A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base

Autores
Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; Gallagher, Rachael V.; Lien, Aaron; Newman, Erica A.; Burger, Joseph R.; Maitner, Brian S.; Merow, Cory; Li, Yaoqi; Huynh, Kimberly M.; Ernst, Kacey; Baldwin, Elizabeth; Foden, Wendy; Hannah, Lee; Jørgensen, Peter M.; Kraft, Nathan J. B.; Lovett, Jon C.; Marquet, Pablo A.; McGill, Brian J.; Morueta-Holme, Naia; Neves, Danilo M.; Núñez Regueiro, Mauricio Manuel; Oliveira-Filho, Ary T.; Peet, Robert K.; Pillet, Michiel; Roehrdanz, Patrick R.; Sandel, Brody; Serra-Diaz, Josep M.; Símová, Irena; Svenning, Jens Christian; Cuenin, Cyrille; Weitemier, Trang D.; Wiser, Susan; López-Hoffman, Laura
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives.
Fil: Feng, Xiao. Florida State University; Estados Unidos
Fil: Enquist, Brian J.. University of Arizona; Estados Unidos
Fil: Park, Daniel S.. Purdue University; Estados Unidos
Fil: Boyle, Brad. University of Arizona; Estados Unidos
Fil: Breshears, David D.. University of Arizona; Estados Unidos
Fil: Gallagher, Rachael V.. University of Western Australia; Australia
Fil: Lien, Aaron. University of Arizona; Estados Unidos
Fil: Newman, Erica A.. University of Arizona; Estados Unidos
Fil: Burger, Joseph R.. University of Kentucky; Estados Unidos
Fil: Maitner, Brian S.. University of Connecticut; Estados Unidos
Fil: Merow, Cory. University of Connecticut; Estados Unidos
Fil: Li, Yaoqi. Xi’an Jiaotong-Liverpool University. Department of Health and Environmental Sciences; China
Fil: Huynh, Kimberly M.. University of Arizona; Estados Unidos
Fil: Ernst, Kacey. University of Arizona; Estados Unidos
Fil: Baldwin, Elizabeth. University of Arizona; Estados Unidos
Fil: Foden, Wendy. STELLENBOSCH UNIVERSITY (SUN);
Fil: Hannah, Lee. No especifíca;
Fil: Jørgensen, Peter M.. Missouri Botanical Garden; Estados Unidos
Fil: Kraft, Nathan J. B.. University of California at Los Angeles; Estados Unidos
Fil: Lovett, Jon C.. University of Leeds; Reino Unido
Fil: Marquet, Pablo A.. Pontificia Universidad Católica de Chile; Chile
Fil: McGill, Brian J.. University of Maine; Estados Unidos
Fil: Morueta-Holme, Naia. Universidad de Copenhagen; Dinamarca
Fil: Neves, Danilo M.. Universidade Federal de Minas Gerais; Brasil
Fil: Núñez Regueiro, Mauricio Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; Argentina
Fil: Oliveira-Filho, Ary T.. Universidade Federal de Minas Gerais; Brasil
Fil: Peet, Robert K.. University of North Carolina; Estados Unidos
Fil: Pillet, Michiel. University of Arizona; Estados Unidos
Fil: Roehrdanz, Patrick R.. No especifíca;
Fil: Sandel, Brody. Santa Clara University. Department of Biology; Estados Unidos
Fil: Serra-Diaz, Josep M.. University Aarhus; Dinamarca
Fil: Símová, Irena. CZECH ACADEMY OF SCIENCES (AVCR);
Fil: Svenning, Jens Christian. No especifíca;
Fil: Cuenin, Cyrille. No especifíca;
Fil: Weitemier, Trang D.. Arizona State University; Estados Unidos
Fil: Wiser, Susan. No especifíca;
Fil: López-Hoffman, Laura. University of Arizona; Estados Unidos
Materia
BIG DATA
BIODIVERSITY INFORMATICS
BIOGEOGRAPHY
DATABASE INTEGRATION
FUNCTIONAL TRAIT
TAXONOMIC SYSTEM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/205216

id CONICETDig_01433383ffbc9c9a0ddb1a513df86442
oai_identifier_str oai:ri.conicet.gov.ar:11336/205216
