Abstract
A mathematical model was used to describe the population of the aquatic invasive species, Ciona intestinalis in the presence of cultured mussel production. A differential equation model was developed to represent the key life stages: egg, larva, recruit, juvenile and adult. Stage transition rates were calculated from time spent in a stage and transition probabilities. Because surface availability for the settlement phase is a key determinant of population growth, dead juvenile and dead adult stages were also modelled, together with their drop-off rates. This model incorporated temperature dependencies and an environmental carrying capacity. Model validation was carried out against field data collected from Georgetown Harbour, in 2008. Relative sensitivity indices were calculated to determine the most influential factors in the model. The results indicated that the modelled outputs were broadly in agreement with the observed data. Under baseline conditions the number of C. intestinalis increased from early September to late October, after which they reached a plateau at an abundance of approximately five individuals per cm2. Sensitivity analyses revealed that a reduction in spawning interval or the development time of larva accelerated C. intestinalis population growth. In contrast, decreasing either carrying capacity or the percentage drop-off of live juvenile and adult stages resulted in a decline in the population. This research provides the first detailed model describing population dynamics of C. intestinalis in mussel farms and will be valuable in exploring effective treatment strategies for this invasive species.
| Language | English |
|---|---|
| Pages | 39-54 |
| Number of pages | 16 |
| Journal | Management of Biological Invasions |
| Volume | 5 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Feb 2014 |
| Externally published | Yes |
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Keywords
- aquatic invasive species
- blue mussel
- ciona intestinalis
- mathematical model
- population dynamics
- tunicates
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Mathematical model describing the population dynamics of Ciona intestinalis, a biofouling tunicate on mussel farms in Prince Edward Island, Canada. / Patanasatienkul, Thitiwan; Revie, Crawford W.; Davidson, Jeff; Sanchez, Javier.
In: Management of Biological Invasions, Vol. 5, No. 1, 01.02.2014, p. 39-54.Research output: Contribution to journal › Article
TY - JOUR
T1 - Mathematical model describing the population dynamics of Ciona intestinalis, a biofouling tunicate on mussel farms in Prince Edward Island, Canada
AU - Patanasatienkul, Thitiwan
AU - Revie, Crawford W.
AU - Davidson, Jeff
AU - Sanchez, Javier
PY - 2014/2/1
Y1 - 2014/2/1
N2 - A mathematical model was used to describe the population of the aquatic invasive species, Ciona intestinalis in the presence of cultured mussel production. A differential equation model was developed to represent the key life stages: egg, larva, recruit, juvenile and adult. Stage transition rates were calculated from time spent in a stage and transition probabilities. Because surface availability for the settlement phase is a key determinant of population growth, dead juvenile and dead adult stages were also modelled, together with their drop-off rates. This model incorporated temperature dependencies and an environmental carrying capacity. Model validation was carried out against field data collected from Georgetown Harbour, in 2008. Relative sensitivity indices were calculated to determine the most influential factors in the model. The results indicated that the modelled outputs were broadly in agreement with the observed data. Under baseline conditions the number of C. intestinalis increased from early September to late October, after which they reached a plateau at an abundance of approximately five individuals per cm2. Sensitivity analyses revealed that a reduction in spawning interval or the development time of larva accelerated C. intestinalis population growth. In contrast, decreasing either carrying capacity or the percentage drop-off of live juvenile and adult stages resulted in a decline in the population. This research provides the first detailed model describing population dynamics of C. intestinalis in mussel farms and will be valuable in exploring effective treatment strategies for this invasive species.
AB - A mathematical model was used to describe the population of the aquatic invasive species, Ciona intestinalis in the presence of cultured mussel production. A differential equation model was developed to represent the key life stages: egg, larva, recruit, juvenile and adult. Stage transition rates were calculated from time spent in a stage and transition probabilities. Because surface availability for the settlement phase is a key determinant of population growth, dead juvenile and dead adult stages were also modelled, together with their drop-off rates. This model incorporated temperature dependencies and an environmental carrying capacity. Model validation was carried out against field data collected from Georgetown Harbour, in 2008. Relative sensitivity indices were calculated to determine the most influential factors in the model. The results indicated that the modelled outputs were broadly in agreement with the observed data. Under baseline conditions the number of C. intestinalis increased from early September to late October, after which they reached a plateau at an abundance of approximately five individuals per cm2. Sensitivity analyses revealed that a reduction in spawning interval or the development time of larva accelerated C. intestinalis population growth. In contrast, decreasing either carrying capacity or the percentage drop-off of live juvenile and adult stages resulted in a decline in the population. This research provides the first detailed model describing population dynamics of C. intestinalis in mussel farms and will be valuable in exploring effective treatment strategies for this invasive species.
KW - aquatic invasive species
KW - blue mussel
KW - ciona intestinalis
KW - mathematical model
KW - population dynamics
KW - tunicates
UR - http://www.scopus.com/inward/record.url?scp=85008927372&partnerID=8YFLogxK
U2 - 10.3391/mbi.2014.5.1.04
DO - 10.3391/mbi.2014.5.1.04
M3 - Article
VL - 5
SP - 39
EP - 54
JO - Management of Biological Invasions
T2 - Management of Biological Invasions
JF - Management of Biological Invasions
SN - 1989-8649
IS - 1
ER -