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闽东北海域中华管鞭虾种群聚集特性
引用本文:蔡建堤,徐春燕,马超,刘勇,庄之栋,陈洁,沈长春.闽东北海域中华管鞭虾种群聚集特性[J].生态学报,2017,37(6):1844-1850.
作者姓名:蔡建堤  徐春燕  马超  刘勇  庄之栋  陈洁  沈长春
作者单位:福建省水产研究所, 厦门 361013;福建省海洋生物增养殖与高值化利用重点实验室, 厦门 361013;霞浦县海洋与渔业局, 霞浦 355100,福建省水产研究所, 厦门 361013;福建省海洋生物增养殖与高值化利用重点实验室, 厦门 361013,福建省水产研究所, 厦门 361013;福建省海洋生物增养殖与高值化利用重点实验室, 厦门 361013,福建省水产研究所, 厦门 361013;福建省海洋生物增养殖与高值化利用重点实验室, 厦门 361013,福建省水产研究所, 厦门 361013;福建省海洋生物增养殖与高值化利用重点实验室, 厦门 361013,霞浦县海洋与渔业局, 霞浦 355100,福建省水产研究所, 厦门 361013;福建省海洋生物增养殖与高值化利用重点实验室, 厦门 361013
基金项目:福建省科技厅省属公益类科研院所基本科研专项(2012R1101-1,2014R1003-5,2015R1003-2);科技部支撑项目(2007BAD43B01);福建省科技创新平台建设项目(2015N2001);闽台重要海洋生物资源高值化开发技术公共服务平台(2014FJPT01);福建重要海洋经济生物种质库与资源高效开发技术公共服务平台(14PZY017NF17)
摘    要:以负二项参数、平均拥挤度和聚块指数为种群分布格局强度指标,分析了闽东北海域中华管鞭虾(Solenocera crassicornis)种群聚集特性,探讨了种群聚集特性的驱动因子。结果表明,中华管鞭虾种群聚集强度较强,个体平均拥挤度较高,种群主要集中于少数团聚的斑块,不同季节种群聚集特性差异显著,春季,种群聚集强度较强,个体平均拥挤度最低,种群主要由单一团聚的斑块组成;夏季,种群聚集强度较弱,个体平均拥挤度高,种群主要由4个斑块组成;秋季,种群聚集强度最弱,个体平均拥挤度较低,种群主要由7个斑块组成;冬季,种群聚集强度最强,个体平均拥挤度最高,种群主要由单一团聚的大斑块组成。随着个体生长速度的增大,种群呈现扩散的趋势,饵料浮游动物生物量和底层水温是影响种群聚集强度的主要因子。

关 键 词:中华管鞭虾  闽东北海域  聚集特性  种群分布格局  格局强度  负二项参数  平均拥挤度  聚块指数
收稿时间:2015/11/3 0:00:00
修稿时间:2016/6/30 0:00:00

Aggregations of the Solenocera crassicornis in the sea area northeast of Fujian
CAI Jiandi,XU Chunyan,MA Chao,LIU Yong,ZHUANG Zhidong,CHEN Jie and SHEN Changchun.Aggregations of the Solenocera crassicornis in the sea area northeast of Fujian[J].Acta Ecologica Sinica,2017,37(6):1844-1850.
Authors:CAI Jiandi  XU Chunyan  MA Chao  LIU Yong  ZHUANG Zhidong  CHEN Jie and SHEN Changchun
Institution:Fisheries Research Institute of Fujian, Xiamen 361013, China;Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361013, China;Xiapu Oceanic and Fishery Bureau, Xiapu 355100, China,Fisheries Research Institute of Fujian, Xiamen 361013, China;Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361013, China,Fisheries Research Institute of Fujian, Xiamen 361013, China;Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361013, China,Fisheries Research Institute of Fujian, Xiamen 361013, China;Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361013, China,Fisheries Research Institute of Fujian, Xiamen 361013, China;Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361013, China,Xiapu Oceanic and Fishery Bureau, Xiapu 355100, China and Fisheries Research Institute of Fujian, Xiamen 361013, China;Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361013, China
Abstract:The current study analyzed the aggregation of Solenocera crassicornis in the sea area northeast of Fujian based on the pattern intensity index of the negative binomial parameter, mean crowding, and poly block index and discussed the driving factors of population aggregation. Results revealed that the aggregation intensity and mean crowding were high and the population was mainly concentrated in small reunion plaques with a season-specific pattern. In spring, the population primarily consisted of a single patch with stronger aggregation intensity and the lowest mean crowding than that in the other seasons. In summer, the population primarily consisted of four patches with weaker aggregation intensity and higher mean crowding than those in the other seasons. In the fall, the population primarily consisted of seven patches with the weakest aggregation intensity and higher mean crowding than that in the other seasons. In winter, the population primarily consisted of a single large patch with the strongest aggregation intensity and the highest mean crowding. The population spread with increased individual growth rates. Zooplankton biomass (diet) and bottom water temperature were the major factors affecting aggregation intensity of S. Crassicornis.
Keywords:Solenocera crassicornis  sea area northeast of fujian  aggregation properties  population distribution pattern  pattern intensity  negative binomial parameter  mean crowding  poly block index
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