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge baseFeng, XiaoEnquist, Brian J.Park, Daniel S.Boyle, BradBreshears, David D.Gallagher, Rachael V.Lien, AaronNewman, Erica A.Burger, Joseph R.Maitner, Brian S.Merow, CoryLi, YaoqiHuynh, Kimberly M.Ernst, KaceyBaldwin, ElizabethFoden, WendyHannah, LeeJørgensen, Peter M.Kraft, Nathan J. B.Lovett, Jon C.Marquet, Pablo A.McGill, Brian J.Morueta-Holme, NaiaNeves, Danilo M.Núñez Regueiro, Mauricio ManuelOliveira-Filho, Ary T.Peet, Robert K.Pillet, MichielRoehrdanz, Patrick R.Sandel, BrodySerra-Diaz, Josep M.Símová, IrenaSvenning, Jens ChristianCuenin, CyrilleWeitemier, Trang D.Wiser, SusanLópez-Hoffman, LauraBIG DATABIODIVERSITY INFORMATICSBIOGEOGRAPHYDATABASE INTEGRATIONFUNCTIONAL TRAITTAXONOMIC SYSTEMhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives.Fil: Feng, Xiao. Florida State University; Estados UnidosFil: Enquist, Brian J.. University of Arizona; Estados UnidosFil: Park, Daniel S.. Purdue University; Estados UnidosFil: Boyle, Brad. University of Arizona; Estados UnidosFil: Breshears, David D.. University of Arizona; Estados UnidosFil: Gallagher, Rachael V.. University of Western Australia; AustraliaFil: Lien, Aaron. University of Arizona; Estados UnidosFil: Newman, Erica A.. University of Arizona; Estados UnidosFil: Burger, Joseph R.. University of Kentucky; Estados UnidosFil: Maitner, Brian S.. University of Connecticut; Estados UnidosFil: Merow, Cory. University of Connecticut; Estados UnidosFil: Li, Yaoqi. Xi’an Jiaotong-Liverpool University. Department of Health and Environmental Sciences; ChinaFil: Huynh, Kimberly M.. University of Arizona; Estados UnidosFil: Ernst, Kacey. University of Arizona; Estados UnidosFil: Baldwin, Elizabeth. University of Arizona; Estados UnidosFil: Foden, Wendy. STELLENBOSCH UNIVERSITY (SUN);Fil: Hannah, Lee. No especifíca;Fil: Jørgensen, Peter M.. Missouri Botanical Garden; Estados UnidosFil: Kraft, Nathan J. B.. University of California at Los Angeles; Estados UnidosFil: Lovett, Jon C.. University of Leeds; Reino UnidoFil: Marquet, Pablo A.. Pontificia Universidad Católica de Chile; ChileFil: McGill, Brian J.. University of Maine; Estados UnidosFil: Morueta-Holme, Naia. Universidad de Copenhagen; DinamarcaFil: Neves, Danilo M.. Universidade Federal de Minas Gerais; BrasilFil: Núñez Regueiro, Mauricio Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Oliveira-Filho, Ary T.. Universidade Federal de Minas Gerais; BrasilFil: Peet, Robert K.. University of North Carolina; Estados UnidosFil: Pillet, Michiel. University of Arizona; Estados UnidosFil: Roehrdanz, Patrick R.. No especifíca;Fil: Sandel, Brody. Santa Clara University. Department of Biology; Estados UnidosFil: Serra-Diaz, Josep M.. University Aarhus; DinamarcaFil: Símová, Irena. CZECH ACADEMY OF SCIENCES (AVCR);Fil: Svenning, Jens Christian. No especifíca;Fil: Cuenin, Cyrille. No especifíca;Fil: Weitemier, Trang D.. Arizona State University; Estados UnidosFil: Wiser, Susan. No especifíca;Fil: López-Hoffman, Laura. University of Arizona; Estados UnidosWiley Blackwell Publishing, Inc2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/205216Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; et al.; A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 31; 7; 4-2022; 1242-12601466-822XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13497info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:46Zoai:ri.conicet.gov.ar:11336/205216instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:06:46.969CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
title A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
spellingShingle A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
Feng, Xiao
BIG DATA
BIODIVERSITY INFORMATICS
BIOGEOGRAPHY
DATABASE INTEGRATION
FUNCTIONAL TRAIT
TAXONOMIC SYSTEM
title_short A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
title_full A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
title_fullStr A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
title_full_unstemmed A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
title_sort A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base
dc.creator.none.fl_str_mv Feng, Xiao
Enquist, Brian J.
