首页> 外文期刊>Ecological Modelling >A bioenergetlics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient-phytoplankton-zooplankton model: Description, calibration, and sensitivity analysis
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A bioenergetlics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient-phytoplankton-zooplankton model: Description, calibration, and sensitivity analysis

机译:基于生物能源的太平洋鲱鱼(Clupea harengus pallasi)种群动力学模型与较低营养水平的营养-浮游植物-浮游动物模型耦合:描述,校正和敏感性分析

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We describe an approach to dynamically couple a fish bioenergetics-based population dynamics model to the NEMURO lower trophic level nutrient-phytoplankton-zooplankton model. The coupled models, denoted NEMURO.FISH and configured for Pacific herring (Clupea harengus pallasii) on the west coast of Vancouver island, are capable of simulating the daily dynamics of the lower trophic levels and the daily average weight and numbers of individual herring in each of 10 age classes over multiple years. New recruits to the herring population are added each June based on either constant recruitment or dynamic recruitment generated from an environmental Ricker spawner-recruitment relationship. The dynamics of the three zooplankton groups in the NEMURO model determine the consumption rate of the herring; herring consumption affects the zooplankton, and egestion and excretion contribute to the nitrogen dynamics. NEMURO was previously calibrated to field data for the West Coast Vancouver Island. Thirty-year simulations of herring growth and population dynamics were performed that used repeated environmental conditions for the lower trophic levels of NEMURO and historical environmental variables for the herring spawner-recruit relationship. Herring dynamics were calibrated to the west coast of Vancouver Island such that the coupled models reasonably duplicated observed herring weights-at-age and total herring biomass. Additional 30-year simulations under constant recruitment with herring coupled and uncoupled from NEMURO clearly showed the effects of the feedback mechanism between the two models and also showed that herring have small to moderate effects on their prey. Monte Carlo uncertainty analysis showed the importance of feeding- and respiration-related parameters to predicted individual and population herring growth. The utility of the NEMURO.FISH framework for improving our understanding of climate change effects on marine ecosystem dynamics is discussed. (c) 2006 Elsevier B.V. All rights reserved.
机译:我们描述了一种方法,将基于鱼类生物能学的种群动态模型动态地耦合到NEMURO较低营养水平的营养物-浮游植物-浮游动物模型。耦合模型表示为NEMURO.FISH,并配置为温哥华岛西海岸的太平洋鲱鱼(Clupea harengus pallasii),能够模拟低营养水平的日动态以及每个营养级的日平均重量和个体鲱鱼的数量超过十年的10个年龄段。根据环境Ricker产卵者与招募关系产生的持续招募或动态招募,每年6月向鲱鱼种群添加新兵。 NEMURO模型中三个浮游动物群的动态决定了鲱鱼的消耗率。鲱鱼的消费影响浮游动物,而排泄物和排泄物有助于氮的动态变化。 NEMURO先前已针对西海岸温哥华岛的现场数据进行了校准。对鲱鱼生长和种群动态进行了三十年的模拟,该模拟使用重复的环境条件来降低NEMURO的营养水平,并使用历史环境变量来实现鲱鱼的产卵-招募关系。将鲱鱼动态校准到温哥华岛的西海岸,以便合理地复制耦合模型,观察到的鲱鱼年龄体重和鲱鱼总生物量。在不断招募的,具有NEMURO耦合和不耦合的鲱鱼的情况下进行的另外30年模拟清楚地表明了两种模型之间反馈机制的影响,并且还表明鲱鱼对其猎物的影响小到中等。蒙特卡洛不确定性分析表明,与进食和呼吸有关的参数对预测个体和种群鲱鱼生长的重要性。讨论了NEMURO.FISH框架对增进我们对气候变化对海洋生态系统动力学影响的理解的实用性。 (c)2006 Elsevier B.V.保留所有权利。

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