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山东半岛南部海湾底栖动物群落生态特征及其与水环境的关系
引用本文:张莹,吕振波,徐宗法,刘义豪,靳洋.山东半岛南部海湾底栖动物群落生态特征及其与水环境的关系[J].生态学报,2011,31(15):4455-4467.
作者姓名:张莹  吕振波  徐宗法  刘义豪  靳洋
作者单位:1. 山东省海洋水产研究所,渔业资源与生态技术研究中心,烟台,264006;山东省海洋生态修复重点实验室,烟台,264006
2. 山东省海洋水产研究所,渔业资源与生态技术研究中心,烟台,264006
基金项目:上海市重点学科项目(Y1101); 新疆福海县人民政府资助项目
摘    要:2006-2007年对山东半岛南部4个海湾(荣成湾、桑沟湾、靖海湾和五垒岛湾)19个站位的底栖动物群落结构特征进行了研究,并对14个环境因素和底栖动物群落生态特征分别进行主成分分析和Spearman相关分析。结果显示,荣成湾、桑沟湾和靖海湾的底栖动物种类中,多毛类所占比例最高,而五垒岛湾仅秋、冬季多毛类所占比例最高。根据聚类分析和非度量多维标度方法分析,4季底栖动物群落均可分为2个群落,春、冬季的第一聚群为靖海湾和五垒岛湾,第二聚群为荣成湾和桑沟湾。秋季荣成湾、桑沟湾、靖海湾组成第一聚群,第二聚群由五垒岛湾构成。夏季,底栖动物Shannon-Wiener多样性指数(H')与采样深度和总碱度呈显著正相关,与水温呈极显著的负相关关系。秋季,与硝酸盐呈负相关关系,说明富营养化对山东半岛南部4个海湾大型底栖动物群落产生了一定负面影响。ABC曲线法分析显示,荣成湾和桑沟湾底栖动物的丰度优势度曲线与生物量优势度曲线相交,表明荣成湾和桑沟湾大型底栖动物群落处于中度干扰状态,密集的养殖活动可能对其生态系统带来了巨大影响,加强海水养殖管理,强化生态健康养殖理念,合理利用海洋生物资源,对大型底栖动物群落的稳定性具有重要意义。

关 键 词:荣成湾  桑沟湾  靖海湾  五垒岛湾  聚类分析  非度量多维标度方法  Shannon-Wiener多样性指数  ABC曲线
收稿时间:2010/11/28 0:00:00
修稿时间:2011/5/30 0:00:00

Ecological characteristics of macrobenthic communities and their relation to water environmental factors in four bays of southern Shandong Peninsula
ZHANG Ying,LV Zhenbo,XU Zongf,LIU Yihao and JIN Yang.Ecological characteristics of macrobenthic communities and their relation to water environmental factors in four bays of southern Shandong Peninsula[J].Acta Ecologica Sinica,2011,31(15):4455-4467.
Authors:ZHANG Ying  LV Zhenbo  XU Zongf  LIU Yihao and JIN Yang
Institution:Research Center of Fishery Resources and Ecology, Shandong Marine Fisheries Research Institute, Yantai 264006, China; Shandong Key Laboratory of Marine Ecological Restoration, Yantai 264006, China;Research Center of Fishery Resources and Ecology, Shandong Marine Fisheries Research Institute, Yantai 264006, China; Shandong Key Laboratory of Marine Ecological Restoration, Yantai 264006, China;Research Center of Fishery Resources and Ecology, Shandong Marine Fisheries Research Institute, Yantai 264006, China;Research Center of Fishery Resources and Ecology, Shandong Marine Fisheries Research Institute, Yantai 264006, China;Research Center of Fishery Resources and Ecology, Shandong Marine Fisheries Research Institute, Yantai 264006, China
Abstract:The benthos in four bays (Rongcheng Bay, Sanggou Bay, Jinghai Bay and Wuleidao Bay) at 19 sampling locations were investigated by taxonomy and subjected to calculate the species constitutions, components of dominant species, and spatial distribution, biodiversity pattern and stability of macrobenthic community structure ranging from 2006 to 2007. A total of 14 water environmental variables from 19 sampling locations in four bays were analyzed by factor analysis, and spearman correlations of main water environmental variables and parameters of benthos community were also investigated. The results showed that the dominant benthos species was Chaetopoda in Rongcheng Bay, Sanggou Bay and Wuleidao Bay. In autumn and winter the highest proportion is Chaetopoda, while in spring and summer Crustacea and Mollusca accounted for the highest ratio in Wuleidao Bay. The hierarchical clustering, un-weighted pair group method with arithmetic mean (UPGMA), and non-metric multidimensional scaling (NMDS) approaches were used to analyze the pattern of community compositions. There existed two macrobenthos assemblages in the survey bays. In spring and winter, the sampling stations of Jinghai Bay and Wuleidao Bay were clustered, and then the sampling stations of Rongcheng Bay and Sanggou Bay formed an independent cluster. In autumn, two groups were constituted in the survey bays. The group I contained the sampling stations of Rongcheng Bay, Sanggou Bay and Wuleidao Bay, the sampling stations of Wuleidao Bay constituted the group II. Both in Rongcheng Bay and Sanggou Bay the macrobenthic Shannon-Wiener indices were higher. The averages Shannon-Wiener index was lowest in Wuleidao Bay in spring, summer and autumn, and in Jinghai Bay in winter. The Spearman correlation analysis between main environmental variables and parameters of benthos community demonstrated that sampling depth and total alkalinity was significantly positively correlated with Shannon-Wiener indices, and significantly negative correlation was established between water temperature and Shannon-Wiener indices in summer. In autumn, Shannon-Wiener indices were negatively correlated with nitrate. The abundance biomass comparison (ABC) calves and W-statistic were used to analyze the disturbed states. In undisturbed states, the community was supposed to be dominated by k-selected species (slow-growing, large, late maturing), the biomass curve lied above the abundance curve, the W-statistic value was positive. With increasing disturbance, the system was increasingly dominated by r-selected species (fast-growing, small, opportunistic), the biomass curve would lie below the abundance curve, and the W-statistic value was negative. The ABC curve and W-statistic value were generated by PRIMER software (Plymouth Routines in Multivariate Ecological Research). It was found that the abundance curves were above the biomass curve and the W-statistic in Rongcheng Bay was below zero also in spring and winter, which indicated that the present macrobenthic communities were heavily disturbed. All the results demonstrated that benthic communities structure were correlated with sampling depth, total alkalinity and water temperature in the summer, and with nitrate and water temperature in the autumn. There existed significant difference in the habitat water environment factors between Wuleidao Bay and the other three bays, contributing to the difference in benthic community structure between Wuleidao Bay and the other three bays. Eutrophication in Wuleidao Bay had some negative impact on benthic communities. The macrobenthic communities in Rongcheng Bay and Sanggou Bay were interfered perhaps due to the tremendous impact of intensive aquaculture activities on marine ecosystems. It is important to protect the macrobenthic communities by enhancing management of marine aquaculture, strengthening the concept of ecological health of aquaculture, and rational exploration of marine biological resources.
Keywords:Rongcheng Bay  Sanggou Bay  Wuleidao Bay  Jinghai Bay  cluster analysis  non-metric multidimensional scaling  Shannon-Wiener index  ABC curves
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