Foraging segregation between spotted (Stenella attenuata) and spinner (Stenella longirostris) dolphins in the Mexican South Pacific

Arturo Bell Enríquez-García, Francisco Villegas-Zurita, Arturo Tripp-Valdez, Xchel G. Moreno-Sánchez, Felipe Galván-Magaña, Fernando R. Elorriaga-Verplancken

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Coexistence among sympatric species requires a certain degree of resource partitioning. In the Mexican South Pacific, information regarding the coexistence of Stenella attenuata (SA) and Stenella longirostris (SL) is lacking. Stable isotope analyses (δ15N and δ13C) were conducted to assess the differences in feeding habits to infer trophic position and amplitude as well as habitat use, based on Bayesian inference and a random forest (RF) classifier. Potential trophic relationships with other species were assessed by Bayesian mixing models. Feeding segregation between species was mainly based on carbon sources (δ13C: p(SA > SL) = 100%, RF Gini Impurity = 80%). Moreover, SA (n = 22) presented a broader isotopic niche than that of SL (n = 25; SIBER Bayesian Standard Ellipse areas = 0.91‰2 vs. 0.77‰2) with a 33% overlap, suggesting that SA uses more coastal habitats than SL. The most relevant prey species were the mesopelagic fish Benthosema panamense and the epipelagic fish Hyporhamphus naos (~50%), although B. panamense was more related to SL than SA: p(%SL > %SA) = 76.6%. The trophic positions were 4.0 (SA) and 3.8 (SL). Our results provide evidence of resource partitioning within a potential foraging ground for both dolphin species.

Original languageEnglish
Pages (from-to)1070-1087
Number of pages18
JournalMarine Mammal Science
Volume38
Issue number3
DOIs
StatePublished - Jul 2022
Externally publishedYes

Keywords

  • Bayesian inference
  • Mexican South Pacific
  • dolphin
  • foraging ground
  • machine learning
  • niche partitioning
  • prey
  • trophic ecology

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