_role"=>{"Unspecified"=>10, "Professor > Associate Professor"=>6, "Librarian"=>2, "Researcher"=>105, "Student > Doctoral Student"=>18, "Student > Ph. D. 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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/912141"], "description"=>"<p>(<i>a</i>) Variation of <i>H</i> within and among forests. (<i>b</i>) Ward's hierarchical cluster analysis applied to <i>D</i> index. The orange dot refers to the single misclassified recording between sites. “Dawn” = chorus from 6.00 am to 6.15 am, “dusk1” = chorus from 5.30 pm to 5.45 pm, “dusk2” = chorus from 6.30 pm to 6.45 pm. Boxes are bounded by the first quartile, median, and third quartile; whiskers are 1.5 times the interquartile range; points outside the whiskers are outliers.</p>", "links"=>[], "tags"=>["richness", "dissimilarity", "tanzanian", "lowland"], "article_id"=>582604, "categories"=>["Ecology"], "users"=>["Jérôme Sueur", "Sandrine Pavoine", "Olivier Hamerlynck", "Stéphanie Duvail"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004065.g003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Acoustic_richness_and_dissimilarity_of_two_Tanzanian_lowland_coastal_forests_/582604", "title"=>"Acoustic richness and dissimilarity of two Tanzanian lowland coastal forests.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-30 00:43:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/912263"], "description"=>"<p>Mean spectral profiles of the two forests at tree times of the day. The plots depict variations of amplitude (sound energy) over frequencies. Each line corresponds to one recording session. Arrow indicates the cicada species singing in Ngumburuni. The orange profile refers to the recording misclassified (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004065#pone-0004065-g003\" target=\"_blank\">Fig. 3</a>). “Dawn”, “dusk1” and “dusk2” refers to three recording times along the day, see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004065#pone-0004065-g003\" target=\"_blank\">Fig. 3</a> for details.</p>", "links"=>[], "tags"=>["profiles", "tanzanian", "lowland"], "article_id"=>582722, "categories"=>["Ecology"], "users"=>["Jérôme Sueur", "Sandrine Pavoine", "Olivier Hamerlynck", "Stéphanie Duvail"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004065.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spectral_profiles_of_two_Tanzanian_lowland_coastal_forests_/582722", "title"=>"Spectral profiles of two Tanzanian lowland coastal forests.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-30 00:45:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/911946"], "description"=>"<p>Waveform and spectrogram showing frequency profile over time, amplitude being depicted with a relative decibels (dB) colour scale. The chorus, which originally lasted 30 s, includes 5 birds (<i>Fringilla coelebs</i>, <i>Parus major</i>, <i>Strix aluco</i>, <i>Troglodytes troglodytes</i>, <i>Turdus merula</i>), 5 amphibians (<i>Alytes obstetricans</i>, <i>Bufo bufo</i>, <i>Hyla arborea</i>, <i>Pelodytes punctatus</i>, <i>Rana ridibunda</i>), and 5 insects (<i>Chrysocraon dispar</i>, <i>Cicada orni</i>, <i>Gryllus campestris</i>, <i>Metrioptera bicolor</i>, <i>Oecanthus pellucens</i>).</p>", "links"=>[], "tags"=>["simulated"], "article_id"=>582403, "categories"=>["Ecology"], "users"=>["Jérôme Sueur", "Sandrine Pavoine", "Olivier Hamerlynck", "Stéphanie Duvail"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004065.g001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_of_a_random_simulated_chorus_/582403", "title"=>"Example of a random simulated chorus.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-30 00:40:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/450671", "https://ndownloader.figshare.com/files/450736", "https://ndownloader.figshare.com/files/450786", "https://ndownloader.figshare.com/files/450835", "https://ndownloader.figshare.com/files/450875", "https://ndownloader.figshare.com/files/450912", "https://ndownloader.figshare.com/files/450953", "https://ndownloader.figshare.com/files/450983", "https://ndownloader.figshare.com/files/451017", "https://ndownloader.figshare.com/files/451070", "https://ndownloader.figshare.com/files/451124", "https://ndownloader.figshare.com/files/451186", "https://ndownloader.figshare.com/files/451270", "https://ndownloader.figshare.com/files/451294", "https://ndownloader.figshare.com/files/451316", "https://ndownloader.figshare.com/files/451345", "https://ndownloader.figshare.com/files/451373", "https://ndownloader.figshare.com/files/451400", "https://ndownloader.figshare.com/files/451437"], "description"=>"<div><p>Biodiversity assessment remains one of the most difficult challenges encountered by ecologists and conservation biologists. This task is becoming even more urgent with the current increase of habitat loss. Many methods–from rapid biodiversity