Carbon flux for the Caribbean giant barrel sponge Xestospongia muta (Sponge-loop) on 2013-05-01 (NCEI Accession 0277251)
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title: Carbon flux for the Caribbean giant barrel sponge Xestospongia muta (Sponge-loop) on 2013-05-01 (NCEI Accession 0277251)
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abstract: This dataset contains chemical data collected at UNCW during deployment McMurray_UNCW on 2013-05-01. These data include dissolved organic Carbon, particulate organic Carbon (POC), and total organic Carbon. The instruments used to collect these data include Elemental Analyzer. These data were collected by Christopher Finelli, Dr Joseph Pawlik, and Steven McMurray of University of North Carolina - Wilmington as part of the "Testing the sponge-loop hypothesis for Caribbean coral reefs (sponge-loop)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2023-01-23. The following is the text of the dataset description provided by BCO-DMO: Sponge carbon flux Dataset Description: This dataset includes flux measurements of dissolved, particulate and total organic carbon associated with the Caribbean giant barrel sponge Xestospongia muta on Conch Reef, Key Largo, FL in June 2013.
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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supplementalInformation: Acquisition Description: Suspension feeding by Xestospongia muta was investigated in situ on Conch Reef (24°56’59”N; 80°27’13”W), Key Largo, Florida in June of 2013. Food availability is known to vary temporally on Conch Reef (e.g. McMurray et al. 2016); therefore, a total of 32 individuals were haphazardly selected for study at 20 m depth over the course of 6 days (5-6 sponges day -1 ) to quantify feeding rates over a large natural range of food abundances. Individuals spanned a broad range of sizes, however only individuals with a single osculum were included. A total of 1 L of both incurrent (ambient) and excurrent seawater was collected from each sponge over a 5 minute sampling interval with paired 100 mL syringes as previously described (McMurray et al. 2016). Following seawater sample collection, the dimensions of each sponge were measured and the morphology of X. muta was approximated as a frustum of a cone to obtain sponge volume estimates (McMurray, Blum & Pawlik 2008). Estimates of sponge pumping rates were derived from the equation Q = 0.02 V 1.1 ( P < 0.001, R 2 = 0.78; McMurray et al. 2014), where Q is the pumping rate (ml s -1 ) and V is sponge volume (cm 3 ) Particulate and dissolved organic carbon (POC and DOC, respectively) in incurrent and excurrent seawater was quantified as previously described (McMurray et al. 2016). Briefly, each sample was filtered through a 100 μm mesh and subsequently through a pre-combusted GF/F glass fiber filter. In the laboratory, POC on filters was measured using a CE Elantech NC2100 elemental analyzer; DOC in filtrate samples was measured using high temperature catalytic oxidation with a Shimadzu TOC 5050 analyzer. Xestospongia muta hosts symbiotic microbes which may contribute to DOC retention rates (Maldonado, Ribes & van Duyl 2012); therefore carbon flux estimates reported here consider the sponge as a holobiont. To assess the effects of sponge feeding on POC and DOC, differences in the concentration of each food type between incurrent and excurrent seawater were analyzed using paired t -tests. For each sponge, POC and DOC consumed were calculated as the difference between the quantities of each food resource in incurrent and excurrent seawater samples. To investigate selective feeding on food resource types, and if relative foraging effort between food resources varied as a function of relative food availability (McMurray et al. 2016), the log 10 -transformed ratio of POC:DOC consumed was regressed against the log 10 -transformed ratio of incurrent POC:DOC concentration (van Leeuwen et al. 2013). A one-tailed t -test was used to test if the slope of this regression was greater than a slope of 1 to examine frequency-dependent food consumption. Retention efficiency of each food resource was calculated as: RE = (Cin - Cex)/C in x 100 where RE is the retention efficiency (%), and C in and C ex are the incurrent and excurrent quantities of each food resource (μM), respectively. The filtration rate for each food resource was calculated as: FR = (C in - C ex ) x Q where FR is the filtration rate (μmol C s -1 ). Ordinary least squares regression was used to examine how filtration rates for each food resource scaled with sponge size. Filtration rates were standardized by sponge volume to obtain specific filtration rates (μmol C s -1 L -1 ). The relationship between specific filtration rate and log e -transformed incurrent food abundance for each food resource was described by ordinary least squares regression. These data were published in: McMurray, S.E. 2015. The Dynamics of Sponge Populations and Benthic-pelagic Carbon Flux on Coral Reefs. Ph.D. Dissertation. University of North Carolina Wilmington. References: Maldonado, M., Ribes, M. & van Duyl, F.C. (2012) Nutrient fluxes through sponges: biology, budgets, and ecological implications. Advances in Marine Biology, Vol 62 (eds M.A. Becerro, M.J. Uriz, M. Maldonado & X. Turon), pp. 113–182. Academic Press, Amsterdam. McMurray, S.E., Blum, J.E. & Pawlik, J.R. (2008) Redwood of the reef: growth and age of the giant barrel sponge Xestospongia muta in the Florida Keys. Marine Biology , 155 , 159–171. McMurray, S.E., Johnson, Z.I., Hunt, D.E., Pawlik, J.R. & Finelli, C.M. (2016) Selective feeding by the giant barrel sponge enhances foraging efficiency. Limnology and Oceanography , 61 , 1271–1286. McMurray, S.E., Pawlik, J.R. & Finelli, C.M. (2014) Trait-mediated ecosystem impacts: how morphology and size affect pumping rates of the Caribbean giant barrel sponge. Aquatic Biology , 23 , 1–13. van Leeuwen, E., Brännström, Å., Jansen, V.A.A., Dieckmann, U. & Rossberg, A.G. (2013) A generalized functional response for predators that switch between multiple prey species. Journal of Theoretical Biology , 328 , 89–98.
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