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Tfaily, M. M.

Publications and source records attributed to Tfaily, M. M..

2 recordsLinked to original sources

Redox fluctuations control the coupled cycling of iron and carbon in tropical forest soils

Oscillating redox conditions are the norm in tropical soils; driven by an ample supply of reductants, high moisture, microbial oxygen consumption, and finely textured clays that limit diffusion. Yet the net result of variable soil redox regimes on iron-organic matter (Fe-OM) associations in tropical soils owing to changing climate is poorly understood. Using a 44-day redox incubation experiment with humid tropical soils from Puerto Rico, we examined patterns of Fe and C transformation under four redox regimes: static anoxic, flux 4-day (4d oxic, 4d anoxic), flux 8-day (8d oxic, 4d anoxic) and static anoxic. Prolonged anoxia promoted reductive dissolution of Fe-oxides and an increase in short-range ordered (SRO) Fe oxides. Preferential dissolution of this less-crystalline Fe pool was evident immediately following a shift in bulk redox status (oxic to anoxic), and coincided with increased dissolved organic carbon, presumably due to acidification or direct release of OM from dissolving Fe(III) mineral phases. Average nominal oxidation state of water-soluble carbon was lowest under persistent anoxic conditions, suggesting more reduced OC is microbially preserved under reducing conditions. Anoxic soil compounds had high H/C values (similar to lignin-like metabolites) whereas oxic soil compounds had higher O/C values, akin to tannin- and cellulose-like components. Cumulative respiration derived from native soil organic carbon was highest in static oxic soils. These results highlight the volatility of mineral-OM interactions in tropical soils, and suggest that short-term impacts of shifting soil O2 availability control exchanges of C between mineral-sorbed and aqueous pools, implying that the periodicity of low-redox moments may control the fate of C in wet tropical soils.\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC=\"FIGDIR/small/312108_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (23K):\norg.highwire.dtl.DTLVardef@add07borg.highwire.dtl.DTLVardef@15269bforg.highwire.dtl.DTLVardef@19ca034org.highwire.dtl.DTLVardef@1d9d793_HPS_FORMAT_FIGEXP M_FIG Toc Art C_FIG

ecology

Dispersal limitation and thermodynamic constraints govern spatial structure of permafrost microbial communities

Understanding drivers of permafrost microbial community composition is critical for understanding permafrost microbiology and predicting ecosystem responses to thaw, however studies describing ecological controls on these communities are lacking. We hypothesize that permafrost communities are uniquely shaped by constraints imposed by prolonged freezing, and decoupled from factors that influence non-permafrost soil communities. To test this hypothesis, we characterized patterns of environmental variation and microbial community composition in permafrost across an Alaskan boreal forest landscape. We used null modeling to estimate the relative importance of selective and neutral assembly processes on community composition, and identified environmental factors influencing ecological selection through regression and structural equation modeling (SEM). Proportionally, the strongest process influencing community composition was dispersal limitation (0.36), exceeding the influence of homogenous selection (0.21), variable selection (0.16), and homogenizing dispersal (0.05). Fe(II) content was the most important factor explaining variable selection, and was significantly associated with total selection by univariate regression (R2=0.14, p=0.003). SEM supported a model in which Fe(II) content mediated influences of the Gibbs free energy of the organic matter pool and organic acid concentration on total selection. These findings reveal that the processes shaping microbial communities in permafrost are distinct from those in non-permafrost soils, as the stability of the permafrost environment imposes dispersal and thermodynamic constraints on permafrost communities. Models of permafrost community composition will need to account for these unique drivers in order to predict community characteristics across permafrost landscapes, and in efforts to understand how pre-thaw conditions will influence post-thaw ecological and biogeochemical processes.

ecology