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Leaf wax n-alkane distributions in and across modern plants: Implications for paleoecology and chemotaxonomy Rosemary T. Bush a,, Francesca A. McInerney a,b a Department of Earth and Planetary Sciences, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3130, USA b Sprigg Geobiology Centre, Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, Mawson Laboratories, Adelaide, South Australia 5005, Australia Received 20 June 2012; accepted in revised form 18 April 2013; available online 29 April 2013 Abstract Long chain (C 21 to C 37 ) n-alkanes are among the most long-lived and widely utilized terrestrial plant biomarkers. Dozens of studies have examined the range and variation of n-alkane chain-length abundances in modern plants from around the world, and n-alkane distributions have been used for a variety of purposes in paleoclimatology and paleoecology as well as chemotaxonomy. However, most of the paleoecological applications of n-alkane distributions have been based on a narrow set of modern data that cannot address intra- and inter-plant variability. Here, we present the results of a study using trees from near Chicago, IL, USA, as well as a meta-analysis of published data on modern plant n-alkane distributions. First, we test the conformity of n-alkane distributions in mature leaves across the canopy of 38 individual plants from 24 species as well as across a single growing season and find no significant differences for either canopy position or time of leaf collection. Sec- ond, we compile 2093 observations from 86 sources, including the new data here, to examine the generalities of n-alkane parameters such as carbon preference index (CPI), average chain length (ACL), and chain-length ratios for different plant groups. We show that angiosperms generally produce more n-alkanes than do gymnosperms, supporting previous observa- tions, and furthermore that CPI values show such variation in modern plants that it is prudent to discard the use of CPI as a quantitative indicator of n-alkane degradation in sediments. We also test the hypotheses that certain n-alkane chain lengths predominate in and therefore can be representative of particular plant groups, namely, C 23 and C 25 in Sphagnum mosses, C 27 and C 29 in woody plants, and C 31 in graminoids (grasses). We find that chain-length distributions are highly var- iable within plant groups, such that chemotaxonomic distinctions between grasses and woody plants are difficult to make based on n-alkane abundances. In contrast, Sphagnum mosses are marked by their predominance of C 23 and C 25 , chain lengths which are largely absent in terrestrial vascular plants. The results here support the use of C 23 as a robust proxy for Sphagnum mosses in paleoecological studies, but not the use of C 27 ,C 29 , and C 31 to separate graminoids and woody plants from one another, as both groups produce highly variable but significant amounts of all three chain lengths. In Africa, C 33 and C 35 chain lengths appear to distinguish graminoids from some woody plants, but this may be a reflection of the differences in rainforest and savanna environments. Indeed, variation in the abundances of long n-alkane chain lengths may be respond- ing in part to local environmental conditions, and this calls for a more directed examination of the effects of temperature and aridity on plant n-alkane distributions in natural environments. Ó 2013 Elsevier Ltd. All rights reserved. 1. INTRODUCTION Long chain normal alkanes (n-alkanes), C 21 –C 37 , are synthesized as part of the epicuticular leaf wax of terrestrial plants and are among the most recognizable and widely used plant biomarkers, with a history of research stretching 0016-7037/$ - see front matter Ó 2013 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.gca.2013.04.016 Corresponding author. Tel.: +1 832 588 7290; fax: +1 847 491 8060. E-mail address: [email protected] (R.T. Bush). www.elsevier.com/locate/gca Available online at www.sciencedirect.com Geochimica et Cosmochimica Acta 117 (2013) 161–179

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Page 1: Leaf wax n-alkane distributions in and across modern plants ...polissar/OrgGeochem/bush--mciner… · Leaf wax n-alkane distributions in and across modern plants: Implications for

Available online at www.sciencedirect.com

www.elsevier.com/locate/gca

Geochimica et Cosmochimica Acta 117 (2013) 161–179

Leaf wax n-alkane distributions in and across modernplants: Implications for paleoecology and chemotaxonomy

Rosemary T. Bush a,⇑, Francesca A. McInerney a,b

a Department of Earth and Planetary Sciences, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3130, USAb Sprigg Geobiology Centre, Environment Institute and School of Earth and Environmental Sciences, University of Adelaide,

Mawson Laboratories, Adelaide, South Australia 5005, Australia

Received 20 June 2012; accepted in revised form 18 April 2013; available online 29 April 2013

Abstract

Long chain (C21 to C37) n-alkanes are among the most long-lived and widely utilized terrestrial plant biomarkers. Dozensof studies have examined the range and variation of n-alkane chain-length abundances in modern plants from around theworld, and n-alkane distributions have been used for a variety of purposes in paleoclimatology and paleoecology as wellas chemotaxonomy. However, most of the paleoecological applications of n-alkane distributions have been based on a narrowset of modern data that cannot address intra- and inter-plant variability. Here, we present the results of a study using treesfrom near Chicago, IL, USA, as well as a meta-analysis of published data on modern plant n-alkane distributions. First, wetest the conformity of n-alkane distributions in mature leaves across the canopy of 38 individual plants from 24 species as wellas across a single growing season and find no significant differences for either canopy position or time of leaf collection. Sec-ond, we compile 2093 observations from 86 sources, including the new data here, to examine the generalities of n-alkaneparameters such as carbon preference index (CPI), average chain length (ACL), and chain-length ratios for different plantgroups. We show that angiosperms generally produce more n-alkanes than do gymnosperms, supporting previous observa-tions, and furthermore that CPI values show such variation in modern plants that it is prudent to discard the use of CPIas a quantitative indicator of n-alkane degradation in sediments. We also test the hypotheses that certain n-alkane chainlengths predominate in and therefore can be representative of particular plant groups, namely, C23 and C25 in Sphagnum

mosses, C27 and C29 in woody plants, and C31 in graminoids (grasses). We find that chain-length distributions are highly var-iable within plant groups, such that chemotaxonomic distinctions between grasses and woody plants are difficult to makebased on n-alkane abundances. In contrast, Sphagnum mosses are marked by their predominance of C23 and C25, chainlengths which are largely absent in terrestrial vascular plants. The results here support the use of C23 as a robust proxyfor Sphagnum mosses in paleoecological studies, but not the use of C27, C29, and C31 to separate graminoids and woody plantsfrom one another, as both groups produce highly variable but significant amounts of all three chain lengths. In Africa, C33

and C35 chain lengths appear to distinguish graminoids from some woody plants, but this may be a reflection of the differencesin rainforest and savanna environments. Indeed, variation in the abundances of long n-alkane chain lengths may be respond-ing in part to local environmental conditions, and this calls for a more directed examination of the effects of temperature andaridity on plant n-alkane distributions in natural environments.� 2013 Elsevier Ltd. All rights reserved.

0016-7037/$ - see front matter � 2013 Elsevier Ltd. All rights reserved.

http://dx.doi.org/10.1016/j.gca.2013.04.016

⇑ Corresponding author. Tel.: +1 832 588 7290; fax: +1 847 4918060.

E-mail address: [email protected] (R.T. Bush).

