Shellfish Models

These models and simulations have been tagged “Shellfish”.

Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Environment Shellfish Phytoplankton
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Simple phytoplankton and oyster model
Joao G. Ferreira
6
Pacific oyster, Crassostrea gigas, growth model  Implementation of the model developed by Kobayashi et al., (1997). The model was setted to individual growth.  Reproduction and effects of TPM on filtration rate (FR) were not included. [yellow variables] The values of Chlorophyll, Salini
Aquaculture Shellfish Oyster
Pacific oyster, Crassostrea gigas, growth model 

Implementation of the model developed by Kobayashi et al., (1997). The model was setted to individual growth. 

Reproduction and effects of TPM on filtration rate (FR) were not included. [yellow variables]

The values of Chlorophyll, Salinity and Water Temperature are from Mondol et al., (2016). 

The growth follows a similar trend of that reported by Modol et al., (2016) but the wet weight tissue values are 3 times higher that the expected. 

References

Kobayashi, M., Hofmann, E. E., Powell, E. N., Klinck, J. M., & Kusaka, K. (1997). A population dynamics model for the Japanese oyster, Crassostrea gigas. Aquaculture, 149(3-4), 285-321.

Mondol, M. R., Kim, C. W., Kang, C. K., Park, S. R., Noseworthy, R. G., & Choi, K. S. (2016). Growth and reproduction of early grow-out hardened juvenile Pacific oysters, Crassostrea gigas in Gamakman Bay, off the south coast of Korea. Aquaculture, 463, 224-233.

Pacific oyster, Crassostrea gigas, growth model
Filipe M. Soares
4
Matt Sosa & Kay Litwin ​
Kelp Forests UCLA Sea Otter GEOG 166 Final Project 2016 GEOG 166 Final Project 2018 Final Shellfish Enviornment
Matt Sosa & Kay Litwin
​
Clone of Final Project Sea Otters, Shellfish and Kelp Forests
Nathan Burke
Eastern oyster, Crassostrea virginica, growth model Implementation of the model presented by Cerco (2014), with a lot of adaptations. Model translates the individual growth.  The food source was only considered as phytoplankton, and the forcing variables temperature, DO and salinity were not
Bivalve Aquaculture Oyster Shellfish
Eastern oyster, Crassostrea virginica, growth model

Implementation of the model presented by Cerco (2014), with a lot of adaptations. Model translates the individual growth. 

The food source was only considered as phytoplankton, and the forcing variables temperature, DO and salinity were not considered.
 

Reference

Cerco, C. F. (2014). Calculation of Oyster Benefits with a Bioenergetics Model of the Virginia Oyster (No. ERDC/EL-TR-14-13). ENGINEER RESEARCH AND DEVELOPMENT CENTER VICKSBURG MS ENVIRONMENTAL LAB.


Eastern oyster, Crassostrea virginica, growth model
Filipe M. Soares
Insight diagram
Kelp Forests UCLA Enviornment Final Sea Otter Shellfish
Clone of Final Project Sea Otters, Shellfish and Kelp Forests
Kay Litwin
Insight diagram
UCLA Final Kelp Forests Shellfish Sea Otter Enviornment
Clone of Final Project Sea Otters, Shellfish and Kelp Forests
Matthew Sosa
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Phytoplankton Environment Shellfish
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Clone of Simple phytoplankton and oyster model
Carrie Ferraro
Matt Sosa & Kay Litwin ​
Enviornment GEOG 166 Final Project 2018 GEOG 166 Final Project 2016 Final Shellfish Sea Otter UCLA Kelp Forests
Matt Sosa & Kay Litwin
​
Final Project Sea Otters, Shellfish and Kelp Forests
Matthew Sosa
3
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Phytoplankton Shellfish Environment
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Clone of Simple phytoplankton and oyster model
niyi,wu
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Phytoplankton Environment Shellfish
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
No advection, No oyster. Pytoplankton and oyster model
Joao G. Ferreira
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Phytoplankton Environment Shellfish
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Clone of Simple phytoplankton and oyster model
Pagandai V Pannir Selvam
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Environment Phytoplankton Shellfish
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Clone of Simple phytoplankton and oyster model
Eduardo
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Environment Shellfish Phytoplankton
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Clone of Simple phytoplankton and oyster model
Indriana Hidayah
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation. Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability. The phytopla
Environment Shellfish Phytoplankton
Very simple model demonstrating growth of phytoplankton using Steele's equation for potential production and Michaelis-Menten equation for nutrient limitation.

Both light and nutrients (e.g. nitrogen) are modelled as forcing functions, and the model is "over-calibrated" for stability.

The phytoplankton model approximately reproduces the spring-summer diatom bloom and the (smaller) late summer dinoflagellate bloom.
 
Oyster growth is modelled only as a throughput from algae. Further developments would include filtration as a function of oyster biomass, oyster mortality, and other adjustments.
Clone of Simple phytoplankton and oyster model
5_Kirchoff_ Tsabitah Inayah
8 months ago