Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.768291
Title: Methods for accurate evaluation of population abundance from ecological data
Author: Alqhtani, Manal
ISNI:       0000 0004 7653 3743
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2018
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Abstract:
An accurate evaluation of total population density is required in many ecological and biological field. To protect crops from pest attacks, the population density of pests must be evaluated adequately. Accurate information obtained as a result of trapping in ecological monitoring is beneficial for decision-making purposes when implementing a control action. In pest monitoring, a classic technique of evaluating density based on a statistical method may result in poor accuracy. Accuracy can be optimised by applying alternative numerical integration methods to the problem. We explain how insufficient information regarding population density negatively affects the accuracy of estimation. Consequently, a coarse grid problem arises where the numerical integration methods are no longer valid. The evaluation of integration error is now a random variable and the probabilistic approach is used, due to the uncertainty in sampling data. In this thesis several population models have been considered to explain that the value of correlation coefficient on a coarse sampling grid is lost even if the true value is close to one. Phenomenon of ghost synchronization has been observed when the value of correlation coefficient on a coarse sampling grid is close to one but in reality the dynamics are not correlated.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.768291  DOI: Not available
Keywords: QA Mathematics ; QH Natural history
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