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Comparing two remote video survey methods for spatial predictions of the distribution and environmental niche suitability of demersal fishes

机译:比较两种远程视频调查方法对沉鱼分布和环境生态位适宜性的空间预测

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摘要

Information on habitat associations from survey data, combined with spatial modelling, allow the development of more refined species distribution modelling which may identify areas of high conservation/fisheries value and consequentially improve conservation efforts. Generalised additive models were used to model the probability of occurrence of six focal species after surveys that utilised two remote underwater video sampling methods (i.e. baited and towed video). Models developed for the towed video method had consistently better predictive performance for all but one study species although only three models had a good to fair fit, and the rest were poor fits, highlighting the challenges associated with modelling habitat associations of marine species in highly homogenous, low relief environments. Models based on baited video dataset regularly included large-scale measures of structural complexity, suggesting fish attraction to a single focus point by bait. Conversely, models based on the towed video data often incorporated small-scale measures of habitat complexity and were more likely to reflect true species-habitat relationships. The cost associated with use of the towed video systems for surveying low-relief seascapes was also relatively low providing additional support for considering this method for marine spatial ecological modelling.
机译:来自调查数据的栖息地协会信息与空间建模相结合,可以开发出更精细的物种分布模型,从而可以确定具有较高保护价值/渔业价值的地区,从而改善保护工作。在使用两种远程水下视频采样方法(即诱饵和拖曳视频)进行调查后,使用广义加性模型对六个焦点物种的发生概率进行建模。为拖曳视频方法开发的模型对除一个研究物种之外的所有物种始终具有较好的预测性能,尽管只有三个模型具有良好的适度拟合,而其余三个模型的拟合均较差,这突出表明了在高度同质的海洋物种栖息地关联建模方面面临的挑战,低浮雕环境。基于诱饵视频数据集的模型通常包括对结构复杂性的大规模测量,表明诱饵将鱼吸引到单个焦点。相反,基于拖曳视频数据的模型通常采用小规模的生境复杂性度量,并且更有可能反映真实的物种-生境关系。与使用拖曳视频系统勘测低浮雕海景相关的成本也相对较低,为考虑将此方法用于海洋空间生态建模提供了额外的支持。

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