Park, Daniel S.
Boyle, Brad
Breshears, David D.
Gallagher, Rachael V.
Lien, Aaron
Newman, Erica A.
Burger, Joseph R.
Maitner, Brian S.
Merow, Cory
Li, Yaoqi
Huynh, Kimberly M.
Ernst, Kacey
Baldwin, Elizabeth
Foden, Wendy
Hannah, Lee
Jørgensen, Peter M.
Kraft, Nathan J. B.
Lovett, Jon C.
Marquet, Pablo A.
McGill, Brian J.
Morueta-Holme, Naia
Neves, Danilo M.
Núñez Regueiro, Mauricio Manuel
Oliveira-Filho, Ary T.
Peet, Robert K.
Pillet, Michiel
Roehrdanz, Patrick R.
Sandel, Brody
Serra-Diaz, Josep M.
Símová, Irena
Svenning, Jens Christian
Cuenin, Cyrille
Weitemier, Trang D.
Wiser, Susan
López-Hoffman, Laura
author Feng, Xiao
author_facet Feng, Xiao
Enquist, Brian J.
Park, Daniel S.
Boyle, Brad
Breshears, David D.
Gallagher, Rachael V.
Lien, Aaron
Newman, Erica A.
Burger, Joseph R.
Maitner, Brian S.
Merow, Cory
Li, Yaoqi
Huynh, Kimberly M.
Ernst, Kacey
Baldwin, Elizabeth
Foden, Wendy
Hannah, Lee
Jørgensen, Peter M.
Kraft, Nathan J. B.
Lovett, Jon C.
Marquet, Pablo A.
McGill, Brian J.
Morueta-Holme, Naia
Neves, Danilo M.
Núñez Regueiro, Mauricio Manuel
Oliveira-Filho, Ary T.
Peet, Robert K.
Pillet, Michiel
Roehrdanz, Patrick R.
Sandel, Brody
Serra-Diaz, Josep M.
Símová, Irena
Svenning, Jens Christian
Cuenin, Cyrille
Weitemier, Trang D.
Wiser, Susan
López-Hoffman, Laura
author_role author
author2 Enquist, Brian J.
Park, Daniel S.
Boyle, Brad
Breshears, David D.
Gallagher, Rachael V.
Lien, Aaron
Newman, Erica A.
Burger, Joseph R.
Maitner, Brian S.
Merow, Cory
Li, Yaoqi
Huynh, Kimberly M.
Ernst, Kacey
Baldwin, Elizabeth
Foden, Wendy
Hannah, Lee
Jørgensen, Peter M.
Kraft, Nathan J. B.
Lovett, Jon C.
Marquet, Pablo A.
McGill, Brian J.
Morueta-Holme, Naia
Neves, Danilo M.
Núñez Regueiro, Mauricio Manuel
Oliveira-Filho, Ary T.
Peet, Robert K.
Pillet, Michiel
Roehrdanz, Patrick R.
Sandel, Brody
Serra-Diaz, Josep M.
Símová, Irena
Svenning, Jens Christian
Cuenin, Cyrille
Weitemier, Trang D.
Wiser, Susan
López-Hoffman, Laura
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv BIG DATA
BIODIVERSITY INFORMATICS
BIOGEOGRAPHY
DATABASE INTEGRATION
FUNCTIONAL TRAIT
TAXONOMIC SYSTEM
topic BIG DATA
BIODIVERSITY INFORMATICS
BIOGEOGRAPHY
DATABASE INTEGRATION
FUNCTIONAL TRAIT
TAXONOMIC SYSTEM
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives.
