This dataset contains the fatty acid composition of various sources, including macroalgae, mangroves, saltmarsh, seagrass, SPOM (suspended particulate organic matter), and terrestrial grass. The data includes mean values, standard deviations and sample sizes for different fatty acids, as well as the study from which the data was sourced. Values of 0 standard deviation have been arbitrarily transformed to 0.01.
bcs_faA data frame with 6 rows and 15 variables:
The source of the sample (e.g., Macroalgae, Mangrove, etc.).
The taxa or species associated with the source.
Mean value of the fatty acid 24:0.
Standard deviation of the fatty acid 24:0.
Sample size of the fatty acid 24:0.
Mean value of the fatty acid 18:1w9.
Standard deviation of the fatty acid 18:1w9.
Sample size of the fatty acid 18:1w9.
Mean value of the fatty acid 18:2w6.
Standard deviation of the fatty acid 18:2w6.
Sample size of the fatty acid 18:2w6.
Mean value of the fatty acid 18:3w3.
Standard deviation of the fatty acid 18:3w3.
Sample size of the fatty acid 18:3w3.
Mean value of the fatty acid 20:4w6.
Standard deviation of the fatty acid 20:4w6.
Sample size of the fatty acid 20:4w6.
Mean value of the fatty acid 20:5w3.
Standard deviation of the fatty acid 20:5w3.
Sample size of the fatty acid 20:5w3.
The study from which the data was sourced.
The data and methodology are described in the following references:
Khotimchenko, S. V. (1991). Fatty acid composition of seven Sargassum species. Phytochemistry, 30(8), 2639-2641.
Meziane, T., Lee, S. Y., Mfilinge, P. L., Shin, P. K. S., Lam, M. H. W., & Tsuchiya, M. (2007). Inter-specific and geographical variations in the fatty acid composition of mangrove leaves: implications for using fatty acids as a taxonomic tool and tracers of organic matter. Marine Biology, 150, 1103-1113. DOI:10.1007/s00227-006-0424-z
Weete, J. D., Rivers, W. G., & Webert, D. J. (1970). Hydrocarbon and fatty acid distribution in the halophyte, Salicornia bigelovii. Phytochemistry, 9, 2041-2045.
Belicka, L. L., Burkholder, D., Fourqurean, J. W., Heithaus, M. R., Macko, S. A., & Jaffé, R. (2012). Stable isotope and fatty acid biomarkers of seagrass, epiphytic, and algal organic matter to consumers in a pristine seagrass ecosystem. Marine and Freshwater Research, 63(3), 1085-1097. DOI:10.1071/MF12027
Burns, K. A., Volkman, J. K., Cavanagh, J.-A., & Brinkman, D. (2003). Lipids as biomarkers for carbon cycling on the Northwest Shelf of Australia: results from a sediment trap study. Marine Chemistry, 80, 103-128.
Wang, S., Chu, T., Huang, D., Li, B., & Wu, J. (2014). Incorporation of Exotic Spartina alterniflora into Diet of Deposit-Feeding Snails in the Yangtze River Estuary Salt Marsh: Stable Isotope and Fatty Acid Analyses. Ecosystems, 17, 567-577. DOI:10.1007/s10021-013-9743-3
library(MixMustR)
data(bcs_fa)
head(bcs_fa)
#> source Taxa 24:0 24:0 (SD)
#> 1 Macroalgae Sargassum 0.00 0.010000
#> 2 Mangrove A. marina 2.73 1.398428
#> 3 Saltmarsh Salicornia bigelovii 3.30 3.300000
#> 4 Seagrass C. augustata, A antartica, H. uniervis 0.00 0.010000
#> 5 SPOM sediment trap 200-1430m 0.00 0.010000
#> 6 Terrestrial grass Phragmites australis 0.29 0.090000
#> 24:0 (n) 18:1w9 18:1w9 (SD) 18:1w9 (n) 18:2w6 18:2w6 (SD) 18:2w6 (n)
#> 1 10 9.457143 1.384265 10 6.042857 1.8707014 10
#> 2 10 14.127500 1.867822 10 15.480000 2.0021988 10
#> 3 10 9.100000 7.636753 10 18.350000 4.4547727 10
#> 4 10 4.000000 1.000000 10 27.000000 5.0000000 10
#> 5 10 18.500000 10.163415 10 0.560000 0.6024948 10
#> 6 10 1.990000 0.140000 10 12.530000 0.9100000 10
#> 18:3w3 18:3w3 (SD) 18:3w3 (n) 20:4w6 20:4w6 (SD) 20:4w6 (n) 20:5w3
#> 1 7.171429 0.9551863 10 14.27143 1.9652941 10 5.514286
#> 2 28.295000 2.5227564 10 0.10500 0.2100000 10 0.000000
#> 3 24.850000 32.5976226 10 0.00000 0.0100000 10 0.000000
#> 4 33.000000 12.0000000 10 1.00000 0.5000000 10 1.000000
#> 5 1.420000 0.2588436 10 0.38000 0.8497058 10 4.680000
#> 6 40.310000 3.5200000 10 1.08000 1.0200000 10 0.160000
#> 20:5w3 (SD) 20:5w3 (n) Study
#> 1 3.948176 10 Khotimchenko 1991
#> 2 0.010000 10 Meziane et al 2006
#> 3 0.010000 10 Weete et al 1970
#> 4 1.000000 10 Belicka et al 2012
#> 5 3.965728 10 Burns et al 2003
#> 6 0.060000 10 Wang et al 2014