鲫不同地理种群的生长特征及其环境影响因子研究

GROWTH CHARACTERISTICS AND ENVIRONMENTAL INFLUENCING FACTORS OF DIFFERENT GEOGRAPHICAL POPULATIONS OF CARASSIUS AURATUS

  • 摘要: 为探究鲫(Carassius auratus)生长特征与环境因子的关系, 研究选取地理环境具有显著差异的7个湖泊(松花湖、乌梁素海、衡水湖、洪泽湖、高邮湖、太湖和洱海)。基于体长-体重关系、生长系数k、渐进体长L及拐点年龄t1等生长参数流量化不同水域鲫的生长发育情况, 并进一步结合曼特尔检验(Mantel Test) 、斯皮尔曼相关分析(Spearman) 和冗余分析(RDA)等多种方法, 解析环境因子对其生长的影响。结果表明: (1)不同种群间平均体长、平均体重存在显著差异(P<0.05); 生长指数b介于 2.96—3.15, 纬度较低的湖泊, 鲫呈现匀速生长, 纬度较高的湖泊, 呈现正异速生长。(2)所有种群均表现为快速生长型(k>0.2); 渐进体长L为 243.50—278.25 mm; 松花湖和乌梁素海拐点年龄t1在2龄以上, 其余均在1龄左右; 生长性能指数φ′处于 4.51—4.76。(3)分析显示, 地理空间因子(海拔、纬度、岸线发育系数)与理化参数(pH、浊度、水深)共同调控生长特征, 且地理空间因子(海拔和岸线发育系数)解释度达76.4% (P<0.05), 占主导地位。本研究揭示了不同地理群体鲫生长策略及其与环境之间的关系, 为进一步探索鲫的生长生态特征和其对环境变化的响应提供了理论依据。

     

    Abstract: To explore the relationship between the growth characteristics and environmental factors of Carassius auratus, this study selected seven lakes with significant geographical differences(Songhua Lake、Wuliangsu Lake、Hengshui Lake、Hongze Lake、Gaoyou Lake、Taihu Lake and Erhai). Based on growth parameters including the length-weight relationship, growth coefficient (k), asymptotic length (L), and inflection age (t1), it quantitatively assessed the growth and development of C. auratus in different waters. Furthermore, methods such as Mantel test, Spearman correlation, and redundancy analysis were employed to analyze the impact of environmental factors on their growth. The results showed that: (1) There were significant differences in the average body length and weight among different populations (P<0.05). The growth index b ranged from 2.96 to 3.15, with C. auratus in lakes at lower latitudes exhibited isometric growth, while those in lakes at higher latitudes showing positive allometric growth. (2) All populations demonstrated a fast-growth pattern (k>0.2), with asymptotic length L ranging from 243.50 to 278.25 mm. The inflection age t1 exceeded 2 years in Songhua Lake and Wuliangsuhai Lake populations, while that in the other lakes was around 1 year old. (3) The growth performance index φ′ ranged from 4.51 to 4.76. The analysis revealed that geographical spatial factors (altitude, latitude, and shoreline development coefficient) and physicochemical parameters (pH, turbidity, and water depth) jointly regulated the growth characteristics. Moreover, geographical spatial factors (altitude and shoreline development coefficient) accounted for 76.4% of the variation (P<0.05) and played a dominant role. This study elucidated the growth strategies of C. auratus populations across different geographical regions and their relationship with the environment, providing a theoretical basis for further exploring the growth ecological characteristics of C. auratus and its response to environmental changes.

     

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