Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers
Automatic monitoring of biodiversity by acoustic sensors has become an indispensable tool to assess environmental stress at an early stage. Due to the difficulty in recognizing the Amazon's high acoustic diversity and the large amounts of raw audio data recorded by the sensors, the labeling and...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-07, Vol.15 (7), p.e0229425 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 7 |
| container_start_page | e0229425 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Colonna, Juan G Carvalho, José R H Rosso, Osvaldo A |
| description | Automatic monitoring of biodiversity by acoustic sensors has become an indispensable tool to assess environmental stress at an early stage. Due to the difficulty in recognizing the Amazon's high acoustic diversity and the large amounts of raw audio data recorded by the sensors, the labeling and manual inspection of this data is not feasible. Therefore, we propose an ecoacoustic index that allows us to quantify the complexity of an audio segment and correlate this measure with the biodiversity of the soundscape. The approach uses unsupervised methods to avoid the problem of labeling each species individually. The proposed index, named the Ecoacoustic Global Complexity Index (EGCI), makes use of Entropy, Divergence and Statistical Complexity. A distinguishing feature of this index is the mapping of each audio segment, including those of varied lengths, as a single point in a 2D-plane, supporting us in understanding the ecoacoustic dynamics of the rainforest. The main results show a regularity in the ecoacoustic richness of a floodplain, considering different temporal granularities, be it between hours of the day or between consecutive days of the monitoring program. We observed that this regularity does a good job of characterizing the soundscape of the environmental protection area of Mamirauá, in the Amazon, differentiating between species richness and environmental phenomena. |
| doi_str_mv | 10.1371/journal.pone.0229425 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2427511526</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A630721842</galeid><doaj_id>oai_doaj_org_article_40ade78a912c4335afa4ee4a1392e94f</doaj_id><sourcerecordid>A630721842</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-4571b68f2edb0feb41743dbcb72f58cb0e4f442b54f586ffa7c349ef74e3d24b3</originalsourceid><addsrcrecordid>eNqNkl2L1DAYhYso7of-A9GCIHgxY77atDcLw7LqwMKCrt6GNH3TZug0s0m6OP76TZ3uMgUF6UWbk-c9TQ4nSd5gtMSU408bO7hedsud7WGJCCkZyZ4lp7ikZJETRJ8ffZ8kZ95vEMpokecvkxNKOM7LAp8m4soHs5XB9E0KykplhyioVKpg7k3Yp6ZPQwvpait_2z510vTaOvAhqs4OTZuuR2F0iNu3LVi3T-8G2QejDTj_KnmhZefh9fQ-T358vrq9_Lq4vvmyvlxdL1RekrBgGcdVXmgCdYU0VAxzRutKVZzorFAVAqYZI1XG4jLXWnJFWQmaM6A1YRU9T94dfHed9WLKxgvCCM8wzkgeifWBqK3ciJ2Lt3Z7YaURfwTrGiFdvHoHgiFZAy9kiYlilGZSSwbAJKYlgZLp6HUx_W2otlAr6IOT3cx0vtObVjT2XnBasJxk0eD9ZODs3RDj_MeRJ6qR8VRj8tFMbY1XYpVTxAkuGInU8i9UfGrYGhXboU3UZwMfZwORCfArNHLwXqy_f_t_9ubnnP1wxLYgu9B62w1jNfwcZAdQOeu9A_2UHEZiLPdjGmIst5jKHcfeHqf-NPTYZvoAEmj20Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2427511526</pqid></control><display><type>article</type><title>Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Colonna, Juan G ; Carvalho, José R H ; Rosso, Osvaldo A</creator><contributor>Higgs, Dennis M.</contributor><creatorcontrib>Colonna, Juan G ; Carvalho, José R H ; Rosso, Osvaldo A ; Higgs, Dennis M.</creatorcontrib><description>Automatic monitoring of biodiversity by acoustic sensors has become an indispensable tool to assess environmental stress at an early stage. Due to the difficulty in recognizing the Amazon's high acoustic diversity and the large amounts of raw audio data recorded by the sensors, the labeling and manual inspection of this data is not feasible. Therefore, we propose an ecoacoustic index that allows us to quantify the complexity of an audio segment and correlate this measure with the biodiversity of the soundscape. The approach uses unsupervised methods to avoid the problem of labeling each species individually. The proposed index, named the Ecoacoustic Global Complexity Index (EGCI), makes use of Entropy, Divergence and Statistical Complexity. A distinguishing feature of this index is the mapping of each audio segment, including those of varied lengths, as a single point in a 2D-plane, supporting us in understanding the ecoacoustic dynamics of the rainforest. The main results show a regularity in the ecoacoustic richness of a floodplain, considering different temporal granularities, be it between hours of the day or between consecutive days of the monitoring program. We observed that this regularity does a good job of characterizing the soundscape of the environmental protection area of Mamirauá, in the Amazon, differentiating between species richness and environmental phenomena.