Shellfish Models

These models and simulations have been tagged “Shellfish”.

Insight diagram
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
Insight diagram
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. Aquaculture149(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. Aquaculture463, 224-233.

Pacific oyster, Crassostrea gigas, growth model
Insight diagram
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
Insight diagram
Clone of Final Project Sea Otters, Shellfish and Kelp Forests
Insight diagram
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
Insight diagram
Matt Sosa & Kay Litwin
Clone of Final Project Sea Otters, Shellfish and Kelp Forests
Insight diagram
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
Insight diagram
Clone of Final Project Sea Otters, Shellfish and Kelp Forests
Insight diagram
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
Insight diagram
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
Insight diagram
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
Insight diagram
Matt Sosa & Kay Litwin
Final Project Sea Otters, Shellfish and Kelp Forests
Insight diagram
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
Insight diagram
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
Insight diagram
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
6 months ago