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Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic

机译:模拟西北大西洋的Geodia海绵和海绵地面分布

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摘要

Deep-sea sponge grounds provide structurally complex habitat for fish and invertebrates and enhance local biodiversity. They are also vulnerable to bottom-contact fisheries and prime candidates for Vulnerable Marine Ecosystem designation and related conservation action. This study uses species distribution modeling, based on presence and absence observations of Geodia spp. and sponge grounds derived from research trawl catches, as well as spatially continuous data on the physical and biological ocean environment derived from satellite data and oceanographic models, to model the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic. Most models produce excellent fits with validation data although fits are reduced when models are extrapolated to new areas, especially when oceanographic regimes differ between areas. Depth and minimum bottom salinity were important predictors in most models, and a Geodia spp. minimum bottom salinity tolerance threshold in the 34.3-34.8 psu range was hypothesized on the basis of model structure. The models indicated two currently unsampled regions within the study area, the deeper parts of Baffin Bay and the Newfoundland and Labrador slopes, where future sponge grounds are most likely to be found.
机译:深海海绵地面为鱼类和无脊椎动物提供了结构复杂的栖息地,并增强了当地的生物多样性。他们还容易受到与底层接触的渔业的影响,并且是脆弱海洋生态系统指定和相关保护行动的主要候选人。这项研究使用物种分布模型,基于对大地蝇的存在和不存在的观察。研究拖网渔获物得到的海绵地面以及来自卫星数据和海洋学模型的有关海洋物理和生物环境的空间连续数据,以模拟Geodia海绵和西北大西洋地区的海绵地面分布。尽管将模型外推到新区域时,尤其是当海洋学制度在区域之间不同时,拟合度会降低,但大多数模型都可以通过验证数据产生出色的拟合度。在大多数模型和Geodia物种中,深度和最小底部盐度是重要的预测因子。根据模型结构,假设最低底部盐度耐受阈值在34.3-34.8 psu范围内。这些模型指示了研究区域内两个当前未采样的区域,巴芬湾的较深部分以及纽芬兰和拉布拉多斜坡,这些地方最有可能找到未来的海绵地面。

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