咬齿牡蛎动态能量收支模型的参数获取及构建

Parameter acquisition and model development for the Dynamic Energy Budget (DEB) of oyster Saccostrea mordax

  • 摘要:
    目的 本研究构建了咬齿牡蛎动态能量收支(DEB)模型,通过数值模拟,研究水温、叶绿素浓度对其生长的影响,为牡蛎礁的选址、设计及可持续管理提供理论支持。
    方法 通过室内生理实验测定了DEB模型所必须的参数。采用壳长与软体部湿重回归法计算形状系数δm;根据不同温度条件下牡蛎的呼吸耗氧率,计算获得阿伦纽斯温度TA;经45 d的饥饿实验,获得形成单位体积结构物质所需的能量EG、单位体积的最大存储能量EM以及单位时间单位体积维持生命所需的能量M;摄食实验测定出最大摄食率Am和最大吸收率Xm等主要参数。通过对已有文献的数据挖掘和模型调试获取模型所需的其他参数。通过遥感技术方法获得2022年6月—2024年4月美济礁和大亚湾Chl.a浓度和水温,以此作为强制函数,利用R软件构建了大亚湾咬齿牡蛎的个体生长模型,美济礁监测的咬齿牡蛎实际生长数据进行验证。
    结果 通过室内实验成功测定了DEB模型所需的7个基本参数,其中δm为0.270,TA4900.01 K,EGEMM分别为5600 J/cm36382 J/cm3、26 J/(cm3·d),AmXm分别为244 J/(cm2·d)和325 J/(cm2·d)。模型模拟结果显示,软体部干重和壳高的模拟值与实测值呈显著线性关系。在美济礁和大亚湾海域中,咬齿牡蛎的生长受到Chl.a浓度和水温的双重限制,食物限制性强于水温。
    结论 所构建的DEB模型能够很好的模拟咬齿牡蛎的个体生长情况,美济礁的温度与食物相较于大亚湾更适合咬齿牡蛎的生长。

     

    Abstract: This study constructs a Dynamic Energy Budget (DEB) model to gain a deeper understanding of the growth, reproduction, and energy allocation of oyster Saccostrea mordax in different marine areas, providing theoretical support for the site selection, design, and sustainable management of oyster reefs. Through model construction and validation, the research explores the impact of environmental factors such as water temperature and chlorophyll concentration on oyster growth, offering technical guidance for optimizing oyster farming strategies as well as marine ecosystem protection and restoration. Seven basic parameters required for the DEB model were measured through indoor physiological experiments, while other parameters were obtained from literature and model calibration. The shape coefficient (δm) was calculated using the regression method of shell length and soft tissue wet weight. Based on the measured oxygen consumption rates of oysters at different temperature conditions, the Arrhenius temperature (TA) was calculated. After 45 days of starvation experiments, the energy required to form a unit volume of structural material EG, the maximum storage energy EM, and the maximum storage energy EM, and the energy required to maintain life M were obtained. Feeding experiments determined the maximum feeding rate Am and maximum uptake rate Xm. Remote sensing technology was used to obtain chlorophyll-a concentration and water temperature from June 2022 to April 2024 at Mischief Reef and Daya Bay. These data were used as forcing functions, and an individual growth model of the biting oyster in Daya Bay was constructed using R software and validated against actual growth data from Mischief Reef. Seven basic parameters required for the DEB model were successfully measured in indoor experiments, with δm = 0.270, TA = 4 900.01 K, EG = 5 600 J/cm3, EM = 6 382 J/cm3, M = 26 J/(cm3·d) Am = 244 J/(cm2·d) and Xm = 325 J/(cm2·d). The model simulation results showed a significant linear relationship between the simulated values of soft tissue dry weight and shell height and the measured values, demonstrating the effectiveness of the DEB model in this experiment. Regarding the growth of the biting oyster, the model indicates that food limitation has a higher impact than water temperature. The constructed DEB model can effectively simulate the individual growth of S. mordax. The temperature and food conditions at Mischief Reef are more suitable for the growth of biting oysters than those at Daya Bay.

     

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