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0229425</identifier><identifier>PMID: 32716981</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acoustics ; Animal populations ; Audio data ; Biodiversity ; Biological research ; Biology and Life Sciences ; Brazil ; Complexity ; Correlation analysis ; Data analysis ; Divergence ; Droughts ; Earth Sciences ; Entropy ; Environmental aspects ; Environmental assessment ; Environmental Monitoring - methods ; Environmental protection ; Environmental stress ; Evaluation ; Floodplains ; Information Theory ; Inspection ; Labeling ; Labelling ; Mapping ; Methods ; Monitoring ; Nature sounds ; Noise ; Physical Sciences ; Rain forests ; Rainforest ; Rainforests ; Regularity ; Researchers ; Seasons ; Sensors ; Software ; Sound ; Species richness</subject><ispartof>PloS one, 2020-07, Vol.15 (7), p.e0229425</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Colonna et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Colonna et al 2020 Colonna et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-4571b68f2edb0feb41743dbcb72f58cb0e4f442b54f586ffa7c349ef74e3d24b3</citedby><cites>FETCH-LOGICAL-c692t-4571b68f2edb0feb41743dbcb72f58cb0e4f442b54f586ffa7c349ef74e3d24b3</cites><orcidid>0000-0002-1740-2618</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384625/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384625/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32716981$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Higgs, Dennis M.</contributor><creatorcontrib>Colonna, Juan G</creatorcontrib><creatorcontrib>Carvalho, José R H</creatorcontrib><creatorcontrib>Rosso, Osvaldo A</creatorcontrib><title>Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Automatic monitoring of biodiversity by acoustic sensors has become an indispensable tool to assess environmental stress at an early stage. Due to the difficulty in recognizing the Amazon's high acoustic diversity and the large amounts of raw audio data recorded by the sensors, the labeling and manual inspection of this data is not feasible. Therefore, we propose an ecoacoustic index that allows us to quantify the complexity of an audio segment and correlate this measure with the biodiversity of the soundscape. The approach uses unsupervised methods to avoid the problem of labeling each species individually. The proposed index, named the Ecoacoustic Global Complexity Index (EGCI), makes use of Entropy, Divergence and Statistical Complexity. A distinguishing feature of this index is the mapping of each audio segment, including those of varied lengths, as a single point in a 2D-plane, supporting us in understanding the ecoacoustic dynamics of the rainforest. The main results show a regularity in the ecoacoustic richness of a floodplain, considering different temporal granularities, be it between hours of the day or between consecutive days of the monitoring program. We observed that this regularity does a good job of characterizing the soundscape of the environmental protection area of Mamirauá, in the Amazon, differentiating between species richness and environmental phenomena.</description><subject>Acoustics</subject><subject>Animal populations</subject><subject>Audio data</subject><subject>Biodiversity</subject><subject>Biological research</subject><subject>Biology and Life Sciences</subject><subject>Brazil</subject><subject>Complexity</subject><subject>Correlation analysis</subject><subject>Data analysis</subject><subject>Divergence</subject><subject>Droughts</subject><subject>Earth Sciences</subject><subject>Entropy</subject><subject>Environmental aspects</subject><subject>Environmental assessment</subject><subject>Environmental Monitoring - methods</subject><subject>Environmental protection</subject><subject>Environmental stress</subject><subject>Evaluation</subject><subject>Floodplains</subject><subject>Information Theory</subject><subject>Inspection</subject><subject>Labeling</subject><subject>Labelling</subject><subject>Mapping</subject><subject>Methods</subject><subject>Monitoring</subject><subject>Nature sounds</subject><subject>Noise</subject><subject>Physical Sciences</subject><subject>Rain forests</subject><subject>Rainforest</subject><subject>Rainforests</subject><subject>Regularity</subject><subject>Researchers</subject><subject>Seasons</subject><subject>Sensors</subject><subject>Software</subject><subject>Sound</subject><subject>Species richness</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl2L1DAYhYso7of-A9GCIHgxY77atDcLw7LqwMKCrt6GNH3TZug0s0m6OP76TZ3uMgUF6UWbk-c9TQ4nSd5gtMSU408bO7hedsud7WGJCCkZyZ4lp7ikZJETRJ8ffZ8kZ95vEMpokecvkxNKOM7LAp8m4soHs5XB9E0KykplhyioVKpg7k3Yp6ZPQwvpait_2z510vTaOvAhqs4OTZuuR2F0iNu3LVi3T-8G2QejDTj_KnmhZefh9fQ-T358vrq9_Lq4vvmyvlxdL1RekrBgGcdVXmgCdYU0VAxzRutKVZzorFAVAqYZI1XG4jLXWnJFWQmaM6A1YRU9T94dfHed9WLKxgvCCM8wzkgeifWBqK3ciJ2Lt3Z7YaURfwTrGiFdvHoHgiFZAy9kiYlilGZSSwbAJKYlgZLp6HUx_W2otlAr6IOT3cx0vtObVjT2XnBasJxk0eD9ZODs3RDj_MeRJ6qR8VRj8tFMbY1XYpVTxAkuGInU8i9UfGrYGhXboU3UZwMfZwORCfArNHLwXqy_f_t_9ubnnP1wxLYgu9B62w1jNfwcZAdQOeu9A_2UHEZiLPdjGmIst5jKHcfeHqf-NPTYZvoAEmj20Q</recordid><startdate>20200727</startdate><enddate>20200727</enddate><creator>Colonna, Juan G</creator><creator>Carvalho, José R H</creator><creator>Rosso, Osvaldo