Study of the seasonal cycle of the biogeochemical processes in the Ligurian Sea using a ID interdisciplinary model

被引:22
|
作者
Raick, C
Delhez, EJM
Soetaert, K
Grégoire, M
机构
[1] Univ Liege, Dept Oceanol, B-4000 Liege, Belgium
[2] Netherlands Inst Ecol, Ctr Estuarine & Coastal Ecol, NL-4400 AC Yerseke, Netherlands
关键词
ecosystem-hydrodynamic interactions; biogeochemical cycles; mathematical model; Ligurian Sea;
D O I
10.1016/j.jmarsys.2004.09.005
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A one-dimensional coupled physical-biogeochemical model has been built to study the pelagic food web of the Ligurian Sea (NW Mediterranean Sea). The physical model is the turbulent closure model (version I D) developed at the GeoHydrodynamics and Environmental Laboratory (GHER) of the University of Liege. The ecosystem model contains 19 state variables describing the carbon and nitrogen cycles of the pelagic food web. Phytoplankton and zooplankton are both divided in three size-based compartments and the model includes an explicit representation of the microbial loop including bacteria, dissolved organic matter, nano-, and microzooplankton. The internal carbon/nitrogen ratio is assumed variable for phytoplankton and detritus, and constant for zooplankton and bacteria. Silicate is considered as a potential limiting nutrient of phytoplankton's growth. The aggregation model described by Kriest and Evans in (Proc. Ind. Acad. Sci., Earth Planet. Sci. 109 (4) (2000) 453) is used to evaluate the sinking rate of particulate detritus. The model is forced at the air-sea interface by meteorological data coming from the "Cote d'Azur" Meteorological Buoy. The dynamics of atmospheric fluxes in the Mediterranean Sea (DYFAMED) time-series data obtained during the year 2000 are used to calibrate and validate the biological model. The comparison of model results within in situ DYFAMED data shows that although some processes are not represented by the model, such as horizontal and vertical advections, model results are overall in agreement with observations and differences observed can be explained with environmental conditions. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:177 / 203
页数:27
相关论文
共 50 条
  • [1] Study of long-term variations in the Black Sea fields using an interdisciplinary physical and biogeochemical model
    Dorofeev, V. L.
    Korotaev, G. K.
    Sukhikh, L. I.
    IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2013, 49 (06) : 622 - 631
  • [2] Study of long-term variations in the Black Sea fields using an interdisciplinary physical and biogeochemical model
    V. L. Dorofeev
    G. K. Korotaev
    L. I. Sukhikh
    Izvestiya, Atmospheric and Oceanic Physics, 2013, 49 : 622 - 631
  • [3] Seasonal Dynamics of Biogeochemical Processes in the Water Column of the Northeastern Black Sea
    I. I. Rusanov
    A. Yu. Lein
    P. N. Makkaveev
    A. A. Klyuvitkin
    M. D. Kravchishina
    M. V. Ivanov
    M. V. Flint
    Oceanology, 2018, 58 : 57 - 70
  • [4] Seasonal Dynamics of Biogeochemical Processes in the Water Column of the Northeastern Black Sea
    Rusanov, I. I.
    Lein, A. Yu.
    Makkaveev, P. N.
    Klyuvitkin, A. A.
    Kravchishina, M. D.
    Ivanov, M. V.
    Flint, M. V.
    OCEANOLOGY, 2018, 58 (01) : 57 - 70
  • [5] Seasonal cycle of Jassa marmorata Holmes, 1903 (Amphipoda) in the Ligurian Sea (Mediterranean, Italy)
    Scinto, Alice
    Benvenuto, Chiara
    Cerrano, Carlo
    Mori, Mario
    JOURNAL OF CRUSTACEAN BIOLOGY, 2007, 27 (02) : 212 - 216
  • [6] Influences of physical processes and anthropogenic influx on biogeochemical cycle in the Java']Java Sea: numerical model experiment
    Koropitan, Alan F.
    Ikeda, Motoyoshi
    2ND INTERNATIONAL SYMPOSIUM ON LAPAN-IPB SATELLITE (LISAT) FOR FOOD SECURITY AND ENVIRONMENTAL MONITORING, 2016, 33 : 532 - 552
  • [7] A MODEL STUDY OF THE SEASONAL CYCLE OF THE ARABIAN SEA-SURFACE TEMPERATURE
    SHETYE, SR
    JOURNAL OF MARINE RESEARCH, 1986, 44 (03) : 521 - 542
  • [8] Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: Mean seasonal cycle
    Li, Linghan
    McClean, Julie L.
    Miller, Arthur J.
    Eisenman, Ian
    Hendershott, Myrl C.
    Papadopoulos, Caroline A.
    OCEAN MODELLING, 2014, 84 : 51 - 66
  • [10] A model study on carbon cycle and phytoplankton dynamical processes in the Bohai Sea
    Wei, HO
    Zhao, L
    Feng, SZ
    ACTA OCEANOLOGICA SINICA, 2003, 22 (01) : 47 - 55