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Journal of Sedimentary Research, 2018, v. 88, 679–695
Research Article
DOI: http://dx.doi.org/10.2110/jsr.2018.35
STUDY OF AN ORDOVICIAN CARBONATE WITH ALTERNATING DOLOMITE–CALCITE LAMINATIONS
AND ITS IMPLICATION FOR CATALYTIC EFFECTS OF MICROBES ON THE FORMATION OF
SEDIMENTARY DOLOMITE
YIHANG FANG AND HUIFANG XU
NASA Astrobiology Institute, Department of Geoscience, University of Wisconsin–Madison, Madison, Wisconsin 53706, U.S.A.
e-mail: [email protected]
ABSTRACT: The mechanism of sedimentary dolomite formation has puzzled the geology community for more than acentury. Within the past several years, successful synthesis of disordered dolomite under ambient conditions usingabiotic materials derived from microbial organisms such as polysaccharides and exopolymeric substances (EPS) hasbeen reported. The success in laboratory experiments has driven this study to find evidence in natural ancientcarbonate samples that correlate dolomite formation and the presence of organic matter. A micro-laminatedcarbonate with alternating dolomite–calcite layers from the mid-Lower Ordovician St. Paul Group from the CentralAppalachians in southern Pennsylvania was examined using optical microscopes, X-ray diffraction (XRD), scanningelectron microscopy (SEM) with X-ray energy-dispersive spectroscopy, electron microprobe analysis (EPMA),scanning transmission electron microscopy (STEM), laser-induced fluorescence (LIF) imaging, short-wave infrared(SWIR) imaging, and X-ray fluorescence (XRF) imaging. The sample is composed mainly of two types of layers.Dolomite-dominated layers are darker in color, generally thinner, and contain detrital minerals such as quartz andfeldspar. In contrast, calcite-dominated layers are lighter in color, thicker, and contain less detrital mineralssupported by microcrystalline calcite matrix. In situ XRD, LIF, XRF, and SWIR results show that organic remnantsare enriched in the dolomite layers. The coincided spatial distribution confirmed a positive correlation betweendolomite and organic matter, and hence provide evidence for microbial-EPS-catalyzed formation of sedimentarydolomite.
INTRODUCTION
Dolomite is one of the most common minerals in sedimentary rocks,
ranging from Archean to Holocene. Although dolomite is common in the
ancient rock record, formation of dolomite is scarce in modern sedimentary
settings (Hardie 1987; Warren 2000). Despite its widespread distribution
and economic value as water aquifers and petroleum reservoirs (Bereskin
et al. 2004; Braithwaite et al. 2004; Sonnenberg et al. 2011;), the formation
mechanism of sedimentary dolomite is still not well understood and is
known as the ‘‘dolomite problem’’ (Van Tuyl 1914; Zengler et al. 1980;
Tucker and Wright 1990; Land 1998; Kaczmarek et al. 2017; Petrash et al.
2017). Sedimentary dolomite is assumed to form in an environment with a
high Mg:Ca ratio such as seawater, some lacustrine water, and basinal
brines (Machel 2004). Synthesizing experiments with oversaturated
magnesium solution and durations of 32 years have shown that formation
of dolomite is not solely controlled by Mg/Ca ratio and salinity (Land
1998). The alternating Ca and Mg layers along the c axis in the dolomite
structure reduces the symmetry from R3c as in calcite and magnesite to R3.
However, many dolomites formed in modern settings and those
synthesized in the laboratory under ambient conditions are weakly ordered
or disordered, as evidenced by ‘‘b’’ reflections in powder XRD patterns that
are broad and diffuse, or completely lacking (Graf and Goldsmith 1956;
Gaines 1977). We define ‘‘disordered dolomite’’ as used here to be a Ca-
Mg carbonate with near dolomite stoichiometry but no evidence of cation
ordering and therefore belonging to the R3c space group. Disordered
dolomite has been termed ‘‘very high-magnesium calcite’’ by Gregg et al.
(2015).
Fluctuation of precipitation conditions, such as pH, and/or a sequence of
solvent-mediated processes, facilitates the formation of disordered
dolomite (Libermann 1967; Deelman 1999). Syntheses of Ca-Mg
carbonates in anhydrous solvent show that Mg/Ca partitioning coefficient
in carbonate crystallized from an anhydrous solvent is about an order of
magnitude higher than that crystallized from an aqueous solution (Xu et al.
2013). Studies point out the positive correlation between the presence of
microbial activity and sedimentary dolomite formation (Hardie 1987;
Compton 1988; Baltzer et al. 1994; Mazzullo et al. 1995; Vasconcelos and
McKenzie 1997; Warren 2000; Van Lith et al. 2002, 2003; Wright and
Wacey 2005; Zhang et al. 2015). Another major aspect of the dolomite
problem pertains to the apparent difficulty with magnesium dehydration
(Xu et al. 2013; Zhang et al. 2013; Gregg et al. 2015; Shen et al. 2015;
Kaczmarek and Thornton 2017). The affinity of water and magnesium
create an energy barrier for the formation of dolomite so that it is hard to
form in a low-temperature setting (Lippmann 1973; Berner 1975; Reddy
and Nancollas 1976; Reddy 1977; Mucci and Morse 1983; Oomori and
Kitano 1987; Falini et al. 1996; Davis et al. 2000; Raz et al. 2000; de
Leeuw and Parker 2001; Higgins and Hu 2005; Stephenson et al. 2008;
Astilleros et al. 2010). Recent studies suggested that dolomitization
requires the presence of dissolved sulfide or polysaccharides as a catalyst
Published Online: June 2018Copyright � 2018, SEPM (Society for Sedimentary Geology) 1527-1404/18/088-679/$03.00
since dissolved sulfide or polysaccharides could be adsorbed onto the
crystal (104) surface, weaken the bond between Mg2þ and surface water,
and thereby lower the energy threshold to form dolomite (Zhang et al.
2012a, 2012b; Shen et al. 2014, 2015; Zhang et al. 2015).
