Marsh Health Study East Fowl River, Mobile County (AL) Submerged Aquatic Vegetation 2018

Dataset extent

GPS data was collected along the inner and outer boundaries of SAV beds in October 2018, along the margins of three spits in East Fowl River, AL. ESRI polygon coverage was created in ArcGIS 10.7, using the field points and 2017 orthoimagery imagery as a base map. Transition zone SAV beds are predominantly wild celery (Vallisneria neotropicalis). Eurasian watermilfoil (Myriophyllum spicatum), widgeongrass (Ruppia maritima) southern naiad (Najas guadalupensis), and coon's tail (Ceratorphyllum demersum) were also recorded during the survey.

Data and Resources

Additional Info

Field Value
Author Tim Thibaut
Maintainer data@disl.org
Last Updated July 22, 2022, 22:52 (UTC)
Created July 22, 2022, 22:52 (UTC)
Content Create Date 2019-08-23
ISO.pointOfContact DISL Data Management
ISO.pointOfContact.1 Tim Thibaut <tthibaut@bvaenviro.com>
ISO.principalInvestigator Tim Thibaut <tthibaut@bvaenviro.com>
Place Keywords East Fowl River, Mobile County, Alabama
Temporal Begin 2018-10-01
Temporal End 2019-08-01
Theme Keywords Submerged aquatic vegetation
Use Constraints Acknowledgment of the MBNEP, National Fish and Wildlife Foundations Gulf Environmental Benefit Fund (NFWF GEBF), and Barry A. Vittor & Associates, Inc. would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected by users of these data. Users should be aware that comparison with other data sets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection, field conditions, and computer processes over time. The distributor shall not be liable for improper or incorrect use of these data, based on the description of appropriate/inappropriate uses described in the metadata document. These data are not legal documents and are not to be used as such.
spatial { "type": "Polygon", "coordinates": [ [ [ -88.135107, 30.451644 ], [ -88.126347, 30.451644 ], [ -88.126347, 30.440549 ], [ -88.135107, 30.440549 ], [ -88.135107, 30.451644 ] ] ] }