现实世界废弃物分散模型用于盆地综合多托菲水产养殖
Karl Cutajar1, Lynne Falconer1, Angus Sharman2
1Institute of Aquaculture, University of Stirling, Stirling, Scotland.
PloS one
|May 23, 2024
概括
海洋鱼类养殖场产生复杂的废物模式,影响着盆地生态系统. 准确的建模需要有关农场实践的详细数据,以优化综合多种水产养殖 (IMTA) 和废物管理.
科学领域:
- 水产养殖是水产养殖的一种方式.
- 环境科学 环境科学
- 生态系统建模 生态系统建模
背景情况:
- 海洋鱼养殖场通常有多种物种和群体,导致复杂的布局和管理实践.
- 农场层面的复杂性可以显著影响废物沉积和谷底影响的模型预测.
- 综合多营养水产养殖 (IMTA) 系统使用盆地料器,因此了解废物分布对于环境健康和资源利用都至关重要.
研究的目的:
- 开发和应用一个模型 (水产养殖颗粒物输出和运输 - - CAPOT),考虑到农场层面的复杂性,以估计废物分布.
- 评估各种子管理实践,物种,队列和安排对废物沉积模式的影响.
- 提高水产养殖中颗粒物废物管理的农场规模建模的代表性.
主要方法:
- 利用基于电子表格的工具CAPOT模型,估计来自个别鱼的颗粒废物分散.
- 整合了详细的输入数据,包括生物质的每月变化,食物类型,沉速度和子配置.
- 采用5米x5米的网格分辨率进行分散估计,并分析离散的生产周期.
主要成果:
- 模型输出显示,直接在鱼下方的颗粒废物沉积量较高,与生产周期相关的每月变化.
- 沉积足迹受到子生物质,食品投入和农场管理实践的变化的影响,反映了现实世界水产养殖的动态.
- 队列动态和子移动被确定为影响废物的数量和命运的关键因素,导致可变的沉积模式.
结论:
- 精确建模颗粒废弃物分布需要对实际食品投入,生物质变化和管理实践的代表性输入数据.
- 废物沉积的变化为优化谷底IMTA系统设计和提取生物的放置带来了挑战.
- 更具代表性的农场规模建模对于有效的颗粒物废物管理和在综合水产养殖系统中改善有机废物回收是必不可少的.
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