Global species richness estimates have not converged

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...

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Veröffentlicht in:	Trends in ecology & evolution (Amsterdam) 2014-04, Vol.29 (4), p.187-188
Hauptverfasser:	Caley, M. Julian, Fisher, Rebecca, Mengersen, Kerrie
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive learning Animal and plant ecology Animal, plant and microbial ecology Applied ecology Bayes Theorem Bayesian analysis Biodiversity Biological and medical sciences Conservation, protection and management of environment and wildlife Fundamental and applied biological sciences. Psychology General aspects global species richness Models, Biological Uncertainty
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Beschreibung
Zusammenfassung:	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.
ISSN:	0169-5347 1872-8383
DOI:	10.1016/j.tree.2014.02.002