Global Species Richness Estimates Have Not Converged. Caley, M. J., Fisher, R., & Mengersen, K. 29(4):187–188. Paper doi abstract bibtex 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.
@article{caleyGlobalSpeciesRichness2014,
title = {Global Species Richness Estimates Have Not Converged},
author = {Caley, M. Julian and Fisher, Rebecca and Mengersen, Kerrie},
date = {2014-02},
journaltitle = {Trends in Ecology \& Evolution},
volume = {29},
pages = {187--188},
issn = {0169-5347},
doi = {10.1016/j.tree.2014.02.002},
url = {https://doi.org/10.1016/j.tree.2014.02.002},
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 = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13077594,biodiversity,communicating-uncertainty,environmental-modelling,global-scale,integration-techniques,modelling,modelling-uncertainty,species-richness,uncertainty},
number = {4}
}
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