Predicting unknown species numbers using discovery curves.
A common approach to estimating the total number of extant species in a taxonomic group is to extrapolate from the temporal pattern of known species descriptions. A formal statistical approach to this problem is provided. The approach is applied to a number of global datasets for birds, ants, mosses...
| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Journal article |
| Taal: | English |
| Gepubliceerd in: |
2007
|
| _version_ | 1826272319464538112 |
|---|---|
| author | Bebber, D Marriott, F Gaston, K Harris, S Scotland, R |
| author_facet | Bebber, D Marriott, F Gaston, K Harris, S Scotland, R |
| author_sort | Bebber, D |
| collection | OXFORD |
| description | A common approach to estimating the total number of extant species in a taxonomic group is to extrapolate from the temporal pattern of known species descriptions. A formal statistical approach to this problem is provided. The approach is applied to a number of global datasets for birds, ants, mosses, lycophytes, monilophytes (ferns and horsetails), gymnosperms and also to New World grasses and UK flowering plants. Overall, our results suggest that unless the inventory of a group is nearly complete, estimating the total number of species is associated with very large margins of error. The strong influence of unpredictable variations in the discovery process on species accumulation curves makes these data unreliable in estimating total species numbers. |
| first_indexed | 2024-03-06T22:10:41Z |
| format | Journal article |
| id | oxford-uuid:51b124d9-a2ce-4bdc-a892-15dd4c5978d6 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T22:10:41Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | oxford-uuid:51b124d9-a2ce-4bdc-a892-15dd4c5978d62022-03-26T16:21:10ZPredicting unknown species numbers using discovery curves.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:51b124d9-a2ce-4bdc-a892-15dd4c5978d6EnglishSymplectic Elements at Oxford2007Bebber, DMarriott, FGaston, KHarris, SScotland, RA common approach to estimating the total number of extant species in a taxonomic group is to extrapolate from the temporal pattern of known species descriptions. A formal statistical approach to this problem is provided. The approach is applied to a number of global datasets for birds, ants, mosses, lycophytes, monilophytes (ferns and horsetails), gymnosperms and also to New World grasses and UK flowering plants. Overall, our results suggest that unless the inventory of a group is nearly complete, estimating the total number of species is associated with very large margins of error. The strong influence of unpredictable variations in the discovery process on species accumulation curves makes these data unreliable in estimating total species numbers. |
| spellingShingle | Bebber, D Marriott, F Gaston, K Harris, S Scotland, R Predicting unknown species numbers using discovery curves. |
| title | Predicting unknown species numbers using discovery curves. |
| title_full | Predicting unknown species numbers using discovery curves. |
| title_fullStr | Predicting unknown species numbers using discovery curves. |
| title_full_unstemmed | Predicting unknown species numbers using discovery curves. |
| title_short | Predicting unknown species numbers using discovery curves. |
| title_sort | predicting unknown species numbers using discovery curves |
| work_keys_str_mv | AT bebberd predictingunknownspeciesnumbersusingdiscoverycurves AT marriottf predictingunknownspeciesnumbersusingdiscoverycurves AT gastonk predictingunknownspeciesnumbersusingdiscoverycurves AT harriss predictingunknownspeciesnumbersusingdiscoverycurves AT scotlandr predictingunknownspeciesnumbersusingdiscoverycurves |