In Mesozoic, Paleozoic, and Proterozoic carbonate sedimentary
deposits, alternating dolomitic and calcitic layers or beds, such as ribbon
rock and stromatolites, are found globally (Sander 1936; Sando 1957;
Fischer 1964; Aitken 1967; Laporte 1967; Matter 1967; Gebelein and
Hoffman 1973; Wanless 1979; Read 1980; Demicco 1983; Knoll and
Swett 1990; Li et al. 2016). The presence of mudcracks, ripple marks, and
bioturbation indicate that these alternating layers were formed in an
intertidal environment (Aitken 1967; Gebelein and Hoffman 1973;
Demicco 1983). Similar textures are observed in Holocene sedimentary
rocks in subtropical and tropical shallow environments ( Logan 1961;
Neumann et al. 1969; Shinn et al. 1969; Gebelein 1972; Gebelein and
Hoffman 1973) and in rare cases found in hypersaline lakes with high
microbial activity without significant grazing (Last et al. 2010, 2012). Our
study is to provide connection between the microbial biomass and dolomite
in the Ordovician rock record. This model of exopolymeric-substances
(EPS)-catalyzed dolomitization explains why a much wider range of
sedimentary dolomite formation on interbedded limestone–dolomite is
common in the ancient sedimentary record (Sando 1957; Aitken 1967;
Matter 1967; Gebelein and Hoffman 1973; Wanless 1979; Read 1980;
Demicco 1983; Hoffman et al. 1998; Hoffman 2011; Liu et al. 2014).
SAMPLES AND GEOLOGIC SETTING
The studied sample was collected from the Middle–Lower Ordovician
St. Paul Group (Row Park and New Market Formation) from the
Massanutten Synclinorium, located in the Central Appalachians in
southern Pennsylvania (Mitchell 1985). The St. Paul Group is overlain
by the Chambersburg Formation, which grades upward into the
Martinsburg Formation. The sample was formed in the upper supratidal
to intertidal setting with presence of mudcracks (Hardie and Ginsburg
1977; Mitchell 1985). With evidence of a shallow environment and no
obvious signs of bioturbation, the sample was assumed to be deposited in
an environment colonized by microbial mats (Mitchell 1985). Modern
analogues of such environments include Andros Island tidal flats and the
Great Bahama Bank (Mitchell 1985). The thin laminae are composed of
distinctive black laminae and gray laminae with average thickness around
0.2 mm (Fig. 1 A, B). Rhombohedral dolomite crystals are exclusively
concentrated within the dark laminae. Mudcracks, scour depressions, and
cryptomicrobial laminates are present in the sample. Similar to this
Ordovician carbonate, Cambrian ribbon rocks are composed of two sets of
beds. Dolomite-dominated beds are yellowish and tan in color due to
oxidation of trace Fe(II) in dolomite layers, while grayish beds with relief
are dominated by calcite. The major difference between Ordovician
carbonate and Cambrian ribbon rock are layer thickness. While the
Ordovician rock has sub-millimeter average thickness, the Cambrian
ribbon rock has thicknesses on the centimeter scale. Mudcracks cut straight
through light layers but are distorted in dark layers (Demicco 1983).
METHODS
XRD analyses were carried out using a Rigaku Rapid II X-ray
diffraction system (Mo Ka radiation). Samples were cut made into thin
chips ~ 100 lm or less thick and glued onto glass capillaries. A 2-D
image-plate detector was used for collecting the diffraction data. The 2-D
images were integrated through Rigaku’s 2DP software and formulated into
traditional 2h vs. intensity patterns using the Jade 9 program. Mineral
percentage and dolomite unit-cell parameters were obtained from Rietveld
refinement using the Jade 9 program.
Average chemical compositions of the dolomite crystals and calcite
microcrystals were determined by electron-probe microanalysis (EPMA).
Elemental data were collected using a CAMECA SX51 instrument with
wavelength-dispersive spectrometers at 15 kV accelerating voltage, 10 nA
beam current, and ~ 3 lm3 interaction volume. A characterized dolomite
standard from Delight, Baltimore (49.43 mol% CaCO3, 50.48 mol%
MgCO3, and 0.09 mol% FeCO3) as used for the EPMA analyses (Zhang
2010). Scanning-electron-microscope (SEM) observations were conducted
using a Hitachi S3400.
A spherical aberration-corrected field-emission gun-scanning transmis-
sion electron microscope (FEG-STEM) (Titan 80-200) operating at 200 kV
at the University of Wisconsin–Madison was used to examine the
microstructures and interface structure of the dolomite-dominated and
magnesian-calcite-dominated lamellae. This instrument has the ability to
image single atoms with ~ 0.08 nm spatial resolution in STEM mode.
Probe current was set at 24.5 pA, and Z-contrast images were collected
with a high-angle annular dark field (HAADF) detector at angle ranges
from 54 to 270 mrad (corresponding to 7.5 (1/A) to 38.2 (1/A) in
reciprocal space). The STEM can be viewed as an inverted conventional
TEM (CTEM) (Kirkland 1998). In STEM, the bright-field (BF) detector
usually collects over a small disc of low-angle coherently scattered
electrons centered on the optical axis of the microscope, while the HAADF
detector collects over an annulus of high-angle incoherently scattered
electrons (Kirkland 1998; Nellist 2007). Intensity of the HAADF image is
strongly related to atomic number (Z) through the Z2 dependence of the
Rutherford scattering cross section. The Z-contrast image, an atomic
resolution HAADF image, can avoid multiple diffractions that commonly
occur in HRTEM and electron-diffraction modes that use elastic coherent
electrons. The BF image is expected to contain diffraction and strain
contrast that is not obvious in HAADF and Z-contrast images (Xu et al.
2014).
For near-infrared spectrum, short-wave infrared (SWIR) imaging was
obtained from a sisuCHEMA imaging station with a hyperspectral camera
(Specim Oy, Oulu, Finland). The light source was a line of quartz-halogen
lamps with a wavelength ranging from 900 nm to 2500 nm. The near-
infrared spectrum collected has both absorbance mode and reflectance
mode. Images were processed using hyperspectrum software developed by
Middleton Spectral Vision, Wisconsin, USA.
Laser-induced-fluorescence (LIF) images are acquired from a macro-
Phor Hyperspectral Fluorescence Imaging System (Middleton Spectral
Vision). The excitation source of the LIF was a 488-nm-wavelength laser.
An M4 Tornado micro-XRF system (Bruker Nano Analytics, Berlin,
Germany) was used to measure the spatial distribution of elements in
submillimeter scale. The measurements were done with a 20 lm spot size
using a molybdenum X-ray source.
