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首页> 外文期刊>ICES Journal of Marine Science >A temperature-dependent reproductive model for spotted seatrout (Cynoscion nebulosus) explaining spatio-temporal variations in reproduction and young-of-the-year recruitment in Florida estuaries
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A temperature-dependent reproductive model for spotted seatrout (Cynoscion nebulosus) explaining spatio-temporal variations in reproduction and young-of-the-year recruitment in Florida estuaries

机译：斑seat（Cynoscion nebulosus）的温度依赖性生殖模型，解释了佛罗里达河口繁殖和年幼募集的时空变化

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摘要

Spotted seatrout (Cynoscion nebulosus) exhibit various seasonal patterns of reproduction and juvenile recruitment in estuaries across their range. To explain this variability, data on the reproductive state of 1674 individual females from the Indian River Lagoon were used to develop a generalized additive model (GAM) describing the relationship between reproduction and local environmental conditions. The model predicted that optimum spawning conditions exist at a water temperature of 29℃, indicating that if this temperature was exceeded during the spawning season, spawning activity would be temporarily curtailed, which would lead to a bimodal recruitment curve. In contrast, daily mean water temperatures below the optimum condition would result in a single recruitment peak. The reproductive model was largely consistent with historical information on spotted seatrout spawning seasonality along the gulf and Atlantic coasts of the US. Factors other than temperature (I.e., hours after sunset, lunar period and size and condition factor of females) were also found to regulate reproductive activity. Model predictions of the number of recruits based on local temperature regimes during the spawning season were compared to actual catches of juvenile spotted seatrout in three Florida estuaries. The reproductive model was able to predict the timing and modality of recruitment, but the relative amplitude of the fluctuations in abundance was dampened considerably compared to the observed variation.
机译：斑seat（Cynoscion nebulosus）在其范围内的河口处表现出各种繁殖和幼年繁殖的季节性模式。为了解释这种变异性，使用了来自印度河泻湖的1674名雌性个体的生殖状态数据来建立描述繁殖与当地环境条件之间关系的广义加性模型（GAM）。该模型预测最佳的产卵条件是在29℃的水温下存在，这表明如果在产卵季节超过该温度，产卵活性将暂时降低，这将导致双峰募集曲线。相反，低于最佳条件的每日平均水温将导致单个募集高峰。繁殖模型在很大程度上与美国海湾和大西洋沿岸发现的座位淘汰者产卵季节的历史信息一致。还发现除了温度以外的因素（即日落后的小时数，阴历和雌性的体型和状况因素）还可以调节生殖活动。在产卵季节根据当地温度状况对新兵人数的模型预测与佛罗里达州三个河口中发现的幼鸟的实际捕捞量进行了比较。生殖模型能够预测募集的时间和方式，但是与观察到的变化相比，丰度波动的相对幅度被大大地衰减了。

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