首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Relationships of otter populations with fish, macroinvertebrates and water quality across three Korean rivers revealed by inferential modelling based on evolutionary computation
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Relationships of otter populations with fish, macroinvertebrates and water quality across three Korean rivers revealed by inferential modelling based on evolutionary computation

机译:基于进化计算的推理建模,跨越鱼,大型脊椎动物和水质与鱼类,大型脊椎动物和水质的关系

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Depending on the life cycles of trophic biota, cascades of biological transition are established between top-down and bottom-up relationship. In South Korea, flows of the large rivers have been regulated with large weirs and estuary barrages construction. The Eurasian otter Lutra lutra is a semi-aquatic carnivore and top predator in freshwater systems. In order to understand the aquatic community variability under the impact of river modifications, we assessed the strengths of otter populations in relation to limnological data monitored between 2014 and 2016 at 250 sites of the Nakdong River, 92 sites of the Yeongsan River and 81 sites of the Seumjin River. The habitat preference and resource use of otter populations have been measured for each of the 423 river sites by the number of spraint (= otters' feces) per 600 m. The limnological data included water quality parameters, abundances of Mollusca, Anthropoda, Annelida, Nematomorpha, and Platyhelminthes as well as abundances of benthivore, herbivore, planktivore and piscivore fish. The hybrid evolutionary algorithm HEA has been applied to model relationships of otter with water quality, the benthic invertebrates and fish to determine habitat and food preferences of otter across the three rivers.
机译:根据营养生物群的寿命周期,在自上而下和自下而上的关系之间建立级联的生物转变。在韩国,大型河流的流量受到大型堰和河口屏障建设。欧亚水獭Lutra Lutra是淡水系统中半水生肉食病和顶级捕食者。为了了解河流修改的影响下的水生社区变异性,我们评估了2014年至2016年间2014年至2016年间植物资料的植物资源的优势,在Nakdong River,92个地点的云杉河和81个地点Seumjin河。通过每600米的盗窃数量(=水獭的粪便),为423个河段中的每一个都测量了水獭群的栖息地偏好和资源使用。 Limnological数据包括水质参数,MOLLUSCA,Anthropoda,Annelida,Nematomorpha和Platyhelminthes以及Bentivore,食草动物,Planktivore和Piscivore Fish的丰富。混合进化算法HEA已经应用于水质,底栖无脊椎动物和鱼类水质的模式,以确定三条河流水獭的栖息地和食物偏好。

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