RESULTS
Light and dark laminae in the sample examined are prominent under
plane-polarized light (Fig. 2). Horizontal cracks parallel to bedding can be
observed. Most of the euhedral dolomite crystals are concentrated in the
dark layers. Euhedral dolomite crystals, with diameters less than 100 lm,
are surrounded by dark micritic calcite matrix. In contrast, dolomite
crystals are rare, anhedral, and much smaller in the light layers. Many
dolomite crystals are found with microcrystalline calcite inclusions. Small
euhedral pyrite crystals are also occasionally present in the dark laminae.
Some of the euhedral pyrite crystals show subtle crystal zoning, which is a
feature frequently observed in Paleoproterozoic stromatolites (Zentmyer et
al. 2011). While most laminae are planar, some dark laminae are crinkled
and distorted by folding that is interpreted to have occurred during early
compaction; such behavior is consistent with a higher organic concentra-
tion in these layers during deposition and compaction (Sone and Zoback
2013).
Y. FANG AND H. XU680 J S R
Through 42 sets of X-ray diffraction experiments, the sample shows
consistent patterns (Fig. 3). Calcite is identified using ‘‘a’’ reflections
including but not limited to (104), (110), and (006). Comparing with
calcite (space groups R3c), dolomite (space group R3) has a series of extra
diffraction peaks, ‘‘b’’ reflections that violate c glide in calcite R3c. In order
to quantify mineral assemblages within each lamina, the Rietveld
refinement method (MDI Jade 9.0 software) was applied for identified
phases based on fitted XRD profiles. Consistent with the euhedral crystal
distribution from optical images, dolomite is more abundant in the dark
laminae and calcite is more abundant in the light laminae. Dolomite
content in the dark layers is concentrated in ranges from 19.1% to 44.5%
and decrease to less than 15% in most of the light layers. (Table 1, Fig. 4).
FIG. 1.—T-3024 hand sample and ribbon rock from outcrop. A) Back view of T-3024 hand specimen has very thin laminae and trough crossbedding. B) Front view of the
Ordovician carbonate hand sample in Part A. Mudcrack is preserved on the right side of the rock. C) Outcrop image of ribbon rock from Upper Cambrian Conococheague
Formation, Central Appalachians with a US 25¢ coin for scale.
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 681
Other than dolomite enrichment in dark layers, detrital minerals such as
quartz, orthoclase, and trace amounts of chlorite are also enriched in dark
laminae with an average of ~ 29.3% detrital minerals, while light layers
only contain ~ 16.7% detrital minerals on average. Appearance of the
(015) reflection suggests that dolomite in this sample is ordered. The
position of the (104) reflection for dolomite at 2.897(4) A in the dark layers
corresponded to 45 6 1.9% MgCO3 (Reeder and Sheppard 1984; Zhang et
al. 2010).
Scanning electron microscope (SEM) reveals that dark laminae with
cracks cutting through the dark layers are more porous than the adjacent
light layers. Euhedral dolomite in the micrite matrix is visible in
backscattered electron (BSE) images (Fig. 5). BSE images show that the
darker dolomite-rich laminae (~ 0.2 mm) are significantly thinner than
lighter calcite-dominated layers (~ 1.0 mm). BSE imagery and X-ray
energy-dispersive spectra (EDS) indicate that dark layers are composed
mainly of dolomite with calcite inclusions, quartz, orthoclase, pyrite,
chlorite, rutile, and apatite. Results of electron-probe microanalysis
(EPMA) indicate that the average composition of dolomite and calcite
are Ca1.13(Mg0.85Fe0.02)(CO3)2 and Ca1.96(Mg0.04)(CO3)2, respectively.
MgCO3 percentages in dolomite range from 38.5% to 47%, with a mode
around 44% to 45.5%. EPMA further indicates different chemical
composition in the rim and core with an average composition of
Ca1.09(Mg0.90Fe0.01)(CO3)2 in cores and Ca1.12(Mg0.82Fe0.0.06)(CO3)2 in
rims (Table 2, Fig. 6). This variation in Fe content is visible in BSE images
of the dolomite crystals (Fig. 5F).
An electron-diffraction pattern (inserted in the lower-left corner of Fig.
7A) obtained with the scanning transmission electron microscopic (STEM)
image shows strong ‘‘b’’ reflections indicating that dolomite crystals are
well ordered (Fig. 7C). Appearance of (003), (101), (10), and (105)
diffraction spots indicate an ordered dolomite with alternating Ca2þ and
Mg2þ cation layers. Bright-field images show nano-precipitates in dolomite
crystal along ~ (001) and (104) traces (Fig. 7A). Nano-precipitates are
nanometer-scale features precipitated in a certain direction out from the
Ca-rich dolomite matrix. The nano-precipitates are Mg-calcite nano-
precipitates in the dolomite matrix, which is a metastable product during
ordering the Ca-rich dolomite (Shen et al. 2013, 2014). Shen et al. (2013)
has shown that Ca-rich lamellae are parallel to (104) or (110) planes in
order to reduce interfacial strain with host dolomite. This phenomenon has
been observed in Mesoproterozoic (Shen et al. 2014) and Ordovician (Shen
et al. 2013) dolomite. Similar metastable nano-precipitates also occur in
orthopyroxenes as Guinier-Preston zones (Champness and Lorimer 1973;
Xu et al. 2014). Strain contrast in the bright-field image is resulted from
the interface between the precipitate and the dolomite matrix.
Profiling in a Z-contrast image along the (102) trace shows that the
matrix area has periodic Ca-Mg distribution, which suggests that it is
ordered dolomite, while the precipitates are dominated by consecutive Ca
peaks, which shows the precipitates are Ca-rich with decreased cation
ordering (Fig. 7B). Similar magnesian-calcite nano-precipitates were
observed in Ordovician dolomites from the Platteville Formation, western
Wisconsin (Shen et al. 2013). Formation of these magnesian-calcite
precipitates could achieve a lower energy state by removing extra Ca2þ
from the dolomite matrix (Shen et al. 2014). Based on selected area fast-
Fourier transform (FFT) patterns, the matrix area shows clear ‘‘b’’
reflections that indicate high ordering, whereas along the precipitates
‘‘b’’ reflection peaks such as (003) and (105) are either absent or very
weak. The presence of the magnesian-calcite nano-precipitates explains a
phenomenon of ‘‘two dolomite phases’’ in sedimentary dolomite observed
by Drits et al. (2005) where excess-Ca dolomite typically has two phases
with different CaCO3%.
