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Habitat Suitability Modelling of Benthic Macroinvertebrate Community in Wetlands of Lake Tana Watershed, Northwest Ethiopia

机译:埃塞俄比亚西北地区潮湿地湿地栖息地栖息地施工适宜性建模

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摘要

Predictive modelling corroborates decision-making in the development of a standard habitat assessment protocol. In this study, we modelled environmental requirements of benthic macroinvertebrates. Classification and regression tree models (CART) and ordination analysis were performed to identify important variables affecting macroinvertebrate community pattern in the Lake Tana Watershed. A dataset of 95 samples was collected from eight wetlands. Among the modelled taxa, Coenagrionidae and Libellulidae had substantial predictive performance based on Kappa statistic ( 0.6) whereas Baetidae, Physidae, Tipulidae and Hydrophilidae had moderate predictive model performance ( = 0.4). Vegetation cover, leather tanning, vegetation clearance and nitrate ion were the topmost selected environmental variables influencing the occurrence of macroinvertebrate taxa. The conditional analysis depicted that the abundance of Coenagrionidae and Libellulidae increased with the increasing in vegetation cover. Overall, macroinvertebrate taxa have a clear habitat requirement within the habitat gradient studied and hence, could be a potential candidate for biomonitoring and provide valuable information in the development of a standard wetland assessment protocol.
机译:预测建模证实了标准栖息地评估协议发展的决策。在这项研究中,我们建模了底栖椎骨门的环境要求。进行分类和回归树模型(推车)和排序分析,以确定影响塔纳流域湖中的大型脊椎动物群落模式的重要变量。从八个湿地收集了95个样本的数据集。在模拟的分类群中,Coenagrionidae和Libellilidae基于Kappa统计(> 0.6)的预测性能,而Baetidae,Physidae,Tipulidae和疏水化酶具有中等的预测模型性能(> = 0.4)。植被覆盖,皮革鞣制,植被间隙和硝酸根离子是影响大型脊椎椎间类植物发生的最大选择的环境变量。条件分析描绘的是植被覆盖的增加的凝固素和肉竹桃植物增加。总体而言,大型幽默族分类群在学习的栖息地梯度内具有明显的栖息地要求,因此可能是生物监测的潜在候选人,并在标准湿地评估议定书的发展中提供有价值的信息。

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