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GCE-LTER Data Set Summary

Accession: INV-GCEM-1302 Research Theme: Aquatic Invertebrate Ecology (Monitoring)
Contributors: Merryl Alber, Steve Pennings, Jacob Shalack, Caroline Reddy, Ashby Nix, Hongyu Guo, Kazik Wieski
Title: Mollusc population abundance monitoring: Fall 2012 mid-marsh and creekbank infaunal and epifaunal mollusc abundance based on collections from GCE marsh, monitoring sites 1-10
Abstract: This data set is the Fall 2012 estimate of infaunal and epifaunal mollusc abundance at the GCE-LTER marsh sites used for population monitoring. Species abundance was determined by hand-collecting all the infaunal and epifaunal molluscs from within quadrats of known area in mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites. The molluscs were returned to the lab, fixed in ethanol, transferred to and preserved in ethanol, counted and measured (size data is reported separately). The counts were converted to number per square meter. Gastropod species are listed first, followed by bivalve species. Size distribution data for these will be archived in a separate dataset.
DOI: 10.6073/pasta/7249f6c7ffffb55dd8ab953f3dbe7f87
Key Words: abundance, Aquatic Invertebrate Monitoring, community composition, creek bank, density, Detracia, epifauna, fall, Geukensia, Hydrobiidae, Ilyanassa, infauna, intertidal, Littoraria, Littorina, marshes, Melampus, mid-marsh, mollusks, monitoring, permanent plots, Polymesoda, species diversity, Succineidae
LTER Core Area: Population Studies
Research Themes: Q2 - Domain Patterns, GCE3 Area2 - Patterns within the Domain, Aquatic Invertebrate Ecology
Study Period: 01-Oct-2012 to 11-Oct-2012
Study Sites:
GCE1 -- Eulonia, Georgia, USA
GCE2 -- Four Mile Island, Georgia, USA
GCE3 -- North Sapelo, Sapelo Island, Georgia, USA
GCE4 -- Meridian, Georgia, USA
GCE5 -- Folly River, Georgia, USA
GCE6 -- Dean Creek, Sapelo Island, Georgia, USA
GCE7 -- Carrs Island, Georgia, USA
GCE8 -- Alligator Creek, Georgia, USA
GCE9 -- Rockdedundy Island, Georgia, USA
GCE10 -- Hunt Camp, Sapelo Island, Georgia, USA
» Download Geographic Coverage: Google Earth, ESRI Shapefile (polygons, points)
Species References: Detracia floridana, Geukensia demissa, Hydrobiidae, Ilyanassa obsoleta, Littoraria irrorata, Melampus bidentatus, Polymesoda caroliniana, Succineidae
Project References: Invasive species, Marine invertebrate monitoring
Downloads: Information

Data Table: INV-GCEM-1302 (Main data table for data set INV-GCEM-1302, 704 records)

Access: Public (released 20-Feb-2014)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [62.71kb],  Text File [58.11kb],  Text Report [154.31kb],  MATLAB (GCE Toolbox) [987.30kb],  MATLAB (Variables) [631.61kb]

Column List:(hide)

Column Name Units Type Description
1 Year YYYY integer Calendar year of observation
2 Month MM integer Calendar month of observation
3 Day DD integer Calendar day of observation
4 Site none integer Nominal GCE-LTER sampling site
5 Zone none integer Marsh zone (creekbank or mid-marsh)
6 Plot none integer Replicate plot number
7 Location none string Geographic location code in the GCE Metadata Database for the sampling plot
8 Location_Notes none string Notes on location assignments and geographic accuracy
9 Longitude degrees floating-point Geographic longitude in decimal degrees
10 Latitude degrees floating-point Geographic latitude in decimal degrees
11 Species none string Species Name
12 Abundance count integer Number of molloscs counted in the plot area
13 Quadrat_Area m^2 floating-point Area of the sampling quadrat
14 Density count/m^2 floating-point Number of Littoraria per area sampled
Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: Alber, Merryl. 2013. Mollusc population abundance monitoring: Fall 2012 mid-marsh and creekbank infaunal and epifaunal mollusc abundance based on collections from GCE marsh, monitoring sites 1-10. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/7249f6c7ffffb55dd8ab953f3dbe7f87

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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959 and OCE-1237140. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.