Rossaro Bruno, Marziali Laura
Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Via Celoria 2, 20133 Milan, Italy.
National Research Council-Water Research Institute (CNR-IRSA), Via del Mulino 19, 20861 Brugherio, Italy.
Insects. 2024 Apr 14;15(4):272. doi: 10.3390/insects15040272.
Factors responsible for species distribution of benthic macroinvertebrates, including responses at different spatial scales, have been previously investigated. The aim of the present research was to review the most relevant factors explaining chironomid species distribution focusing on factors operating at different spatial scales, such as latitude, longitude, altitude, substrate, salinity, water temperature, current velocity, conductivity, acidity, dissolved oxygen, nutrient content etc. acting at regional levels and at a large or small water basin level. Data including chironomid species abundances from different lentic and lotic waters in Italy and other surrounding countries were analyzed using partial canonical correspondence analysis (pCCA) and multiple discriminant analysis (DISCR). Spatial analyses, including univariate Moran's I correlograms, multivariate Mantel correlograms and Moran's eigenvector maps (MEMs), were thereafter carried out. The results showed that habitat type, including different types of lotic waters (i.e., kryal, crenal, rhithral, potamal) and different lake types (i.e., littoral, sublittoral, profundal zones), is the most significant factor separating chironomid assemblages, while spatial factors act only as indirect influencers.
此前已对影响底栖大型无脊椎动物物种分布的因素进行了研究，包括在不同空间尺度上的响应。本研究的目的是回顾解释摇蚊物种分布的最相关因素，重点关注在不同空间尺度上起作用的因素，如纬度、经度、海拔、底物、盐度、水温、流速、电导率、酸度、溶解氧、营养成分等，这些因素在区域层面以及大或小的流域层面发挥作用。使用偏典范对应分析（pCCA）和多重判别分析（DISCR）对来自意大利及其他周边国家不同静水和流水水体的摇蚊物种丰度数据进行了分析。此后进行了空间分析，包括单变量莫兰I相关图、多变量曼特尔相关图和莫兰特征向量图（MEMs）。结果表明，栖息地类型，包括不同类型的流水水体（即冰川水、泉水、小河流水、大河流水）和不同类型的湖泊（即沿岸带、亚沿岸带、深水区），是区分摇蚊群落的最重要因素，而空间因素仅作为间接影响因素。
