The future of ecosystem assessments is automation, collaboration, and artificial intelligence
Gespeichert in:
| Veröffentlicht in: | Environmental research letters 2023-01, Vol.18 (1), p.11003 |
|---|---|
| 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 | 1 |
| container_start_page | 11003 |
| container_title | Environmental research letters |
| container_volume | 18 |
| creator | Galaz García, Carmen Bagstad, Kenneth J Brun, Julien Chaplin-Kramer, Rebecca Dhu, Trevor Murray, Nicholas J Nolan, Connor J Ricketts, Taylor H Sosik, Heidi M Sousa, Daniel Willard, Geoff Halpern, Benjamin S |
| description | |
| doi_str_mv | 10.1088/1748-9326/acab19 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1748_9326_acab19</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_4a131cbe2c83404d977ae8e1e86ea0f0</doaj_id><sourcerecordid>2760876827</sourcerecordid><originalsourceid>FETCH-LOGICAL-c448t-646de4c71065bee194e7e252e5f9e95eb12005ea431ed5bc82a8998b27b0b3ae3</originalsourceid><addsrcrecordid>eNp9kT1PwzAQhiMEElDYGS0xsFBqO07sjKjiS0JiKSOyzs6luErjYjtD_z0pqYABMd2Hnnvv1V2WXTB6w6hSMyaFmlY5L2dgwbDqIDv5bh3-yo-z0xhXlBaikOoke1u8I2n61AckviFofdzGhGsCMWKMa-xSJC4S6JNfQ3K-uybWty0YH_YldDWBkFzjrIOWuC5h27oldhbPsqMG2ojn-zjJXu_vFvPH6fPLw9P89nlqhVBpWoqyRmElo2VhEFklUCIvOBZNhVWBhvHBMILIGdaFsYqDqipluDTU5ID5JHsadWsPK70Jbg1hqz04_dXwYal3Dm2LWgDLmTXIrcoFFXUlJaBChqpEoA0dtC5HrU3wHz3GpFe-D91gX3NZUiVLxeVA0ZGywccYsPneyqjePUTvLq53F9fjQ4aR63HE-c2P5j_41R84hlazgdaUMUpzvamb_BNWqpr5</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2760876827</pqid></control><display><type>article</type><title>The future of ecosystem assessments is automation, collaboration, and artificial intelligence</title><source>IOP Publishing Free Content</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><source>Free Full-Text Journals in Chemistry</source><creator>Galaz García, Carmen ; Bagstad, Kenneth J ; Brun, Julien ; Chaplin-Kramer, Rebecca ; Dhu, Trevor ; Murray, Nicholas J ; Nolan, Connor J ; Ricketts, Taylor H ; Sosik, Heidi M ; Sousa, Daniel ; Willard, Geoff ; Halpern, Benjamin S</creator><creatorcontrib>Galaz García, Carmen ; Bagstad, Kenneth J ; Brun, Julien ; Chaplin-Kramer, Rebecca ; Dhu, Trevor ; Murray, Nicholas J ; Nolan, Connor J ; Ricketts, Taylor H ; Sosik, Heidi M ; Sousa, Daniel ; Willard, Geoff ; Halpern, Benjamin S</creatorcontrib><identifier>ISSN: 1748-9326</identifier><identifier>EISSN: 1748-9326</identifier><identifier>DOI: 10.1088/1748-9326/acab19</identifier><identifier>CODEN: ERLNAL</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Artificial intelligence ; Automation ; cloud computing ; ecological monitoring ; Ecosystem assessment ; environmental data ; global environmental goals ; remote sensing</subject><ispartof>Environmental research letters, 2023-01, Vol.18 (1), p.11003</ispartof><rights>2023 The Author(s). Published by IOP Publishing Ltd</rights><rights>2023 The Author(s). Published by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-646de4c71065bee194e7e252e5f9e95eb12005ea431ed5bc82a8998b27b0b3ae3</citedby><cites>FETCH-LOGICAL-c448t-646de4c71065bee194e7e252e5f9e95eb12005ea431ed5bc82a8998b27b0b3ae3</cites><orcidid>0000-0002-8916-564X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1748-9326/acab19/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,860,2095,27903,27904,38847,38869,53818,53845</link.rule.ids></links><search><creatorcontrib>Galaz García, Carmen</creatorcontrib><creatorcontrib>Bagstad, Kenneth J</creatorcontrib><creatorcontrib>Brun, Julien</creatorcontrib><creatorcontrib>Chaplin-Kramer, Rebecca</creatorcontrib><creatorcontrib>Dhu, Trevor</creatorcontrib><creatorcontrib>Murray, Nicholas J</creatorcontrib><creatorcontrib>Nolan, Connor J</creatorcontrib><creatorcontrib>Ricketts, Taylor H</creatorcontrib><creatorcontrib>Sosik, Heidi M</creatorcontrib><creatorcontrib>Sousa, Daniel</creatorcontrib><creatorcontrib>Willard, Geoff</creatorcontrib><creatorcontrib>Halpern, Benjamin S</creatorcontrib><title>The future of ecosystem assessments is automation, collaboration, and artificial intelligence</title><title>Environmental research letters</title><addtitle>ERL</addtitle><addtitle>Environ. Res. Lett</addtitle><subject>Artificial intelligence</subject><subject>Automation</subject><subject>cloud computing</subject><subject>ecological monitoring</subject><subject>Ecosystem assessment</subject><subject>environmental data</subject><subject>global environmental goals</subject><subject>remote