Zare-Shahraki Mojgan, Ebrahimi-Dorche Eisa, Bruder Andreas, Flotemersch Joseph, Blocksom Karen, Bănăduc Doru
Department of Natural Resources, Isfahan University of Technology, Isfahan 84156-83111, Iran.
Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland, 6850 Mendrisio, Switzerland.
Water (Basel). 2022 Jul 14;14(14):1-25. doi: 10.3390/w14142226.
We analyzed spatial variation in fish species richness and community composition in the Karun River basin, Iran. Knowledge about fish diversity in the basin is incomplete and varies widely along spatial and temporal scales: The Karun is the longest river in Iran (950 km) with the largest drainage area (about 67,000 km). Fish samples were collected from 54 sites from July through August 2019 using a backpack electro-fisher. Physico-chemical and habitat parameter data collected at each site included pH, conductivity (μS/cm), dissolved oxygen (mg/L), water temperature (°C), turbidity (NTU), stream width (m), stream depth (m), water velocity (m/s) and elevation (m). In total, 37 species were collected (5241 individuals weighing 110.67 kg). The species collected represented 12 families and 27 genera. A total of 13 endemic species (35.14%), 16 native species (43.24%), and eight non-native species (21.62%) were recorded. Diversity indices were calculated and used to measure the spatial variation in community composition. Relationships between native and endemic species assemblage structure and environmental descriptors were assessed using canonical correspondence analysis (CCA). The first two axes of the canonical correspondence analysis explained 62.57% of the variation in the data. Of the nine environmental descriptors analyzed, eight significantly affected species distribution; however, electrical conductivity and elevation were most influential. Our study provides up-to-date status information on the distribution of freshwater fishes in the Karun River basin. This information is essential for developing conservation and management strategies to support the long-term sustainability of fish populations in the Karun River basin.
我们分析了伊朗卡伦河流域鱼类物种丰富度和群落组成的空间变化。该流域鱼类多样性的相关知识并不完整,且在空间和时间尺度上差异很大:卡伦河是伊朗最长的河流(950公里),流域面积最大(约67,000平方公里)。2019年7月至8月,使用背负式电鱼器从54个地点采集了鱼类样本。在每个地点收集的理化和栖息地参数数据包括pH值、电导率(微西门子/厘米)、溶解氧(毫克/升)、水温(摄氏度)、浊度(NTU)、河流宽度(米)、河流深度(米)、水流速度(米/秒)和海拔(米)。总共采集到37个物种(5241个个体,重110.67千克)。所采集的物种代表了12个科和27个属。共记录到13个特有物种(35.14%)、16个本地物种(43.24%)和8个非本地物种(21.62%)。计算了多样性指数并用于衡量群落组成的空间变化。使用典范对应分析(CCA)评估本地和特有物种组合结构与环境描述符之间的关系。典范对应分析的前两个轴解释了数据中62.57%的变化。在所分析的九个环境描述符中,有八个对物种分布有显著影响;然而,电导率和海拔的影响最为显著。我们的研究提供了卡伦河流域淡水鱼分布的最新状况信息。这些信息对于制定保护和管理策略以支持卡伦河流域鱼类种群的长期可持续性至关重要。