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纳入鱼类在息地使用模型中的垂直移动

Ian A Richter¹, Karen E Smokorowski², Paul J Blanchfield^1,3

¹Fisheries and Oceans Canada, Ontario and Prairie Region, Freshwater Institute, Winnipeg, Manitoba, Canada.

Journal of fish biology

|July 10, 2024

概括

潜在路径体积 (PPV) 模型有效地使用3D遥测数据估计了鱼类息地体积. 这种方法比传统方法提供了更大的息地估计和更大的重叠洞察力,有助于鱼类的保护.

科学领域:

水生生态学水生生态学
运动生态学运动生态学
渔业科学渔业科学

背景情况:

三维 (3D) 鱼类遥测数据越来越常见,但用于息地使用的分析方法有限.
现有的方法往往难以有效地整合定位和深度数据来估计息地体积.

研究的目的:

调整和应用最初用于鸟类研究的潜在路径体积 (PPV) 模型,以估计自由游泳鱼类的息地体积.
评估空间位置数据和游泳速度参数对PPV模型息地估计的影响.
为了比较PPV模型输出与传统的核利用分布 (KUD) 方法用于鱼类息地分析.

主要方法:

将PPV模型应用于来自安大略省土耳其湖的白吸 (Catastomus commersonii) 遥测数据集.
评估了不同数量的空间位置和游泳速度 (v_游泳) 计算方法对息地体积的影响.
比较PPV衍生的息地体积,并与3D KUD方法重叠.

主要成果:

空间位置的数量显著影响了PPV息地体积估计.
游泳速度的大小和参数化 (恒定与特定) 并没有显著改变息地体积估计.
与3D KUD方法相比,PPV模型产生了更大的息地体积和更大的鱼类间息地重叠.

结论:

PPV模型是分析3D鱼类遥测数据和估计息地使用的宝贵工具.
结合潜在的运动可以增强对鱼类空间利用的生态洞察力.
PPV为鱼类保护和管理应用提供了一个有前途的方法.

关键词:

鱼类鱼类鱼类鱼类的鱼类鱼类.鱼类息地鱼类息地息地重叠在一起.潜在路径体积和潜在路径体积.远程测量远程测量技术一个白色的吸血鬼.

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