| 胃含物分析样本数量对生态系统指标估计的影响 |
| |
| 引用本文： | 韩东燕,张崇良,薛莹,徐宾铎,任一平,陈勇.胃含物分析样本数量对生态系统指标估计的影响[J].海洋学报(英文版),2020,39(8):53-61. |
| |
| 作者姓名： | 韩东燕 张崇良 薛莹 徐宾铎 任一平 陈勇 |
| |
| 作者单位： | 中国海洋大学 水产学院, 山东 青岛 266003;缅因大学 海洋科学学院, 美国 缅因 04469;中国海洋大学 水产学院, 山东 青岛 266003;青岛海洋科学与技术试点国家实验室 海洋渔业科学与食物产出功能实验室, 山东 青岛 266237;缅因大学 海洋科学学院, 美国 缅因 04469;青岛海洋科学与技术试点国家实验室 海洋渔业科学与食物产出功能实验室, 山东 青岛 266237 |
| |
| 基金项目： | The National Natural Science Foundation of China under contract No. 31772852; the Fundamental Research Funds for the Central Universities under contract No. 201612004. |
| |
| 摘 要： | 本研究应用在胶州湾构建的Ecopath生态系统模型，评估了在模型构建过程中，3种鱼类胃含物分析不同样本数量获得的食性数据对模型输出结果的影响。该模型的生态系统指标被分为3种类别：（1）直接指标，如物种营养级等被胃含物分析样本量直接影响的指标；（2）间接指标，如无脊椎生物生态效率（Ecology efficiency, EE）等受营养关系影响的指标；（3）系统指标，如系统总流量（TST）等用来描述整个生态系统的指标。本研究评估了不同的胃含物分析数量对这些指标的影响。结果表明生态系统模型的系统指标最为稳健，受胃含物分析样本数量的影响最低，而与物种直接相关的指标则在胃含物分析样本量较低时准确度较低。当更多的鱼类胃含物分析数量降低时，生态系统指标的不确定性会增加。本研究有助于理解食性信息的质量如何影响生态系统模型输出，同时可以指导为生态模型构建而进行的胃含物分析实验设计。
|
| 关 键 词： | 计算机模拟 Ecopath with Ecosim 生态系统指标 最佳样本量 胃含物分析 |
| 收稿时间： | 2019/12/12 0:00:00 |
Impacts of sample size for stomach content analysis on the estimation of ecosystem indices |
| |
| Han Dongyan,Zhang Chongliang,Xue Ying,Xu Binduo,Ren Yiping,Chen Yong.Impacts of sample size for stomach content analysis on the estimation of ecosystem indices[J].Acta Oceanologica Sinica,2020,39(8):53-61. |
| |
| Authors: | Han Dongyan Zhang Chongliang Xue Ying Xu Binduo Ren Yiping Chen Yong |
| |
| Institution: | 1.College of Fisheries, Ocean University of China, Qingdao 266003, China2.School of Marine Sciences, University of Maine, Orono, Maine 04469, USA3.Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China |
| |
| Abstract: | This study used Ecopath model of the Jiaozhou Bay as an example to evaluate the effect of stomach sample size of three fish species on the projection of this model. The derived ecosystem indices were classified into three categories: (1) direct indices, like the trophic level of species, influenced by stomach sample size directly; (2) indirect indices, like ecology efficiency (EE) of invertebrates, influenced by the multiple prey-predator relationships; and (3) systemic indices, like total system throughout (TST), describing the status of the whole ecosystem. The influences of different stomach sample sizes on these indices were evaluated. The results suggest that systemic indices of the ecosystem model were robust to stomach sample sizes, whereas specific indices related to species were indicated to be with low accuracy and precision when stomach samples were insufficient. The indices became more uncertain when the stomach sample sizes varied for more species. This study enhances the understanding of how the quality of diet composition data influences ecosystem modeling outputs. The results can also guide the design of stomach content analysis for developing ecosystem models. |
| |
| Keywords: | computer simulation Ecopath with Ecosim ecosystem index optimization sample size stomach contents analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《海洋学报(英文版)》浏览原始摘要信息 |
| 点击此处可从《海洋学报(英文版)》下载免费的PDF全文 |
|
