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Time-Varying Epipelagic Community Seascapes: Assessing and Predicting Species Composition in the Northeastern Pacific Ocean
Frontiers in Marine Science ( IF 3.7 ) Pub Date : 2021-01-11 , DOI: 10.3389/fmars.2021.586677
Caren Barceló , Richard D. Brodeur , Lorenzo Ciannelli , Elizabeth A. Daly , Craig M. Risien , Gonzalo S. Saldías , Jameal F. Samhouri

The vast spatial extent of the ocean presents a major challenge for monitoring changes in marine biodiversity and connecting those changes to management practices. Remote-sensing offers promise for overcoming this problem in a cost-effective, tractable way, but requires interdisciplinary expertise to identify robust approaches. In this study, we use generalized additive mixed models to evaluate the relationship between an epipelagic fish community in the Northeastern Pacific Ocean and oceanographic predictor variables, quantified in situ as well as via remote-sensing. We demonstrate the utility of using MODIS Rrs555 fields at monthly and interannual timescales to better understand how freshwater input into the Northern California Current region affects higher trophic level biology. These relationships also allow us to identify a gradient in community composition characteristic of warmer, offshore areas and cooler, nearshore areas over the period 2003–2012, and predict community characteristics outside of sampled species data from 2013 to 2015. These spatial maps therefore represent a new, temporally and spatially explicit index of community differences, potentially useful for filling gaps in regional ecosystem status reports and is germane to the broader ecosystem-based fisheries management context.



中文翻译:

随时间变化的黑海群落群落景观:评估和预测东北太平洋的物种组成

海洋的广阔空间对监测海洋生物多样性的变化并将这些变化与管理实践联系在一起构成了重大挑战。遥感为以低成本,易处理的方式解决该问题提供了希望,但需要跨学科的专业知识来确定可靠的方法。在这项研究中,我们使用广义加性混合模型来评估东北太平洋上表层鱼类群落与海洋预报变量之间的关系,这些变量在原位以及通过遥感进行了量化。我们演示了在月度和年际时间尺度上使用MODIS Rrs555字段的效用,以更好地了解北加州当前地区的淡水输入如何影响营养级别更高的生物学。

更新日期:2021-02-12
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