Sampling sufficiency in stomach content surveys of omnivorous fish species

ABSTRACT Feeding research in fish has offered understanding into the ecology of individuals, populations, and ecosystems. In these studies, analyzing enough stomachs is crucial to determine a species’ diet. This research evaluates the number of stomachs needed to characterize the diet of omnivorous fish species by employing cumulative prey curves, non-parametric estimators, and rarefaction/extrapolation curves. The Feeding Index was calculated by utilizing a wide taxonomic classification of food items to determine the number of individuals needed to characterize trophic groups. The stomach contents of three species: Megaleporinus garmani (n = 174), Trachelyopterus galeatus (n = 99), and Wertheimeria maculata (n = 68) was analyzed. The cumulative prey curves fail to reach an asymptote for any species. In comparison to richness estimators, the observed diversity of prey varied between 73 and 91% across different species. The extrapolation curves approach an asymptote in the case of T. galeatus and W. maculata, reinforcing the declining counts of food item singletons and doubletons noted in their dietary accumulation curves. According to the Feeding Index, analyzing 30 to 60 stomachs is adequate to determine the primary dietary components. A reduced number of stomachs (25 to 35) is needed to identify feeding guilds. Due to the wider diets of omnivorous species, a larger sample is required to properly characterize their diet. Elements like research goals, required detail level, seasonal variations, and species-specific characteristics should be taken into account when determining the number of stomachs to analyze, to guarantee strong and dependable outcomes.

Authors

Institutions

Publication Details

Journal
Zoologia (Curitiba)
Published
2025-01-01
DOI
https://doi.org/10.1590/s1984-4689.v42.e24063
Primary Topic
Fish Biology and Ecology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sampling sufficiency in stomach content surveys of omnivorous fish species

Paulo dos Santos Pompeu, Patrícia Santos Fráguas
Zoologia (Curitiba)
Fish Biology and Ecology Studies
article

Sampling sufficiency in stomach content surveys of omnivorous fish species

Paulo dos Santos Pompeu, Patrícia Santos Fráguas
article en

Abstract

ABSTRACT Feeding research in fish has offered understanding into the ecology of individuals, populations, and ecosystems. In these studies, analyzing enough stomachs is crucial to determine a species’ diet. This research evaluates the number of stomachs needed to characterize the diet of omnivorous fish species by employing cumulative prey curves, non-parametric estimators, and rarefaction/extrapolation curves. The Feeding Index was calculated by utilizing a wide taxonomic classification of food items to determine the number of individuals needed to characterize trophic groups. The stomach contents of three species: Megaleporinus garmani (n = 174), Trachelyopterus galeatus (n = 99), and Wertheimeria maculata (n = 68) was analyzed. The cumulative prey curves fail to reach an asymptote for any species. In comparison to richness estimators, the observed diversity of prey varied between 73 and 91% across different species. The extrapolation curves approach an asymptote in the case of T. galeatus and W. maculata, reinforcing the declining counts of food item singletons and doubletons noted in their dietary accumulation curves. According to the Feeding Index, analyzing 30 to 60 stomachs is adequate to determine the primary dietary components. A reduced number of stomachs (25 to 35) is needed to identify feeding guilds. Due to the wider diets of omnivorous species, a larger sample is required to properly characterize their diet. Elements like research goals, required detail level, seasonal variations, and species-specific characteristics should be taken into account when determining the number of stomachs to analyze, to guarantee strong and dependable outcomes.

Zoologia (Curitiba)Vol. 42
Universidade Federal de Lavras (BR)
Openalex Percentile: Top 75%
Fish Biology and Ecology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.