On estimating the number of species from the discovery record
Solow, Andrew R.
Smith, Woollcott K.
MetadataShow full item record
KeywordLarge marine animals; Maximum likelihood estimation; Non-stationary poisson process; Taxonomy
A common approach to estimating the number of species in a taxonomic or other group is to extrapolate the temporal pattern of historical species discoveries or descriptions. A formal statistical approach to this problem is described. This approach involves fitting an explicit model of the discovery record by maximum like lihood and using the fitted model to estimate the number of undiscovered species. The approach is applied to a description record of large marine animals covering the period 1828-1996. The estimated number of undiscovered species in this group is around 10 with an upper 0.95 confidence bound of around 16.
Author Posting. © Royal Society, 2005. This article is posted here by permission of Royal Society for personal use, not for redistribution. The definitive version was published in Proceedings of the Royal Society of London B 272 (2005): 285-287, doi:10.1098/rspb.2004.2955.
Showing items related by title, author, creator and subject.
Estimating hydrodynamic roughness in a wave-dominated environment with a high-resolution acoustic Doppler profiler Lacy, Jessica R.; Sherwood, Christopher R.; Wilson, Douglas J.; Chisholm, Thomas A.; Gelfenbaum, Guy R. (American Geophysical Union, 2005-06-30)Hydrodynamic roughness is a critical parameter for characterizing bottom drag in boundary layers, and it varies both spatially and temporally due to variation in grain size, bedforms, and saltating sediment. In this paper ...
Holbrook, W. Steven; Fer, Ilker; Schmitt, Raymond W.; Lizarralde, Daniel; Klymak, Jody M.; Helfrich, L. Cody; Kubichek, Robert (American Meteorological Society, 2013-08)Seismic images of oceanic thermohaline finestructure record vertical displacements from internal waves and turbulence over large sections at unprecedented horizontal resolution. Where reflections follow isopycnals, their ...
Sohn, Robert A. (2013-05-28)I discuss the general problem of fitting mixing models to ratio-ratio data, and derive formulae for applying non-linear Maximum Likelihood methods for parameter estimation. To estimate mixing model parameters in the ...