Using Bayesian multispecies models to evaluate fish and invertebrate detection probability and distribution in the hypersaline Bahia Grande tidal basin

Author:

Ulibarri Roy M.1,Eckert Catherine2,Hicks David3,Montagne Mike14,Jones Brandon5,Stewart David R.6ORCID

Affiliation:

1. U.S. Fish and Wildlife Service, Texas Fish and Wildlife Conservation Office Houston Texas USA

2. Texas Parks and Wildlife Department, Coastal Fisheries Division Corpus Christi Texas USA

3. School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley Brownsville Texas USA

4. U.S. Fish and Wildlife Service, Texas Fish and Wildlife Conservation Office San Marcos Texas USA

5. U.S. Fish and Wildlife Service, Laguna Atascosa National Wildlife Refuge Los Fresnos Texas USA

6. U.S. Fish and Wildlife Service, National Wildlife Refuge System Albuquerque New Mexico USA

Abstract

AbstractObjectiveIn 2000, the Laguna Atascosa National Wildlife Refuge acquired the Bahia Grande (Texas) management unit, a space that had lain barren and arid for 70 years. A large cooperative partnership launched a restoration project to replenish the basin and recover its original tidal hydrology. In 2005, the construction of a pilot channel successfully restored water throughout the basin, and plans to eventually widen the channel were developed. Our study aims to evaluate an estuarine habitat restoration by assessing ecological drivers and the impacts on species diversity.MethodsWe evaluated species richness, detection/occupancy rates, and species–habitat relationships, and we estimated the sampling effort required to achieve a given level of relative precision if relative abundance was used instead of occupancy to inform future sampling. Sampling gear included bag seines for juvenile life stages and gill nets for capturing subadult and adult life stages. For analysis, we used a Bayesian negative binomial linear mixed‐effects model to evaluate richness–habitat relationships and a hierarchical Bayesian multispecies model to evaluate individual species–habitat relationships, and we calculated the total number of fish captured and relative standard error by gear and sample year to produce a precise estimate of relative abundance.ResultOverall, 29 species were caught between 2018 and 2021. Salinity emerged as a clear driver in the Bahia Grande, as both species richness and individual‐level responses were negatively associated with high salinity values. We found that catch estimated as relative abundance had much variability, as is typical of most survey programs assuming constant detectability, and the number of net sets or seine hauls required to achieve a given level of relative precision varied considerably depending on the species, season, year, and gear type. The most collected species were found in the upper extremes of their salinity tolerances—potentially a unique adaptation to this hypersaline system.ConclusionBaseline data suggest that for the channel widening to be successful, there must be a noticeable increase in suitable habitat characteristics throughout the basin.

Funder

U.S. Fish and Wildlife Service

Publisher

Wiley

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