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oai:www.ideals.illinois.edu:2142/83071 2023-07-11 col_2142_5131 col_2142_14737 com_2142_5130 com_2142_690 com_2142_397

Gertner, George Z. Cao, Xiangchi 2015-09-25T21:00:13Z 2015-09-25T21:00:13Z 10000-01-01 2001 2001 This study presents sophisticated error analysis of the Shannon index in time and space. Error of current estimate increases proportional to measurement while the total forecasting error increases very fast in time. Spatial variation contributes the most to the total error of the Shannon index. Even under 100% measurement error, the spatial variation contributes over 65% to 80% while the measurement error contributes only 20% to 35%. Random error and modeling error contribute less than 5% to the total error. Made available in DSpace on 2015-09-25T21:00:13Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3017034.pdf: 5222700 bytes, checksum: 7165e5944bda3aa51cf7df665157d209 (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 84352 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 115 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/83071 (MiAaPQ)AAI3017034 eng Biology, General Stochastic Dynamics Models of Plant Population and Species Diversity text Natural Resrouces and Environmental Sciences Natural Resrouces and Environmental Sciences University of Illinois at Urbana-Champaign Dissertation Ph.D.