assessments (RBA) to all-taxa biodiversity inventories (ATBI)–have been developed for decades to estimate local species richness. However, these methods are costly and invasive. Several animals–birds, mammals, amphibians, fishes and arthropods–produce sounds when moving, communicating or sensing their environment. Here we propose a new concept and method to describe biodiversity. We suggest to forego species or morphospecies identification used by ATBI and RBA respectively but rather to tackle the problem at another evolutionary unit, the community level. We also propose that a part of diversity can be estimated and compared through a rapid acoustic analysis of the sound produced by animal communities. We produced α and β diversity indexes that we first tested with 540 simulated acoustic communities. The α index, which measures acoustic entropy, shows a logarithmic correlation with the number of species within the acoustic community. The β index, which estimates both temporal and spectral dissimilarities, is linearly linked to the number of unshared species between acoustic communities. We then applied both indexes to two closely spaced Tanzanian dry lowland coastal forests. Indexes reveal for this small sample a lower acoustic diversity for the most disturbed forest and acoustic dissimilarities between the two forests suggest that degradation could have significantly decreased and modified community composition. Our results demonstrate for the first time that an indicator of biological diversity can be reliably obtained in a non-invasive way and with a limited sampling effort. This new approach may facilitate the appraisal of animal diversity at large spatial and temporal scales.</p></div>", "links"=>[], "tags"=>["acoustic", "biodiversity", "appraisal"], "article_id"=>148828, "categories"=>["Ecology"], "users"=>["Jérôme Sueur", "Sandrine Pavoine", "Olivier Hamerlynck", "Stéphanie Duvail"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0004065.s001", "https://dx.doi.org/10.1371/journal.pone.0004065.s002", "https://dx.doi.org/10.1371/journal.pone.0004065.s003", "https://dx.doi.org/10.1371/journal.pone.0004065.s004", "https://dx.doi.org/10.1371/journal.pone.0004065.s005", "https://dx.doi.org/10.1371/journal.pone.0004065.s006", "https://dx.doi.org/10.1371/journal.pone.0004065.s007", "https://dx.doi.org/10.1371/journal.pone.0004065.s008", "https://dx.doi.org/10.1371/journal.pone.0004065.s009", "https://dx.doi.org/10.1371/journal.pone.0004065.s010", "https://dx.doi.org/10.1371/journal.pone.0004065.s011", "https://dx.doi.org/10.1371/journal.pone.0004065.s012", "https://dx.doi.org/10.1371/journal.pone.0004065.s013", "https://dx.doi.org/10.1371/journal.pone.0004065.s014", "https://dx.doi.org/10.1371/journal.pone.0004065.s015", "https://dx.doi.org/10.1371/journal.pone.0004065.s016", "https://dx.doi.org/10.1371/journal.pone.0004065.s017", "https://dx.doi.org/10.1371/journal.pone.0004065.s018", "https://dx.doi.org/10.1371/journal.pone.0004065.s019"], "stats"=>{"downloads"=>19, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Rapid_Acoustic_Survey_for_Biodiversity_Appraisal/148828", "title"=>"Rapid Acoustic Survey for Biodiversity Appraisal", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2008-12-30 02:27:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/912037"], "description"=>"<p>(<i>a</i>) evolution of <i>H</i> index in relation with the number of species composing the chorus. <i>H</i> was calculated for eight chorus series among which the number of species per chorus varied from one to 10. Non-linear regression: <i>H</i> = 0.1176×log(<i>S</i>)+0,6107, <i>n</i> = 300. (<i>b</i>) evolution of <i>D</i> index in relation with the number of unshared species between choruses. <i>D</i> was calculated for eight chorus series including seven species each among which the number of species differed from one (14.3%) to seven (100%). Linear-regression with null intercept: <i>D</i> = 0,0268×<i>S</i>′, <i>F</i> = 2054, <i>R<sup>2</sup></i> = 0.908, <i>n</i> = 240. Error bars indicate standard deviation. Regressions are plotted with solid lines and their 95% confidence intervals with dotted lines.</p>", "links"=>[], "tags"=>["entropy", "dissimilarity", "tested", "simulated"], "article_id"=>582494, "categories"=>["Ecology"], "users"=>["Jérôme Sueur", "Sandrine Pavoine", "Olivier Hamerlynck", "Stéphanie Duvail"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0004065.g002", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Acoustic_entropy_H_index_and_dissimilarity_D_index_tested_with_simulated_choruses_/582494", "title"=>"Acoustic entropy <i>H</i> index and dissimilarity <i>D</i> index tested with simulated choruses.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-12-30 00:41:34"}

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Relative Metric

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