Barnacle demography: a matrix modelling approach
Barnacle demography: a matrix modelling approach
Mathematical models of the adult benthic phase of barnacles were investigated experimentally and new models produced in this thesis.
The predictions of a model of an open system with space-limited recruitment were investigated for the barnacle Semibalanus balanoides. A recruitment gradient was defined for Anglesey (Wales), which was used to investigate the model predictions for population structure in areas of different settlement. In general the predictions of the model were not supported by field observations. Possible reasons for the mismatch were discussed, but evidence for variable patch size was inferred from the data. Patch size would affect the predictions of the model as there would be no single scale of observation.
Linear deterministic and stochastic closed population models were used to investigate spatiotemporal variation in the barnacle Chthamalus montagui at four locations across Europe. The deterministic model indicated both small- and large-scale spatial variation in survival and growth, with Lisbon having higher growth and lower survival than Cork, Oviedo and Trieste. This was attributed to the high levels of human disturbance on the Lisbon shores. Interactions between large-scale spatial and temporal variation suggested that large-scale (both spatial and temporal) studies were required to investigate the demography of C. montagui. Elasticity analysis showed that C. montagui was a stress tolerant organism at Cork, Oviedo and Trieste as remaining in a size-class had the greatest effect on the population growth rate. However, growth and fertility also had a large effect on the population growth rate at Lisbon. The stochastic model gave similar results to the deterministic model, except at Cabo Raso (Lisbon). Thus, the stochastic model was insightful at this shore. The growth rate predicted by the deterministic model was always a slight overestimate of the stochastic model. Stochastic elasticities again predicted that C. montagui. was stress tolerant at Cork and Oviedo.
University of Southampton
Hyder, Kieran
dbe22915-476d-4d57-a189-344aca48f138
1999
Hyder, Kieran
dbe22915-476d-4d57-a189-344aca48f138
Hyder, Kieran
(1999)
Barnacle demography: a matrix modelling approach.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
Mathematical models of the adult benthic phase of barnacles were investigated experimentally and new models produced in this thesis.
The predictions of a model of an open system with space-limited recruitment were investigated for the barnacle Semibalanus balanoides. A recruitment gradient was defined for Anglesey (Wales), which was used to investigate the model predictions for population structure in areas of different settlement. In general the predictions of the model were not supported by field observations. Possible reasons for the mismatch were discussed, but evidence for variable patch size was inferred from the data. Patch size would affect the predictions of the model as there would be no single scale of observation.
Linear deterministic and stochastic closed population models were used to investigate spatiotemporal variation in the barnacle Chthamalus montagui at four locations across Europe. The deterministic model indicated both small- and large-scale spatial variation in survival and growth, with Lisbon having higher growth and lower survival than Cork, Oviedo and Trieste. This was attributed to the high levels of human disturbance on the Lisbon shores. Interactions between large-scale spatial and temporal variation suggested that large-scale (both spatial and temporal) studies were required to investigate the demography of C. montagui. Elasticity analysis showed that C. montagui was a stress tolerant organism at Cork, Oviedo and Trieste as remaining in a size-class had the greatest effect on the population growth rate. However, growth and fertility also had a large effect on the population growth rate at Lisbon. The stochastic model gave similar results to the deterministic model, except at Cabo Raso (Lisbon). Thus, the stochastic model was insightful at this shore. The growth rate predicted by the deterministic model was always a slight overestimate of the stochastic model. Stochastic elasticities again predicted that C. montagui. was stress tolerant at Cork and Oviedo.
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Published date: 1999
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Local EPrints ID: 463592
URI: http://eprints.soton.ac.uk/id/eprint/463592
PURE UUID: 184f4efb-1d25-4e4d-ac67-e6a050789ed4
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Date deposited: 04 Jul 2022 20:54
Last modified: 04 Jul 2022 20:54
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Author:
Kieran Hyder
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