Abstract
PDF HTML阅读 XML下载 导出引用 引用提醒 利用非参数方法估计山东半岛南部海域秋季游泳生物群落物种丰富度 DOI: 作者: 作者单位: 1. 中国海洋大学水产学院, 山东 青岛 266003;2. 青岛海洋科学与技术国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266000 作者简介: 牟秀霞(1994-),女,硕士研究生,从事渔业资源研究.E-mail:907439453@qq.com 通讯作者: 中图分类号: S931 基金项目: 中央高校基本科研业务费专项资金项目(201612002,201512002). Non-parametric method for estimating the species richness of a nekton community during fall in the southern waters of Shandong Peninsula Author: Affiliation: 1. College of Fisheries, Ocean University of China, Qingdao 266003, China;2. Laboratory for Marine Fisheries and Aquaculture, Qingdao National Laboratory for Marine, Qingdao 266235, China Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:为减少渔业资源物种丰富度观测的偏差,以山东半岛南部海域为例,根据2016年10月对该海域进行的底拖网调查数据,运用Chao、一阶刀切(Jackknife1)、二阶刀切(Jackknife2)和自助法(Bootstrap)4种非参数方法估算了该海域鱼类群落物种丰富度,并探讨了影响非参数方法估算的因素及非参数方法的应用。结果表明,4种非参数方法估算鱼类群落物种数目呈现出Jackknife2 > Chao > Jackknife1 > Bootstrap,依次为265种、248种、235种、206种;不同估算方法的标准差范围有较大差别,Chao最大,Jackknife居中,Bootstrap最小。通过MDS多维标度排序将该海域划分两个群落,两群落物种数有显著差异,群落Ⅰ物种数目估计值为250种、238种、219种、191种,群落Ⅱ物种数目为86种、100种,4种非参数估算方法在不同群落表现基本一致。综合比较不同群落的物种估算结果,认为采样强度是影响4种非参数估计方法表现优劣的主要因素,采样充足是使用非参数估计方法的前提。本研究为不同采样努力量下物种丰富度的比较提供了方法参考和比较标准。 Abstract:Species richness is the most fundamental concept of diversity. The observed number of species in surveys are commonly used to represent the species richness in marine areas, however, this approach may lead to certain underestimations due to observational errors. This study used the marine fish community in Southern Shandong Peninsula as an example to test methods for reducing errors in species richness estimation. Non-parametric methods, Chao, Jackknife1, Jackknife2 and Bootstrap, were used to estimate the number of species in the waters of Southern Shandong Peninsula, based on bottom-trawl survey data collected in October 2016. In addition, we examined the factors that can influence the performance of non-parametric methods. The results show that the number of species in the community, estimated by four non-parametric methods, showed remarkable variations:265, 248, 235 and 206 for Jackknife2, Chao, Jackknife1 and Bootstrap, respectively. In addition, the four methods also showed differences in standard deviation, and the standard deviation was the largest in Chao, followed by Jackknife, and was lowest in Bootstrap. The results of MDS showed that fish assemblages could be divided into two communities and the number of species have large differences. The estimated values in community I were 250, 238, 219 and 191; the number of species estimated in community Ⅱ were 86 and 100. Comparative studies show that the sampling intensity and number of species affect the estimation of non-parametric methods. This study provides a method reference and comparison criterion for the comparison of species richness with different sampling efforts. 参考文献 相似文献 引证文献
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