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修改和参数化基于个人模型 inSTREAM 对大西洋鱼和棕鱼在监管的Gullspång河,瑞典

Kristine Lund Bjørnås^1,2, Steven Railsback³, John Piccolo¹

¹Department of Environmental and Life Sciences, River Ecology and Management Research Group (RivEM), Karlstad University, Sweden.

|July 10, 2023

概括

这项研究适应了瑞典大西洋鱼和鱼的鱼群模型. 该模型模拟了流量变化如何影响幼鱼数量,这对保护和水电管理至关重要.

科学领域:

生态生态学生态生态学
水生生态学水生生态学
人口动态人口动态

背景情况:

水力发电监管影响河流鱼群.
了解鱼的招募对于保护至关重要.
基于个体的模型 (IBM) 提供了详细的人口模拟.

研究的目的:

适应和应用inSTREAM IBM (版本6.1) 对内陆大西洋鱼 (Salmo salar) 和棕鱼 (S. trutta) 的应用.
在瑞典的Gullspång河,模拟鱼类招募响应改变的流量制度和环境变化.
评估大型,外迁的幼鱼的数量作为主要响应变量.

主要方法:

修改并参数化了inSTREAM IBM (版本6.1) 使用本地数据 (电捕鱼,红色调查,息地,繁殖物种) 和文献.
根据TRACE框架对模型描述进行了结构化.
在10年内运行了空间和时间显式模拟,每天分时间步骤.

主要成果:

使用电捕鱼数据对幼鱼进行校准和验证的鱼类生长.
确定了对"超个体"参数值和产卵高温极限的模型灵敏度.
对各种流释放场景的鱼类招募的模拟反应.

结论:

调整后的 inSTREAM 模型为评估对鱼种群的环境影响提供了一个工具.
流量变化和温度限制显著影响幼鱼的外迁和招募.
该模型有助于预测水力发电规范河流的不同管理策略下的人口动态.

关键词:

保护保护保护保护生态液压系统生态液压系统生态建模生态建模环境流的环境流.息地选择息地选择最小的流量是最低的.自然流动的自然流动模式.萨尔莫萨尔莫萨尔莫萨尔莫萨尔莫萨尔莫特特特拉塔 (Salmo trutta) 是一个非常古老的植物.水的框架指令水的框架指令 inSTREAM版本6.1适用于大西洋鱼和色鱼.

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