Micro-XRF data, especially Ca and Mg distribution, confirm the
oscillatory distribution of dolomite-dominated and calcite-dominated
laminae (Fig. 8). Ti, Al, and Si signatures come from detrital minerals
such as quartz, orthoclase, rutile, and hydrated silicates such as chlorite.
All of these detrital minerals are concentrated within the dolomite-
dominated laminae, as indicated by correlations among the elemental-
distribution maps. Fe likely substitutes for Mg in dolomite as Fe
distribution overlapped with Mg (Beran and Zemann 1977; Navrotsky et
FIG. 2.—Optical images of sample T-3024. A) Plane-polarized-light and B) cross-polarized-light images of the Ordovician carbonate. Planar laminae with alternating layers
between planar (euhedral) dolomite-dominated layers and microcrystalline calcite layers. Labels in yellow indicate dolomite-dominated layers (labeled D) and calcite-
dominated layers (labeled C).
Y. FANG AND H. XU682 J S R
al. 1999). Fe also is concentrated in pyrite, and the S signature likely results
from the presence of both pyrite and organic materials such as kerogen.
Short-wave infrared (SWIR) spectra show clear dark and light laminae
(Fig. 9A). The SWIR spectrum is presented in reflectance mode in
accordance with previous literature (Gaffey 1987; Morris et al. 2011). In
reflectance mode, spectrum damping indicates absorbance of near-infrared
by the sample (Fig. 9B). In the case for this particular Ordovician
carbonate sample, the absorbance damps have a wavelength around 1947
nm, and 2325 nm for dark layers and 2335 nm for light layers (Fig. 9C).
These absorbance wavelengths indicate the appearance of OH and
carbonate groups (Gaffey 1987; Morris et al. 2011). Accordingly, the
dark layers remain dark in the reflectance mode because darker layers
FIG. 3.—XRD patterns for dark layers and light
layers of Ordovician carbonate using Mo-Kavalue. D, dolomite; C, calcite; Or, orthoclase; Ch,
chlorite. Presence of (01) peak means that
dolomite in this sample is ordered. Dolomite is
scarce or even absent in light layers.
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 683
likely contain abundant hydroxylated organic matter. The 2325 nm
absorbance in dark layers and 2335 nm absorbance in light layers
correspond to characteristic absorbance wavelengths of dolomite and
calcite, respectively (Gaffey 1987). Moreover, using hyperspectral
imaging, the variable spatial concentration of OH and CO32– can be
shown that using 1960 nm and 2320 nm wavelength images in absorbance
mode as reflectance mode will contain background bias. The spatial
distribution of OH is highly correlated with dolomite, based on near-
infrared images using 1960 nm and 2320 nm (Fig. 9D, E).
Based on a previous study, LIF likely detects organic materials in solid
samples (Milori et al. 2006). LIF data on the Ordovician sample show the
same oscillating pattern as do other methods. Intensity of fluorescence in
dark laminae is two to three times higher than fluorescence intensity in
light laminae. Appearance of a fairly broad peak across 500 nm to 750 nm
with a maximum around 550 nm indicates the presence of organic
remnants in the sample (Cecchi et al. 2000) (Fig. 10). The sharp, narrow
peaks at around 650 nm and scattered peaks from 575 nm to 650 nm are
fluorescence due to superimposed dolomite-crystal signals on organic-
material signals (Cecchi et al. 2000). Fluorescence results show that
dolomite and organic matter are highly correlated and concentrated within
the same layers.
DISCUSSION
Understanding the mechanisms and environments of dolomite formation
has been challenging due to the difficulty of abiotically synthesizing
dolomite in the laboratory at low temperature (Land 1998; Gregg et al.
2015) and scarcity of modern examples (Hardie 1987; Warren 2000;
Machel 2004). The struggle to synthesize dolomite, the inability to explain
the formation mechanism of dolomite, and the discrepancy between
abundant ancient record and limited modern dolomite has been referred to
as the ‘‘dolomite problem’’ (Zengler et al. 1980; Machel and Mountjoy
1986; Hardie 1987; Burns et al. 2000; Mazzullo 2000; Warren 2000).
Various hypotheses have been proposed to answer the ‘‘dolomite problem’’
(Zengler et al. 1980; Hardie 1987; Mazzullo 2000; Warren 2000;
Kaczmarek et al. 2017).
The structural differences between dolomite (R3) and calcite (R3c) come
from alternating layers of Ca2þ and Mg2þ and the resulting lower symmetry
in ordered dolomite. Calcite (R3c) and stoichiometric dolomite (R3)
compose a continuous solid solution series with increasing MgCO3 with
Mg-bearing calcite (R3c) and disordered dolomite (R3c) as metastable
phases (Gregg et al. 2015). From previous synthesizing experiments,
aragonite is the kinetically preferred product from a high Mg/Ca solution at
elevated temperature (Kitano 1962; Rushdi et al. 1992; Morse et al. 1997).
Therefore it is believed that Mg2þ ions absorbed on crystal surfaces will
inhibit growth of Ca-Mg carbonate and shift the system towards aragonite
formation (Lippmann 1973; Berner 1975; Reddy and Nancollas 1976;
Reddy 1977; Mucci and Morse 1983; Oomori and Kitano 1987; Falini et
al. 1996; Davis et al. 2000; Raz et al. 2000; de Leeuw and Parker 2001;
Higgins and Hu 2005; Stephenson et al. 2008; Astilleros et al. 2010).
Previous studies suggest that the strong affinity of Mg2þ for water and the
hydration sphere around Mg2þ inhibits Mg2þ from entering the crystal
lattice and therefore impedes growth of Mg-bearing calcite and dolomite
(Lippmann 1973; Mucci and Morse 1983; Davis et al. 2000; Raz et al.
2000; de Leeuw and Parker 2001; Higgins and Hu 2005; Stephenson et al.
2008; Astilleros et al. 2010; Zhang et al. 2012b). More recent anhydrous
solvent synthesis shows that hydrated Mg2þ on crystal growth surfaces,
which prohibits the incorporation of CO32– into the carbonates, is the
actual hindering step rather than the inability of hydrated Mg2þ to enter the
crystal lattice (Xu et al. 2013). Therefore, dehydration of Mg2þ ions
residing on crystal surfaces is the key step in dolomite formation.
