Quantitative tools for perfecting species lists

摘要: A substantial body of literature has accumulated on the topic estimation species richness by extrapolation. However, most these methods rely an objective sampling nature. This condition is difficult to meet and seldom achieved for large regions. Furthermore, scientists conducting biological surveys often already have preliminary but subjectively gathered lists, would like assess completeness such and/or find a way perfect them. We propose several strategies utilizing external data (such as might be obtained using GIS) aid in completion lists. These include: (i) existing lists develop predictive models; (ii) uniqueness environment guide underrepresented species; (iii) spectral heterogeneity locate environmentally heterogeneous regions; (iv) combining with statistical model-building iterative manner. demonstrate potential approaches simulation case studies from Oklahoma. Copyright © 2002 John Wiley & Sons, Ltd.