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GCE-LTER Data Set Summary

Accession: INV-GCEM-2307 Research Theme: Aquatic Invertebrate Ecology (Monitoring)
Contributors: Steven C. Pennings, Jacob Shalack, Laura Hollander, John Williams, Jonah Rigdon
Title: Mollusc population abundance monitoring: Fall 2022 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 2022 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 collections may be found in the GCE-LTER data set INV-GCEM-2307a.
DOI: (not assigned)
Key Words: abundance, Animalia, Aquatic Invertebrate Monitoring, Archaeopulmonata, Bilateria, Bivalvia, Corbiculidae, Corbiculoidea, creek bank, density, Detracia, Detracia floridana, Ellobiidae, epifauna, fall, Gastropoda, GCE, Georgia, Georgia Coastal Ecosystems, Geukensia, Geukensia demissa, Heterodonta, Hydrobiidae, Ilyanassa, infauna, intertidal, Littoraria, littoraria irrorata, Littorinidae, Lophozoa, LTER, marshes, Melampus, Melampus bidentatus, mid-marsh, Mollusca, mollusks, monitoring, Mytilidae, Mytiloida, Nassariidae, Nassarius obsoletus, Neogastropoda, Neotaenioglossa, Odostomia, Polymesoda, Polymesoda caroliniana, populations, Prosobranchia, Protostomia, Pteriomorphia, Sapelo Island, Stylommatophora, Succineidae, USA, vegetation, Veneroida
LTER Core Area: Population Studies
Research Themes: Aquatic Invertebrate Ecology
Study Period: 17-Oct-2022 to 28-Oct-2022
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
Species References: Detracia floridana, Geukensia demissa, Hydrobiidae, Ilyanassa obsoleta, Littoraria irrorata, Melampus bidentatus, Polymesoda caroliniana, Succineidae
Data References: INV-GCEM-2307a (Corresponding Mollusc Length Data Set)
Downloads: Information

Data Table: INV-GCEM-2307 (Main data table for data set INV-GCEM-2307, 792 records)

Access: GCE Members only (public release on 08-Nov-2024)

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

Data Formats: Spreadsheet (CSV) [31.71kb],  Text File [29.65kb],  MATLAB (GCE Toolbox) [46.64kb],  MATLAB (Variables) [73.67kb],  Text Report [116.11kb]

Column List:(hide)

Column Name Units Type Description
1 Year YYYY integer Calendar year of observation
2 Month M integer Calendar month of observation
3 Day D 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 Species none string Species Name
8 Mollusc_Abundance count integer Number of molloscs counted in the plot area
9 Quadrat_Area m^2 floating-point Area of the sampling quadrat
10 Mollusc_Density count/m^2 floating-point Number of mollosc species per squre meter
Citation: Pennings, Steven C. 2023. Mollusc population abundance monitoring: Fall 2022 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. https://gce-lter.marsci.uga.edu/data/INV-GCEM-2307

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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. 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.