Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502002
Title: Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
Author: Bissinger, Jan E.
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2008
Availability of Full Text:
Access through EThOS:
Abstract:
Temperature and light are key determinants of microalgal specific growth rates (μ) and hence also influence aquatic ecosystem dynamics. Despite this importance there is no clear consensus on the functions that should be used to model the effects of these environmental variables on within- and across-species microalgal growth rates. Therefore examining the biological basis and statistical fits of existing functions, and deriving new ones, comprise the main objective of this thesis. Using quantile regression, and information theory I have compared existing functions and derived new ones that describe microalgal maximum specific growth rates (μmax) in response to temperature, photon-flux density (PFD), daylength, and PFD, and daylength combined. The main findings are outlined in (i) to (v), below, (i) A comparison of the μmax temperature function derived here to the function of Eppley (1972), suggested that the Eppley curve intercept is too low and that models that incorporate the Eppley function may underestimate primary production by ~ 30%. (ii) My non-linear general model of microalgal growth in response to daylength will be useful in comparative studies to normalise growth rates to a standard daylength.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.502002  DOI: Not available
Share: