Variability in Biogenic Sulfur Emissions from Florida Wetlands

1Drinking Water Research Center,. Florida International University, Miami, FL 33199 ... were measured from several wetland ecosystems in Florida. The ...
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Chapter 3

Variability in Biogenic Sulfur Emissions from Florida Wetlands 1

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David J . Cooper , William J . Cooper , William Z. de Mello , Eric S. Saltzman , and Rod G. Zika 1

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Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, F L 33149-1098 Drinking Water Research Center, Florida International University, Miami, F L 33199 1

Emissions of biogenic hydrogen sulfide (H S), dimethylsulfide (DMS), carbon disulfide (CS ) and dimethyldisulfide (DMDS) were measured from several wetland ecosystems in Florida. The factors governing their variability can be divided into spatial, seasonal, diel and tidal components. These components, in turn, relate to the effects of temperature, insolation and soil inundation on both the physicochemical factors controlling sulfur emissions and the metabolism of bacteria and higher plants. This paper illustrates these effects and their inter-relationships using data obtained over several diel periods, repeated several times during the course of a single seasonal cycle. Ecosystems studied include a Spartina alterniflora coastal fringe, a brackish Disticlis spicata marsh, a freshwater Cladium jamaicense swamp, a Juncus roemerianus marsh, an Avicennia germinans (Black mangrove) fringe, coastal seawater surfaces, and intertidal mudflats at several locations. 2

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Models of the global sulfur cycle include biological sources of volatile sulfur ases as a significant input to the atmosphere. The magnitude of this input, owever, remains a major uncertainty involved in such models. Biological sources of reduced sulfur include both marine and terrestrial components. Most recent studies suggest a value of 40 +. 20 Tg S/yr (1) for the former component, due to the release of dimethylsulfide (DMS) from the surface ocean. Estimates of the latter component are highly variable, however, reflecting the variability and the sparsity of previous direct measurements. We are hampered by our poor understanding of the processes controlling the release of reduced sulfur gases from the different ecosystems studied, their spatial and temporal importance, and doubts concermng earlier analytical methodology (2). Many 01 the previous direct flux measurements have focused on two distinct ecosystems, intertidal mudflats and Spartina alterniflora salt marshes. These coastal systems have the potential for large emissions of volatile reduced sulfur ;ases due to the availability of sulfate and organic matter. Intertidal mudflats 2,4) have a tendency towards anoxia, with concomitant production of HoS via sulfate reduction. £ . alterniflora marshes (4,5) release DMS througn the

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0097-6156/89/0393-0031$06.00A) • 1989 American Chemical Society

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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BIOGENIC SULFUR IN THE ENVIRONMENT

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cleavage of dimethylsulphonioproprionate (DMSP), an osmolite found at high concentration within the plant (£). Not suiprisingly, flux measurements made from more representative soil types show significantly lower emission rates Q ) . This paper summarizes the results of emission measurements made irom several wetlands i n Florida. The two environments mentioned above were sampled, in addition to sites with predominant plant communities of Cladium jamaicense. Juncus roemerianus. Disticlis spicata. Avicennia germinans. Batis maritima. and coastal seawater surfaces. Complete descriptions of the sites are given i n refs. (8-11). These sites were chosen to represent the major wetland plant communities of Florida, and their geographic locations are shown i n Figure 1. Sampling and Analytical Methods Emissions were measured using a dynamic flow chamber technique (&). HoS was collected using a silver nitrate impregnated filter method, and analysed by the fluorescence quenching of fluorescein mercuric acetate (2A12). D M S , C S and D M D S were collected by cryogenic trapping in a packed Teflon loop, using liquid oxygen, and analysed by gas chromatography with flame photometric detection (2,1Q). A 1 2 foot Chromosil 330 column was used with nitrogen as the carrier gas at 30 c m i - i . The G C oven was temperature programmed from 25-100°C at 25°C m i n with an initial hold of two minutes and a final hold of eight minutes. The G C method is quantitative for these three compounds. Low m o l e c u l a r w e i g h t t h i o l s a n d H2S, h o w e v e r , showed losses i n o u r chromatographic system, and carbonyl sulfide (OCS) could not be quantified due to co-elution with CO2 and/or hydrocarbons. A sample chromatogram is shown i n Figure 2. The A g N 0 3 ^ method is quantitative for H2S (&). Measurements were made over several diel periods at most of the sampling sites, repeated several times during the course of a seasonal cycle. Deposition of reduced sulfur compounds to enclosed surfaces could also be measured by adding low loss (5 ng/min, G C Industries) permeation tubes to the inlet of the chambers. This permeation rate adds an additional sulfur load which varied typically between 2 and 5 times that already within the enclosure. These studies were limited to surfaces where large temporal changes in natural emissions were not occurring, and ultimately became limited by the reliability of the permeation devices. 2

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Results and Discussion Emissions of biogenic sulfur compounds to the atmosphere result from an imbalance between metabolic formation processes and b i o l o g i c a l or physicochemical consumption processes, determined on the spatial scale of the available methods for measuring emission fluxes. Variability i n emissions patterns reflects the complexity of the factors contributing to these processes. Our results show that this variability can be described as the net result of the combined effects o f vegetation coverage, temperature, insolation, soil inundation and seasonal flooding. This gives resultant emissions patterns showing spatial, seasonal, diel and tidal effects. Within the £. alterniflora fringe, spatial variability i n both the magnitude and speciation o f biogenic sulfur emissions was found to reflect the inhomogeneity of vegetation coverage. This is vividly demonstrated i n the data shown in Table I, a summary of measurements made within the Spartina fringe. D M S and H S measurements were made from the same chambers, and all sites were within 5 meters of each other. The variations can be explained by the relative contributions to the total emission from soil bacteria versus plant 2

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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Figure 1. Sampling site locations: 1. Merritt Island ( D . spicataV. 2. Rookery Bay (A. germinans. sea surface, mudflat); 3. Old Ingraham highway ( £ . jamaicense); 4. Flamingo (fi. madtima); 5. St. Marks (£. alterniflora, I roemenanus. sea surface, mudflat)

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Figure 2. Sample chromatogram. Chamber over Q. jamaicense/water. CS% D M S and D M D S quantified, O C S not quantified due to co-elution with H S , CO2, and/or HCs. D M S emission rate = 0.11 /*g S/m /hr. Unidentified peaks are marked "U". 2

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Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

BIOGENIC SULFUR IN THE ENVIRONMENT

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Table I. Variation in Biogenic D M S and H S Emissions from a Spartina alterniflora Fringe, St. Marks, Florida Units of Mg S n r h r 2

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n.d. 3 -14866

1.3 -17 n.d.

0.5 - 1.7 0.09-8151

Wet Spartina site - D M S Wet Spartina site - H S

19-59 1.5 -118

17-96 0.17-9.6

Dry Spartina site - D M S Dry Spartina site - H S

97-556 1.3-5.5

30-70 n.d. 16 - 69* 66 -147* n.d.

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10-188 0.07 -1.9

•Two adjacent chambers with different vegetation coverage (see text).

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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metabolic processes. The release of D M S appears to be related to the metabolism of S. alterniflora. with higher fluxes occurring from vegetated sites, peaking in the early afternoon and at times of osmotic stress (1Q). Within the vegetated sites the magnitude of the D M S emission measured also reflects the biomass enclosed. Measurements made using two chambers at apparently identical dry sites, i n a region only inundated by extreme high tides (Table I), showed emission rates to oe approximately a factor of two to four different throughout the day. Later examination of the chamber locations revealed that the root biomass below the ground was a factor of 2-3 greater at the higher emitting site. The release of H 2 S from the Spartina fringe, on the other hand, is consistent with sulfate reduction i n the underlying anoxic sediment, which occurs at a shallower depth in the unvegetated areas. H S emissions occurred in intense pulses as the rising tide reached the sampling sites, forcing greater than 90% of the integrated emission in just 3% of the tidal cycle (2). This tidal pumping effect was found to be the major driving force in the release of H S at all intertidal mudflat sites sampled; at Rookery Bay, Flamingo and St. Marks, and also at two estuarine intertidal areas at St. Marks. This observation is in agreement with studies been made by other workers at various coastal locations 2

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Emissions of H?S from the surface of shallow water bodies with underlying anoxic sediments also appear to be controlled by the movement of the tides. Figure 3 shows the effect of water depth on the emission rate of HoS from the sea surface at Rookery Bay, measured over the course of several tidal cycles in October 1985 and January 1986. It is likely that oxidation of H S in the water column acts as a cap to the emission of rf S as it diffuses from the sediment below. The data of Figure 3 suggest that any emission of H S from the surface of water deeper than about one meter is unlikely. N o such effect was found in the emission of D M S from the coastal water surfaces, which is consistent with formation of this gas by algae in the water column, and not by bacteria i n the sediment. The emissions from a l l soil sites other than the £. alterniflora marsh followed a pattern that was consistent with release of microbial metabolites from the soil surface. H S and D M S were the predominant species found, with emission rates 10-100 times greater than those of C S and D M D S . Peak emissions of a l l compounds were measured i n the early afternoon, corresponding to the maximum soil temperature. No effects were found due to the extent of vegetation coverage. The difference between these sites and the S. alterniflora sites provides indirect evidence for the role of D M S P cleavage in the release of D M S from the tissues of the S> alterniflora. E l e v a t e d concentrations of D M S P have been reported to occur i n the leaves of £. alterniflora. when compared to other American salt-marsh species (fi). The effect of temperature on soil microbial activity is demonstrated in emission measurements made over two days at the I. roemerianus site, shown in Figure 4. Data were obtained during the passage of a cold front on January 1986, clearly showing a diel cycle i n the release of D M S and H S, which is correlated with soil temperature rather than insolation. Figure 5 shows a plot of D M S and H S emissions against temperature, combining the data set of Figure 4 with measurements made on two otner sampling trips. The different slopes of the D M S and H S data sets may reflect different bacterial processes leading to the formation o f these gases. The emission of D M S at this site is more strongly temperature dependent than the emission of H S. The brackish Disticlis spicata and Avicennia germinans sites and the freshwater Cladium jamaicense site experienced seasonal inundation during this study. During the dry season, temperature-related diurnal variations i n both 2

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Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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Figure 3. Effect of water column depth on the emission of H S from a coastal seawater surface, Rookery Bay, Florida, October 1985 and January 1986. 2

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

Figure 4. Emissions of HoS and D M S from a I. roemerianus marsh, soil temperature and insolation, St. Marks, Florida, January 25-27,1986.

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Temperature (°C)

Figure 5. Effect of soil temperature on the emissions of D M S and H S from a I. roemerianus marsh, St. Marks, Florida. 2

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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D M S and H S emissions from the exposed soils were found. When inundated during the wet season, the emission o f D M S from the water surfaces exhibited a similar diurnal cycle, but with a considerably lower emission rate. In contrast, the emission of H S from the water surfaces showed a reversed diurnal cycle, with peak emissions occurring before dawn (Figure 6). A precipitous decrease of almost three orders of magnitude i n the emission of HoS after sunrise suggests that thermal stratification and/or light-related removafprocesses in the water column may be controlling its release during the day. Although the diel patterns of H S emission from the water surface and the soil surface over the Disticlis spicata are reversed (Figure 6), the overall (integrated) emission rate is about the same (60 and 56 n% S n r h r , respectively). Integrated emission rates of D M S were also similar from the two different surfaces, 6.8 and 6.2 /xg S n r h r , respectively. Greater than 90% of the D M S emission from the J5. spicata/soil surface occurred between the hours of 09:00 and 20:00. Possible effects of plant metabolic effects were investigated i n a later experiment over the D . spicata/water surface. Two adjacent chambers were suspended on the water surface over a highly vegetated site and a sparsely vegetated site. Again, the H j S emissions peaked before dawn, and D M S emissions peaked i n the early afternoon. The ranges of emission rates of D M S and H S measured from these sites are shown in Table II. H S emissions are higher from the unvegetated site than the vegetated site, whereas D M S emissions are higher from the vegetated site and almost undetectable from the unvegetated site. This effect suggests that release of D M S may be a result of metabolic processes i n the D . spicata. while the release of H S is related to sediment processes, and is inhibited by the oxic metabolism of the plant community, i n a similar way to £. alterniflora. However, it is interesting that D M S P , the precursor of D M S i n Spartina species, has not been found i n D . spicata (£). It is possible that other similar compounds may function i n the same role. Further study is necessary. The general variability found within these study sites, and the different patterns found i n emissions data at the individual sampling locations, clearly demonstrate the complexity of processes governing the release of biogenic sulfur gases. It is evident that with our current understanding of these processes and their spatial extent, it is extremely difficult to estimate the contribution of biogenic sulfur to the atmosphere. It is clear from the data presented here, however, that the emissions patterns observed i n wetlands can be explained by considering the effects of tide, insolation and temperature on the metabolisms of both soilbacteria and macrophytes. Even in the simplest cases, comprehensive emission measurements are necessary i f a meaningful flux calculation is to be made. This can only be achieved by integrating the measurements over the relevant cycle, i.e. tidal (in the case of H S from coastal environments), diel (in the case of D M S , C S and D M D S from a l l locations and H S from non-tidal locations), and seasonal (temperature effects and water coverage effects). In addition, the effect of spatial variability, i.e. the effects of changing vegetation coverage and/or soil inundation need also be considered within some ecosystems. For these reasons, we do not attempt to attempt to average our emissions data, and for the purpose of flux extrapolation, use only the sites that have sufficient emissions 2

