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Under-ice distribution of polar cod Boreogadus saida in the Central Arctic Ocean and its association with sea ice habitats properties

机译:极地鳕鱼Boreogadus的一种冰下分布在北冰洋中部及其与海冰栖息地特性的关系

摘要

In the Arctic Ocean, sea ice habitats are undergoing rapid environmental change. Because sea ice constitutes an important habitat for numerous species, these changes have a significant impact on ecosystem functioning, species distribution, and population sizes. In the Arctic Ocean, polar cod is an ecological key species known to be associated with the underside of pack-ice. In spite of numerous studies in coastal shelf habitats, the under-ice distribution of polar cod in the Central Arctic Ocean has received little attention in the past. During 2012, we sampled polar cod and other under-ice fauna with a novel under-ice trawl for the first time, covering large parts of the Eurasian deep-sea basins of the Arctic Ocean. To model the relationship of polar cod with sea ice habitat properties, we used a bio-environmental sensor array during under-ice fishing. The parameters measured included sea ice thickness, roughness and spectral light transmission of sea ice. The sensors enabled a real-time characterization of sea ice habitat properties over large (1-5km) distances. Statistical modeling techniques (GLMs, GAMs) were used to model the association of polar cod with these habitat properties. We will present the progress of our group in linking biological and physical sea ice data as a tool to understand, and ultimately predict, ecological responses to a rapidly changing Arctic Ocean.
机译:在北冰洋,海冰栖息地正在经历快速的环境变化。由于海冰是众多物种的重要栖息地,因此这些变化对生态系统功能,物种分布和种群数量具有重大影响。在北冰洋,极地鳕是已知与an冰底面相关的生态关键物种。尽管在沿海大陆架栖息地进行了大量研究,但过去北极中部极地鳕鱼在冰下的分布很少受到关注。在2012年期间,我们首次使用新型的冰底拖网对极地鳕鱼和其他冰底动物进行了采样,覆盖了北冰洋欧亚大陆深海盆地的大部分地区。为了模拟极地鳕鱼与海冰栖息地特性的关系,我们在冰底捕鱼期间使用了生物环境传感器阵列。所测量的参数包括海冰厚度,粗糙度和海冰的光谱透光率。这些传感器可以实时表征远距离(1-5公里)内的海冰栖息地特性。统计建模技术(GLM,GAM)用于对极地鳕鱼与这些栖息地特性的关联进行建模。我们将介绍该小组在将生物和物理海冰数据联系起来方面的进展,以了解并最终预测对迅速变化的北冰洋的生态反应。

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