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Time-Dynamic Food Web Modeling to Explore Environmental Drivers of Ecosystem Change on the Kerguelen Plateau
Frontiers in Marine Science ( IF 3.7 ) Pub Date : 2020-09-11 , DOI: 10.3389/fmars.2020.00641
Roshni C. Subramaniam , Jessica Melbourne-Thomas , Stuart P. Corney , Karen Alexander , Clara Péron , Philippe Ziegler , Kerrie M. Swadling

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 the commercially important Patagonian toothfish. 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 ecosystem management.

中文翻译:

探索凯尔盖朗高原生态系统变化的环境驱动因素的时间动态食物网模型

了解气候和渔业对海洋系统的影响对于南大洋基于生态系统的管理很重要,但由于空间和时间的数据不完整,可能难以评估。我们使用 Ecopath 和 Ecosim 为凯尔盖朗高原开发了第一个时间动态食物网模型,以探索这个数据相对贫乏的地区可能发生变化的驱动因素。凯尔盖朗高原位于交叉的额叶系统的中心,栖息着最大的具有商业价值的巴塔哥尼亚齿鱼种群之一。我们使用该模型通过使用 1997-2018 年法国和澳大利亚渔业数据以及 1986-2018 年期间的生物量数据对其进行校准,来评估该地区食物网动态的环境和人类驱动因素。在该模型中,捕鱼未被确定为食物网动态的驱动因素,这可能表明当前的管理策略是可持续的。与可能驱动食物网动态的环境参数(海面温度、纬向风、南部环形模式和叶绿素 a 浓度)的相关性分析强调,凉爽的海面温度、较高的纬向风速和南部环形模式的负相位是重要的驱动因素。变化,尤其是在夏天。由于在未来的气候变化下,预计南大洋会变暖并且风会增强,我们的研究说明了在生态系统管理中考虑环境变化的重要性。与可能驱动食物网动态的环境参数(海面温度、纬向风、南部环形模式和叶绿素 a 浓度)的相关性分析强调,凉爽的海面温度、较高的纬向风速和南部环形模式的负相位是重要的驱动因素。变化,尤其是在夏天。由于在未来的气候变化下,预计南大洋会变暖并且风会增强,我们的研究说明了在生态系统管理中考虑环境变化的重要性。与可能驱动食物网动态的环境参数(海面温度、纬向风、南部环形模式和叶绿素 a 浓度)的相关性分析强调,凉爽的海面温度、较高的纬向风速和南部环形模式的负相位是重要的驱动因素。变化,尤其是在夏天。由于在未来的气候变化下,预计南大洋会变暖并且风会增强,我们的研究说明了在生态系统管理中考虑环境变化的重要性。
更新日期:2020-09-11
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