Reports: ND251690-ND2: Re-Examination of Environmental Controls on Bacterial Branched Tetraether Lipids using North American Soils
Yongsong Huang, Brown University
AAT = 7.853 + 6.925 × f(I)
(R2 = 0.132; RMSE = 4.45℃; p < 0.001; n = 238) (1)
pH = 8.466 - 4.182 × f(I) – 1.797 × f(II)
(R2 = 0.562; RMSE = 0.82 pH unit; p < 0.001; n = 230) (2)
AAP = 1.05 + 2.862 × f(I) + 3.6 × f(Ib) – 13.799 × f(IIIb) + 14.08 × f(Ic) – 0.875 × f(II)
(R2 = 0.74; RMSE = 0.53 mm/day; p < 0.001; n = 238) (3)
The strong relationship between FAB and precipitation is surprising, since published data so far have mostly emphasized temperature and pH relationship (Weijers et al., 2007; Peterse et al., 2012).
We note, however, if we divide samples according to precipitation, distinctive differences between different regions are revealed. Importantly, annual average precipitation (AAP) played a major role, in most cases stronger than annual average temperature (AAT), in controlling the b-GDGT distributions. The strongest correlation between AAP and b-GDGT is found in mid-latitude grassland (R2 = 0.78), or when soil pH values are greater than 8 (R2 = 0.88). Temperature effect is only apparent in regions of high AAP (e.g., >1200 mm) and mixed forest. The effect of pH is strong in almost all regions. Our results suggest that temperature reconstructions involve a more complex set of controls than previously realized, including possibly vegetation effects and almost certainly AAP effects on the development of branched GDGT-producing bacteria.
Some examples of strong relationship between environmental variables and FAB is listed as follows:
AAP > 1200 mm/yr
AAT = 34.69 – 55.327 × f(II) – 14.115 × f(I)
(R2 = 0.75; RMSE = 2.24℃; p < 0.001; n = 35) (4)
Midlatitude grassland
AAP = 4.195 – 4.724 × f(II) – 2.604 × f(III) – 23.425 × f(IIc)
(R2 = 0.78; RMSE = 0.31 mm/day; p < 0.001; n = 43) (5)
pH > 8
AAP = 0.93 + 9.452 × f(Ib) – 2.149 × f(I)
(R2 = 0.88; RMSE = 0.16 mm/day; p < 0.001; n = 19) (6)
AAT > 15
pH = 8.225 – 3.743 × f(I)
(R2 = 0.789; RMSE = 0.583 pH unit; p < 0.001; n = 35) (7)
AAP = 3.694 – 3.442 × f(II) – 4.192 × f(III)
(R2 = 0.766; RMSE = 0.557 mm/day; p < 0.001; n = 35) (8)
Our results indicate distributions of branched GDGTs in different environments differ significantly: the predominant controlling factors differ and the strength of the relationship differs as well. We have already completed all the data analysis and are currently working up the manuscript for submission.
References:
Dirghangi S. S., Pagani M., Hren M. T. and Tipple B. J. (2013) Distribution of glycerol dialkyl glycerol tetraethers in soils from two environmental transects in the USA. Organic Geochemistry 59, 49-60.
Peterse F., van der Meer J., Schouten S., Weijers J. W. H., Fierer N., Jackson R. B., Kim J.-H. and Sinninghe Damsté J. S. (2012) Revised calibration of the MBT-CBT paleotemperature proxy based on branched tetraether membrane lipids in surface soils. Geochimica et Cosmochimica Acta 96, 215-229.
Weijers J. W. H., Schouten S., van den Donker J. C., Hopmans E. C. and Sinninghe Damsté J. S. (2007b) Environmental controls on bacterial tetraether membrane lipid distribution in soils. Geochimica et Cosmochimica Acta 71, 703–713.