1. INTRODUCTION

Long chain normal alkanes (n-alkanes), C21–C37, aresynthesized as part of the epicuticular leaf wax of terrestrialplants and are among the most recognizable and widelyused plant biomarkers, with a history of research stretching

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162 R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179

back almost a century (Chibnall et al., 1934). Plants typi-cally produce a range of n-alkanes, commonly with a strongodd-over-even predominance and one or two dominantchain lengths (Eglinton and Hamilton, 1963, 1967). Becausethey are straight-chain hydrocarbons lacking functionalgroups, n-alkanes are especially stable and long-lived mole-cules that can survive in the fossil record for tens of millionsof years (Eglinton and Logan, 1991; Peters et al., 2005). n-Alkanes occur in both modern and fossil leaves (e.g. Huanget al., 1995; Otto et al., 2005); in soils, paleosols, and fluvialsediments (e.g. Quenea et al., 2004; Smith et al., 2007); andin both lacustrine and marine sediments (Schefuß et al.,2003; Sachse et al., 2004; Handley et al., 2008). The stableisotopic compositions (d13C and dD) of n-alkanes and theirapplications in paleoecology and paleoclimatology havebeen studied extensively (see Castaneda and Schouten(2011) and Sachse et al. (2012) for review). Long chain n-al-kanes have great potential to inform us on past terrestrialecosystems and environments, but their interpretation aspaleo-proxies requires a strong understanding of variationsin n-alkane production both within and between modernplants.

n-Alkanes contribute to the hydrophobic properties ofleaf wax and serve as part of the plant’s first barrier fromthe external environment, protecting the leaf from waterloss via evaporation (Post-Beittenmiller, 1996; Jetteret al., 2006). Early studies suggest that leaf wax n-alkanesaccumulate rapidly during leaf maturation in spring andearly summer, and that hydrocarbon amounts remain rela-tively constant through the remainder of the growing sea-son (Eglinton and Hamilton, 1967; Avato et al., 1984;Gulz and Muller, 1992; Tipple et al., 2013), although thismay not necessarily mean that n-alkane proportions aremaintained (Stransky et al., 1967). Sachse et al. (2010)and Tipple et al. (2013) demonstrate that isotopic valuesof leaf wax n-alkanes reflect the isotopic values of leaf waterat the time of leaf formation, but other studies found thatthe isotopic composition of leaf wax n-alkanes changesthrough the growing season (Lockheart et al., 1997;Chikaraishi et al., 2004; Sachse et al., 2009), suggesting thatturnover of surface leaf wax may depend on plant type orenvironmental conditions (e.g. wind). The rate of wax turn-over and variations in hydrocarbon production across spe-cies due to environmental pressures, e.g. temperature,aridity, or ablation by wind, are relatively unknown (Jetteret al., 2006). Furthermore, within an individual tree, leafphysiology can vary from sun-exposed to shaded canopypositions, and spatial variation in overall n-alkane produc-tion across the canopy has been observed for some tree spe-cies (Dyson and Herbin, 1968; Lockheart et al., 1997).Similarly, variation in n-alkane distribution across a tree’scanopy or across a growing season could undermine thepower of comparisons between modern leaves, typicallycollected during the height of the growing season, and sed-imentary n-alkane profiles derived from leaves that werelikely, although not necessarily, naturally abscised. Mostleaves in the fossil record and the leaves which would havecontributed n-alkanes to the sedimentary record likely grewon the part of the canopy with the greatest amount of lightexposure (Greenwood, 1991), but shaded leaves also would

have contributed to fossilized soil and sedimentary organicmatter. Understanding intra-plant variability in n-alkaneproduction is critical to applying n-alkanes to paleoecolog-ical interpretations, as it is often difficult to assess the can-opy position and age of leaves that have contributed tosedimentary n-alkane records.

A great deal of research has been devoted to identifying,quantifying, and interpreting naturally occurring leaf waxn-alkanes in modern plants, often with the goal of usingthem as taxon-specific chemical fingerprints. Chemotaxo-nomic studies often use one or a few plants from a singlelocation to represent a species (e.g. Maffei et al., 2004);however, n-alkane distributions can vary within a speciesacross its range (Dodd and Afzal-Rafii, 2000; Dodd andPoveda, 2003). Geochemical studies of sedimentary long-chain n-alkanes have focused on the application of ratiosof particular chain lengths in an effort to reconstruct pastecosystems. The ratio of longer chain lengths (e.g. C29 orC31) to C17 has been used as a proxy for relative inputs ofterrestrial plants versus aquatic algae and phytoplanktonin lake sediments (Cranwell et al., 1987; Meyers and Ishiwa-tari, 1993). n-Alkanes with more intermediate chainlengths—C23, and to a lesser extent C25—have been utilizedto model Sphagnum peat moss (Nott et al., 2000; Pancostet al., 2002) and aquatic plants (Ficken et al., 2000; Mugleret al., 2008). Longer chain lengths have also been used asidentifiers for different vascular plant groups. For example,in studies of lake sediments it has been postulated that C31

represents input from grasses while C27 and C29 representinput from trees and shrubs (Meyers and Ishiwatari, 1993;Meyers, 2003). This reasoning has been used to interpret ra-tios constructed from these n-alkanes in lake cores and loesssequences as changes in ecosystem structure over time cor-responding with climate or land use change (Brincat et al.,2000; Schwark et al., 2002; Hanisch et al., 2003; Zhanget al., 2006). These n-alkane ratios often can be correlatedwith other evidence of plant community change, such aspollen records, and are compelling in such context. How-ever, the supposition that single n-alkanes represent suchlarge plant groups as grasses and woody plants is basedon relatively sparse original data (Wakeham, 1976;Cranwell, 1984; Kawamura and Ishiwatari, 1984; Cranwellet al., 1987), and although widely cited, Cranwell (1973)does not present any data on the distribution of n-alkanesin grasses in contrast to trees.

In addition to ratios of individual n-alkane abundances,several other methods for characterizing a given n-alkanedistribution have been developed. The two most commonare average chain length (ACL) and carbon preference in-dex (CPI). ACL is the weighted average of the various car-bon chain lengths, usually defined as

ACL ¼ RðCn � nÞ=RðCnÞ;

where Cn is the concentration of each n-alkane with n car-bon atoms. Carbon preference index measures the relativeabundance of odd over even carbon chain lengths, where

CPI ¼ ½RoddðC21–33Þ þ RoddðC23–35Þ�=ð2RevenC22–34Þ;

and captures the degree to which odd carbon numbern-alkanes dominate over even carbon numbers

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Table 1Species collected for this study from the Lincoln Conservatory(LC), Chicago, IL and from the Chicago Botanic Garden (CBG),Glencoe, IL. Species marked in bold were collected from green-house plants; all other plants were grown outdoors.

Species Family Location

PteridophytesCyathea cooperi Cyatheaceae CBG

Matteuccia pensylvanica Polypodiaceae CBGOsmunda regalis Osmundaceae CBG

GymnospermsCycas circinalis Cycadaceae CBG

Ginkgo biloba Ginkgoaceae CBGLarix decidua Pinaceae CBGMetasequoia glyptostroboides Cupressaceae CBGPicea abies Pinaceae CBGPinus sylvestris Pinaceae CBGTaxodium distichum Cupressaceae CBGTaxus cuspidata Taxaceae CBGThuja occidentalis Cupressaceae CBG

AngiospermsAlnus glutinosa Betulaceae CBGAnnona muricata Annonaceae LC

Artocarpus altilis Moraceae LC

Asimina triloba Annonaceae CBGCarpinus caroliniana Betulaceae CBGCeltis occidentalis Ulmaceae CBGFagus sylvatica Fagaceae CBGGleditsia triacanthos Fabaceae CBGKoelreuteria paniculata Sapindaceae CBGLindera benzoin Lauraceae CBGPlatanus orientalis Platanaceae CBGPopulus deltoides Salicaceae CBGPterocarya stenoptera Juglandaceae CBGRhus typhina Anacardiaceae CBGSalix alba Salicaceae CBGTamarindus indica Fabaceae CBG

Tilia cordata Tiliaceae CBGWashingtonia robusta Arecaceae CBG

R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179 163

(see Marzi et al., 1993). CPI values greater than 1 mean apredominance of odd over even chain lengths. In sediments,CPI > 1 is used to indicate a terrestrial plant source andthermal immaturity of the source rock (Bray and Evans,1961; Eglinton and Hamilton, 1967). Other numericalparameters have also been used to describe and distinguishn-alkane distributions, including the location-specific ma-trix model developed by Jansen and coworkers (Jansenet al., 2006, 2010).

