Suitability Models at Mesohabitat Scale of Native Freshwater Fish and Mussels for Their Application in Environmental Flows Assessment in the NE of the Iberian Peninsula

Anna Costarrosa, D. Jorda-Capdevila, Andreu Porcar, J. López-Dovál, Q. Pou-Rovira, A. Herrero, G. Negro, Roberta Colucci, Beatrice Pinna, P. Vezza
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Abstract

: In Mediterranean streams and rivers in general, aquatic organisms use a specific habitat for rearing, growing, breeding, and wintering. Multiple studies have focused on this subject, but few for the specific purpose of developing suitability models that feed hydrobiological models for the analysis of flow regimes and the design of environmental flows. Therefore, this study analyzes the habitat preferences of five freshwater species of fish and mussels in the NE of the Iberian Peninsula for that purpose. We use simple decision trees and random forest (RF), a machine learning technique based on the aggregation of multiple decision trees, to develop suitability models that relate the habitat preferences of the five species—separately adults and juveniles—to different attributes of a physical habitat at the meso-scale. Selected attributes are the surface percentage of different levels of depth (0–15 cm, 15–30 cm, . . . , >120 cm), velocity (0–15 cm/s, 15–30 cm/s, . . . , >120 cm/s) and abiotic/biotic substrate (e.g., gigalithal, megalithal, detritus, phytal), and absence/presence of refuges (boulder, canopy shading, emerging vegetation, undercut banks, woody debris, roots). The models were developed in order to predict three ranks of habitat suitability: absence, presence and abundance, depending on the mentioned attributes of the mesohabitat analysed. Our study provides quantitative results concerning the correspondence between the presence and abundance of different species and habitat characteristics, confirming qualitative observations stated in previous studies. We proved now that the adult mussels of Unio genus require a minimum of 5% of sand or silt, low velocities, and undercut banks and roots; that Barbus meridionalis habitat changes considerably among seasons; that Salaria fluviatilis needs coarse substrates (megalithal, macrolithal and mesolithal) and velocities above 15 cm/s; and that the adult Squalius laietanus prefers glides and pools with depths above 60 cm and velocities below 45 cm/s, depending on the season; and that Anguilla anguilla prefers intermediate size substrates (macrolithal, mesolithal and microlithal). These results are essential for the modeling of environmental flows in rivers where these species are present. Thus, by analyzing how their physical habitat changes according to the flow regime, one can see whether the available habitat of fish and mussels increases or decreases and predict periods of danger for the species.
伊比利亚半岛东北部本地淡水鱼和贻贝中生境适宜性模型在环境流量评价中的应用
在一般的地中海溪流和河流中,水生生物使用特定的栖息地来饲养、生长、繁殖和越冬。许多研究都集中在这一主题上,但很少有专门用于开发适合性模型的研究,这些模型为分析流动状况和设计环境流动提供了水文生物学模型。因此,本研究分析了伊比利亚半岛东北部五种淡水鱼类和贻贝的栖息地偏好。我们使用简单决策树和随机森林(RF)——一种基于多决策树聚合的机器学习技术,建立了中尺度上五种物种(分别为成虫和幼虫)的栖息地偏好与物理栖息地不同属性之间的适应性模型。选择的属性是不同深度(0 - 15cm, 15 - 30cm,…)的表面百分比。, >120厘米),速度(0-15厘米/秒,15-30厘米/秒,…(>120厘米/秒)和非生物/生物基质(如巨石、巨石、碎屑、植物),以及避难所的缺失/存在(巨石、树冠遮阳、新兴植被、下切河岸、木质碎屑、根)。这些模型是为了根据所分析的中生境的上述属性来预测生境适宜性的三个等级:缺失、存在和丰富。我们的研究提供了关于不同物种的存在和丰度与栖息地特征之间的对应关系的定量结果,证实了以往研究的定性观察结果。我们现在已经证明,Unio属的成年贻贝至少需要5%的沙子或淤泥,速度较低,并有凹陷的河岸和根;子午线刺的生境随季节变化较大;河栖Salaria fluviatilis需要粗质基质(巨石、大石和中石器),生长速度大于15 cm/s;根据季节的不同,成年平角鲨喜欢在深度60厘米以上、速度45厘米/秒以下的水中滑行和游泳;鳗鲡喜欢中等大小的基质(大岩石、中岩石和微岩石)。这些结果对于在这些物种存在的河流中建立环境流动模型至关重要。因此,通过分析它们的自然栖息地如何随着水流的变化而变化,人们可以看到鱼类和贻贝的可用栖息地是增加还是减少,并预测该物种的危险时期。
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