Meng Ya-Han, Gao Wei-Zhen, Li Yan, Shi Lei
Xinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Organism, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
College of Animal Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Animals (Basel). 2025 Jul 18;15(14):2128. doi: 10.3390/ani15142128.
Accurate age determination is fundamental for investigating fish population dynamics and growth patterns. This study used the lapillus to determine age in populations from an oxbow lake and a stream. Growth patterns were evaluated using three models (the Von Bertalanffy, Gompertz, and Logistic models). The oxbow lake population showed faster growth and longer lifespan (6 years in Dacao Lake; 5 years in Liutiao Stream). Conversely, the stream population displayed a trend toward smaller size and younger age. Both populations exhibited higher Fulton's condition factor in juveniles than in adults. The species exhibited a fast-growth type, with similar fitting results across models. These findings reflect subtle differentiation in life history strategies across habitats, likely related to environmental conditions and competitive pressure from invasive species. These insights into life history underscore the importance of further research to support conservation and sustainable management of this endemic species.
准确确定年龄对于研究鱼类种群动态和生长模式至关重要。本研究使用耳石来确定来自河漫滩湖泊和溪流种群的年龄。使用三种模型(冯·贝塔朗菲模型、冈珀茨模型和逻辑斯蒂模型)评估生长模式。河漫滩湖泊种群显示出更快的生长速度和更长的寿命(大曹湖为6年;柳条溪为5年)。相反,溪流种群呈现出体型较小和年龄较小的趋势。两个种群的幼鱼富尔顿状况因子均高于成鱼。该物种表现出快速生长类型,各模型的拟合结果相似。这些发现反映了不同栖息地生活史策略的细微差异,可能与环境条件和入侵物种的竞争压力有关。这些对生活史的见解强调了进一步研究以支持该特有物种保护和可持续管理的重要性。