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Long-distance influence of the Rhone River plume on the marine benthic ecosystem: Integrating descriptive ecology and predictive modelling

机译:罗纳河羽流对海洋底栖生态系统的远程影响:描述性生态学与预测模型的整合

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The Gulf of Lions (GoL) is among the most productive areas of the Mediterranean Sea, with the Rhone River contributing with as much as 90% of the liquid and solid materials (including anthropogenic chemicals) reaching the area. In this paper, we assessed whether classical descriptive ecology and MaxEnt predictive species distribution modelling were able to provide complementary information when analysing the long-distance influence of the river discharges on the GoL benthic ecosystem. Samples were collected in August 2014 from 12 stations covering the sedimentary plain of the deep submarine delta, from the Gulf of Fos to Gruissan. Sediments were mostly muddy with a high organic carbon and low P and N contents first decreasing and then increasing from east to west. The same pattern occurred for chlorophyll-a, particulate organic carbon and sea surface temperature, and was overall correlated with metal and pollutant contents derived from agricultural, port, urban and industrial sources driven by Rhone outputs. We observed a typical deltaic succession in the benthos, showing a relatively low diversity and including polychaetes (Sternaspis scutata) and holothurians (Oestergrenia digitata) known to be indicators of high sedimentation rates. Overall, benthos showed an inversed pattern regarding environmental variables, an evident consequence of the Rhone River influence. The suitability of some species was either positively or negatively correlated with some of the environmental variables, producing species-specific predicted distribution patterns, with the highest amount of information allowing to predict distributions being mainly provided by organic pollutants. Even with a limited number of available samples, our integrated approach reveals to be a very robust tool to highlight hidden patterns and contributes to improve our knowledge on how river mediated anthropogenic discharges may influence biodiversity distribution and functional patterns in marine benthic ecosystems. (C) 2019 Elsevier B.V. All rights reserved.
机译:狮子湾(Gol)是地中海生产力最高的地区之一,罗纳河(Rhone River)贡献了该地区多达90%的液体和固体物质(包括人为化学物质)。在本文中,我们评估了经典描述性生态学和MaxEnt预测物种分布模型是否能够在分析河流排泄物对GoL底栖生态系统的远程影响时提供补充信息。 2014年8月,从Fos湾到Gruissan的12个覆盖深海三角洲沉积平原的站点采集了样本。沉积物多为泥质,有机碳含量高,磷和氮含量低,从东向西递减。叶绿素a,颗粒状有机碳和海面温度发生了相同的模式,并且总体上与罗纳河产量驱动的农业,港口,城市和工业来源的金属和污染物含量相关。我们在底栖生物中观察到典型的三角洲演替,显示出相对较低的多样性,其中包括多毛et(Sternaspis scutata)和全人类(Oestergrenia digitata),它们被认为是高沉积速率的指标。总体而言,便士对环境变量表现出相反的模式,这是罗纳河影响的明显结果。一些物种的适宜性与某些环境变量呈正相关或负相关,从而产生了特定于物种的预测分布模式,其中最多的信息量可以预测分布主要是由有机污染物提供的。即使可用的样本数量有限,我们的综合方法也显示出非常强大的工具来突出显示隐藏的模式,并有助于增进我们对河流介导的人为排放如何影响海洋底栖生态系统中生物多样性分布和功能模式的了解。 (C)2019 Elsevier B.V.保留所有权利。

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