The robust application of n-alkane distributions aspaleoecological biomarkers requires the systematic surveyof variation among different modern plants (Diefendorfet al., 2011). With the wealth of studies now published, amore comprehensive analysis of n-alkanes in modern plantsis now possible and can inform their use as paleoecologicalindicators. Therefore, this study uses a combination of newdata on n-alkane distributions from plants growing at theChicago Botanic Garden and the Lincoln Conservatory(Chicago, IL, USA) as well as a survey of the publishedn-alkane literature (totaling 2093 n-alkane measurementsfrom 86 sources) to examine the following sets of questions:

(1) Do n-alkane distributions vary within a plant withcanopy position or leaf age? To test this, leaves weresimultaneously collected from sun-exposed andshaded portions of a tree canopy during the summerand autumn across 38 individual plants: 22 differentoutdoor angiosperm and gymnosperm tree speciesand two ferns from the Chicago Botanic Garden.

(2) How do n-alkane chain-length distributions varyamong plant types? How does the absolute abun-dance of n-alkanes differ between angiosperms andgymnosperms? Compiled literature data on n-alkanedistributions and abundances from locations onevery continent except Antarctica, as well as newmeasurements from the Chicago Botanic Gardenand Lincoln Conservatory, are analyzed to addressthese questions.

(3) Can the abundance of different chain lengths be usedto reconstruct plant types? How well do C23 and C25,C27 and C29, and C31 actually distinguish Sphagnum

mosses, woody plants, and grasses, respectively?These questions were similarly addressed using thecompilation of new and published data.

The purpose of this work is to address questions con-cerning the use of n-alkane chain lengths as a proxy forplant types, and the answers to these questions are funda-mental to paleoecological interpretations of sedimentaryn-alkane distributions.

2. METHODS

2.1. Sample species and collection

Leaf samples were collected from the grounds and trop-ical greenhouse of the Chicago Botanic Garden (CBG) inGlencoe, IL, and from the tropical greenhouse at the Lin-coln Conservatory (LC), in Lincoln Park, Chicago (Table 1).Chicago Botanic Garden and Lincoln Park greenhouses had

similar climates, with windows open to the outside for aircirculation and daytime temperatures �27–32 �C in sum-mer. One to several leaves (depending on leaf size) were col-lected from at least one individual per species, and fiveindividuals each for the species Alnus glutinosa, Gleditsia tri-

acanthos, Pinus sylvestris, and Taxodium distichum. To en-sure equal and full light exposure, only isolated trees thatstood free from surrounding trees were selected when possi-ble. ‘Sun’ leaves were gathered from the outer edge of thecanopy, on the southern side of each plant, and typicallyat the maximum extent of the pole pruners (�3 m height).‘Shade’ leaves were taken from the bottom, northern side,and as near to the trunk as possible. Leaf samples were col-lected in both the summer (July 2007) and fall (October–November 2007). Fall samples were collected as close tothe time of abscission from the tree as possible, althoughfor a subset of species, multiple leaf samples were col-lected—either at two different dates in the fall or of two ormore colors of foliage representing differing levels of leaf de-cay on the tree (green, yellow, or brown). Shade leaves werenot collected for all outdoor species in fall because with

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164 R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179

attenuating canopy cover, shadiness of samples could not beverified. Each leaf sample was stored in a paper bag and al-lowed to dry completely before further preparation.

2.2. n-Alkane identification and quantification

Leaves from coniferous species were separated andstored in clean glass jars by age cohort. Evergreen anddeciduous leaves of the same age were compared to one an-other, to avoid effects of age variability (Brooks et al.,1997). Dried leaves were homogenized by grinding in liquidN2 with mortar and pestle. Lipids were extracted from 0.2–0.4 g of leaf sample in 20–30 ml dichloromethane:methanol(9:1 v/v) using a Microwave Accelerated Extraction System(MarsX) with a ramp to 100 �C over 5 min, a hold time at100 �C for 15 min, and cooling time of 30 min. Total lipidextracts were concentrated under a stream of dry N2.Non-polar lipids, including n-alkanes, were separated fromthe polar lipids via short column silica gel chromatography(Eglinton and Hamilton, 1967), using �1 g of activated sil-ica gel in a Pasteur pipette plugged with glass wool and4 mL hexanes. Once isolated, non-polar lipids were againconcentrated by evaporation with dry N2 and analyzed bygas chromatography/mass spectrometery (GC–MS)(Medeiros and Simoneit, 2007). Samples were passedthrough the gas chromatograph (Thermo Scientific TraceGC Ultra, with 15 m, 0.25 mm ID Thermo TR-5ms SQCcolumn) for separation and then to a quadrapole mass spec-trometer for identification (Thermo Scientific DSQII). Sam-ples were simultaneously injected into a separate column(with the same specifications) in the same instrument andanalyzed by a flame ionization detector (FID) for assess-ment of relative abundance. The GC oven temperaturemethod is as follows: initial temperature at 100 �C, holdfor 2 min, then ramp at 11 �C/min to 320 �C, and hold at320 �C for 5 min. All samples were compared to a standardhomologous series of n-alkanes from C21 to C40, inclusive(Fluka, Sigma–Aldrich).

2.3. Literature analysis

Data for comparisons of n-alkane distributions amongplant groups were collected from the published literature,which reported either tables or graphs of n-alkaneamounts—either relative (% of total) or absolute (massunit) amounts, both for odd and even chain lengths or so-lely odd chain lengths. Publications reporting only derivedparameters such as n-alkane ratios, ACL, or CPI, withoutreporting chain-length abundances or amounts, were notincluded in the analysis. The total number of observationscompiled was 2093. A supplementary spreadsheet is pro-vided with all literature data and their source referencesas well as all new data from the Chicago Botanic Gardenand Lincoln Conservatory. The spreadsheet includes onlythe chain lengths that were reported in the source publica-tions, with unreported chain lengths left blank; in order toassimilate diverse data, subsequent analyses assume thatunreported chain lengths reflect an absence of that chainlength (i.e. calculations assume 0% C35 where the sourcereported abundances for C27–C33 only), although this

may not be true in all cases. (Note that data from outdoorplants at the Chicago Botanic Garden included in the lit-erature compilation are for summer, sun leaf samplesonly.) All statistical analyses were performed with StataIC 11.1.

3. RESULTS

3.1. Average chain length

Using both the new data from the Chicago Botanic Gar-den and Lincoln Conservatory as well as the collected liter-ature data, average chain length was calculated twice: firstusing odd chain lengths only (ACLodd, n = 1964), and thenagain using both odd and even chain lengths (ACLall,n = 1736). The two calculated ACL values were then re-gressed across all data and found to be strongly and signif-icantly correlated (linear regression, r2 = 0.937,p < 0.00005, Fig. A-1). In a Student’s t-test, the two groupsare significantly different (p < 0.00005), but the difference issmall (0.166). And when the cycad family Zamiaceae(Osborne et al., 1989, 1993) is excluded, the correlationbecomes slightly stronger (linear regression, n = 1654,r2 = 0.939, p < 0.00005) and the difference between themeans smaller (0.159). Because 15 among 86 of the litera-ture sources published distribution values for odd chainlengths only, ACLodd was used in all subsequent analysesand is referred to only as ACL in subsequent text.

3.2. n-Alkane distributions within trees

There was no significant difference in ACL values be-tween sun and shade leaves of outdoor plants from the Chi-cago Botanic Garden, controlling for collection date, ineither angiosperms or gymnosperms in a paired Student’st-test (two-tailed, p = 0.2836). In linear regression analysis,sun and shade ACL values were strongly correlated in bothangiosperms (r2 = 0.914, p < 0.00005) and gymnosperms(both evergreen and deciduous, r2 = 0.742, p < 0.00005,Fig. 1A). For one species of gymnosperm, T. distichum,sun leaves had higher ACL values than shade leaves, butwith a sample size of only 3, the results were not statisticallysignificant; other deciduous gymnosperms do not show thesame pattern as T. distichum. Similarly, there was no signif-icant difference in ACL values between summer and fallleaves, controlling for canopy position, in both angio-sperms and gymnosperms in paired Student’s t-test (two-tailed, p = 0.6923). Summer and fall ACL values werestrongly correlated in linear regression in angiosperms(r2 = 0.976, p < 0.00005) and gymnosperms (r2 = 0.817,p < 0.00005, Fig. 1B). In Thuja occidentalis, even as sunleaves go from green to yellow to brown in the fall, shortlypreceding abscission, ACL values remained constant(ACL = 34.53, 34.54, and 34.42 for green, yellow, andbrown leaf samples, respectively).

