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Modelling habitat preference, abundance and species richness of alien macrocrustaceans in surface waters in Flanders (Belgium) using decision trees

机译:使用决策树对弗兰德斯(比利时)地表水中外来巨甲壳类动物的栖息地偏好,丰度和物种丰富度进行建模

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The introduction and the spread of alien invasive species are a worldwide phenomenon causing global ecological and economic damages. Among the invaders, alien macrocrustaceans are known to be very successful invertebrates that colonise new habitats rapidly. Data from different fresh and brackish waters gathered by the Flemish Environment Agency (VMM) were used to build data-driven models predicting habitat preference, abundance and species richness of alien macro-Crustacea present in surface waters in Flanders. Different techniques such as regression and classification trees in combination with several optimisation methods (e.g. pruning) were used to construct the models. The performance of the models was moderate, because a balance between performance, ecological relevance and complexity was strived for. When using a three-fold cross validation it was found that the variation between the folds was limited, which is an indication of the robustness and the good reliability of the constructed models. Based on a sensitivity analysis the importance of conductivity, Kjeldahl nitrogen and shipping were stressed as well as graphically illustrated. Alien macrocrustaceans were predicted as present under brackish water conditions as well as in fresh waters with intensive ship traffic and low levels of organic pollution. The alien species richness was higher in rivers with intensive ship traffic and increased with increasing conductivity. Especially in brackish waters, alien macrocrustaceans reached high abundances. In fresh water, the abundance of alien species was generally lower. An integrated model that combined our habitat suitability model with a water quality model was used to predict the future distribution of alien macrocrustaceans. The predictions indicated that the prevalence and the species richness of alien macrocrustaceans are likely to increase with improving chemical water quality, whereas their abundance will probably decrease slightly. From our analysis, it is clear that models are a useful tool and that decision makers should focus on vulnerable areas such as brackish water areas and areas with intensive ship traffic in order to prevent the further introduction and spread of alien species.
机译:外来入侵物种的引进和传播是一种全球性现象,造成全球生态和经济损失。在入侵者中,外来巨甲壳类动物是非常成功的无脊椎动物,可以迅速在新的栖息地定殖。弗拉芒环境局(VMM)收集了来自不同淡水和微咸水的数据,用于建立数据驱动的模型,以预测法兰德斯表层水域中存在的外来大型甲壳类动物的栖息地偏好,丰度和物种丰富度。使用不同的技术(例如回归树和分类树)以及几种优化方法(例如修剪)来构建模型。这些模型的性能适中,这是因为要在性能,生态相关性和复杂性之间寻求平衡。当使用三折交叉验证时,发现折之间的变化是有限的,这表明所构建模型的鲁棒性和良好的可靠性。根据敏感性分析,重点强调了电导率,凯氏氮和运输的重要性,并以图形方式进行了说明。据预测,外来巨甲壳动物存在于咸淡的水质条件下以及在船舶密集运输且有机污染水平低的淡水中。在船舶密集的河流中,外来物种的丰富度更高,并且随着电导率的增加而增加。尤其是在微咸水域中,外来巨甲壳动物达到了很高的丰度。在淡水中,外来物种的丰富度通常较低。使用将我们的栖息地适应性模型与水质模型相结合的集成模型来预测外来大甲壳动物的未来分布。这些预测表明,随着化学水质量的改善,外来大甲壳动物的患病率和物种丰富度可能会增加,而它们的丰度可能会略有下降。从我们的分析中可以清楚地看出,模型是一种有用的工具,决策者应将重点放在脆弱的地区,例如咸水区和船舶密集的地区,以防止外来物种的进一步传入和扩散。

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