Delineation of marsh types of the Texas coast from Corpus Christi Bay to the Sabine River in 2010

Enwright, Nicholas M.; Hartley, Stephen B.; Brasher, Michael G.; Visser, Jenneke M.; Mitchell, M.; Ballard, Bart M.; Parr, Mark W.; Couvillion, Brady R.; Wilson, Barry C.

doi:10.3133/sir20145110

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…We assigned habitat type based on the habitat (i.e., marsh, mangroves, oyster reefs, SAV, or open-water NVB) reported by the author. We assigned vegetation type (i.e., saline, brackish, intermediate, fresh) based on the vegetation community at the site as reported by the author(s), following the classification scheme outlined in Visser et al (1998Visser et al ( , 2000Visser et al ( , 2002, Sasser et al (2014), and Enwright et al (2014). If the vegetation community was not reported, we cross-referenced the project location with available vegetation maps, including the vegetation layers displayed in the Coastwide Reference Monitoring System online viewer (http://lacoast.gov/crms2/home.aspx) and state-specific maps for Louisiana (Sasser et al 2014) and Texas (Enwright et al 2014).…”

Section: Data Extraction Compilation and Qc Methodsmentioning

confidence: 99%

“…We assigned vegetation type (i.e., saline, brackish, intermediate, fresh) based on the vegetation community at the site as reported by the author(s), following the classification scheme outlined in Visser et al (1998Visser et al ( , 2000Visser et al ( , 2002, Sasser et al (2014), and Enwright et al (2014). If the vegetation community was not reported, we cross-referenced the project location with available vegetation maps, including the vegetation layers displayed in the Coastwide Reference Monitoring System online viewer (http://lacoast.gov/crms2/home.aspx) and state-specific maps for Louisiana (Sasser et al 2014) and Texas (Enwright et al 2014). We used the marsh vegetation type as a proxy for salinity because it represents average environmental conditions over time rather than a single salinity measurement at a location, which may vary greatly over different temporal scales (Rozas and Minello 2010;Mace III and Rozas 2017).…”

Section: Data Extraction Compilation and Qc Methodsmentioning

confidence: 99%

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Meta-analysis of Nekton Utilization of Coastal Habitats in the Northern Gulf of Mexico

Hollweg

Christman

Cebrián

et al. 2019

Estuaries and Coasts

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Estuaries in the northern Gulf of Mexico (GOM) provide habitat for many ecologically, commercially, and recreationally important fish and crustacean species (i.e., nekton), but patterns of nekton abundance and community assemblages across habitat types, salinity zones, and seasons have not been described region-wide. Recognizing the wealth of information collected from previous and ongoing field sampling efforts, we developed a meta-analytical approach to aggregate nekton density data from separate studies (using different gear types) that can be used to answer key research questions. We then applied this meta-analytical approach to separate nekton datasets from studies conducted in the Gulf of Mexico to summarize patterns in nekton density across and within several estuarine habitat types, including marsh, oyster reefs, submerged aquatic vegetation (SAV), and open-water non-vegetated bottom (NVB). The results of the meta-analysis highlighted several important patterns of nekton use associated with these habitat types. Nekton densities were higher in structured estuarine habitats (i.e., marsh, oyster reefs, SAV) than in open-water NVB habitat. Marsh and SAV community assemblages were relatively similar to each other, but different from those associated with open-water NVB and oyster habitats. Densities of commercially and recreationally important crustacean and fish species were highest in saline marshes, thus demonstrating the importance of this habitat in the northern GOM. The results of our meta-analysis are generally consistent with previous site-specific studies in the region (many of which were included in the meta-analysis) and provide further evidence for these patterns at a regional scale. This meta-analytical approach is easy to implement for diverse research and management purposes, and provides the opportunity to advance understanding of the value and role of coastal habitats to nekton communities.

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Section: Data Extraction Compilation and Qc Methodsmentioning

confidence: 99%

Section: Data Extraction Compilation and Qc Methodsmentioning

confidence: 99%

Meta-analysis of Nekton Utilization of Coastal Habitats in the Northern Gulf of Mexico

Hollweg

Christman

Cebrián

et al. 2019

Estuaries and Coasts

View full text Add to dashboard Cite

show abstract

“…If the sampling site was located in open water away from the marsh shoreline, we classified the habitat as either non-vegetated bottom (NVB) or submerged aquatic vegetation (SAV) depending on site conditions. We assigned a salinity zone (i.e., saline, brackish, intermediate, or fresh) based on the vegetation community at the site, following the classification scheme outlined in Visser et al (1998Visser et al ( , 2000Visser et al ( , 2002, Sasser et al (2014), and Enwright et al (2014). We used the vegetation community as a proxy for salinity zone because it represents average environmental conditions over time rather than a single salinity measurement at a location, which may vary greatly over different temporal scales (Rozas and Minello 2010;Mace and Rozas 2017).…”

Section: Nekton Density Compilationmentioning

confidence: 99%

Meta-analysis of Nekton Recovery Following Marsh Restoration in the Northern Gulf of Mexico

Hollweg

Christman

Lipton

et al. 2019

Estuaries and Coasts

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To investigate regional patterns in marsh recovery following restoration, a meta-analysis of nekton densities at restored and reference marshes in the northern Gulf of Mexico (GOM) was conducted. Results were variable at both restored and reference sites, but general trends with respect to the age of the restored site were observed. Pooled together, mean total nekton density in restored marshes during the first 5 years following restoration was approximately 50% of reference marsh densities [95% confidence interval (CI): 26.6-93.0%]. Mean total nekton density in restored marshes in subsequent years (age of restored sites: 6 to 30 years) was approximately 73% of reference marsh densities (95% CI: 46.1-116.1%). Relative densities of crustaceans in restored marshes tended to be lower than in reference marshes during both the initial 5 years following restoration (mean = 36%; 95% CI: 16.6-76.7%) and in subsequent years (mean = 71%; 95% CI: 42.7-119.2%). Mean densities of fish species also tended to be somewhat lower in restored marshes than in reference marshes, but relative densities were highly variable during both the initial 5-year period (mean = 85%; 95% CI: 33.5-215.3%) and in subsequent years (mean = 77%; 95% CI: 39.3-152.7%). A generally increasing trend in total nekton and total crustacean densities was observed over the first 15 years following restoration; mean densities at restored sites were comparable to paired reference locations by approximately year 13. Findings from this study indicate that marsh restoration may not consistently result in nekton production similar to that of natural sites, particularly in the earlier years following restoration when baseline ecosystem processes are developing.

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Defining Aquatic Habitat Zones Across Northern Gulf of Mexico Estuarine Gradients Through Submerged Aquatic Vegetation Species Assemblage and Biomass Data

DeMarco

Hillmann

Nyman

et al. 2021

Estuaries and Coasts

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Delineation of marsh types of the Texas coast from Corpus Christi Bay to the Sabine River in 2010

Abstract: landscape change and serve as a baseline for monitoring future changes resulting from chronic and episodic stressors.

Cited by 4 publications

References 12 publications

Meta-analysis of Nekton Utilization of Coastal Habitats in the Northern Gulf of Mexico

Meta-analysis of Nekton Utilization of Coastal Habitats in the Northern Gulf of Mexico

Meta-analysis of Nekton Recovery Following Marsh Restoration in the Northern Gulf of Mexico

Defining Aquatic Habitat Zones Across Northern Gulf of Mexico Estuarine Gradients Through Submerged Aquatic Vegetation Species Assemblage and Biomass Data

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