3.3. n-Alkanes across plant functional types

Plants were assigned categories based on phylogenetic do-main and growth habit: mosses, ferns, woody gymnosperms

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Fig. 1. (A) Average chain length (ACL) of sun leaves versus shade leaves collected on the same day within the canopy of angiosperm trees(blue diamonds) and gymnosperm trees (filled red circles are evergreen, open circles deciduous). (B) ACL of summer leaves versus fall leavescollected at the same tree canopy location, as well as summer and fall ACL values for two outdoor ferns (green crosses). Dashed linesrepresent 1:1 lines. All data from the Chicago Botanic Garden. (For interpretation of the references to color in this figure legend, the reader isreferred to the web version of this article.)

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(conifers, cycads, and ginkgo), woody angiosperms, forbs(herbaceous, non-woody dicots), graminoids (grasses, sedges,and rushes), aquatic plants, and succulents. Fig. 2 shows thedistributions of ACL, CPI, and selected n-alkane ratios acrossthese groups. (Note that Fig. 2D–H report moss values forSphagnum only, excluding other moss species, as discussed be-low.) Fig. 3 shows ACL distributions for woody angiospermsand gymnosperms from temperate latitudes (40�–60�) sepa-rated into evergreen and deciduous taxa. The evergreen/decid-uous comparison is limited to temperate latitudes where leafdeciduousness can be defined based on whether leavesover-winter on the plant or are dropped in autumn, as decid-uousness in this region is largely based on temperature andlight-based winter seasonality. For tropical and sub-tropicalplants, assessing a binary deciduous/evergreen trait is moredifficult because deciduousness can be driven by other factors(e.g. drought) and leaf life span exhibits more of a continuum.Temperate gymnosperms show a similar distribution of ACLvalues for deciduous and evergreen taxa, despite the differencein sample size between the two groups (Fig. 3A). By contrast,in temperate woody angiosperms, evergreen species have high-er ACL values on average than do deciduous species, althoughboth groups cover a similar range of ACL values (Fig. 3B).However, almost all of the evergreen angiosperm species (97of 101) were drawn from a single plant family, Ericaceae,and thus this group may suffer from sampling bias. Overall,the distribution of ACL values is similar across all groups(Fig. 2A), except mosses, which have lower values. It shouldbe noted that the relatively low ACL values in mosses arefound predominantly in Sphagnum species, and not othermoss genera (Nichols et al., 2006). The group with the smallestrange of values, aquatic plants, is also the group with thesmallest number of data; all other groups demonstrate a largerange of ACL values.

Similarly to ACL, there is a large range of CPI valuesacross plant groups (Fig. 2B). Of 1722 total observations,the highest CPI value is 99 (woody angiosperms, Vellozia-ceae), while the lowest CPI value is 0.039 (graminoid, Poa-ceae). 96.0% of all CPI values are greater than or equal to 1;81.2% greater than or equal to 2; and 60.7% greater than orequal to 5. Median CPI for all observations is 7.06; meanCPI is 10.69. Lastly, the large number of outlier CPI valuesfor some plant groups demonstrates the large range in CPIvalues and the asymmetrical group skew towards relativelylower values for all groups and across plant families. Dom-inance, or the relative percent abundance of the most dom-inant n-alkane in each distribution, also has a large range,from 100% (woody gymnosperms, woody angiosperms,succulents, multiple families) to 15.7% (succulents, Cacta-ceae) at the lowest (Fig. 2C).

Measurements of absolute n-alkane amounts are re-corded in the literature less frequently than relativeamounts. Most sources report measurements as lgn-alkanes/g dry leaf material. A few sources report mgn-alkanes/g wax, but this is more difficult to measure andless meaningful for applications where comparisons betweenn-alkane amounts and biomass production are important.Angiosperms have on average 506 lg n-alkanes/g dry leaf(n = 282, std. dev. = 497). In contrast, gymnosperms havean average of 46 lg n-alkanes/g dry leaf material (n = 120,std. dev. = 335, Fig. 4); excluding one outlier (Podocarpus

latifolius) with reported 3607 lg n-alkanes/g dry leaf (Fickenet al., 2000), the average for gymnosperms drops to 16 lg n-alkanes/g dry leaf (n = 119, std. dev. = 69). n-Alkane quan-tities for only three Sphagnum moss species, reported as lgn-alkanes/g dry plant material, were included in this study(Pancost et al., 2002), and their values (72, 182, and 192)are more similar to the range of angiosperm values than to

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Fig. 2. Box plots divided by plant type for (A) average chain length (ACL), (B) carbon preference index (CPI), (C) relative percentage of themost dominant chain length of each n-alkane distribution (Dominance), (D) C31/(C29 + C31), (E) C31/(C27 + C31), (F) C23/(C23 + C29), (G)C33/(C29 + C33), (H) C35/(C29 + C35). (A–C) Show results for all moss data; (D–H) Report data for Sphagnum mosses only. Sample size ofeach type in parentheses. Each box represents range of middle 50% of group values, where center line is group mean. Whiskers are outside25% each, and points are outliers.

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Fig. 3. Box plots of average chain length (ACL) for temperate(40�–60� latitude) woody plants: (A) Temperate deciduous andevergreen woody gymnosperms, (B) Temperate deciduous andevergreen woody angiosperms. Note that 97 of 101 evergreenwoody angiosperms are from the Ericaceae family. Sample size ofeach group in parentheses.

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gymnosperms. Fig. 4 also demonstrates that gymnospermshave a significantly lower average CPI value than angio-sperms: 5.20 (n = 296, std. dev. = 6.33) and 11.76(n = 1380, std. dev. = 12.25), respectively (Student’s t-test,p < 0.00005).

3.4. n-Alkane chain lengths and ratios as plant proxies

In addition to plotting ratios by plant group (Fig. 2D–H), two other approaches were employed to examine theapplicability of previously posited generalities that C31 pre-dominates in grasses and C27 and C29 predominate in woo-dy plants, i.e. trees and shrubs (Meyers and Ishiwatari,1993; Meyers, 2003), and similarly that C23 and C25 pre-dominate in Sphagnum mosses (Corrigan et al., 1973; Nott

Fig. 4. Log–log plot of CPI values by n-alkane amounts for both angiospn = 109).

et al., 2000). Comparisons were made first between woodyplants and graminoids (a group which includes grasses aswell as grass-like sedges and rushes: Poaceae, Cyperaceae,and Juncaceae families, respectively) and then secondly be-tween woody plants and Sphagnum mosses. The interpreta-tion of n-alkane chain-length ratios in terms of plantcommunity rests on a foundational assumption of equiva-lent n-alkane production by different plant groups. Withinthe angiosperms, using observations with published n-al-kane masses, we found that woody angiosperms (n = 85)and graminoids (n = 138) produce statistically equivalentamounts of n-alkanes in their leaf tissues (Student’s two-tailed t-test p = 0.0141; Fig. A-2). n-Alkane production ap-pears to be much higher in angiosperms than gymnosperms(Fig. 4), and thus we included only woody angiosperms inthe comparisons, but results for conifers (woody gymno-sperms) were similar. First, we plotted groups on ternarydiagrams, using either C27, C29, and C31 or C23, C27, andC29 as vertices (Fig. 5). Second, we performed discriminantanalyses for each set of plant groups, using the percentageof two or more chain lengths as the determinant variables(Tables 2 and 3, A-1). Average group chain-length profilesare also presented (Fig. 6).

