Arturo H. Ariño

Prof. Arturo H. Ariño

orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 October 2010 in Biodiversity Informatics
Verified
Journal Article
Open access
PDF file
AAArturo H. Ariño
Arturo H. Ariño
Approaches to estimating the universe of natural history collections data

11 September 2019 in PLOS ONE
Verified
Journal Article
Open access
PDF file
JBJoan E Ball-Damerow
Joan E Ball-Damerow
LBLaura Brenskelle
Laura Brenskelle
NBNarayani Barve
Narayani Barve
PSPamela S Soltis
Pamela S Soltis
PSPetra Sierwald
Petra Sierwald
RGRobert P Guralnick
Robert P Guralnick
Our world is in the midst of unprecedented change—climate shifts and sustained, widespread habitat degradation have led to dramatic declines in biodiversity rivaling historical extinction events. At the same time, new approaches to publishing and integrating previously disconnected data resources promise to help provide the evidence needed for more efficient and effective conservation and management. Stakeholders have invested considerable resources to contribute to online databases of species occurrences. However, estimates suggest that only 10% of biocollections are available in digital form. The biocollections community must therefore continue to promote digitization efforts, which in part requires demonstrating compelling applications of the data. Our overarching goal is therefore to determine trends in use of mobilized species occurrence data since 2010, as online systems have grown and now provide over one billion records. To do this, we characterized 501 papers that use openly accessible biodiversity databases. Our standardized tagging protocol was based on key topics of interest, including: database(s) used, taxa addressed, general uses of data, other data types linked to species occurrence data, and data quality issues addressed. We found that the most common uses of online biodiversity databases have been to estimate species distribution and richness, to outline data compilation and publication, and to assist in developing species checklists or describing new species. Only 69% of papers in our dataset addressed one or more aspects of data quality, which is low considering common errors and biases known to exist in opportunistic datasets. Globally, we find that biodiversity databases are still in the initial stages of data compilation. Novel and integrative applications are restricted to certain taxonomic groups and regions with higher numbers of quality records. Continued data digitization, publication, enhancement, and quality control efforts are necessary to make biodiversity science more efficient and relevant in our fast-changing environment.

9 July 2013 in Biodiversity Informatics
Verified
Journal Article
Open access
PDF file
GSGaiji Samy
Gaiji Samy
VCVishwas Chavan
Vishwas Chavan
AAArturo H. Ariño
Arturo H. Ariño
JOJavier Otegui
Javier Otegui
DHDonald Hobern
Donald Hobern
EREstrella Robles
Estrella Robles
Content assessment of the primary biodiversity data published through GBIF network: Status, challenges and potentials

1 July 1995 in Evolutionary Ecology
Verified
Journal Article
Closed access
PDF file
AAArturo H. Ariño
Arturo H. Ariño
SPStuart L. Pimm
Stuart L. Pimm

1 February 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
EREsther Rivas
Esther Rivas
JSJose-Luis Santiago
Jose-Luis Santiago
Yolanda LechónYolanda Lechón
Yolanda Lechón
FMFernando Martín
Fernando Martín
AAArturo H. Ariño
Arturo H. Ariño
JSJesús Miguel Santamaría
Jesús Miguel Santamaría

1 January 2009 in Ecological Indicators
Verified
Journal Article
Closed access
PLPedro M. Leunda
Pedro M. Leunda
JOJavier Oscoz
Javier Oscoz
Rafael MirandaRafael Miranda
Rafael Miranda
AAArturo H. Ariño
Arturo H. Ariño