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The Celtic Sea Through Time and Space: Ecosystem Modeling to Unravel Fishing and Climate Change Impacts on Food-Web Structure and Dynamics

机译:凯尔特海通过时间和空间:生态系统建模到Unravel捕鱼和气候变化对食品网结构和动态的影响

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In order to disentangle the impacts of the abiotic environment and fishing in the Celtic Sea ecosystem, we developed a spatio-temporal trophic model, specifically an Ecopath with Ecosim with Ecospace model, for the period 1985-2016. In this model, particular attention was paid to the parameterization of the responses of all trophic levels to abiotic environmental changes. Satellite remote sensing data were employed to determine the spatial distribution and annual fluctuations of primary production (PP). Spatial and temporal changes in the habitat favorable for zooplankton was predicted with a novel ecological-niche approach using daily detection of productivity fronts from satellite ocean color. Finally, functional responses characterizing the effect of several abiotic environmental variables (including, among others, temperature, salinity and dissolved oxygen concentration, both at the surface and at the bottom) on fish species groups’ habitat suitability were produced from the predictions of statistical habitat models fitted to presence-absence data collected by multiple fisheries-independent surveys. The dynamic component of our model (Ecosim) was driven by time-series of fishing effort, PP, zooplankton habitat suitability and abiotic environmental variables, and was fitted to abundance and fisheries catch data. The spatial component of our model (Ecospace) was constructed, for specific years of the period 1985-2016 with contrasted abiotic environmental conditions, to predict the variable distribution of the biomass of all functional groups. We found that fishing was the main driver of observed ecosystem changes in the Celtic Sea over the period 1985-2016. However, the integration of the environmental variability into the model and the subsequent improvement of the fit of the dynamic Ecosim component highlighted i) the control of the overall pelagic production by PP and ii) the influence of temperature on the productivity of several trophic levels in the Celtic Sea, especially on trophic groups with warm and cold water affinities. In addition, Ecospace predictions indicated that the spatial distributions of commercial fish species may have substantially changed over the studied period. These spatial changes mainly appeared to be driven by temperature and may, therefore, largely impact future fisheries given the continuity of climatic changes.
机译:为了解开非生物环境和捕捞在凯尔特海洋生态系统中的影响,我们开发了一种时空营养师模型,特别是1985 - 2016年期间与Ecospace模型的eCopath与Ecosim的eCopath。在该模型中,特别关注所有营养水平对非生物环境变化的反应的参数化。采用卫星遥感数据来确定初级生产的空间分布和年波动(PP)。利用日常检测卫星海洋颜色的生产力前线的新型生态学方法,预测了对浮游动物的栖息地的空间和时间变化。最后,用统计栖息地的预测产生了对鱼类群体和底部的几种非生物环境变量(包括温度,盐度和溶解氧浓度)的效果的功能反应是由统计栖息地的预测产生的适合由多个渔业独立调查收集的存在的模型。我们模型(ECOSIM)的动态组成部分由时间钓鱼努力,PP,Zooplankton栖息地和非生物环境变量驱动,并安装在丰富和渔业捕获数据。我们模型(EcoSpace)的空间组成部分被构建,在1985 - 2016年的特定年份具有对比的非生物环境条件,预测所有官能团的生物量的可变分布。我们发现,在1985 - 2016年期间,捕鱼是观察到凯尔特海的生态系统变化的主要驱动因素。然而,将环境变异性的整合到模型中和随后改善动态生态成分组分的适应性突出显示I)通过PP和II的整体骨质生产的控制控制温度对几种营养水平的生产率的影响凯尔特海,尤其是具有温暖和冷水亲味的营养团。此外,Ecospace预测表明,商业鱼类物种的空间分布可能在研究期间大大改变。这些空间变化主要似乎受到温度的驱动,因此可能在很大程度上影响未来的渔业鉴于气候变化的连续性。

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