Fil: Feng, Xiao. Florida State University; Estados Unidos
Fil: Enquist, Brian J.. University of Arizona; Estados Unidos
Fil: Park, Daniel S.. Purdue University; Estados Unidos
Fil: Boyle, Brad. University of Arizona; Estados Unidos
Fil: Breshears, David D.. University of Arizona; Estados Unidos
Fil: Gallagher, Rachael V.. University of Western Australia; Australia
Fil: Lien, Aaron. University of Arizona; Estados Unidos
Fil: Newman, Erica A.. University of Arizona; Estados Unidos
Fil: Burger, Joseph R.. University of Kentucky; Estados Unidos
Fil: Maitner, Brian S.. University of Connecticut; Estados Unidos
Fil: Merow, Cory. University of Connecticut; Estados Unidos
Fil: Li, Yaoqi. Xi’an Jiaotong-Liverpool University. Department of Health and Environmental Sciences; China
Fil: Huynh, Kimberly M.. University of Arizona; Estados Unidos
Fil: Ernst, Kacey. University of Arizona; Estados Unidos
Fil: Baldwin, Elizabeth. University of Arizona; Estados Unidos
Fil: Foden, Wendy. STELLENBOSCH UNIVERSITY (SUN);
Fil: Hannah, Lee. No especifíca;
Fil: Jørgensen, Peter M.. Missouri Botanical Garden; Estados Unidos
Fil: Kraft, Nathan J. B.. University of California at Los Angeles; Estados Unidos
Fil: Lovett, Jon C.. University of Leeds; Reino Unido
Fil: Marquet, Pablo A.. Pontificia Universidad Católica de Chile; Chile
Fil: McGill, Brian J.. University of Maine; Estados Unidos
Fil: Morueta-Holme, Naia. Universidad de Copenhagen; Dinamarca
Fil: Neves, Danilo M.. Universidade Federal de Minas Gerais; Brasil
Fil: Núñez Regueiro, Mauricio Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; Argentina
Fil: Oliveira-Filho, Ary T.. Universidade Federal de Minas Gerais; Brasil
Fil: Peet, Robert K.. University of North Carolina; Estados Unidos
Fil: Pillet, Michiel. University of Arizona; Estados Unidos
Fil: Roehrdanz, Patrick R.. No especifíca;
Fil: Sandel, Brody. Santa Clara University. Department of Biology; Estados Unidos
Fil: Serra-Diaz, Josep M.. University Aarhus; Dinamarca
Fil: Símová, Irena. CZECH ACADEMY OF SCIENCES (AVCR);
Fil: Svenning, Jens Christian. No especifíca;
Fil: Cuenin, Cyrille. No especifíca;
Fil: Weitemier, Trang D.. Arizona State University; Estados Unidos
Fil: Wiser, Susan. No especifíca;
Fil: López-Hoffman, Laura. University of Arizona; Estados Unidos
description Aim: Addressing global environmental challenges requires access to biodiversity data across wide spatial, temporal and taxonomic scales. Availability of such data has increased exponentially recently with the proliferation of biodiversity databases. However, heterogeneous coverage, protocols, and standards have hampered integration among these databases. To stimulate the next stage of data integration, here we present a synthesis of major databases, and investigate (a) how the coverage of databases varies across taxonomy, space, and record type; (b) what degree of integration is present among databases; (c) how integration of databases can increase biodiversity knowledge; and (d) the barriers to database integration. Location: Global. Time period: Contemporary. Major taxa studied: Plants and vertebrates. Methods: We reviewed 12 established biodiversity databases that mainly focus on geographic distributions and functional traits at global scale. We synthesized information from these databases to assess the status of their integration and major knowledge gaps and barriers to full integration. We estimated how improved integration can increase the data coverage for terrestrial plants and vertebrates. Results: Every database reviewed had a unique focus of data coverage. Exchanges of biodiversity information were common among databases, although not always clearly documented. Functional trait databases were more isolated than those pertaining to species distributions. Variation and potential incompatibility of taxonomic systems used by different databases posed a major barrier to data integration. We found that integration of distribution databases could lead to increased taxonomic coverage that corresponds to 23 years’ advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases. Main conclusions: Rapid increases in biodiversity knowledge can be achieved through the integration of databases, providing the data necessary to address critical environmental challenges. Full integration across databases will require tackling the major impediments to data integration: taxonomic incompatibility, lags in data exchange, barriers to effective data synchronization, and isolation of individual initiatives.
publishDate 2022
dc.date.none.fl_str_mv 2022-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/205216
Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; et al.; A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 31; 7; 4-2022; 1242-1260
1466-822X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/205216
identifier_str_mv Feng, Xiao; Enquist, Brian J.; Park, Daniel S.; Boyle, Brad; Breshears, David D.; et al.; A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 31; 7; 4-2022; 1242-1260
1466-822X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13497
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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