A</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1740-2618</orcidid></search><sort><creationdate>20200727</creationdate><title>Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers</title><author>Colonna, Juan G ; Carvalho, José R H ; Rosso, Osvaldo A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-4571b68f2edb0feb41743dbcb72f58cb0e4f442b54f586ffa7c349ef74e3d24b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acoustics</topic><topic>Animal populations</topic><topic>Audio data</topic><topic>Biodiversity</topic><topic>Biological research</topic><topic>Biology and Life Sciences</topic><topic>Brazil</topic><topic>Complexity</topic><topic>Correlation analysis</topic><topic>Data analysis</topic><topic>Divergence</topic><topic>Droughts</topic><topic>Earth Sciences</topic><topic>Entropy</topic><topic>Environmental aspects</topic><topic>Environmental assessment</topic><topic>Environmental Monitoring - methods</topic><topic>Environmental protection</topic><topic>Environmental stress</topic><topic>Evaluation</topic><topic>Floodplains</topic><topic>Information Theory</topic><topic>Inspection</topic><topic>Labeling</topic><topic>Labelling</topic><topic>Mapping</topic><topic>Methods</topic><topic>Monitoring</topic><topic>Nature sounds</topic><topic>Noise</topic><topic>Physical Sciences</topic><topic>Rain forests</topic><topic>Rainforest</topic><topic>Rainforests</topic><topic>Regularity</topic><topic>Researchers</topic><topic>Seasons</topic><topic>Sensors</topic><topic>Software</topic><topic>Sound</topic><topic>Species richness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Colonna, Juan G</creatorcontrib><creatorcontrib>Carvalho, José R H</creatorcontrib><creatorcontrib>Rosso, Osvaldo A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Colonna, Juan G</au><au>Carvalho, José R H</au><au>Rosso, Osvaldo A</au><au>Higgs, Dennis M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-07-27</date><risdate>2020</risdate><volume>15</volume><issue>7</issue><spage>e0229425</spage><pages>e0229425-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Automatic monitoring of biodiversity by acoustic sensors has become an indispensable tool to assess environmental stress at an early stage. Due to the difficulty in recognizing the Amazon's high acoustic diversity and the large amounts of raw audio data recorded by the sensors, the labeling and manual inspection of this data is not feasible. Therefore, we propose an ecoacoustic index that allows us to quantify the complexity of an audio segment and correlate this measure with the biodiversity of the soundscape. The approach uses unsupervised methods to avoid the problem of labeling each species individually. The proposed index, named the Ecoacoustic Global Complexity Index (EGCI), makes use of Entropy, Divergence and Statistical Complexity. A distinguishing feature of this index is the mapping of each audio segment, including those of varied lengths, as a single point in a 2D-plane, supporting us in understanding the ecoacoustic dynamics of the rainforest. The main results show a regularity in the ecoacoustic richness of a floodplain, considering different temporal granularities, be it between hours of the day or between consecutive days of the monitoring program. We observed that this regularity does a good job of characterizing the soundscape of the environmental protection area of Mamirauá, in the Amazon, differentiating between species richness and environmental phenomena.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32716981</pmid><doi>10.1371/journal.pone.0229425</doi><tpages>e0229425</tpages><orcidid>https://orcid.org/0000-0002-1740-2618</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-07, Vol.15 (7), p.e0229425 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2427511526 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Acoustics Animal populations Audio data Biodiversity Biological research Biology and Life Sciences Brazil Complexity Correlation analysis Data analysis Divergence Droughts Earth Sciences Entropy Environmental aspects Environmental assessment Environmental Monitoring - methods Environmental protection Environmental stress Evaluation Floodplains Information Theory Inspection Labeling Labelling Mapping Methods Monitoring Nature sounds Noise Physical Sciences Rain forests Rainforest Rainforests Regularity Researchers Seasons Sensors Software Sound Species richness |
| title | Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T18%3A35%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20ecoacoustic%20activity%20in%20the%20Amazon%20rainforest%20through%20Information%20Theory%20quantifiers&rft.jtitle=PloS%20one&rft.au=Colonna,%20Juan%20G&rft.date=2020-07-27&rft.volume=15&rft.issue=7&rft.spage=e0229425&rft.pages=e0229425-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0229425&rft_dat=%3Cgale_plos_%3EA630721842%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2427511526&rft_id=info:pmid/32716981&rft_galeid=A630721842&rft_doaj_id=oai_doaj_org_article_40ade78a912c4335afa4ee4a1392e94f&rfr_iscdi=true |