种类聚合模型解决了基本的食息地:对保护和管理的影响
Jarrod A Santora1,2, Justin J Suca3, Megan Cimino2,4
1Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Santa Cruz, California, USA.
概括
预测海洋物种聚集是一个挑战. 这项研究使用海鸟数据和海洋模型来确定物种分布的驱动因素,并为保护工作提供信息.
科学领域:
- 海洋生态海洋生态学
- 海洋学 海洋学 海洋学
- 生物多样性的建模.
背景情况:
- 预测物种聚合对于了解海洋生物多样性和生态系统动态至关重要.
- 传统的物种分布模型 (SDM) 往往无法捕捉海物种聚合模式.
- 海鸟是鱼生态系统健康和分布的有价值,可量化的指标.
研究的目的:
- 开发和应用物种分布模型 (SDM) 来预测海鸟聚合动态.
- 确定影响海鸟聚集的位置和强度的物理海洋学驱动因素.
- 增强水上海洋SDM在生态和保护应用中的现实性和实用性.
主要方法:
- 利用了20年的海鸟观测记录和区域海洋建模系统.
- 采用了两步SDM方法:存在/缺席建模和二进制聚合建模.
- 整合了一个概念生态系统模型来组织与息地生产相关的环境共变量.
主要成果:
- 开发了海鸟聚集的现实空间分布模式,反映了已知的息地协会.
- 在聚合指数中观察到混合的时间反应,受海洋气候变化和中等尺度结构的影响.
- 发现丰富的物种在温暖的年份聚集得更多,这表明食息地的可用性减少.
结论:
- 海洋鸟类聚合模型可以提高海性SDM的现实性,并评估热带相互作用.
- 聚合发生模型为基于海洋气候条件的生态系统变化提供了潜在的早期预警系统.
- 这些模型为保护应用提供了显著的实用性,包括随捕减和海上活动的空间规划.
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