NEMURO - a lower trophic level model for the North Pacific marine ecosystem

NEMURO - a lower trophic level model for the North Pacific marine ecosystem
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DOI:
10.1016/j.ecolmodel.2006.08.021
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发表时间:
2007-03-24
影响因子:
3.1
通讯作者:
Zvalinsky, Vladimir I.
Zvalinsky, Vladimir I.
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Kishi, Michio J.;Kashiwai, Makoto;Zvalinsky, Vladimir I.

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北太平洋海洋科学组织气候变化与承载能力项目(PICES CCCC)模式任务组就北太平洋低营养级生态系统模式原型的结构达成共识,并将其命名为"了解区域海洋学的北太平洋生态系统模式“(根室)。通过模型建立者、浮游生物学家和海洋学家之间的广泛对话,进行了广泛的审查,以确定根室的过程方程及其在不同地理区域的参数值。本文介绍了根室的公式、结构和控制方程,并举例说明了它的行为。根室有11个状态变量:硝酸盐,铵,小型和大型浮游植物生物量,小型,大型和捕食性浮游动物生物量,颗粒和溶解有机氮,颗粒二氧化硅,和草酸浓度。本期《生态建模》中报道的几个应用程序已经成功地使用了根室,以及一个将鱼类作为附加状态变量的扩展。应用包括研究北太平洋的海洋地球化学,其生态系统的低营养水平和两个目标鱼种在区域和流域尺度上的变化,从季节到年代际的时间尺度。(c)2006 Elsevier B.V.保留所有权利。
The PICES CCCC (North Pacific Marine Science Organization, Climate Change and Carrying Capacity program) MODEL Task Team achieved a consensus on the structure of a prototype lower trophic level ecosystem model for the North Pacific Ocean, and named it the North Pacific Ecosystem Model for Understanding Regional Oceanography, "NEMURO". Through an extensive dialog between modelers, plankton biologists and oceanographers, an extensive review was conducted to define NEMURO's process equations and their parameter values for distinct geographic regions. We present in this paper the formulation, structure and governing equations of NEMURO as well as examples to illustrate its behavior. NEMURO has eleven state variables: nitrate, ammonium, small and large phytoplankton biomass, small, large and predatory zooplankton biomass, particulate and dissolved organic nitrogen, particulate silica, and silicic acid concentration. Several applications reported in this issue of Ecological Modelling have successfully used NEMURO, and an extension that includes fish as an additional state variable. Applications include studies of the biogeochemistry of the North Pacific, and variations of its ecosystem's lower trophic levels and two target fish species at regional and basin-scale levels, and on time scales from seasonal to interdecadal. (c) 2006 Elsevier B.V. All rights reserved.