Biodiversity informatics

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Graphical representations of prehistoric biodiversity data like this are slowly becoming easier with the advancement of biodiversity informatics standards and tools.

Biodiversity informatics is the application of informatics techniques to biodiversity information for improved management, presentation, discovery, exploration, and analysis. It typically builds on a foundation of taxonomic, biogeographic, and synecologic information stored in digital form, which, with the application of modern computer techniques, can yield new ways to view and analyze existing information, as well as predictive models for information that does not yet exist.[1]

Biodiversity informatics has also been described by others as "the creation, integration, analysis, and understanding of information regarding biological diversity"[2] and a field of science "that brings information science and technologies to bear on the data and information generated by the study of organisms, their genes, and their interactions."[3]

History

According to correspondence reproduced by Walter Berendsohn[4], the term "biodiversity informatics" was coined by John Whiting in 1992 to cover the activities of an entity known as the Canadian Biodiversity Informatics Consortium (CBIC), a group involved with fusing basic biodiversity information with environmental economics and geospatial information. Subsequently it appears to have lost at least some connection with the geospatial world, becoming more closely associated with the computerized management of biodiversity information.[5] However, modern efforts to document global biodiversity patterns and processes using georeferencing and other geoinformatics tools have re-emphasized some of the original spirit of the CBIC.[6]

Biodiversity informatics itself likely grew from the construction of the first computerized taxonomic databases in the early 1970s, progressing through the subsequent development of distributed search tools towards the late 1990s, including Species Analyst, the North American Biodiversity Information Network (NABIN), and CONABIO.[7] Other contributions came in the form of a variety of niche modeling tools and algorithms to process digitized biodiversity data from the mid-1980s onwards.[8]

The U.S. journal Science devoted a special issue to "Bioinformatics for Biodiversity" in September 2000[9], the Global Biodiversity Information Facility (GBIF) was officially formed in 2001[10], the journal Biodiversity Informatics commenced publication in 2004, and several international conferences brought together biodiversity researchers during the twenty-first century.[3][11]

Application

Biodiversity informatics can help tackle problems and tasks such as the following[3][12][13]:

  • the tracking of invasive species
  • the creation of new biodiversity mapping, infrastructure, and species identification models
  • the development of new modeling and data integration tools
  • the creation of global registries for the resources that are basic to biodiversity informatics
  • the construction of a solid global taxonomic infrastructure
  • the creation of ontologies for biodiversity data
  • the creation of a single-consensus classification system
  • the development of algorithms to cope with variant representations of identifiers such as species names and authorities
  • the transition of content in taxonomic databases to a machine-readable and -queryable format

Informatics

Providing online, coherent, standardized digital access to the vast collection of disparate primary biodiversity data is a task at the heart of regional and global biodiversity data networks. Secondary sources of biodiversity data, including relevant scientific literature, can be potentially parsed by specialized information retrieval algorithms to extract the relevant primary biodiversity information that is reported therein, sometimes in summary form, but more frequently as primary observations in narrative or tabular form.[1] The Biodiversity Heritage Library is an example of this, aiming to digitize substantial portions of the out-of-copyright taxonomic literature, which is then subjected to OCR (optical character recognition) so as to be amenable to further processing.[14]

Like other data-related disciplines, biodiversity informatics benefits from the adoption of appropriate standards and protocols in order to support machine-machine transmission and interoperability of information within its particular domain. Examples of relevant standards include[1]:

Further reading

External links

Notes

This article reuses some content from the Wikipedia article.

References

  1. 1.0 1.1 1.2 Berendsohn, W. G.; Güntsch, A.; Hoffmann, N.; Kohlbecker, A.; Luther, K.; Müller, A. (November 2011). "Biodiversity information platforms: From standards to interoperability". ZooKeys (150): 71–87. doi:10.3897/zookeys.150.2166. PMC 3234432. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234432/. Retrieved 18 June 2014. 
  2. "Biodiversity Informatics". University of Kansas Libraries. https://journals.ku.edu/index.php/jbi. Retrieved 18 June 2014. 
  3. 3.0 3.1 3.2 "e-Biosphere '09: International Conference on Biodiversity Informatics". Smithsonian Institution. 2009. http://www.e-biosphere09.org/. Retrieved 18 June 2014. 
  4. Güntsch, Anton; Berendsohn, Walter (18 August 2010). ""Biodiversity Informatics", The Term". Botanic Garden and Botanical Museum Berlin-Dahlem. Archived from the original on 11 May 2013. https://web.archive.org/web/20130511091435/http://www.bgbm.org/BioDivInf/TheTerm.htm. Retrieved 18 June 2014. 
  5. Bisby, Frank A. (September 2000). "The Quiet Revolution: Biodiversity Informatics and the Internet". Science 289 (5488): 2309–2312. doi:10.1126/science.289.5488.2309. PMID 11009408. http://www.sciencemag.org/content/289/5488/2309.abstract. Retrieved 18 June 2014. 
  6. Guralnick, R. P. (January 2009). "Biodiversity Informatics: Automated Approaches for Documenting Global Biodiversity Patterns and Processes". Bioinformatics 25 (4): 421–428. doi:10.1093/bioinformatics/btn659. PMID 19129210. http://bioinformatics.oxfordjournals.org/content/25/4/421.full. 
  7. Krishtalka, L.; Humphrey, P. S. (2000). "Can Natural History Museums Capture the Future?". BioScience 50 (7): 611–617. doi:10.1641/0006-3568(2000)050[0611:CNHMCT]2.0.CO;2. http://bioscience.oxfordjournals.org/content/50/7/611.full. Retrieved 18 June 2014. 
  8. Peterson, A. T.; Vieglais, D. (May 2001). "Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem". BioScience 51 (5): 363–371. doi:10.1641/0006-3568(2001)051[0363:PSIUEN]2.0.CO;2. http://www.cria.org.br/eventos/mfmpe/19_20jun2002_docs/BioScience%202001.pdf. Retrieved 18 June 2014. 
  9. "Bioinformatics for Biodiversity". Science 289 (5488): 2229–2440. September 2000. http://www.sciencemag.org/content/289/5488.toc. Retrieved 18 June 2014. 
  10. "What is GBIF?". GBIF. http://www.gbif.org/whatisgbif. Retrieved 18 June 2014. 
  11. "Biodiversity Informatics Horizons 2013". LifeWatch. 2013. http://conference.lifewatch.unisalento.it/index.php/EBIC/index/index. Retrieved 18 June 2014. 
  12. "e-Biosphere 09 Planning Workshop - Resolution" (PDF). Smithsonian Institution. 05 June 2009. http://www.e-biosphere09.org/assets/files/workshop/Resolution.pdf. Retrieved 18 June 2014. 
  13. Gordon, Dennis P. (May 2009). "Towards a management hierarchy (classification) for the Catalogue of Life". Catalogue of Life. http://www.catalogueoflife.org/col/info/hierarchy. Retrieved 18 June 2014. 
  14. "Biodiversity Heritage Library - About". Tangient LLC. 18 June 2014. http://biodivlib.wikispaces.com/About. Retrieved 18 June 2014.