Louisiana Barrier Island Comprehensive Monitoring Program: Mapping habitats in beach, dune, and intertidal environments along the Louisiana Gulf of Mexico shoreline, 2008 and 2015–16

Enwright, Nicholas M.; SooHoo, William M.; Dugas, Jason L.; Conzelmann, Craig; Laurenzano, Claudia; Lee, Darin M.; Mouton, Kelly; Stelly, Spencer J.

doi:10.3133/ofr20201030

Cited by 10 publications

(14 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The change analysis techniques applied in this study, especially change component analysis, could be applied to historical and contemporary monitoring efforts using satellite imagery (Zinnert et al 2016) or orthophotography (Enwright et al 2019b(Enwright et al , 2020b. The habitat change assessment highlighted in this study complements existing techniques like traditional shoreline analysis such as the assessment conducted on Dauphin Island by Smith et al (2018).…”

Section: Discussionmentioning

confidence: 99%

“…Scientists have used geospatial analyses to study barrier island habitat dynamics for many different purposes, including analyzing long-term historical land area change (Morton 2008), response to extreme storms (Morton 2008;Lucas and Carter 2013;Campbell et al 2017;Carter et al 2018;Enwright et al 2020b), baseline habitat mapping (Brownett and Mills 2017;Enwright et al 2019b), monitoring habitat succession (Zinnert et al 2016;Anderson et al 2016;Enwright et al 2020b), gauging restoration efficacy (Campbell et al 2017;Enwright et al 2020b), and forecasting habitat evolution (Enwright et al 2020a). A common thread throughout these studies is the need to understand how habitats on barrier island systems are evolving over time.…”

Section: Introductionmentioning

confidence: 99%

“…Of the studies that analyze barrier island habitat evolution, all the efforts explored habitat differences by documenting areal coverage of habitats over time. A few studies extended the analysis to depict spatial distribution variability (i.e., developing maps of habitat change between two periods; Campbell et al 2017;Enwright et al 2020b), and some used transition matrices to illustrate conversion between habitat types (Lucas and Carter 2013;Anderson et al 2016;Campbell et al 2017). However, some aspects of the dynamic nature of barrier island habitats may be missed if change analyses do not explore both difference in total areal coverage and the allocation differences.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing Habitat Change and Migration of Barrier Islands

Enwright

Wang

Dalyander

et al. 2021

Estuaries and Coasts

Self Cite

View full text Add to dashboard Cite

Barrier islands are dynamic environments that experience gradual change from waves, tides, and currents, and rapid change from extreme storms. These islands are expected to change drastically over the coming century due to accelerated sea-level rise and changes in frequency and intensity of storm events. The dynamic nature of barrier islands coupled with the importance of these environments make it critical for natural resource managers to understand how habitats on barrier islands are changing or may change over time to determine when and where management actions may be needed. In this study, we applied a habitat change assessment framework, which included exploring areal coverage and distribution changes and change component analysis. Change component analysis, which breaks differences into net gain/loss and allocation difference (i.e., habitat oscillation), has not previously been used to study barrier island habitat evolution. Here, we demonstrate the approach using habitat predictions from a geomorphic modeling effort on Dauphin Island, Alabama (USA). We explored differences of habitat predictions for potential island configurations with and without a beach and dune restoration action under future conditions related to sea level and storminess. We found a potential linkage between landward migration of barrier islands and exchange, an output of change component analysis. The hypothesis may be tested to explore whether this linkage applies over space and time and whether the approach is applicable to monitoring landward migration of coastal wetlands. Collectively, our results highlight the utility of change component analysis for monitoring and quantifying barrier island habitat change and migration.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessing Habitat Change and Migration of Barrier Islands

Enwright

Wang

Dalyander

et al. 2021

Estuaries and Coasts

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although methods have been developed to map benthic habitats (e.g., https://data.gov. uk/dataset/1707e638-6a2d-48f5-a534-1db0b240cc37/casi-andlidar-habitat-map) and coastal land cover (e.g., Enwright et al, 2020), datasets are insufficiently available as is evident from the fact that review papers have had to focus on local case studies (e.g., de Jonge, 2000;Whitfield et al, 2012;Telesh et al, 2013;Dashtgard and Croix, 2015) and stress the need for combined terrestrial-aquatic ecosystem studies with remote sensing techniques (Soininen et al, 2015). We only found two studies for the Netherlands that extend to areas with multiple systems (Baptist et al, 2019) and cover complete systems (Ysebaert et al, 2003).…”

