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首页> 外文期刊>Frontiers in Marine Science >Time-Dynamic Food Web Modeling to Explore Environmental Drivers of Ecosystem Change on the Kerguelen Plateau
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Time-Dynamic Food Web Modeling to Explore Environmental Drivers of Ecosystem Change on the Kerguelen Plateau

机译:探讨Kerguelen高原生态系统变化环境驱动因素的时间动态食品网络建模

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Understanding the impacts of climate and fishing on marine systems is important for ecosystem-based management in the Southern Ocean, but can be difficult to evaluate due to patchy data in space and time. We developed the first time-dynamic food web model for the Kerguelen Plateau using Ecopath with Ecosim to explore likely drivers of change in this relatively data-poor region. The Kerguelen Plateau is located at the centre of intersecting frontal systems and is inhabited by one of the largest populations of Patagonian toothfish, which is also heavily fished. We used this model to evaluate the environmental and human drivers of food web dynamics in the region by calibrating it with French and Australian fisheries data from 1997-2018 and biomass data for the period 1986-2018. Fishing was not identified as a driver of food web dynamics within this model, which could indicate that current management strategies are sustainable. A correlation analysis with environmental parameters likely to drive food web dynamics (sea surface temperature, zonal wind, Southern Annular Mode and chlorophyll a concentration) highlighted cool sea surface temperature, higher zonal wind speeds and negative phases of the Southern Annular Mode as important drivers of change, particularly during the summer. As the Southern Ocean is predicted to warm and winds are expected to intensify under future climate change, our study illustrates the importance of considering environmental change in of ecosystem management.
机译:了解气候和捕捞对海洋系统的影响对于南海的基于生态系统的管理是重要的,但由于空间和时间的数据包装的数据,可能难以评估。我们使用EcoPath与Ecosim开发了Kerguelen高原的第一次动态食物网型,以探索这种相对较差的地区的可能变化的驱动因素。 Kerguelen Plateau位于交叉的额外系统的中心,并受到巴塔哥尼亚牙鱼的最大群体之一,也是大量捕捞的。我们使用该模型通过1997 - 2018年1997 - 2018年的法国和澳大利亚渔业数据和1986 - 2018年期间的生物量数据校准了该地区的食品网络动态的环境和人为人员。捕鱼未被识别为该模型中的食物Web动态的驱动程序,这可能表明当前的管理策略是可持续的。与环境参数的相关分析可能驾驶食物Web动力学(海面温度,撒南环形模式和叶绿素浓度)突出显示酷海表面温度,南方环形模式的高地风速和负阶段的重要司机改变,特别是在夏天。随着南海被预测的温暖和风在未来的气候变化下预计会加剧,我们的研究表明了考虑环境变化的生态系统管理的重要性。

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