Automated pre-processing strategies for species occurrence data used in biodiversity modelling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6279 LNAI, Issue PART 4, 2010, Pages 517-526

  Heap, Marshall J ^a   Culham, Alastair ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

Automated filtering and occurrence file generation; Biodiversity richness; Environmental niche modelling; Pre processing species occurrence data

Indexed keywords

AUTOMATIC GENERATION; CONTROL TESTS; DATA FILTERING; DATA PREPROCESSING; DATA SET SIZE; DATA SETS; ENVIRONMENTAL DATA; ENVIRONMENTAL NICHE MODELLING; FILE GENERATION; PRE-PROCESSING; SOFTWARE APPLICATIONS;

AUTOMATION; BIODIVERSITY; KNOWLEDGE BASED SYSTEMS; STATISTICAL TESTS;

DATA PROCESSING;

EID: 78649273180     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15384-6_55     Document Type: Conference Paper

References (34)

1. University of Idaho, college of Natural Resources, http://www.cnr.uidaho. edu/veg measure/Modules/Lessons/Module%207/7 2 Biodiversity.htm
2. Gurevitch, J., Scheiner, S.M., Fox, G.A.: The Ecology of Plants, 2nd edn. Sinauer Associates, Inc., Sunderland (2006)
3. Gaston, K.J.: Species richness: Measure and measurement. In: Gaston, K.J. (ed.) Biodiversity, a Biology of Numbers and Difference, vol. 396, pp. 77-113. Blackwell Science, Cambridge (1996)
4. Escalante, T., et al.: Ecological niche models and patterns of richness and endemism of the southern Andean genus Eurymetopum (Coleoptera, Cleridae). Rev. Bras. Entomol. 53(3), 379-385 (2009)
5. The OpenNLP Maxent Homepage, http://maxent.sourceforge.net/
6. Fielding, A.H., Bell, J.F.: A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24, 38-49 (1997)
7. Phillips, S.J., Anderson, R.P., Schapire, R.E.: Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231-259 (2006)
8. GBIF Data Portal, 01/03/2010, http://data.gbif.org
9. Thuiller, W., et al.: Climate change threats to plant diversity in Europe. Proc. Nat. Acad. Sci. USA 102, 8245-8250 (2005)
10. Oracle and Java |Technologies, http://www.oracle.com/us/technologies/ java/index.html
11. Bisby, F.A., Roskov, Y.R., Orrell, T.M., Nicolson, D., Paglinawan, L.E., et al. (eds.): Species 2000 & ITIS Catalogue of Life: 2009 Annual Checklist Taxonomic Classification. Species 2000, Reading, UK (2009), CD-ROM
12. Johnson, B.: Understanding the Global Strategy for Plant Conservation. In: Annual meeting of the North American Association For Environmental Education (2005)
13. McNeill, J., Barrie, F.R., Burdet, H.M., Demoulin, V., Hawksworth, D.J., et al.: International Code of Botanical Nomenclature (Vienna Code) adopted by the Seventh International Botanical Congress Vienna, Austria, July 2005, p. 568. A.R.G. Gantner Velag, Ruggell (2006)
14. International Commission on Zoological Nomenclature, International Code of Zoological Nomenclature, 4th edn. The Int. Trust for Zoological Nomenclature (1999)
15. Sneath, P.H.A.: International Code of Nomenclature of Bacteria: Bacteriological Code, 1990 Revision. ASM Press, Washington (1992)
16. Culham, A., Yesson, C.: Biodiversity informatics for climate change studies. In: Hodkinson, et al. (eds.) Climate Change and Systematics, Systematics Association, UK, pp. pp. XXX-YYY (2010)
17. Page, R.D.M.: A taxonomic search engine: Federating taxonomic databases using web services. BMC Bioinformatics 6, 48 (2005)
18. Page, R.D.M.: Taxonomic Names, Metadata, And The Semantic Web. Biodiversity Informatics 3, 1-15 (2006)
19. Chavan, V., Rane, N., Watve, A.: Resolving Taxonomic Discrepancies: Role Of Electronic Catalogues Of Known Organisms. Biodiversity Informatics 2, 70-78 (2005)
20. Patterson, D.J., Remsen, D., Marino, W.A., Norton, C.: Taxonomic Indexing Extending the Role of Taxonomy Systematic. Biology 55(3), 367-373 (2006)
21. openModeller, http://openmodeller.sourceforge.net/
22. Heywood, V.H., Culham, A.: The Impacts Of Climate Change On Plant Specie. In: Europe. Report to The Convention On The Conservation Of European Wildlife And Natural Habitats, Standing Committee 29th Meeting Bern (November 09, 2010)
23. Stockwell, D.R.B., Peterson, A.T.: Effects of sample size on accuracy of species distribution models. Ecol. Model. 148, 1-13 (2002)
24. Baldwin, R.A.: Use of Maximum Entropy Modeling in Wildlife Research. Entropy 11, 854-866 (2009)
25. Hernandez, P.A., Graham, C.H., Master, L.L., Albert, D.L.: The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29, 773-785 (2006)
26. Veloz, S.D.: Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models. J. Biogeogr. 36, 2290-2299 (2009)
27. Elith, J.: Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants. In: Ferson, S., Burgman, M. (eds.) Quantitative Methods for Conservation Biology, pp. 39-58. Springer, Heidelberg (2002)
28. Pearson, R.G., Raxworthy, C.J., Nakamura, M., Townsend-Peterson, A.: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeopraphy 34, 102-117 (2007)
29. Bioclim - WorldClim - Global Climate Data, http://www.worldclim.org/ bioclim
30. WorldClim - Global Climate Data, http://www.worldclim.org/
31. European Soil Data Center (ESDAC), http://eusoils.jrc.ec.europa.eu/ library/esdac/index.html
32. Biodivertido.blogspot.com, http://biodivertido.blogspot.com/2009/02/grid- data-shared-as-point-data-errors.html
33. Yesson, C., Brewer, P.W., Sutton, T., Caithness, N., Pahwa, J.S., et al.: How Global Is the Global Biodiversity Information Facility? PLoS ONE 2(11), e1124 (2007), doi:10.1371/journal.pone.0001124
34. O'Sullivan, D., Unwin, D.J.: Geographic Information Analysis. Wiley, USA (2003)