On the other hand, polysaccharides, a major component of extracellular
polymeric substances (EPS), likely promote the growth of disordered
TABLE 1.—Weight percentages of minerals for individual dark or light
laminae from Rietveld analyses of the XRD results. L stands for light
layers and D stands for dark layers.
Dolomite Calcite Quartz Orthoclase Total
1L 9.6 71.2 1.7 17.5 100.0
2D 38.8 36.2 2.8 22.2 100.0
3L 4.0 78.8 3.4 13.8 100.0
4D 47.2 35.8 2.2 14.8 100.0
5L 19.0 71.6 1.1 8.3 100.0
6D 45.9 34.6 3.1 16.4 100.0
7D 8.3 40.5 8.2 43.0 100.0
8L 10.1 76.7 1.7 11.4 99.9
9L 3.5 78.8 3.5 13.9 99.7
10D 41.2 35.9 3.8 19.1 100.0
11L 2.8 85.7 1.6 9.8 99.9
12D 31.4 31.7 2.5 34.4 100.0
13L 2.7 83.2 2.2 11.8 99.9
14D 34.3 16.0 1.0 48.7 100.0
15L 3.0 81.0 3.0 12.7 99.7
16D 11.4 56.9 1.9 29.9 100.1
17L 2.5 86.0 1.3 10.1 99.9
18D 23.3 50.1 3.1 23.4 99.9
19D 38.4 36.3 2.1 23.2 100.0
20L 14.9 71.3 0.8 12.9 99.9
21D 17.4 45.1 5.0 32.4 99.9
22L 2.2 73.2 5.8 18.8 100.0
23D 40.4 23.5 2.7 33.4 100.0
24D 40.2 44.1 1.8 13.9 100.0
25D 39.3 37.1 3.0 20.6 100.0
26L 17.9 62.2 1.6 18.3 100.0
27D 22.3 47.6 3.1 27.0 100.0
28L 14.7 68.5 1.9 14.9 100.0
29D 31.6 52.2 2.3 13.9 100.0
30D 30.8 37.0 3.2 29.0 100.0
31L 4.0 65.2 5.8 25.0 100.0
32D 50.0 23.8 2.8 23.4 100.0
FIG. 4.—Ternary plot of minerals (wt. %) calculated using Rietveld analysis
method. Dolomite is dominant in the dark layers, whereas calcite is dominant in the
light layers.
Y. FANG AND H. XU684 J S R
FIG. 5.—BSE images of the Ordovician carbonate. A) Overview of multiple layers with clearly defined dolomite-dominated layers and microcrystalline calcite layers. B)
Close-up of layer 1 with euhedral dolomite crystal. Bright spots are mostly pyrite with a small amount of rutile and trace apatite. C) High-magnification view of layer 1 with a
thin horizontal fracture going through it. Minerals are distributed along the fracture with a fuzzy dolomite grain boundary. D) Image of calcite-dominated layer 2 with few
euhedral dolomite crystals in a microcrystalline calcite matrix. Pyrite and rutile are absent in layer 2. E) Part of layer 3 that is composed of two thin layers of euhedral
dolomite. Pyrite, apatite, and a trace amount of mica follow the orientation of the dolomite layers. F) Close-up view of a dolomite crystal. Mineral inclusions and vacancies in
the dolomite are common. Color differences in the rim and core of dolomite results from differences in CaCO3% and FeCO3% of the crystals.
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 685
dolomite (Zhang et al. 2012), promote calcite growth, inhibit aragonite
formation (Kawano and Hwang 2011), and impact calcite morphology
during precipitation (Braissant et al. 2003). Atomic simulation shows that
surface-attached trimannose can effectively lower the dehydration energy
of surface water from its hydrophobic functional group (Shen et al. 2015).
Zhang et al. (2015) used non-metabolizing consortium biomass and bound
EPS, derived from the consortium biomass, as a catalyst and successfully
synthesized disordered dolomite at low temperature. Roberts et al. (2013)
reported bioinorganic synthesis of dolomite at low temperature with
carboxylated polystyrene spheres. However, we reinterpret the results from
Roberts et al. (2013) as showing no sign of dolomite, as we believe that
they misinterpreted the aragonite (002) peak as the dolomite (104) in their
XRD pattern, the aragonite [3 1 14] zone-axis for the dolomite [2 1 1]
zone-axis in their electron diffraction pattern, and CaO nano-crystals
resulted from electron-beam-induced decomposition of aragonite as
dolomite in their HRTEM image.
The Ordovician carbonate sample studied here is composed of dolomite-
dominated (dark) and calcite-dominated (light) laminae. Based on optical
images, euhedral (planar) dolomite crystals in the dolomite-dominated
layers suggest that the dolomite formed during early diagenesis (Sibley and
Gregg 1987) with growth temperature lower than 508C (Gregg and Sibley
1984; Warren 2000; Ferry et al. 2011). The chemical zoning in optics and
BSE images are the result of variation of Fe and Mn in the rim and core
with less Fe in the core (Choquette 1980; Fairchild 1983; Gawthorpe 1987;
Warren 2000). EDS and EPMA also show dolomite crystals have excess
CaCO3, but XRD and electron-diffraction patterns obtained from TEM
indicate that the dolomite crystals are well ordered. Z-contrast images from
STEM show that Ca-rich precipitates occur locally in the dolomite matrix
(Fig. 7). Because intensity depends on atomic number and thickness, in a
sample of consistent thickness the change in intensity indicates a change in
atomic number. Therefore, the increase in intensity in some Mg2þ sites
along the [104] direction indicates that extra Ca atoms are substituted into
the Mg2þ positions. These substitutions destroy the Ca2þ-Mg2þ repetition
in ideal dolomite, and result in Ca-rich precipitates (Shen et al. 2013,
2014). An order parameter was proposed to describe the ordering state of
stoichiometric dolomite (Reeder and Wenk 1983; Antao et al. 2004)
s ¼ 2xCa � 1; or s ¼ 2xMg � 1 ð1Þ
where xCa and xMg are the occupancies of Ca at Ca site, and Mg in Mg site.