3.4.1. Woody plants and graminoids: C27, C29, and C31

In order to approximate a geographically realisticassessment of plant groups, the data were divided intobroad geographic distributions. One such geographic divi-sion includes all temperate zone plants, 40–60� latitude,from both hemispheres. Because of the large number ofmeasurements made on temperate species in the Ericaceae(n = 128, of 188 temperate woody angiosperms), largelydue to the work of Salasoo (1981, 1983, 1987a, 1987b,1987c), this family was separated from all other woodyangiosperms. Fig. 5A shows the ternary diagram of C27,C29, and C31 abundances for temperate woody angio-sperms, excluding Ericaceae, alongside C3 and C4 grami-noids and the high degree of overlap between all threegroups. Sub-Saharan Africa has the most n-alkane mea-surements of all tropical and sub-tropical areas, and so

erms (filled diamonds, n = 196) and gymnosperms (open diamonds,

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Fig. 5. Ternary diagrams of n-alkane chain-length abundances by plant group. All temperate woody angiosperms exclude the familyEricaceae, except in 5G, where they are plotted separately. (A) Temperate woody angiosperms and C3 and C4 graminoids by C27, C29, andC31. (B) African woody angiosperms and C4 graminoids by C27, C29, and C31. (C) Temperate woody angiosperms and C3 and C4 graminoidsby C27, C29, and C33. (D) African woody angiosperms and C4 graminoids by C27, C29, and C33. (E) Temperate woody angiosperms and C3 andC4 graminoids by C27, C29, and C35. (F) African woody angiosperms and C4 graminoids by C27, C29, and C35. (G) Temperate woodyangiosperms, Ericaceae, and Sphagnum by C23, C27, and C29 n-alkanes.

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Table 2Results of discriminant analyses for graminoids and woody angiosperms using C29

and C31. True plants are actual group assignments, while determined (Det.) plantsare statistically assigned. The integer indicates the number of observations for eachcategory, and the number in parentheses indicates the percentage for each categoryfrom the row total. The percentage in parentheses for the grand total indicates thepercentage of correctly assigned plants for both groups.

Det. Graminoids Det. Woody Ang. Total

(A) All plants, classified using C29 and C31 as discriminantsTrue Graminoids 200 (67%) 98 (33%) 298True Woody Ang. 273 (46%) 318 (54%) 591Total 473 (53%) 416 (47%) 889 (58%)

(B) Temperate plants (40�–60� latitude)True Graminoids 93 (51%) 91 (49%) 184True Woody Ang. 100 (53%) 88 (47%) 188Total 193 (52%) 179 (48%) 372 (49%)

(C) Sub-Saharan African plantsTrue Graminoids 60 (94%) 4 (6%) 64True Woody Ang. 33 (38%) 54 (62%) 87Total 93 (62%) 58 (38%) 151 (75%)

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the same comparisons between plant groups were also madeusing African data only (Fig. 5B). Fig. 5C–F show addi-tional ternary diagrams constructed for the same temperateand African plant groups using chain lengths C27, C29, andC33 as well as C27, C29, and C35. These plots (Fig. 5C–F)show less overlap between woody angiosperms and grami-noids than the C31-based plots (Fig. 5A and B) basedmostly on the absence of the longer C33 and C35 chainlengths in many woody angiosperms. Nonetheless, there isstill a wide distribution of woody angiosperm values.

To test the predictive power of the C29 and C31 chainlengths among plant groups, discriminant analyses wereperformed (Table 2). Relative abundances of chain lengthsC29 and C31 were used as discriminant variables to classifyplants as woody angiosperms and graminoids (both C3 andC4). To do this, plants were treated as unknowns and statis-tically assigned to either woody angiosperms or to grami-noids based on the proximity of their abundances of C29

and C31 to the group means. Table 2A shows the resultsof this analysis for all plants regardless of geographic loca-

Table 3Results of discriminant analyses for Sphagnum mosses andtemperate woody angiosperms. True plants are actual groupassignments, while determined (Det.) plants are statisticallyassigned. The integer indicates the number of observations foreach category, and the number in parentheses indicates thepercentage for each category from the row total. The percentagein parentheses for the grand total indicates the percentage ofcorrectly assigned plants for both groups.

All plants, classified using C23 and C29 as discriminants

Det. Sphagnum Det. Woody Ang. Total

True Sphagnum 39 (83%) 8 (17%) 47True Woody Ang. 6 (3%) 182 (97%) 188Total 45 (19%) 190 (81%) 235 (94%)

tion: out of 298 total “true” graminoids, 200 (67%) werecorrectly determined to be graminoids while 98 (33%) werestatistically assigned to “woody angiosperms.” Similarly, of591 total woody angiosperms, 318 (54%) were correctlyidentified and 273 (46%) were incorrectly identified as“graminoids” by the discriminant analysis. The same anal-ysis was done for temperate plants from 40� to 60� latitude(Table 2B) and also for plants from sub-Saharan Africa(Table 2C). The discriminant chain lengths are capable ofdetermining sub-Saharan African graminoids with 94%accuracy but also incorrectly identify 38% of woody angio-sperms as “graminoids”. In the real world, the true identi-ties are not known, and therefore the success of theapproach must be measured by the proportion of bothgroups that are correctly identified. Thus, when both woo-dy angiosperm and graminoid groups are considered to-gether, the discriminant analyses are never better than75% accurate for any of the geographic areas. The amountof variability in chain-length abundances is always higherfor woody angiosperms than for graminoids (Fig. 2C),and therefore the discriminant analysis is less accurate forwoody angiosperms in every case (Table 2). Discriminantanalyses utilizing C27 fared no better than those using C29

and C31 alone with the total correct assignments rangingfrom 53% (temperate) to 76% (sub-Saharan Africa)(Table A-1). Fig. 6A shows the average profiles for temper-ate woody angiosperms (with Ericaceae excluded) as well astemperate C3 and C4 graminoids, and Fig. 6B shows theaverage profiles for African woody angiosperms and C4

graminoids. C31/(C29 + C31) and C31/(C27 + C31) ratio val-ues for all plants, temperate plants, and plants from Africaas well as North America are provided in Tables A-2 andA-3.

To explore whether the apparent separation betweenAfrican woody angiosperms and African C4 graminoids

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Fig. 6. Average n-alkane distributions. (A) Temperate woody angiosperms (Ericaceae excluded), temperate C3 graminoids, and temperate C4

graminoids. (B) African woody angiosperms and C4 graminoids. (C) Temperate Sphagnum mosses, woody angiosperms (Ericaceae excluded),and Ericaceae species. Numbers in parentheses are sample sizes. Error bars are ±1 standard deviation.

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(Figs. 5B, D, F and 6) was related to growing environmentin Africa, woody angiosperms published in Vogts et al.(2009) were separated into either rainforest or savanna bio-mes (following the categories listed by the authors) andplotted on ternary diagrams alongside savanna forbs andC4 graminoids from eastern or southern Africa (Fig. A-3).Fig. A-3A shows that for C31, there is still a large amountof overlap among all groups, including both rainforestand savanna plants, but for chain lengths C33 and C35

(Fig. A-3B and C, respectively) rainforest woody angio-sperms as a group have lower amounts of these longer chainlengths than any of the savanna plants. Discriminant anal-ysis was also performed for the rainforest versus savannawoody angiosperms only, using C29 and C31. The analysiscorrectly identified 22 of 24 rainforest woody plants and37 of 45 savanna woody plants, for a total accuracy of86% (Table A-4). Including C33 and C35 in the discriminantanalysis also produced 86% total accuracy.

