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Fish Habitat Studies: Combining High-Resolution Geological and Biological Data

机译:鱼居研究:结合高分辨率地质和生物数据

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Traditionally, estimates of the distribution and abundance of exploited groundfish species and their associated habitats are based on fishery-dependent sampling of catch and fishery-independent survey data using fishing gears such as trawls and a variety of fixed gears. Survey data are often collected as individual samples integrated over a scale of kilometers, compiled at a larger geographic scale (100 km), and extrapolated to an overall estimate of stock size. Considerations of the non-extractiveeffects of fishing on habitat are extremely limited. Within the past 15 years, a number of collaborations have developed among marine ecologists, fisheries scientists, and marine geologists hallmarked by an integration of sonar mapping of the seafloor with ground-truthing (verification of type of substratum) and direct observation and enumeration of fish and invertebrate populations in the context of their seafloor habitat. An example of such work, targeting a 725-km2, deepwater, rocky bank from the Oregon continental margin, Heceta Bank, is chronicled in this review. The approaches that have been applied to characterize groundfish-habitat relationships in this region have evolved from stand-alone, human-occupied submersible observations to fully interdisciplinary programs employing the most advanced technologies available to marine research. The combination of multibeam swath mapping sonars and accurate geographic positioning systems has enhanced mapping the seafloor and benthic habitats. The challenge now is to efficiently relate small-scale observations and assessments of animal-habitat associations to the large geographic scales on which fisheries operate. Large-scale benthic habitat characterization at appropriate scales is critical to the accurate assessment offish stocks on a spatial scale pertinent to fisheries and those natural physical and biological processes and anthropogenic disturbances (e.g., fishing gear impacts) that influence them.
机译:传统上,利用的抗剥削性栖息地的分布和丰富的分布和丰富的估计是基于渔业依赖性的渔业依赖性采样,使用渔具等拖网和各种固定齿轮。调查数据通常被收集,因为单独的样本集成在一公里范围内,以更大的地理标度(100公里)编制,并推断到股票大小的整体估计。栖息地捕鱼非外精纺的思考极为有限。在过去的15年里,海洋生态学家,渔业科学家和海洋地质学家在海洋生态学家和海洋地质学家中开发了许多合作,通过占地面图的尸体映射(验证亚样品类型)和鱼类直接观察和排列在海底栖息地的背景下的无脊椎动物群体。在本次审查中,针对725 km2,从俄勒冈州大陆边缘的俄勒冈州裕度的岩石银行进行了这样的工作,在这次审查中编年如此。已应用于在该地区的壁鱼栖息地关系中应用的方法已经从独立,人类占用的潜在观察结果演变为完全跨学科的计划,该计划采用了用于海洋研究的最先进技术。 Multibeam Swath MapparaR和准确的地理定位系统的组合增强了映射海底和底栖栖息地。现在的挑战是有效地将动物栖息地关联的小规模观测和评估与渔业运作的大型地理尺度相关。在适当的尺度上进行大规模的底栖栖息地表征对于对渔业相关的空间规模和影响它们的自然身体和生物学过程和人为扰动(例如,捕鱼齿轮撞击)的空间尺度,这是至关重要的。

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