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Impacts of sample size for stomach content analysis on the estimation of ecosystem indices

  • Dongyan Han
  • , Chongliang Zhang
  • , Ying Xue
  • , Binduo Xu
  • , Yiping Ren
  • , Yong Chen
  • Ocean University of China
  • University of Maine
  • Pilot National Laboratory for Marine Science and Technology

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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.

Original languageEnglish
Pages (from-to)53-61
Number of pages9
JournalActa Oceanologica Sinica
Volume39
Issue number8
DOIs
StatePublished - Aug 1 2020

Keywords

  • computer simulation
  • Ecopath with Ecosim
  • ecosystem index
  • optimization sample size
  • stomach contents analysis

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