title: Systematic data in biodiversity studies: use it or lose it.
abstract: Systematic data in the form of collections data are useful in biodiversity studies in many ways, most importantly because they serve as the only direct evidence of species distributions. However, collecting bias has been demonstrated for most areas of the world and has led some to propose methods that circumvent the need for collections data. New methods that model collections data in combination with abiotic data and predict potential total species distribution are examined using 25,111 records representing 5,123 species of plants and animals from Guyana; some methods use the reduced number of 320 species. These modeled species distributions are evaluated and potential high-priority biodiversity sites are selected based on the concept of irreplaceability, a measure of uniqueness. The major impediments to using collections data are the lack of data that are available in a useful format and the reluctance of most systematists to become involved in biodiversity and conservation research.
authors.affiliation: U.S. National Herbarium, Smithsonian Institution, Washington, D.C. 20560-0166, USA. funkv@nmnh.si.edu
authors.forename: V A
authors.initials: VA
authors.lastname: Funk
authors.forename: K S
authors.initials: KS
authors.lastname: Richardson
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004463:Ecology; D017753:Ecosystem; D004777:Environment; D019143:Evolution, Molecular; D006172:Guyana; D015233:Models, Statistical; D010944:Plants / Q000235:genetics; D012984:Software; D013045:Species Specificity; D013223:Statistics as Topic / Q000379:methods; D013696:Temperature