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data (8,2). Most of the emissions data available in the literature was obtained within & alterniflora marshes, and hence reflect the complexity of this ecosystem. Our data set extends the available emissions data to less complex systems, and at the same time lowers our estimation of the biogenic contribution to atmospheric sulfur loading. Even our highest estimate of biogenic emissions, that of

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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Figure 6. D i u r n a l variation i n the emissions of H S and D M S from a soil surface and a water surface in a D . spicata marsh, Merritt Island, Florida.

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reference 9. from sand within S. alterniflora (total 96 /*g S n r h r gives a flux of only 5 x M r g S y r when extrapolated to Florida's saline wetland coverage (6 x 10* m , ref. 12), which is most likely an overestimate due to the much lower emission rates measured from the other ecosystems ( H ) . This flux is two orders of magnitude lower than the anthropogenic S 0 emissions from Florida (14). Extrapolating further to the total area of salt marshes i n the world (3.8 x 10* m ) gives a annual flux of only 0.32 T g S to the atmosphere, two orders of magnitude less than the flux of D M S calculated from the surface oceans (1). The results of deposition studies using H S are summarized i n Table III. The sparsity of the data reflects the problems of conducting this type of experiment. The emission rates shown are the values measured immediately beltore and after making deposition measurements, and are used to calculate the deposition rate. It is clear in the case of the seawater surface that changes in natural emissions complicate the study to such an extent that interpretation is impossible. Furthermore, it should be noted that the nature of enclosure designs provides elevated concentrations of emitted gaseous species, and it is likely that the measured emission rates already include a depositional component. The concentration of sulfur species added to the chamber in these studies is comparable to that already present, and the actual deposition rates would probably be higher at ambient reduced sulfur levels. 1

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Table II. Variation in Biogenic D M S and H S Emissions from a Disticlis spicata Marsh, Merritt Island, Florida, Jan 30 - Feb 1,1986 Units of /ig S n r h r 2

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0.39 - 21 1.2 -125

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Table III. Deposition of H S to Various Substrates. The Number of Measurements is Shown in Parentheses 2

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Dry Inland Lawn Pool in £ . jamaicense Soil in £ . jamaicense Sea Surface (Flamingo) Mudflat (Rookery Bay) Soil in A . g e r m i n g Soilinl.rQgmerianys Soil in I. roemerianus

0.15 (2) 1.32 (2) 0.70 (2) 1.20 (2) 1.66 (2) 1.80(2} 0.87(4) 0.93 (3)

Loss to Surface (%) 100 (2) 75 (1) 66 (2) 28,45 & -16 56 (1) 58(2) 58(4) 59 (4)

* April, 1985 ** May, 1985

Saltzman and Cooper; Biogenic Sulfur in the Environment ACS Symposium Series; American Chemical Society: Washington, DC, 1989.

