"So, where do you come from?" The impact of assumed spatial population structure on estimates of recruitment
"So, where do you come from?" The impact of assumed spatial population structure on estimates of recruitment
复制标题
“那么，你从哪里来？”
DOI：
10.1016/j.fishres.2018.11.030
复制
发表时间：
2019
影响因子：
2.4
通讯作者：
Cadrin, Steven X.
中科院分区：
文献类型：
--
作者：
Cadrin, Steven X.
了解种群动态对于实现可持续和高产渔业至关重要。然而，在种群评估模型中估计招募量涉及识别自我维持种群的挑战性任务，其中通常包括代表复杂的地理结构。对几个案例研究的回顾表明，替代库存评估模型可以影响招聘的估计。将空间种群结构和连通性纳入种群评估模型改变了对多种渔业补充事件的看法，但估计受到影响的程度取决于移动率和相对种群规模。对于多个人口组成部分，对强劲招募事件和较小人口单位生产力的估计往往对连通性假设更为敏感。以这些案例研究为条件的模拟测试表明，准确地考虑人口结构，无论是在管理单位定义还是库存评估模型结构中，都可以改善招聘估计。对运动动力学的理解改进了对相关子群体的估计。在存量评估中代表地理结构的挑战强调了定义自我维持的管理单位以证明单位存量假设合理性的重要性。
Understanding population dynamics is essential for achieving sustainable and productive fisheries. However, estimating recruitment in a stock assessment model involves the challenging task of identifying a self-sustaining population, which often includes representing complex geographic structure. A review of several case studies demonstrated that alternative stock assessment models can influence estimates of recruitment. Incorporating spatial population structure and connectivity into stock assessment models changed the perception of recruitment events for a wide diversity of fisheries, but the degree to which estimates were impacted depended on movement rates and relative stock sizes. For multiple population components, estimates of strong recruitment events and the productivity of smaller population units were often more sensitive to connectivity assumptions. Simulation testing, conditioned on these case studies, suggested that accurately accounting for population structure, either in management unit definitions or stock assessment model structure, improved recruitment estimates. An understanding of movement dynamics improved estimation of connected sub-populations. The challenge of representing geographic structure in stock assessment emphasizes the importance of defining self-sustaining management units to justify a unit-stock assumption.