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Model-based analysis of the relationship between macroinvertebrate traits and environmental river conditions
Environmental Modelling & Software ( IF 4.8 ) Pub Date : 2017-12-06 , DOI: 10.1016/j.envsoft.2017.11.025
Marie Anne Eurie Forio , Peter L.M. Goethals , Koen Lock , Victor Asio , Marlito Bande , Olivier Thas

Aquatic macroinvertebrates, 18 physical-chemical water characteristics and 30 hydromorphological variables were assessed at 85 locations on Leyte island, Philippines. Biological traits derived from literature were linked to the biological samples based on four different trait estimation methods. These data were used to determine the relation with river characteristics using negative binomial regression. At least five feeding habit modalities were associated with conductivity, velocity, pH, temperature, ammonium-N concentrations, and sediment. The various methods of estimating trait abundance differ in determined major patterns and ecological implications. Therefore, the estimation method used should be explicitly described in trait-related papers to avoid misinterpretation. Trait abundance-environment relationships can be linear or non-linear and therefore a careful selection of the functional relationship should be performed. The process of extracting knowledge from data is of paramount importance as relevant ecological insights were extracted providing insights on flow, wastewater and nutrient management in the rivers.



中文翻译:

基于模型的大型无脊椎动物性状与环境河流状况之间关系的分析

在菲律宾莱特岛的85个地点评估了水生大型无脊椎动物,18个物理化学水特征和30个水形态变量。基于四种不同的性状估计方法,将从文献中获得的生物性状与生物样品相关联。这些数据用于通过负二项式回归确定与河流特征的关系。至少有五种喂养习惯与电导率,速度,pH,温度,铵态氮浓度和沉积物有关。估计性状丰度的各种方法在确定的主要模式和生态意义上有所不同。因此,应在特质相关论文中明确描述所使用的估计方法,以免造成误解。特质丰度与环境的关系可以是线性或非线性的,因此应仔细选择功能关系。从数据中提取知识的过程至关重要,因为提取了相关的生态学见识,可提供有关河流流量,废水和养分管理的见识。

更新日期:2017-12-06
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