| Literature DB >> 24569101 |
M Julian Caley1, Rebecca Fisher2, Kerrie Mengersen3.
Abstract
We demonstrate that after more than six decades, estimates of global species richness have failed to converge, remain highly uncertain, and in many cases, are logically inconsistent. Convergence in these estimates could be accelerated by adaptive learning methods where the estimation of uncertainty is prioritised and used to guide future research.Keywords: Bayesian analysis; adaptive learning; biodiversity; global species richness
Mesh:
Year: 2014 PMID: 24569101 DOI: 10.1016/j.tree.2014.02.002
Source DB: PubMed Journal: Trends Ecol Evol ISSN: 0169-5347 Impact factor: 17.712