Section: Problem Definitionmentioning

confidence: 99%

Salt Marsh and Tidal Flat Area Distributions Along Three Estuaries

et al. 2021

View full text Add to dashboard Cite

Estuarine landscapes form through interactions between fluvio-coastal processes and ecological processes within the boundaries imposed by hard substrate layers and man-made dikes and dams. As estuaries are ecologically valuable areas, monitoring and quantification of trends in habitats is needed for objective comparison and management. However, datasets of tidal flat and saltmarsh habitats along entire estuaries are scarce. The objective was to compare trends of biogeomorphological areas and habitat transitions along three estuaries in the Netherlands and assess whether these are generally comparable or mainly determined by system-specific histories. We present data for these estuaries obtained by automated classification of false-color aerial imagery. The automated method allows objective mapping of entire estuaries at unprecedented resolution. The estuaries are dominated by subtidal areas and tidal flats. The tidal flats have similar area along the estuaries while saltmarsh area decreases. Collective lengths of ecologically important transitions between saltmarsh, low-energy tidal flats and water differ more between the estuaries. These variations are due to presence of mid-channel bars and shore-connected embayments. Saltmarsh area is mainly determined by the different formation and embankment histories of the estuaries, embayments and side-branches. Much of the past saltmarsh flanking the estuaries was lost due to past land reclamation. In one system, ecologically important low-energy tidal flats are reduced by a sudden decrease of tidal amplitude, causing increase of subtidal area at the cost of intertidal area. Large areas of high-energy tidal flats in one estuary remain unexplained. The automated method can be applied in other estuaries, provided that high-quality areal imagery is available. Extensions of the data to other estuaries would allow for system-scale trend comparison between estuaries of ecologically relevant biogeomorphological characteristics.

show abstract

“…At the same time, more than 40% of coastal habitats are considered vulnerable or endangered as listed in the European Red List of Habitats (Delbosc et al, 2021;Janssen et al, 2016). It is therefore urgent to plan and start specific activities and related actions to define a strategy of sustainable management, surveillance and monitoring of sand beach ecosystems (Attorre et al, 2013;Enwright et al, 2020;Malavasi et al, 2021;Sperandii et al, 2018Sperandii et al, , 2020, in order to preserve their structure, functions, and their ecosystem services.…”

Section: Introductionmentioning

confidence: 99%

Modeling approach for coastal dune habitat detection on coastal ecosystems combining very high‐resolution UAV imagery and field survey

Agrillo

Filipponi

Salvati³

et al. 2023

Remote Sens Ecol Conserv

View full text Add to dashboard Cite

Earth observation (EO) data, derived from remote sensing and unmanned aerial vehicle (UAV), have been recently demonstrated to be essential tools for the ecosystem monitoring and habitat mapping, combining high technological and methodological procedures for applied ecology. However, research based on EO data analyses often tend to focus on image processing techniques, neglecting the development of a detailed sampling design scheme needed for an exhaustive habitat detection. This paper shows the results of a novel approach for mapping coastal dune habitats at a fine scale, using a supervised machine learning model, through the combination of vegetation plot sampling scheme, synergic use of multi-sensor spectral imagery (UAV-VHR) and environmental predictors (e.g., LiDAR), object-based image analysis, and landscape metrics analysis. Proposed approach was tested in a protected area, established to preserve notable habitats along the Italian Tyrrhenian coast. A detailed sampling scheme was designed and carried out during spring and summer of 2019, combining simultaneously UAV flight acquisition and field vegetation survey data, collected at high precision positioning. The calibrated classification model achieved an overall accuracy of 78.6% (standard error 4.33), allowing us to accurately classify and map five coastal habitats, according to EUNIS (European Nature Information System) classification, which were further verified through a fully independent validation field survey. Results demonstrate that VHR imageries, combined with specific field survey schemes, can be exploited to train classification models used for the detection of plant communities (i.e., meso-habitat) and plant species at local scale. Our findings demonstrate that UAV-VHR data is a valid tool to produce high spatial resolution information in sand beach ecosystems, giving ecology research a new way for responsive, timely, and cost-effective ecosystem monitoring.

show abstract

Louisiana Barrier Island Comprehensive Monitoring Program: Mapping habitats in beach, dune, and intertidal environments along the Louisiana Gulf of Mexico shoreline, 2008 and 2015–16

Cited by 10 publications

References 20 publications

Assessing Habitat Change and Migration of Barrier Islands

Assessing Habitat Change and Migration of Barrier Islands

Salt Marsh and Tidal Flat Area Distributions Along Three Estuaries

Modeling approach for coastal dune habitat detection on coastal ecosystems combining very high‐resolution UAV imagery and field survey

Contact Info

Product

Resources

About