Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton

M. Rodrigues, A. Oliveira, H. Queiroga, Y. J. Zhang, A. B. Fortunato, Antonio Baptista

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Zooplankton plays a fundamental role in the estuarine food web. Thus, understanding the factors that affect the distribution of estuarine zooplankton is of major concern for the management of estuaries. An integrated modeling approach, coupling a hydrodynamics and an ecological model, is presented here to simulate the three-dimensional dynamics of zooplankton. The hydrodynamics is computed with SELFE, a 3D baroclinic circulation model. The ecological model is based on an extension of EcoSim 2.0, which allows the simulation of several ecological state variables, to account for zooplankton dynamics. Some test cases are presented that validate the changes made in the EcoSim 2.0 and the integration of the hydrodynamic and ecological models. A sensitivity analysis is also performed to check the influence of the input parameters of the ecological model in the final results, showing the phytoplankton's temperature-dependent growth parameters as the most important, for phytoplankton, inorganic nutrients and DIC pools.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Estuarine and Coastal Modeling
Pages427-446
Number of pages20
DOIs
StatePublished - 2008
Event10th International Conference on Estuarine and Coastal Modeling - Newport, RI, United States
Duration: Nov 5 2007Nov 7 2007

Other

Other10th International Conference on Estuarine and Coastal Modeling
CountryUnited States
CityNewport, RI
Period11/5/0711/7/07

Fingerprint

Ecological Model
Zooplankton
zooplankton
Phytoplankton
Hydrodynamics
hydrodynamics
Food Web
Integrated Modeling
phytoplankton
Hydrodynamic Model
Nutrients
Model
Sensitivity Analysis
Estuaries
Sensitivity analysis
sensitivity analysis
food web
Three-dimensional
estuary
Dependent

ASJC Scopus subject areas

  • Modeling and Simulation
  • Geotechnical Engineering and Engineering Geology
  • Civil and Structural Engineering

Cite this

Rodrigues, M., Oliveira, A., Queiroga, H., Zhang, Y. J., Fortunato, A. B., & Baptista, A. (2008). Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton. In Proceedings of the International Conference on Estuarine and Coastal Modeling (pp. 427-446) https://doi.org/10.1061/40990(324)26

Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton. / Rodrigues, M.; Oliveira, A.; Queiroga, H.; Zhang, Y. J.; Fortunato, A. B.; Baptista, Antonio.

Proceedings of the International Conference on Estuarine and Coastal Modeling. 2008. p. 427-446.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rodrigues, M, Oliveira, A, Queiroga, H, Zhang, YJ, Fortunato, AB & Baptista, A 2008, Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton. in Proceedings of the International Conference on Estuarine and Coastal Modeling. pp. 427-446, 10th International Conference on Estuarine and Coastal Modeling, Newport, RI, United States, 11/5/07. https://doi.org/10.1061/40990(324)26
Rodrigues M, Oliveira A, Queiroga H, Zhang YJ, Fortunato AB, Baptista A. Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton. In Proceedings of the International Conference on Estuarine and Coastal Modeling. 2008. p. 427-446 https://doi.org/10.1061/40990(324)26
Rodrigues, M. ; Oliveira, A. ; Queiroga, H. ; Zhang, Y. J. ; Fortunato, A. B. ; Baptista, Antonio. / Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton. Proceedings of the International Conference on Estuarine and Coastal Modeling. 2008. pp. 427-446
@inproceedings{41120bdd3e534ee4804dba489298f8b4,
title = "Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton",
abstract = "Zooplankton plays a fundamental role in the estuarine food web. Thus, understanding the factors that affect the distribution of estuarine zooplankton is of major concern for the management of estuaries. An integrated modeling approach, coupling a hydrodynamics and an ecological model, is presented here to simulate the three-dimensional dynamics of zooplankton. The hydrodynamics is computed with SELFE, a 3D baroclinic circulation model. The ecological model is based on an extension of EcoSim 2.0, which allows the simulation of several ecological state variables, to account for zooplankton dynamics. Some test cases are presented that validate the changes made in the EcoSim 2.0 and the integration of the hydrodynamic and ecological models. A sensitivity analysis is also performed to check the influence of the input parameters of the ecological model in the final results, showing the phytoplankton's temperature-dependent growth parameters as the most important, for phytoplankton, inorganic nutrients and DIC pools.",
author = "M. Rodrigues and A. Oliveira and H. Queiroga and Zhang, {Y. J.} and Fortunato, {A. B.} and Antonio Baptista",
year = "2008",
doi = "10.1061/40990(324)26",
language = "English (US)",
isbn = "9780784409909",
pages = "427--446",
booktitle = "Proceedings of the International Conference on Estuarine and Coastal Modeling",

}

TY - GEN

T1 - Integrating a circulation model and an ecological model to simulate the dynamics of Zooplankton

AU - Rodrigues, M.

AU - Oliveira, A.

AU - Queiroga, H.

AU - Zhang, Y. J.

AU - Fortunato, A. B.

AU - Baptista, Antonio

PY - 2008

Y1 - 2008

N2 - Zooplankton plays a fundamental role in the estuarine food web. Thus, understanding the factors that affect the distribution of estuarine zooplankton is of major concern for the management of estuaries. An integrated modeling approach, coupling a hydrodynamics and an ecological model, is presented here to simulate the three-dimensional dynamics of zooplankton. The hydrodynamics is computed with SELFE, a 3D baroclinic circulation model. The ecological model is based on an extension of EcoSim 2.0, which allows the simulation of several ecological state variables, to account for zooplankton dynamics. Some test cases are presented that validate the changes made in the EcoSim 2.0 and the integration of the hydrodynamic and ecological models. A sensitivity analysis is also performed to check the influence of the input parameters of the ecological model in the final results, showing the phytoplankton's temperature-dependent growth parameters as the most important, for phytoplankton, inorganic nutrients and DIC pools.

AB - Zooplankton plays a fundamental role in the estuarine food web. Thus, understanding the factors that affect the distribution of estuarine zooplankton is of major concern for the management of estuaries. An integrated modeling approach, coupling a hydrodynamics and an ecological model, is presented here to simulate the three-dimensional dynamics of zooplankton. The hydrodynamics is computed with SELFE, a 3D baroclinic circulation model. The ecological model is based on an extension of EcoSim 2.0, which allows the simulation of several ecological state variables, to account for zooplankton dynamics. Some test cases are presented that validate the changes made in the EcoSim 2.0 and the integration of the hydrodynamic and ecological models. A sensitivity analysis is also performed to check the influence of the input parameters of the ecological model in the final results, showing the phytoplankton's temperature-dependent growth parameters as the most important, for phytoplankton, inorganic nutrients and DIC pools.

UR - http://www.scopus.com/inward/record.url?scp=84891301758&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891301758&partnerID=8YFLogxK

U2 - 10.1061/40990(324)26

DO - 10.1061/40990(324)26

M3 - Conference contribution

AN - SCOPUS:84891301758

SN - 9780784409909

SP - 427

EP - 446

BT - Proceedings of the International Conference on Estuarine and Coastal Modeling

ER -