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3.4.2. Sphagnum mosses and woody plants: C23, C27, and C29

Fig. 2F demonstrates the differentiation between Sphag-

num and other plant groups based on a C23/(C23 + C29) ra-tio. The ternary diagram in Fig. 5G also visuallydemonstrates the ability of C23, C27, and C29 chain-lengthabundances to separate Sphagnum mosses from woodyangiosperms. Because the Ericaceae plant family is animportant component of the bog wetland ecosystems whereSphagnum species predominate, we have plotted woodyangiosperms as two groups, one excluding Ericaceae, simi-lar to the comparison with graminoids, and the other theEricaceae family itself (Fig. 5G). The two groups of woodyangiosperms overlap one another, and the Sphagnum

mosses are distinguished from woody angiosperms almostentirely by their high proportion of C23. Table 3 showsthe results of a discriminant analysis using relative abun-dances of C23 and C29 to differentiate temperate woodyangiosperms from Sphagnum. Because Ericaceae and otherwoody angiosperms were so similar in their distributions ofC23, C27, and C29, the two groups were not separated fromone another in the discriminant analysis. Results of discrim-inant analyses using all three chain-length abundances (C23,C27, and C29) and of only C23 and C27 are not shown be-cause they are exactly the same as for C23 and C29. Thechain lengths can be used to separate the two plant groupsfrom one another with overall 94% accuracy (Table 3).

n-Alkane ratios were also calculated for woody plants andSphagnum mosses, with C23 and C25 used to representSphagnum and C27 and C29 to represent woody plants. Ratiosusing C23 (Table A-4) provided a better proxy for separatingmosses from woody plants than did ratios using C25 (TablesA-5 and A-6). Sphagnum mosses had C23/(C23 + C27) andC23/(C23 + C29) ratios of 0.773 and 0.728, respectively, whilethose for woody angiosperms were 0.089 and 0.071. Data forSphagnum came only from temperate regions and so werecompared only with temperate woody plants. Fig. 6C showsthe average profiles for Sphagnum mosses, woody angio-sperms excluding Ericaceae, and Ericaceae.

4. DISCUSSION

4.1. n-Alkane distributions within trees

n-Alkane distributions for temperate trees from theChicago Botanic Garden do not appear to significantly varywith either canopy position or with sampling date, for bothangiosperms and gymnosperms (Fig. 1). The stability ofn-alkane distributions over a growing season shown hereis in apparent contrast to the findings of other researchers,who describe changes in n-alkane amounts as leaves matureacross a growing season (Piasentier et al., 2000). However,Piasentier et al. (2000) show that the greatest changes in rel-ative n-alkane amounts occur during the growth and expan-sion of the young leaf, and they note that the n-alkanepatterns of the mature and senescing leaves (which corre-spond to the leaves sampled in this study) remain markedlysimilar, in agreement with the findings presented here. Sim-ilarly, although Sachse et al. (2009) report variability in leafn-alkane amounts across multiple dates in a single growingseason, suggesting ablation and turnover of surface waxes,

the relative chain-length proportions remain fairly steady,and Tipple et al. (2013) show that both ACL and isotopicvalues reflect the time of leaf formation and remain steadythrough the rest of the growing season. Sampling of imma-ture leaves may also explain the variation observed byStransky et al. (1967). Lastly, Avato et al. (1984) also foundthat once leaves mature, n-alkane quantities remain rela-tively constant. The results presented here suggest that forfully developed leaves, there is no significant difference inrelative n-alkane distributions either around a tree or withina growing season. It should be noted that Maffei et al.(1993) found that n-alkanes in the evergreen Rosmarinus

officinalis correlated with temperature when sampled acrosssummer and winter, suggesting that for evergreen leaves n-alkane composition shifts to longer chain lengths in re-sponse to lower winter temperatures in overwinteringleaves. However, for the outdoor trees measured in thisstudy across a summer growing season, n-alkane distribu-tion does not significantly change from at least the pointof leaf maturation to leaf abscission in the autumn(Fig. 1B). Although these data come from a limited numberof species from a non-natural (although outdoor) environ-ment, the strong correlation between sun and shade as wellas summer and fall n-alkane distributions supportscomparisons of the distributions of modern plants withfossil n-alkanes of unknown canopy position and seasonof abscission, and in this sense makes them well suited foruse as paleoecological proxies.

4.2. n-Alkane distributions across plant functional types

Average chain length is a broad-brush parameter thatdoes little to differentiate large-scale plant groups for anygroup except Sphagnum mosses (Fig. 2A). Some species ex-hibit a high degree of genetic control over their n-alkanedistributions, such that different plants growing in differentlocations can have relatively similar patterns of n-alkanedistribution, e.g. the almost exclusive production of C27

by Fagus sylvatica leaves (Gulz et al., 1989; Lockheartet al., 1997; Tu et al., 2007; Sachse et al., 2009; this study).However, other species have been shown to have variable n-alkane distributions across different environments, limitingthe usefulness of n-alkane profiles in chemotaxonomy(Dodd and Poveda, 2003; Vogts et al., 2009). Because theleaf wax is a plant’s first barrier to the external environ-ment, it is reasonable to hypothesize that the compositionof that wax, including the n-alkanes, would be controlledto some degree by environmental adaptation and thereforeplastic in response to external conditions (Shepherd andGriffiths, 2006). This plasticity would contribute to the ob-served variation and lack of differentiation among plantgroups.

Regarding CPI, the vast majority (but not all) of mea-sured modern plants have values greater than 1 (Fig. 2B),meaning that odd chain lengths are more abundant thaneven chain lengths. Perhaps not surprisingly, a reasonablecut-off for determining a relatively unmodified terrestrialplant source for sediment n-alkanes appears to be a CPIof 1 or greater (Douglas and Eglinton, 1966), and a morerigorous threshold might be 2 or greater, as the majority

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of modern plants (81% of 1723 measurements) fall above 2.However, in light of the tremendous diversity of CPI valuesin modern plants, it seems prudent to use CPI as an indica-tor of terrestrial plant origin in a more binary (either the n-alkanes are faithful to the original plant source or they arenot) sense rather than interpreting along a spectrum of val-ues. It seems especially difficult to apply sedimentary CPIvalues in any quantitative way towards determining the de-gree of n-alkane degradation as in Buggle et al. (2010) andZech et al. (2013), although they may still qualitatively indi-cate thermal maturity in oils and petroleum source rocks(Bray and Evans, 1961). The use of CPI in combinationwith n-alkane ratios to estimate the n-alkane contributionsof graminoids and trees (discussed in Section 4.3), e.g. fol-lowing Zech et al. (2009), should be viewed with particularcaution or even be disregarded due to the extreme variabil-ity and overlap in these parameters in modern plants(Fig. 2).

Lastly, both deciduous and evergreen gymnospermsproduce, on average, much smaller quantities of n-alkanesper unit leaf mass than do angiosperms. It was observedpreviously that in some individuals of the gymnospermsPinaceae and Cupressaceae, n-alkanes constituted only�1% of leaf wax (Herbin and Robins, 1968; Chikaraishiet al., 2004), while leaf waxes of some angiosperm specieswere over 90% n-alkanes (Herbin and Robins, 1969; Dove,1992). Diefendorf et al. (2011) also found in their measure-ments of leaf n-alkanes from Pennsylvania, Wyoming, andPanama that angiosperms consistently produced more n-al-kanes than gymnosperms. Here we expand on these find-ings by demonstrating this difference across 274 speciesand a range of plant families and locations (from Africa,Europe, Australia, and South America) (Fig. 4). This find-ing in modern plants fits with the observation by Lockheartet al. (2000) and Otto et al. (2005) that gymnosperm fossilshad smaller amounts of n-alkanes than did angiosperm fos-sils from the same localities. For paleoecological applica-tions, this difference in n-alkane production means thateven for an ecosystem with a minority of angiospermsand a majority of gymnosperms, angiosperms would likelybe the dominant source of in situ sediment n-alkanes in thelocal soil organic matter. For example, if we consider anecosystem that is 90% gymnosperm and only 10% angio-sperm and we use the average amounts of n-alkanes re-ported for each group here (510 lg n-alkane/g dry leaf inangiosperms and 16 lg in gymnosperms, excluding the out-lying Podocarpus measurement, Fig. 4), the mixed sedimen-tary n-alkanes would be roughly 22% gymnosperm and 78%angiosperm in origin. If we consider an ecosystem that is aneven mix of angiosperms and gymnosperms, angiospermswould produce 97% of the total n-alkane signal. The differ-ence in n-alkane production between angiosperms and gym-nosperms observed here for total n-alkanes is of a similarmagnitude to that reported by Diefendorf et al. (2011).Sphagnum mosses appear to produce n-alkanes in their tis-sues in greater quantities than most gymnosperms, but stillless than those of angiosperm leaves (Pancost et al., 2002).Inferences of plant cover from distributions and stable iso-tope ratios of n-alkanes often implicitly assume that plantscontribute n-alkanes in direct proportion to their biomass