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All of the surfaces where this study was possible showed uptake of H S. Complete loss of added H S was found at an inland sandy lawn, and greater than 50% loss was measured at all wetland sites. Complete recovery of both H S and DMS was obtained when the experiment was repeated on a Teflon sheet, ruling out losses to the chamber walls. H S deposition velocities calculated from this data range from 0.004 to greater than 0.021 cm s" (2), in agreement with earlier laboratory studies (12). Similar results were found for DMS deposition, although greater natural variability at all sites makes the measurements largely unquantifiable. These results suggest that wetland soils, while emitting relatively low levels of reduced sulfur compounds, also have the potential to remove the same reduced sulfur compounds from the atmosphere at times of elevated concentration. 2

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Summary Patterns of biogenic sulfur emissions show components due to tidal, diel, spatial, and seasonal effects. Emissions of DMS and H S show different temporal patterns, reflecting these various components, and also reflecting the different metabolic effects leading to their formation. DMS and H S emissions are 2-3 orders of magnitude greater than those of CSkj and DMDS. Production of H^S appears to occur in anoxic sediments, with the majority of the emission relating to the effects of tidal coverage on either the flushing of porewater or the depth of coverage. Production of DMS appears to be related to the metabolism of either macrophytes or planktonic algae. Emissions of DMS are related to the diel nature of the production processes in the former case. Calculation of a time-averaged flux clearly requires comprehensive emission measurements over an extended time period, allowing integration over the relevant (tidal, diel or annual) cycles. The low emission rates measured in this study indicate that salt marshes are a minor source of sulfur to the global atmosphere. Furthermore, our measurement of deposition rates show the potential for losses to the same soil surfaces at times of elevated atmospheric concentration. 2

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Literature Cited 1. Andreae, M . O. In The Biogeochemical Cycling of Sulfur and Nitrogen in the Remote Atmosphere; Galloway, J. N.; Charlson. R. J.: Andreae, M . O.; Rodhe, H., Eds.; NATO ASI Series; Reidel, 1985. 2. Adams, D. F.; Farwell, S. O. In Environmental Impact of Natural Emissions; Aneja, V. P., Ed.; APCA, 1984. 3. Jorgensen, B. B.; Okholm-Hansen, B. Atmos. Environ. 1985, 19, 1737-49. 4. Aneja, V. P. In Environmental Impact of Natural Emissions; Aneja. V. P., Ed.; APCA, 1984. 5. Steudler, P. A.; Peterson, B. J. Atmos. Environ. 1985, 19, 1411-16. 6. Dacey, J. W. H.; King, G. M.; Wakeham, S. G. Nature 1987, 330, 643-45. 7. Adams, D. F.; Farwell, S. O.; Robinson, E.; Pack, M . R. EPRI Report EA-1516, Palo Alto, CA, 1980.

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8. Cooper, D. J. M.S. Thesis, University of Miami, Florida, 1986. 9. Cooper, D. J.; de Mello, W. Z.; Cooper, W. J.; Zika, R. G.; Saltzman, E. S.; Prospero, J. M.; Savoie, D. L. Atmos. Environ. 1987, 21, 7-12. 10. de Mello, W. Z.; Cooper, D. J.; Cooper, W. J.; Saltzman, E. S.; Zika, R. G.; Savoie, D. L.; Prospero, J. M. Atmos. Environ. 1987, 21, 987-90.

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11. Cooper, W. J.; Cooper, D. J.; Saltzman, E . S.; de Mello, W. Z.; Savoie, D. L.; Zika, R. G.; Prospero, J. M. Atmos. Environ. 1987, 21, 1491-95. 12. Natusch, D. F. S.; Klonis, H. B.; Axelrod, H. D.; Teck, R. J.; Lodge, J. P., Jr. Anal. Chem. 1972, 44, 2067-70. 13. U . S. Fish and Wildlife Service Petersburg, Florida, 1984.

National Wetlands Inventory, St.

14. Edgerton, E. S. M.S. Thesis, University of Florida, Gainesville, 1981. 15. Judeikis, H. S.; Wren, A. G. Atmos. Environ. 1977, 11, 1221-24. RECEIVED August 11, 1988

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