When xCa ¼ 1, s ¼ 1 complete order dolomite, whereas xCa ¼ 0.5, s ¼ 0
complete disordered dolomite with R3c symmetry. Using Z-contrast image
simulation and the relative intensity of cations along the [104] direction,
TABLE 2.—Electron-probe microanalysis (EPMA) data of T-3024 in oxide percent and normalized values according to dolomite stoichiometry. Mole %
of Cc ¼ CaCO3 %.
Point No.
Oxide % Normalized value
Mole % of CcCaO MgO FeO MnO Total Ca Mg Fe Mn Total
T3-024-1 1 Core 32.167 18.529 0.470 0.000 98.669 1.106 0.887 0.007 0.000 2.000 55.33
2 Rim 31.456 18.592 0.318 0.034 98.13 1.095 0.901 0.004 0.000 2.000 54.74
T3-024-2 3 Core 31.681 19.168 0.597 0.063 98.991 1.081 0.910 0.008 0.001 2.000 54.05
4 Rim 32.047 17.150 2.358 0.080 98.696 1.126 0.837 0.036 0.001 2.000 56.28
5 Core 31.340 19.175 0.673 0.000 98.753 1.076 0.915 0.009 0.000 2.000 53.77
6 Rim 32.762 18.170 0.495 0.017 98.827 1.125 0.868 0.007 0.000 2.000 56.24
T3-024-3 7 Core 31.998 17.858 1.384 0.080 98.626 1.114 0.865 0.020 0.001 2.000 55.69
8 Rim 32.245 18.079 1.749 0.029 99.207 1.109 0.866 0.025 0.000 2.000 55.46
9 Core 31.340 18.174 0.279 0.006 97.645 1.105 0.891 0.004 0.000 2.000 55.23
10 Rim 31.638 18.606 0.724 0.011 98.526 1.095 0.895 0.010 0.000 2.000 54.71
T3-024-4 11 Core 30.493 19.454 0.686 0.000 98.383 1.055 0.936 0.009 0.000 2.000 52.73
12 Rim 32.837 15.765 2.609 0.057 98.229 1.174 0.784 0.041 0.001 2.000 58.71
13 Core 31.344 19.184 0.406 0.000 98.587 1.077 0.917 0.006 0.000 2.000 53.84
14 Rim 31.084 16.492 2.938 0.034 97.774 1.124 0.830 0.045 0.001 2.000 56.23
15 Core 31.819 18.810 0.648 0.023 98.791 1.092 0.899 0.009 0.000 2.000 54.61
16 Rim 33.700 16.747 2.255 0.000 99.428 1.163 0.804 0.033 0.000 2.000 58.13
Average Core Average 31.523 18.794 0.643 0.022 98.556 1.088 0.903 0.009 0.000 2.000 54.49
Rim Average 32.221 17.45 1.681 0.033 98.602 1.127 0.848 0.025 0.000 2.000 56.31
FIG. 6.—Ternary (Ca–Mg–Fe) plot of EPMA
results. Compared to the core composition, the
rim generally has a higher amount of Fe2þ and
less Mg2þ and Ca2þ.
Y. FANG AND H. XU686 J S R
the ordering of these dolomites is shown to be close to s ¼ 0.9 (Fig. 11),
excluding the Ca-rich precipitates.
XRD results indicate that dolomite-dominated layers have significantly
larger quantities of detrital quartz and feldspar than the calcite-dominated
layers (Table 1). Previous studies have recognized the relationship between
microbial organisms and input of detrital minerals. Black (1933) observed
that an environment with periodical flooding would promote growth of
algal mat by providing materials and nutrition from continental weathering.
Baltzer et al. (1994) correlated distributions of dolomite with total organic
carbon in Holocene Ras Ghanada sediments. Hardie and Ginsburg (1977)
FIG. 7.—A) Bright-field (BF), B) Z-contrast
images and their corresponding fast Fourier
transform (FFT) (lower left) along [010] zone axis
of the Ordovician dolomite. Ca-rich precipitates
approximately parallel to (104) and subparallel to
(001). Linear feature in BF image likely come
from strain contrast between precipitates and
matrix. Nano-precipitates are brighter in Z-
contrast image such as the one above the dashed
(104) trace. FFT from precipitate a) shows
diffused and weak ‘‘b’’ reflections that indicate a
decrease in order state in the precipitate, whereas
an area without precipitate b) shows sharp ‘‘b’’
reflections and better resolution. The profile along
the (102) trace shows disorder and excess of Ca
along the precipitate. C) Selected-area electron
diffraction pattern from [010] zone axis of the
Ordovician dolomite showing of distinctive (003),
(101), and (105) ‘‘b’’ reflections, which indicate
that the dolomite is ordered. Ask author to add C
label
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 687
and Mitchell (1985) show that dolomite formed in a storm-influenced tidal
setting. In the sample studied here, flooding may have increased the input
of detrital minerals into the microbial mat, and this could be the reason
larger amounts of quartz and feldspar are present in the dolomite laminae.
Because detrital minerals are enriched in the dolomite laminae (dark layer),
they might form during periods of significantly more frequent flooding
which presumably would be during the summer season, with more sunlight
exposure. Higher temperature, more sunlight, and more nutrients would
have promoted microbial growth and thus provide more organic materials
during deposition, which explains the higher porosity, darker color, and
more plastic behavior of the dolomite-dominated layers. Previous studies
have shown that the storm season can significantly impact the pattern of
carbonate precipitation through change in nutrients and water chemistry
(Folk and Siedlecka 1974; Boero 1996; Petrash et al. 2016). Mudcracks are
highly distorted in the dark layers; this suggests a much larger volume
shrinkage in the dark layers during deposition and later diagenesis than in
the light layers. A larger volume decrease in dark layers indicates higher
organic content in the dolomite dominated layers during their deposition
(Demicco 1983).
In order to spatially correlate organic matter and dolomite in the sample,
the near-infrared method was applied. Based on previous studies, for a
1000–2500 nm wavelength range, maximum absorption would occur at
FIG. 8.—XRF elemental maps of T-3024 thin section. A) Cross-polarized-light image of T-3024 thin section. B–H) Elemental maps of Ca, Mg, Fe, S, Al, Si, and Ti,
respectively.
Y. FANG AND H. XU688 J S R
1960 nm for OH, 2320 nm for dolomite, and 2333 nm for calcite (Gaffey
1987; Morris et al. 2011; Morris et al. 2010). Maximum wavelength for
absorption for this study was slightly different from previous work, with
1947 nm for OH, 2325 nm for dolomite, and 2335 nm for calcite (Fig. 9).
