Back to results

University of Illinois at Urbana-Champaign

Stochastic Dynamics Models of Plant Population and Species Diversity

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Natural Resrouces and Environmental Sciences
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cao, Xiangchi
Contributors dc:contributor
  • Gertner, George Z.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3017034
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/83071

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Cao, Xiangchi. Stochastic Dynamics Models of Plant Population and Species Diversity. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/83071