Assessment of aquatic food web and trophic niche as a measurement of recovery function in restored mangroves in the Southern Gulf of Mexico

PeerJ. 2023 Jun 6:11:e15422. doi: 10.7717/peerj.15422. eCollection 2023.

Abstract

Mangroves are coastal wetlands with high biodiversity and productivity, with great interaction with coastal environments. In the face of worldwide mangrove loss, restoration projects attempt to recover ecosystem composition and functioning over time. Our objective was to examine and compare the food webs in mangrove areas with different restoration times and in a reference mangrove in Términos Lagoon, Mexico. We estimated the trophic structure, identified the carbon resources that maintain aquatic consumers through the analysis of stable isotopes, and compared the trophic niche of the restored mangroves with the reference mangrove. We analyzed environmental variables, trophic structure, and contributions of resources during three seasons: rainy, dry, and "nortes". Environmental changes and food structure changed in response to regional seasons. Bayesian mixing models indicated that food webs varied seasonally as a response to the primary productivity developed at Términos Lagoon. As expected, the assimilation of C3 plants in the reference mangrove was highest, as a primary ("nortes" season) and secondary resource (dry and rainy seasons). The restored mangroves depended mainly on allochthonous resources (seagrass, epiphytes, and phytoplankton). The assimilation of these resources highlighted the importance of connectivity and the input of sources of carbon from nearby coastal environments. Trophic niche analysis showed that the area with longer restoration time was more similar to the reference mangrove, which is evidence of the importance and efficacy of the restoration process, as well as the restoration of the ecosystem function over time.

Keywords: Fish; Gulf of Mexico; Macroinvertebrates; Mixing models; Restoration; Seasonal; Stable isotopes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Carbon
  • Ecosystem*
  • Food Chain*
  • Gulf of Mexico

Substances

  • Carbon

Grants and funding

This research was supported by ATEC Asesoría Técnica y Estudios Costeros SCP. CONACYT granted a postdoctoral fellowship to Miriam Soria-Barreto. Universidad Autónoma del Carmen supported the translation of the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.