Estimating global arthropod species richness: refining probabilistic models using probability bounds analysis

0381630 - BC 2013 RIV DE eng J - Journal Article
Hamilton, A. J. - Novotný, Vojtěch - Waters, E. K. - Basset, Y. - Benke, K. K. - Grimbacher, P. S. - Miller, S. E. - Samuelson, G. A. - Weiblen, G. D. - Yen, J. D. L. - Stork, N. E.
Estimating global arthropod species richness: refining probabilistic models using probability bounds analysis.
Oecologia. Roč. 171, č. 2 (2013), s. 357-365. ISSN 0029-8549. E-ISSN 1432-1939
R&D Projects: GA MŠMT(CZ) LH11008; GA ČR GA206/09/0115
Grant - others:Czech Ministry of Education(CZ) CZ.1.07/2.3.00/20.0064; National Science Foundarion(US) DEB-0841885; Otto Kinne Foundation, Darwin Initiative(GB) 19-008
Institutional research plan: CEZ:AV0Z50070508
Institutional support: RVO:60077344
Keywords : host specificity * model * Monte Carlo
Subject RIV: EH - Ecology, Behaviour
Impact factor: 3.248, year: 2013
http://link.springer.com/article/10.1007%2Fs00442-012-2434-5

Global estimates of arthropod diversity are refined using probabilistic version of diversity extrapolation models, applied to an extensive data set on plant-herbivore food webs from New Guinea.
Permanent Link: http://hdl.handle.net/11104/0217662