The absorption wavelength was determined by bond distance within the
materials. The difference between this study and the literature might be due
to Ca-rich dolomite (this study) rather than stoichiometric dolomite. The
extra Ca2þ in the crystal lattice will increase the lattice parameters of
dolomite from a¼ 4.8079 A c¼ 16.0100 A (Graf 1961) of ideal dolomite
with 50% MgCO3 to a¼4.829 A c¼16.067A for the Ordovician dolomite
with 45.42% of MgCO3. The increase in lattice parameters gives rise to
increase of bond distance between cation and anion, which affects the
FIG. 9.—SWIR images of the Ordovician carbonate hand sample in A) absorbance mode, B) reflectance mode. C) SWIR spectrum of light laminae (red) and dark laminae
(dark) in reflectance mode. Wavelengths from measurement deviated slightly from referenced 1960 nm for OH, 2320 nm for dolomite, and 2330 nm for calcite absorbance
bands (Gaffey 1987). Images showing relative concentration of D) 1960 nm for OH and E) 2320 nm dolomite across the sample. Spatial distribution of OH and dolomite are
matched from the two images. Difference in measured wavelength is probably due to instrumental difference, and dolomite in this study is slightly Ca-rich.
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 689
FIG. 10.—Laser-induced fluorescence (LIF) image for the Ordovician carbonate. Three different components are identified across the image from deconvolution using
KemoQuant software. The spectrum of the three components Parts B, C, and D correspond with each component’s spatial distribution across the sample in Parts E, F, and G,
respectively. Spectrum in Part B corresponds to fluorescence from dolomite while spectra in Parts C and D correspond to organic remnant.
Y. FANG AND H. XU690 J S R
FIG. 11.—Noise-filtered Z-contrast image and simulated Z-contrast image of Ca-rich dolomite with ordering state of s¼0.9 ordering. The relative intensity from the Z-contrast
image and simulated image along A, B) [001], C, D) [104], E, F) [102�
] directions matched indicate the Ordovician dolomite has approximately state of s¼ 0.9 ordering.
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 691
wavelength of absorption (Gaffey 1987). Figure 9D and E show the
distribution of OH and dolomite based on 1960 nm and 2320 nm
respectively in absorbance mode. It is clear that OH and dolomite are
highly correlated to each other. However, OH signals could come from
either organic or hydrated minerals or both. In order to confirm the organic
distribution rather than the combination of both organic and hydrous
silicates, laser-induced fluorescence was used to produce LIF a signature
fluorescence spectrum for organic matter (Lichtenthaler et al. 1992;
Alberotanza et al. 1995; Tiano et al. 1995; Cecchi et al. 2000; Milori et al.
2006). LIF results from the Ordovician carbonate have identified three
components across the sample. Component 1 (Fig. 10B) is an indication of
dolomite fluorescence, while components 2 (Fig. 10C) and 3 (Fig. 10D) are
signals coming from organic materials (Cecchi et al. 2000). The spatial
distribution of components 1, 2, and 3 (Fig. 10E, F, G) are strongly
correlated in this sub-millimeter-laminated sample. Combining results
from both near-infrared and LIF, the spatial correlation between dolomite
and organic remnants is confirmed. The hypothesis that polysaccharides or
EPS functioning as a catalyst to promote sedimentary dolomite formation
is able to explain the confinement of dolomite and organics to sub-
millimeter fine laminae.
Hardie and Ginsburg (1977) and Mitchell (1985) suggested that the
planar micro-laminated carbonate forms in a sticky biomat in a tidal flat.
The enrichment of organic materials in the dolomite-dominated layer
during deposition likely forms a membrane-like structure from the
polysaccharides in the EPS, which prohibits the exchange of large
molecules but allows small ions and water to pass through. The membrane-
like structures lower the fluidity of the organic materials. The confinements
of membrane-like structures results in the sharply defined micro-laminated
structure in the sample. After deposition, dolomitization would occur
preferentially only in the membrane-like structure that is enriched in
organic materials. With seawater providing Mg2þ into both layers, only
layers with trapped organic materials would have subsequent CO32–
bonded with surface Mg2þ in Mg-calcite and would start to form
disordered and weakly ordered dolomite:
2Ca1�xMgx CO3ð Þ sð Þ þ 2 1� xð ÞMg2þ aqð ÞMg calcite
! CaMg CO3ð Þ2 sð Þ þ x� yð Þ2xCa2þ aqð Þdolomite
; x.y
Therefore, this study suggests that the formation of dolomite layers
started with organic matter that catalyzed dolomitization in the organic
enriched layers around calcite or high-magnesium-calcite seed crystals.
This explains the common calcite micro-inclusions observed in dolomite
crystals in this sample. As sediments continue to be deposited on top of
this organic layer, microorganisms started to decompose, shifting the
system towards a reducing micro-environment (Des Marais 2003).
Increasing burial depth eventually shifts the microbial activity to
fermentation and sulfate reduction (Irwin et al. 1977; Pisciotto et al.
1981; Kelts and McKenzie 1982; Mazzullo 2000). HS– will bind with free
Fe2þ to precipitate pyrite in the organic-rich layers. Studies of Mg isotopes
in ribbon rock shows that the Mg source for dolomite is more likely to
come from contemporaneous seawater than from specific dolomitizing
fluid from Mg released by clay (Li et al. 2016). Therefore, limited
distribution of microbial biomass could explain the periodic distribution in
Ordovician carbonate, as all layers would have been exposed to the same
flux of Mg.
Frequent environmental oscillation was likely responsible for the thin
laminae in the sample under study. The correlation between dolomite
formation and environment could be derived from the relationship between
dolomitization and microbial biomass, because bioactivity is sensitive to
environmental changes (Hardie 1987; Compton 1988; Vasconcelos and
McKenzie 1997; Mazzullo 2000; Warren 2000; Van Lith et al. 2002, 2003;
Wright and Wacey 2005). Organic remnants, which are most likely to be in
the form of kerogen in this Ordovician carbonate, are concentrated within
the dolomite-abundant laminae. SWIR and LIF data show the spatial
correlation between organics and dolomite in submillimeter-scale laminae,
which indicates that the formation of dolomite requires the presence of
microbial EPS as a catalyst. According to Lokier and Steuber (2008), the
average sedimentation rate for carbonate is around 0.29 mm per year. Paull
et al. (1992) have shown that the average sedimentation rate for
stromatolites is about 0.16 mm/yr, which is within the same magnitude
as this Ordovician sample. The Ordovician sample studied here has an
average width of individual laminae of approximately 0.2 mm.