(e.g. Nichols et al., 2006; Smith et al., 2007; Diefendorfet al., 2010). However, the demonstrated difference in n-al-kane production by angiosperms and gymnosperms re-quires careful interpretation of n-alkanes fromsedimentary archives (Fig. 4; Diefendorf et al., 2011).Although n-alkane production in Sphagnum and angio-sperms appears to be more similar, additional data on abso-lute amounts of n-alkane chain lengths in modern plants(lg n-alkane/g dry leaf) in woody, herbaceous, and Sphag-

num-dominated ecosystems are needed.

4.3. n-Alkane chain lengths as grass and woody plant proxies

The initial studies that are often cited in support of theC31/C29 grass/woody plant comparison make no mentionof grasses separate from other terrestrial plants, but ratherfocus on terrestrial plants as a group in comparison withaquatic plants or peat (Cranwell, 1973, 1984; Cranwellet al., 1987). The compilation of published data and newanalyses presented here demonstrate that both graminoidsand woody angiosperms produce C29 and C31 in abundancerelative to other n-alkane chain lengths (Fig. 6A), and the ra-tios of these two compounds are highly variable and over-lapping between these groups (Fig. 2D). Therefore, C29

and C31 cannot serve as generalized proxies for separatinggrasses and woody plants. The ternary diagrams demon-strate visually the large amount of variation within thegroups, especially in woody angiosperms, as well as theoverlap of graminoids and woody angiosperms (Fig. 5Aand B). Discriminant analyses using C29 and C31, with orwithout C27, are at worst little better than random guessingat correctly identifying graminoids and woody angiospermsby their chain-length abundances (49% for temperate plants,58% correct globally) and are at best 75% accurate for trop-ical regions (Table 2), mostly because of the large amount ofvariation in woody angiosperm n-alkane abundances.

A possible exception is the regional grouping of Sub-Saharan graminoids, which appear to be distinguishablebased on C29 and C31 relative abundances (Table 2C,Fig. 5B). However, this apparent association between chainlengths and plant groups may instead reflect the influence ofenvironment concealed by inadvertent sampling bias. Mostof the sub-Saharan graminoids are C4 plants that areadapted to hot, dry environments (Rommerskirchenet al., 2006). By comparison, many of the woody angio-sperm observations are drawn from a greater diversity ofenvironments (hot and dry as well as cooler and wetter,e.g. Vogts et al., 2009). It seems plausible that the greaterpredominance of longer chain lengths (C31, C33, and C35)in graminoids than in woody angiosperms in Africa(Figs. 5B, D, F and 6) could be a more direct reflectionof local climatic influences such as aridity than of the plantgroups per se (Rommerskirchen et al., 2006). To evaluatethis possibility, we examined the n-alkanes from woodyangiosperms sampled from both African rainforest and sa-vanna biomes in the study by Vogts et al. (2009). Savannawoody angiosperms have relative abundances of the longerchain lengths (C31, C33, and C35 relative to C29 and C27)similar to the C4 graminoids and forbs (Fig. A-3). Incontrast, rainforest woody plants group separately from

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the savanna woody angiosperms, graminoids, and forbs,suggesting that climate could be the controlling factorrather than woody versus herbaceous life habit (Fig. A-3).Furthermore, when considering only woody angiosperms(i.e. controlling for plant type), a discriminant analysisusing C29 and C31 is able to correctly identify plants fromthe two separate biomes (rainforest and savanna) with86% accuracy (Table A-4). Interestingly, C35 relative toC29 and C27 appears to largely separate graminoids and for-bs from savanna woody angiosperms (Fig. A-3C), but fur-ther investigation is required to determine whether thispattern reflects plant type or differences in microclimateswithin the savanna (e.g. woody species sampled from ripar-ian environments). African graminoids may occupy a morerestricted range of chain-length distributions (Fig. 5), simi-lar to savanna forbs and woody plants and in contrast torainforest woody plants (Fig. A-3), because their environ-mental range is more restricted (i.e. to warmer, more aridenvironments) than woody plants, which can be found insome capacity in almost any environment.

Other studies have also suggested correlations betweenn-alkane chain lengths and environment (Kawamuraet al., 2003; Rommerskirchen et al., 2003; Sachse et al.,2006). For example, Castaneda et al. (2009) examined sev-eral molecular proxies from sediment cores in Lake Malawiand showed that n-alkane chain length was correlated withtemperature reconstructions and did not correlate withreconstructions of grass and woody plant dominance basedon lignin phenolic compounds. Vogts et al. (2012) foundthat ACL values from marine sediments off the coast ofwestern Africa correlated with continental aridity and thatACL-based reconstructions of C4 plant abundancesmatched d13C-based reconstructions. Studies of n-alkanedistributions in living plants (Dodd and Poveda, 2003;Sachse et al., 2006), as well as studies of aeolian dust andmarine sediments from the Atlantic and Pacific (Rinnaet al., 1999), have found correlations between n-alkanechain lengths and latitude or altitude, suggesting insteadthat there may be a relationship between longer chainlengths and warmer, drier, or possibly more irradiatedenvironments.

4.4. n-Alkane chain lengths as a Sphagnum proxy

In contrast to the comparison between graminoids andwoody plants, ratios of the shorter C23 n-alkane to eitherC27 or C29 appear to readily distinguish modern Sphagnum

mosses from woody angiosperms. Indeed, it seems reason-able to expand this conclusion to encompass all non-Sphag-

num terrestrial plants, including grasses, forbs, andgymnosperms, because of the lack of distinction among allof the other plant groups from one another (Fig. 2F). Sphag-

num and woody angiosperms are largely distinguished fromone another by the relative abundance of C23 (Fig. 5G):Sphagnum samples in the ternary diagrams have abundancesgreater than 25% C23, compared to C27 and C29, while mostwoody angiosperms (including the Ericaceae) have less than10% C23. The results of the discriminant analyses utilizingC23 and C29 as well as C23 and C27 both showed 94% overallaccuracy in correctly assigning groups to either Sphagnum

or woody angiosperm. Most woody angiosperms also havemore C29 than C27, which supports the use of comparisonsbetween C23 and C29 as a proxy for inputs of Sphagnum

moss and woody plants (Nichols et al., 2006). However, sub-merged and floating aquatic plants have also been demon-strated to contain a relative abundance of C23 and C25

(Ficken et al., 2000; Mugler et al., 2008), and therefore, asin any consideration of ecological proxy indicators, the envi-ronmental context—e.g. of a Sphagnum-dominated bog or alacustrine system lacking in Sphagnum but with aquaticmacrophytes present—is crucial. Nonetheless, the data pre-sented here demonstrate that for bog ecosystems, this is auseful proxy for estimating the proportion of n-alkanes fromSphagnum mosses or from woody plants (Nott et al., 2000;Nichols et al., 2010).

