Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach

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...

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Main Author: Bissinger, Jan E.
Published: University of Liverpool 2008
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502002
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5020022015-03-20T05:22:40ZPredicting microalgal specific growth rates in response to temperature and light : a multi-species approachBissinger, Jan E.2008Temperature 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.577.6University of Liverpoolhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502002Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 577.6
spellingShingle 577.6
Bissinger, Jan E.
Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
description 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.
author Bissinger, Jan E.
author_facet Bissinger, Jan E.
author_sort Bissinger, Jan E.
title Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
title_short Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
title_full Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
title_fullStr Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
title_full_unstemmed Predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
title_sort predicting microalgal specific growth rates in response to temperature and light : a multi-species approach
publisher University of Liverpool
publishDate 2008
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502002
work_keys_str_mv AT bissingerjane predictingmicroalgalspecificgrowthratesinresponsetotemperatureandlightamultispeciesapproach
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