基于水声学方法的天目湖鱼类资源捕捞与放流的生态监测
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中国科学院南京地理与湖泊研究所 湖泊与环境国家重点实验室 中国科学院大学,中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,河南农业大学,中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室

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国家科技支撑计划资助项目(2012BAD25B07);环保部环保公益资助项目(2010467014);江苏省水产三项工程资助项目(PJ2011-55)


Ecological monitoring of the fish resources catching and stocking in Lake Tianmu basing on the hydroacoustic method
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Nanjing Institute of Geography,Nanjing Institute of Geography,Nanjing Institute of Geography,Henan Agricultural University,Nanjing Institute of Geography,Nanjing Institute of Geography

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    摘要:

    在天目湖捕捞赶鱼前(2011年12月)、赶鱼后(2012年1月)、捕捞与放流后(2012年3月)3个渔业阶段,结合渔业捕捞统计,采用水声学方法对天目湖鱼类资源(赶鱼后为不包括集鱼网箱的湖区鱼类资源)的捕捞与放流进行了生态监测,并构建GIS模型,得到鱼类种群结构、大小组成、鱼类密度、鱼类集群、鱼类资源量及其分布,为天目湖保水渔业的实施和渔业生产提供科学依据。天目湖鱼类种群以鲤科鱼类为主,鲢鳙2011年捕捞统计重量占比为98.07%,单网簖采样尾数占比为68.72%,鱼类资源受放流种类和规格影响较大;赶鱼前后和捕捞与放流后3个渔业阶段的鱼类平均目标强度(TS)分别为(-47.84±4.79)dB、(-48.58±4.98)dB、(-47.24±5.10)dB,且差异性显著(P < 0.05),捕捞与放流后TS在-45——40 dB的鱼类明显升高到24.40%;3个渔业阶段的鱼类密度(FPCM)分别为(0.0124±0.0292)尾/m3、(0.0062±0.0227)尾/m3、(0.0098±0.0185)尾/m3,捕捞赶鱼作业显著(P < 0.05)降低了鱼类密度,而捕捞与放流后鱼类密度显著(P < 0.05)低于赶鱼前则是由于水深上升所致;在冬季的中下层水体出现典型的鱼类聚群,且随温度降低团聚程度提高;通过构建GIS模型评估鱼类资源量,赶鱼前约61万尾、赶鱼后约38万尾、捕捞与放流后约67万尾,资源量在中下游分布较高。

    Abstract:

    Lake fishery is an important component of Chinese freshwater fisheries. The fish is at the top or higher trophic levels of the food chain in aquatic ecosystems. Stocking artificially in lakes (reservoirs) would lead to the increase of fish biomass and overfishing would lead to a sharp reduction of fish biomass. All these would have a deep impact on the lake ecosystem through food web trophic relation. Lake Tianmu fishery take both the protection of the water environment and fisheries production into account, mainly implementing the non-classical biological manipulation by stocking silver carp and bighead carp to filter the phytoplankton to prevent and control cyanobacterial bloom, which aims to improve water quality. Ecological monitoring of the fish resources is the foundation of fisheries regulation. Hydroacoustic method provides an efficient means of achieving this goal with such superiorities: quick and efficient, large surveying area, no damage to fish resource, providing continuous data, positioning the fish spatial distribution in natural state.
    Combining fisheries catching statistics and hydroacoustic method, an ecological monitoring of fish resources' (fish in aggregating cage was exclusive of fish resources after the fishery driving) catching and stocking in Lake Tianmu was carried out in three fishing stages, before the fishing driving(December 2011), after the fishing driving (January 2012) and after the fishing catching and stocking(March 2012). And then fish population structure, size component, fish density, fish aggregation, fish biomass and its distribution were gained with developing GIS model, which could provide scientific basis to the implementation of aquatic environment protection oriented fishery and fisheries production in Lake Tianmu. The cyprinids are the main fish populations in Lake Tianmu with the silver carp and bighead carp contributing weight ratio of 98.07% in the fisheries production of 2011 and mantissa ratio of 68.72 in single network bamboo sampling statistics. Fish resources are affected significantly by the types and size of stocking fish. The fish average target strength(TS) of the three fishing stages was (-47.84±4.79) dB, (-48.58±4.98) dB and (-47.24±5.10) dB respectively with significantly(P < 0.05)difference and the ratio of fish TS in -45— -40 dB went up to 24.40% after the catching and stocking. The fish density(FPCM)of the three fishing stages was (0.0124±0.0292) ind/m3, (0.0062±0.0227) ind/m3 and (0.0098±0.0185) ind/m3 respectively. The fishing driving decreased the fish density significantly(P < 0.05), while the fish density after fishing catching and stocking was significantly(P < 0.05)lower than before due to the arise of the water depth. Furthermore, classic fish aggregations were detected in the middle and bottom water body in winter and agglomeration improved with decreasing temperature. Assessment of the biomass were gained by developing GIS model with 610000 ind before the fishing driving, 380000 ind after the fishing driving and 670000 ind after the fishing catching and stocking. In addition, higher fish biomass was distributed in the middle and down reaches of the lake. Finally, discussions were performed on the efficacy of the fishing driving and the accuracy of the assessment of fish resources by hydroacoustic survey method in Lake Tianmu.

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孙明波,谷孝鸿,曾庆飞,王银平,毛志刚,谷先坤.基于水声学方法的天目湖鱼类资源捕捞与放流的生态监测.生态学报,2013,33(23):7553~7562

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