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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11620%2F22%3A10452531" target="_blank" >RIV/00216208:11620/22:10452531 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11310/22:10452531

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=lyxw-~xo0t" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=lyxw-~xo0t</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/geb.13497" target="_blank" >10.1111/geb.13497</a>

Result language

angličtina

Original language name

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

Original language description

AimAddressing 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.LocationGlobal.Time periodContemporary.Major taxa studiedPlants and vertebrates.MethodsWe 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.ResultsEvery 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&apos; advancement in data accumulation, and improvement in taxonomic coverage could be as high as 22.4% for trait databases.Main conclusionsRapid 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10700 - Other natural sciences

Project

<a href="/en/project/GX20-29554X" target="_blank" >GX20-29554X: The equilibrium theory of biodiversity dynamics - macroecological perspective</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Global Ecology and Biogeography

ISSN

1466-822X

e-ISSN

—

Volume of the periodical

7

Issue of the periodical within the volume

31

Country of publishing house

GB - UNITED KINGDOM

Number of pages

19

Pages from-to

1242-1260

UT code for WoS article

000783348000001

EID of the result in the Scopus database

2-s2.0-85128256664