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当前位置: 首页 > 文章 > 江苏潮间带大型底栖动物群落组成及次级生产力 生态学杂志 2018 (11) 3357-3363
Position: Home > Articles > Community structure and secondary production of macrobenthos in intertidal zone of Jiangsu Chinese Journal of Ecology 2018 (11) 3357-3363

江苏潮间带大型底栖动物群落组成及次级生产力

作  者：
袁健美;张虎;汤晓鸿;于雯雯;贲成恺;高继先;刘培廷;胡海生;肖悦悦;许海华
关键词：
潮间带;大型底栖动物;群落组成;次级生产力
摘  要：
为研究江苏潮间带大型底栖动物资源变动状况,于2014年5月、8月、10月和2015年3月在江苏潮间带布设9条断面开展了4个航次的调查。结果表明:共采集潮间带大型底栖动物78种,其中环节动物39种,软体动物为23种,甲壳动物12种,其他类群4种;年平均丰度78.64 ind·m-2,年平均生物量13.01 g (AFDM)·m~(-2),年平均次级生产力和P/B值分别为8.57 g (AFDM)·m~(-2)·a~(-1)和0.66;与20世纪80年代江苏滩涂调查和"908"专项调查相比,江苏潮间带大型底栖动物主要类群未发生变化,均以环节动物、软体动物和甲壳动物为主,种类数量有所下降;江苏潮间带大型底栖动物平均次级生产力中潮区与高、低潮区间差异显著(P <0.05),季节间无显著差异(P> 0.05)。
译  名：
Community structure and secondary production of macrobenthos in intertidal zone of Jiangsu
作  者：
YUAN Jian-mei;ZHANG Hu;TANG Xiao-hong;YU Wen-wen;BEN Cheng-kai;GAO Ji-xian;LIU Pei-ting;HU Hai-sheng;XIAO Yue-yue;XU hai-hua;Jiangsu Marine Fisheries Research Institute;Nantong Marine Environmental Monitoring Center of the State Oceanic Administration;
关键词：
intertidal zone;;macrobenthos;;community composition;;secondary productivity
摘  要：
To understand the status of macrobenthos in intertidal zone of Jiangsu Province,nine sections of intertidal zone in Jiangsu were deployed for macrobenthos sampling in May,August,October,2014 and March,2015. In total,78 species of macrobenthos were identified,including39 species of Annelida,23 species of Mollusca,12 species of Crustacea and four species of other animals. The mean density was 78.64 ind·m~(-2),and annual mean biomass( ash-free) was 13.01 g·m~(-2). The mean secondary productivity of macrobenthos was 8.57 g·m~(-2)·a~(-1) and P/B ratio was 0.66. Compared with the survey in the 1980 s and of the "908"special project,the main groups of macrobenthos in intertidal zone of Jiangsu did not change, but species richness decreased. The difference in secondary productivity between the middle tidal zone,the high and low tide zones was significant( P < 0.05) but there was no significant difference among seasons( P>0.05).

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