Analysis of tidal marsh vegetation patterns in two Georgia estuaries using aerial photography and GIS

Estuaries ◽  
2004 ◽  
Vol 27 (4) ◽  
pp. 670-683 ◽  
Author(s):  
Carrie B. Higinbotham ◽  
Merryl Alber ◽  
Alice G. Chalmers
Keyword(s):  
Aerial Photography ◽  
Tidal Marsh ◽  
Vegetation Patterns ◽  
Marsh Vegetation

Marsh vegetation patterns and soil phosphorus gradients in the Everglades ecosystem

1997 ◽  
Vol 56 (2) ◽  
pp. 145-163 ◽  
Author(s):  
Robert F. Doren ◽  
Thomas V. Armentano ◽  
Louis D. Whiteaker ◽  
Ronald D. Jones
Keyword(s):  
Soil Phosphorus ◽  
Vegetation Patterns ◽  
Marsh Vegetation

scholarly journals RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh Biomass from a Small Unmanned Aerial System

2021 ◽  
Vol 13 (17) ◽  
pp. 3406
Author(s):  
Grayson R. Morgan ◽  
Cuizhen Wang ◽  
James T. Morris
Keyword(s):  
Remote Sensing ◽  
Tidal Marsh ◽  
Explanatory Power ◽  
Canopy Height ◽  
Tidal Marshes ◽  
Biomass Estimation ◽  
Unmanned Aerial Systems ◽  
High Marsh ◽  
Environmental Biology ◽  
Marsh Vegetation

Coastal tidal marshes are essential ecosystems for both economic and ecological reasons. They necessitate regular monitoring as the effects of climate change begin to be manifested in changes to marsh vegetation healthiness. Small unmanned aerial systems (sUAS) build upon previously established remote sensing techniques to monitor a variety of vegetation health metrics, including biomass, with improved flexibility and affordability of data acquisition. The goal of this study was to establish the use of RGB-based vegetation indices for mapping and monitoring tidal marsh vegetation (i.e., Spartina alterniflora) biomass. Flights over tidal marsh study sites were conducted using a multi-spectral camera on a quadcopter sUAS near vegetation peak growth. A number of RGB indices were extracted to build a non-linear biomass model. A canopy height model was developed using sUAS-derived digital surface models and LiDAR-derived digital terrain models to assess its contribution to the biomass model. Results found that the distance-based RGB indices outperformed the regular radio-based indices in coastal marshes. The best-performing biomass models used the triangular greenness index (TGI; R2 = 0.39) and excess green index (ExG; R2 = 0.376). The estimated biomass revealed high biomass predictions at the fertilized marsh plots in the Long-Term Research in Environmental Biology (LTREB) project at the study site. The sUAS-extracted canopy height was not statistically significant in biomass estimation but showed similar explanatory power to other studies. Due to the lack of biomass samples in the inner estuary, the proposed biomass model in low marsh does not perform as well as the high marsh that is close to shore and accessible for biomass sampling. Further research of low marsh is required to better understand the best conditions for S. alterniflora biomass estimation using sUAS as an on-demand, personal remote sensing tool.

Vegetation structure and diversity components of a Fraser estuary tidal marsh

1982 ◽  
Vol 60 (4) ◽  
pp. 440-451 ◽  
Author(s):  
Gary E. Bradfield ◽  
Glendon L. Porter
Keyword(s):  
Vegetation Structure ◽  
Festuca Arundinacea ◽  
Tidal Marsh ◽  
River Estuary ◽  
Hydrological Regime ◽  
Reciprocal Averaging ◽  
Marsh Vegetation ◽  
Vegetation Zones ◽  
Components Analysis ◽  
Menyanthes Trifoliata

Vegetation data from a predominantly freshwater-influenced tidal marsh in the Fraser River estuary are analysed to investigate different properties of community structure. Three main vegetation zones are recognized, dominated respectively by Carex lyngbyei, Festuca arundinacea, and Menyanthes trifoliata. The zones occupy parts of the marsh which differ primarily in hydrological regime: the Carex zone occurs in regularly flooded and drained areas, mainly along tidal creeks; the Festuca zone occurs on infrequently flooded levees; the Menyanthes zone occurs in areas of impeded drainage, mainly between tidal creeks.Principal components analysis and reciprocal averaging gave similar results except for a 90° rotation of ordination axes. The combined results from cluster analysis and ordination give a useful summary of the marsh vegetation structure. The evaluation of various diversity measures including species richness, species density, beta diversity, and species evenness provided a useful basis for making comparisons and helped to focus attention on factors influencing community development.

Response of tidal marsh vegetation to pulsed increases in flooding and nitrogen

2019 ◽  
Vol 28 (1) ◽  
pp. 119-135 ◽  
Author(s):  
M. M. McCoy ◽  
T. M. Sloey ◽  
R. J. Howard ◽  
M. W. Hester
Keyword(s):  
Tidal Marsh ◽  
Marsh Vegetation
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