Predicting unknown species numbers using discovery curves

被引:111
作者
Bebber, Daniel P.
Marriott, Francis H. C.
Gaston, Kevin J.
Harris, Stephen A.
Scotland, Robert W.
机构
[1] Univ Oxford, Dept Plant Sci, Oxford OX3 0EX, England
[2] Univ Oxford, Dept Stat, Oxford OX1 3TG, England
[3] Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2TN, S Yorkshire, England
关键词
birds; ants; mosses; monilophytes; lycophytes; gymnosperms;
D O I
10.1098/rspb.2007.0464
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:1651 / 1658
页数:8
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