Site characterization using estimates of vegetative cover at Chandeleur Island, 2015

Dataset extent

Abstract

To characterize plots as marsh only, mangrove only, or mixed, we employed a simple, effective assessment of percent cover. In each 3m*3m plot, we quantified plant species percent cover in three haphazardly selected 0.25m2 quadrats. For abiotic data, please reference the dataset R4.x262.212:0001, The effects of oiling on salt marsh and mangrove macrofauna communities at the Chandeleur Islands, LA (June and September 2015) located at https://data.gulfresearchinitiative.org/data/R4.x262.212:0001 (Macrofauna_abiotics_ChandeleurIsland_2015.csv).

Purpose

Assessments of percent vegetation cover offer simple and accurate characterizations of relative species composition. This method was used to ensure that vegetation composition at selected treatment plots was commensurate with levels as outlined in the proposal.

DOI: doi:10.7266/N7JS9NH9

Suggested Citation

Just Cebrian, Josh Goff. 2017. Site characterization using estimates of vegetative cover at Chandeleur Island, 2015. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7JS9NH9

Funded by: Gulf of Mexico Research Initiative (GoMRI)

Funding cycle: RFP-IV

Research group: Alabama Center for Ecological Resilience (ACER)

Data and Resources

Additional Info

Field Value
Author Just Cebrian
Maintainer data@disl.org
Last Updated October 25, 2022, 19:33 (UTC)
Created July 27, 2022, 14:34 (UTC)
DOI doi:10.7266/N7JS9NH9
ISO.principalInvestigator Just Cebrian <jcebrian@ngi.msstate.edu>
Place Keywords Louisiana, Chandeleur Islands, Gulf of Mexico
Temporal Begin 2015-06-30
Temporal End 2015-09-21
Theme Keywords Spartina alterniflora, percent coverage, Avicennia germinans, oil, Deepwater Horizon, vegetation
spatial { "type": "Polygon", "coordinates": [ [ [ -88.84114, 29.93216 ], [ -88.82712, 29.93216 ], [ -88.82712, 29.86356 ], [ -88.84114, 29.86356 ], [ -88.84114, 29.93216 ] ] ] }