sensing</subject><issn>1748-9326</issn><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNp9kT1PwzAQhiMEElDYGS0xsFBqO07sjKjiS0JiKSOyzs6luErjYjtD_z0pqYABMd2Hnnvv1V2WXTB6w6hSMyaFmlY5L2dgwbDqIDv5bh3-yo-z0xhXlBaikOoke1u8I2n61AckviFofdzGhGsCMWKMa-xSJC4S6JNfQ3K-uybWty0YH_YldDWBkFzjrIOWuC5h27oldhbPsqMG2ojn-zjJXu_vFvPH6fPLw9P89nlqhVBpWoqyRmElo2VhEFklUCIvOBZNhVWBhvHBMILIGdaFsYqDqipluDTU5ID5JHsadWsPK70Jbg1hqz04_dXwYal3Dm2LWgDLmTXIrcoFFXUlJaBChqpEoA0dtC5HrU3wHz3GpFe-D91gX3NZUiVLxeVA0ZGywccYsPneyqjePUTvLq53F9fjQ4aR63HE-c2P5j_41R84hlazgdaUMUpzvamb_BNWqpr5</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Galaz García, Carmen</creator><creator>Bagstad, Kenneth J</creator><creator>Brun, Julien</creator><creator>Chaplin-Kramer, Rebecca</creator><creator>Dhu, Trevor</creator><creator>Murray, Nicholas J</creator><creator>Nolan, Connor J</creator><creator>Ricketts, Taylor H</creator><creator>Sosik, Heidi M</creator><creator>Sousa, Daniel</creator><creator>Willard, Geoff</creator><creator>Halpern, Benjamin S</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8916-564X</orcidid></search><sort><creationdate>20230101</creationdate><title>The future of ecosystem assessments is automation, collaboration, and artificial intelligence</title><author>Galaz García, Carmen ; Bagstad, Kenneth J ; Brun, Julien ; Chaplin-Kramer, Rebecca ; Dhu, Trevor ; Murray, Nicholas J ; Nolan, Connor J ; Ricketts, Taylor H ; Sosik, Heidi M ; Sousa, Daniel ; Willard, Geoff ; Halpern, Benjamin S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-646de4c71065bee194e7e252e5f9e95eb12005ea431ed5bc82a8998b27b0b3ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial intelligence</topic><topic>Automation</topic><topic>cloud computing</topic><topic>ecological monitoring</topic><topic>Ecosystem assessment</topic><topic>environmental data</topic><topic>global environmental goals</topic><topic>remote sensing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Galaz García, Carmen</creatorcontrib><creatorcontrib>Bagstad, Kenneth J</creatorcontrib><creatorcontrib>Brun, Julien</creatorcontrib><creatorcontrib>Chaplin-Kramer, Rebecca</creatorcontrib><creatorcontrib>Dhu, Trevor</creatorcontrib><creatorcontrib>Murray, Nicholas J</creatorcontrib><creatorcontrib>Nolan, Connor J</creatorcontrib><creatorcontrib>Ricketts, Taylor H</creatorcontrib><creatorcontrib>Sosik, Heidi M</creatorcontrib><creatorcontrib>Sousa, Daniel</creatorcontrib><creatorcontrib>Willard, Geoff</creatorcontrib><creatorcontrib>Halpern, Benjamin S</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</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>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Galaz García, Carmen</au><au>Bagstad, Kenneth J</au><au>Brun, Julien</au><au>Chaplin-Kramer, Rebecca</au><au>Dhu, Trevor</au><au>Murray, Nicholas J</au><au>Nolan, Connor J</au><au>Ricketts, Taylor H</au><au>Sosik, Heidi M</au><au>Sousa, Daniel</au><au>Willard, Geoff</au><au>Halpern, Benjamin S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The future of ecosystem assessments is automation, collaboration, and artificial intelligence</atitle><jtitle>Environmental research letters</jtitle><stitle>ERL</stitle><addtitle>Environ. Res. Lett</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>18</volume><issue>1</issue><spage>11003</spage><pages>11003-</pages><issn>1748-9326</issn><eissn>1748-9326</eissn><coden>ERLNAL</coden><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1748-9326/acab19</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-8916-564X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1748-9326 |
| ispartof | Environmental research letters, 2023-01, Vol.18 (1), p.11003 |
| issn | 1748-9326 1748-9326 |
| language | eng |
| recordid | cdi_crossref_primary_10_1088_1748_9326_acab19 |
| source | IOP Publishing Free Content; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra; Free Full-Text Journals in Chemistry |
| subjects | Artificial intelligence Automation cloud computing ecological monitoring Ecosystem assessment environmental data global environmental goals remote sensing |
| title | The future of ecosystem assessments is automation, collaboration, and artificial intelligence |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T05%3A24%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20future%20of%20ecosystem%20assessments%20is%20automation,%20collaboration,%20and%20artificial%20intelligence&rft.jtitle=Environmental%20research%20letters&rft.au=Galaz%20Garc%C3%ADa,%20Carmen&rft.date=2023-01-01&rft.volume=18&rft.issue=1&rft.spage=11003&rft.pages=11003-&rft.issn=1748-9326&rft.eissn=1748-9326&rft.coden=ERLNAL&rft_id=info:doi/10.1088/1748-9326/acab19&rft_dat=%3Cproquest_cross%3E2760876827%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2760876827&rft_id=info:pmid/&rft_doaj_id=oai_doaj_org_article_4a131cbe2c83404d977ae8e1e86ea0f0&rfr_iscdi=true |