| 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 |
| 胃含物分析样本数量对生态系统指标估计的影响 |
| Impacts of sample size for stomach content analysis on the estimation of ecosystem indices |
| 投稿时间：2019-12-12 |
| DOI：10.1007/s13131-020-1633-x |
| 中文关键词: 计算机模拟 Ecopath with Ecosim 生态系统指标 最佳样本量 胃含物分析 |
| 英文关键词:computer simulation Ecopath with Ecosim ecosystem index optimization sample size stomach contents analysis |
| 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. |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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