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Environmental influences on the spatio‐temporal distribution of Coilia nasus in the Yangtze River estuary
Journal of Applied Ichthyology ( IF 0.9 ) Pub Date : 2020-02-28 , DOI: 10.1111/jai.14028
Jin Ma 1 , Bai Li 2 , Jing Zhao 1 , Xuefang Wang 1, 3 , Cameron T. Hodgdon 2 , Siquan Tian 1, 3
Affiliation  

The Yangtze River estuary (YRE) is an important migration channel and foraging habitat for Coilia nasus. Due to its ecological significance and a prioritization of this species’ protection, the need to investigate and analyze environmental relationships of the abundance of Coilia nasus in the YRE as well as develop an understanding of their temporal and spatial distributions is becoming exceedingly important. Using fishery data and environmental survey data from 2009 to 2016, three models including generalized additive mixed models (GAMM), generalized additive models with zero‐inflated Poisson distribution (ZIP‐GAM) and two‐step GAM were used to analyze relationships between environmental factors and the distribution of Coilia nasus in the YRE. The results showed that model fitting of GAMM was more consistent with observations and revealed influences of water temperature, salinity, chlorophyll, and pH on distribution. GAMM demonstrated that higher Coilia nasus abundances were located in waters with water temperature values at 15°C and 30°C, and lower Coilia nasus abundances were located in areas with water temperature values at 10°C and 20°C. All models indicated that the effect of salinity on abundance of Coilia nasus present a multimodal pattern including three peaks at 5, 15, and 25 ppt respectively. Additionally, abundance of Coilia nasus increased with the increase of chlorophyll A in its range of 0–4 mg/L. In a range of 8.0–9.5, higher PH value was more suitable for the aggregation of Coilia nasus. Cross validation was used to evaluate the predictive performance of models and GAMM was found to be the best. The predicted abundance distribution of Coilia nasus in the summer and autumn of 2016 was relatively higher overall than that in winter and spring. The predicted zero abundance distribution pattern was consistent with the sampling presence distribution which was obtained using fishery independent survey data of the year 2009–2015. Facing the urgency protection of Coilia nasus in YRE, results of this study could be used for Coilia nasus conservation and reserve planning.

中文翻译:

环境对长江口鲇鱼时空分布的影响

长江口(YRE)是鲇鱼重要的迁徙通道和觅食栖息地。由于其生态意义和对该物种保护的优先考虑,调查和分析黄河鲇鱼丰度的环境关系以及了解它们的时空分布变得非常重要。利用2009-2016年渔业数据和环境调查数据,采用广义加性混合模型(GAMM)、广义零膨胀泊松分布(ZIP-GAM)和两步GAM三个模型分析环境因子之间的关系以及 Coilia nasus 在 YRE 的分布。结果表明,GAMM 的模型拟合与观察结果更加一致,揭示了水温、盐度、叶绿素和 pH 值对分布的影响。GAMM 表明,较高的鲇鱼丰度位于水温值为 15°C 和 30°C 的水域,而较低的鲇鱼丰度位于水温值为 10°C 和 20°C 的区域。所有模型都表明盐度对鲣鱼丰度的影响呈现出多峰模式,包括分别在 5、15 和 25 ppt 处的三个峰。此外,随着叶绿素 A 在 0-4 mg/L 范围内的增加,鲇鱼的丰度增加。在8.0-9.5范围内,较高的PH值更适合鲇鱼的聚集。交叉验证用于评估模型的预测性能,发现 GAMM 是最好的。2016年夏秋两季鲇鱼的预测丰度分布总体上高于冬春。预测的零丰度分布模式与使用 2009-2015 年渔业独立调查数据获得的抽样存在分布一致。面对长江流域鲇鱼保护的紧迫性,本研究结果可用于鲇鱼保护和保护区规划。预测的零丰度分布模式与使用 2009-2015 年渔业独立调查数据获得的抽样存在分布一致。面对长江流域鲇鱼保护的紧迫性,本研究结果可用于鲇鱼保护和保护区规划。预测的零丰度分布模式与使用 2009-2015 年渔业独立调查数据获得的抽样存在分布一致。面对长江流域鲇鱼保护的紧迫性,本研究结果可用于鲇鱼保护和保护区规划。
更新日期:2020-02-28
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