Quantitative analysis on sedimentation rate using average spectral misfit
(ASM) with Monte Carlo spectra simulations (Meyers et al. 2012; Meyers
and Sageman 2007) shows that the sedimentation rate of this sample is
calculated to be 0.098 mm/yr. Because the sedimentation is calculated
using the rock sample, the effect of volume changes from organic
decomposition and compaction during dolomitization is neglected.
Therefore, 0.098 mm/yr might be an underestimation of annual
sedimentation rate. Based on previous studies, the Ordovician carbonate
sample with submillimeter laminae could potentially indicate annual cycles
with a pair of dark and light laminae where dark layers correspond to warm
and nutrient-rich high-energy summer conditions with more organics and
light layers indicate cool, nutrient-deprived, and less productive winter
conditions.
Kendall and Skipwith (1968) found similar features of planar laminae to
those studied here in upper intertidal and supratidal flats in Khor al Bazam,
United Arab Emirates. Ribbon rock from the Conococheague Formation,
Upper Cambrian, shows alternating limestone-dolomite beds that were also
inferred to be formed in a tidal-flat environment (Fig. 1C) (Demicco 1983).
A sample of ribbon rock (see Supplemental Material, File 1) displays
planar laminations similar to the Ordovician carbonates studied here, but
with much thicker beds. XRD patterns and optical examinations
demonstrate that the dark layers in the ribbon rock are enriched in
euhedral dolomite and light layers are dominated by microcrystalline
calcite (Supplemental Material, File 2). Similarity in mineral assemblage
for individual layers and morphology for the ribbon rock and the
Ordovician carbonate implies that dolomites in ribbon rock were likely to
be the product of the changes in climate that lead to different microbial
activity, which influence the amount of microbial EPS. Other factors may
also have influenced carbonate precipitation in these ancient rocks, such as
the climatic effect on the microbial community morphology and the
species of microbes involved. The difference in laminae thickness was
produced by different mechanisms driving environmental oscillation.
Therefore, the Ordovician carbonate is not a unique example of local
sedimentary dolomite precipitation but a case with well-defined constraints
to explain dolomite formation in ambient conditions requiring the presence
of EPS in a microbial biomat as a catalyst.
This model has the potential to address the formation of the ‘‘cap
dolostone’’ observed at the melting of ‘‘Snowball Earth’’ glaciation events.
Paleomagnetic data have shown that a cap dolomite in the Nuccaleena and
Ol formations were presumably formed in a warm, subtropical location
(Kravchinsky et al. 2010; Evans and Raub 2011; Williams et al. 2011; Liu
et al. 2014) with nutrient-rich continental surface runoff and a high water
table. Continental erosion providing nutrients such as life-limiting elements
such as phosphorus promoted microorganism growth at lower latitudes
(Shields 2005; Kunzmann et al. 2013; Liu et al. 2014). Increases in
primary productivity in these locations provided a large quantity of
microbial biomass, including EPS, during deposition and therefore likely
catalyzed the formation of the cap dolostone.
CONCLUSION
The presence of sedimentary dolomite in the studied samples indicates
an environment with thriving microorganisms that could provide catalysts
Y. FANG AND H. XU692 J S R
such as polysaccharides (the main component in microbial EPS). The
strong correlation between the spatial distribution of dolomite and organics
in submillimeter-laminated carbonate rock with sharp boundaries supports
the hypothesis of microbial EPS promoting dolomite growth from ambient
synthesizing experiments and molecular-dynamics modeling work. It is
also likely that heterotrophy of organic matter in sediments produce
suitable conditions for dolomite formation.
Using XRD, SEM, LIF, SWIR, and XRF, the spatial distribution of
mineral phases, elements, and organic content of the well-constrained
Ordovician carbonate with alternating dolomite–calcite layers, were
determined. By applying multiple methods on the same area, spatial
correlation between dolomite and organic remnants was established. The
evidence presented here supports the hypothesis that dolomite formation
requires the presence of organic catalysis such as microbial EPS. Thus, the
occurrence of similar sedimentary dolomite in the rock record implies an
environment suitable to supporting a relatively high degree of microbial
activity. Similar dolomitization patterns are observed in Cambrian ribbon
rocks and in the Neoproterozoic ‘‘cap dolostone,’’ indicating that this is not
an isolated occurrence of dolomitization associated with such microbial
activity. The differences in thickness of laminae between Ordovician
carbonate, ribbon rock, and ‘‘cap dolostone’’ were probably not the result
of different dolomitization mechanisms but the stability of a suitable
environment for microorganisms to thrive and the periodicity of
paleoenvironmental changes.
Oscillatory appearance in other types of sedimentary carbonate records
could also then be used to interpret paleoenvironmental changes. Changes
in climate may have resulted in variation in microbial activity, which
determined the amount of organic matter such as polysaccharide and EPS,
available to catalyze dolomite growth. Other factors such as changes in
microbial community structures might impact the amount of catalysts for
dolomite formation, but the exact contribution of these other factors are yet
to be determined.
SUPPLEMENTAL MATERIALS
Supplemental Files 1 and 2 are available from JSR’s Data Archive:
https://www.sepm.org/pages.aspx?pageid=229.
ACKNOWLEDGMENTS
We thank Drs. Jay Gregg, Stephen Kaczmarek, John Southard, and an
anonymous reviewer for their constructive suggestions and comments, Profs.
John Valley and Phil Brown for their helpful advice, Dr. Zhizhang Shen for
helping with the initial XRD experiments, Dr. Hiromi Konishi for the STEM
work, Drs. Gaber Kemeny and Chris Draves at Spectral Vision Middleton for
SWIR and LIF data collection, and Bruker AXS Inc. for XRF experiments. This
work is supported by NASA Astrobiology Institute (NNA 13AA94A).
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Received 7 November 2017; accepted 20 March 2018.
MICROBIAL IMPACT ON SEDIMENTARY DOLOMITE FORMATION FROM A LAMINATED CARBONATEJ S R 695