4.5. Implications for paleoecology

From a paleoecological perspective, the consistency of n-alkane chain-length patterns within mature leaves over timeand canopy position validates the comparison of n-alkanesfrom modern plants with sediment or fossil n-alkanes thatderive from leaves of unknown provenance. However, thetremendous range of CPI values in living plants makesany application for sediment CPI values beyond a roughqualitative assessment of source fidelity particularly prob-lematic. Genetic controls clearly exert some degree of influ-ence over the production of different n-alkane chain lengths,as demonstrated by chemotaxonomic studies (Vioque et al.,1994; Maffei et al., 2004; Medina et al., 2006; Bingham et al.,2010) and biosynthetic studies (Jetter et al., 2006; Kunstet al., 2006). Similarly, the relative abundances of n-alkanesappear to be relatively tightly controlled within a singleplant, across both canopy and growing season (Fig. 1). Be-yond the individual plant, it remains unclear why one plantgroup per se (e.g. graminoids or woody plants growing in thesame environment) would favor production of one chainlength over another. The variation in chain-length abun-dances within most groups is large, even when accountingfor factors such as region and photosynthetic pathway(Figs. 2 and 5). This makes it inadvisable to use n-alkanechain-length abundances as chemotaxonomic indicatorsfor broad plant functional groups, with the exception ofSphagnum mosses from peat bog ecosystems. Based on themodern plant data, ratios of chain lengths C27 or longer,such as C31/(C29 + C31), do not appear to be a robust proxyfor separating grasses from woody plants. By contrast, C23

appears to generate a generally reliable proxy for Sphagnum

mosses when compared against C27 or C29 as indicators ofinput from other terrestrial plants, which is consistent withthe findings of others (Pancost et al., 2002; Nichols et al.,2006, 2010). With further investigation into the absolutequantities of n-alkanes produced per plant biomass and cov-er, it appears that these n-alkane chain lengths could poten-tially be a semi-quantifiable proxy for plant group cover inSphagnum wetlands (Nichols et al., 2010) or for Sphag-

num-sourced organic matter in river and marine sediments(Vonk et al., 2008; Vonk and Gustafsson, 2009).

Environmental factors may play a role in the plasticityof n-alkane distributions and explain some of the variation

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174 R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179

in large-scale plant groups. It is possible that climate canindependently drive both plant community compositionand n-alkane chain-length distribution, and that the twophenomena could be correlated without a direct causal rela-tionship. Most sedimentary n-alkane archive studies reportconcurrent shifts in local climate and plant communities,e.g. the large climate shifts associated with glacial/intergla-cial cycles (Brincat et al., 2000; Zhang et al., 2006; Zechet al., 2009) and with the Paleocene-Eocene Thermal Max-imum (Smith et al., 2007). It is difficult to disentanglewhether the observed changes in n-alkane distributionsthrough time are due to the direct influence of climate,based on the plastic response of n-alkanes to temperatureor aridity, or to its indirect influence via climate-drivenshifts in the local plant community. However, given therange of variation within plant groups, another possibilityremains that shifts in sediment n-alkane distributions mayreflect species turnover in plant communities that is de-cou-pled both from plant types and from a direct climate driver(e.g. due to succession, competition, etc.) Considering thelow amounts of n-alkanes synthesized in gymnospermleaves, the gymnosperm contribution to sediment n-alkanesmay only rarely be significant (e.g. where pollen or leaf fos-sil evidence indicates a preponderance of gymnosperms inthe local plant community). Future research would benefitfrom a determination of the environmental controls on bio-synthesis of n-alkanes and the extent to which climate playsa role in determining n-alkane chain lengths in modernplants and sediments.

5. CONCLUSIONS

n-Alkanes have been acknowledged for decades as usefulbiomarkers for terrestrial plants, and dozens of studies haveexamined the distributions of n-alkane chain lengths acrosshundreds of different plant species. Until now, however,most of these studies have focused on single taxonomicgroups or geographic areas, and broad paleoecologicalinterpretations have been based on a relatively narrowand incomplete set of modern data. Here, we find that intemperate trees n-alkane distributions are consistent across

Table A-1Results of discriminant analyses for graminoids and woody angiospermswhile determined (Det.) plants are statistically assigned. The integer indicin parentheses indicates the percentage for each category from the row topercentage of correctly assigned plants for both groups.

Det. Graminoids

(A) All plants, classified using C27, C29, and C31 as discriminantsTrue Graminoids 196 (66%)True Woody Ang. 287 (49%)Total 483 (54%)

(B) Temperate plants (40�-60� latitude)True Graminoids 115 (63%)True Woody Ang. 104 (55%)Total 219 (59%)

(C) Sub-Saharan African plantsTrue Graminoids 55 (86%)True Woody Ang. 27 (31%)Total 82 (54%)

canopy and growing season, and these findings validate thecomparison between modern plant n-alkanes and n-alkanesfrom fossil soils and sediments derived from leaves of un-known provenance. Furthermore, consistent with other re-cent findings (Diefendorf et al., 2011 and referencestherein), the evidence here shows that angiosperms produceorders of magnitude more n-alkanes in their leaves than dogymnosperms: typically 100s to 1000s of lg n-alkanes per gdry leaf matter compared to 10s or less, respectively. Wealso demonstrate that n-alkane chain lengths can serve asuseful chemotaxonomic proxies for the identification ofSphagnum mosses from other plant groups, but are unableto distinguish graminoids from woody plants, and thatmodern plants exhibit a tremendous range of n-alkane ratioand CPI values. Previous studies have suggested that n-al-kane chain-length distributions may be influenced by envi-ronment, possibly in addition to genetic controls. Thus, it ispossible that coherent patterns of n-alkanes in sediment re-cords are not artifactual but rather may directly result fromclimate forcings, meaning that there is present potential forn-alkane chain-length distributions to serve as a paleocli-mate proxy. However, this possibility must first be directlytested in modern plants and sediments. Examination intothe biosynthetic controls on n-alkane production and themanifestation of n-alkane response to climatic influenceswill further elucidate the ecological interpretations possiblewith these valuable plant biomarkers.

ACKNOWLEDGMENTS

We thank the research and horticultural staff and especiallyNyree Zerega and Celeste VanderMey at the Chicago Botanic Gar-den for their facilitation in sample collection. We are grateful toSarah Feakins for sharing data, and to Ellen Currano, Anna Hen-derson, Phil Meyers, Scott Wing, and three anonymous reviewersfor comments. Funding was provided by EPA Science to AchieveResults (STAR) Graduate Fellowship (to R.T.B.), research grantsfrom the Plant Biology and Conservation graduate program atNorthwestern University and the Chicago Botanic Garden (toR.T.B.), the Initiative for Sustainability and Energy at Northwest-ern (ISEN) (to R.T.B. and F.A.M.) and the Australian ResearchCouncil FT110100793 (to F.A.M.).

using C27, C29, and C31. True plants are actual group assignments,ates the number of observations for each category, and the numbertal. The percentage in parentheses for the grand total indicates the

Det. Woody Ang. Total

102 (34%) 298304 (51%) 591406 (46%) 889 (56%)

69 (38%) 18484 (45%) 188153 (41%) 372 (53%)

9 (14%) 6460 (69%) 8769 (46%) 151 (76%)

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Table A-2Average C31/(C29 + C31) ratios for plant types, including samplesize (n) and standard deviation (SD).

C31/(C29 + C31) n Average SD

All plantsConifers 219 0.642 0.303Woody Angiosperms 585 0.479 0.289Graminoids 298 0.610 0.194C3 Graminoids 150 0.559 0.206C4 Graminoids 144 0.660 0.167

Temperate (40–55� latitude)Conifers 170 0.643 0.314Woody Angiosperms 188 0.484 0.257Woody Angiosperms (excl. Ericaceae) 60 0.359 0.283Ericaceae 128 0.542 0.223Graminoids 184 0.555 0.196C3 Graminoids 125 0.553 0.210C4 Graminoids 57 0.556 0.164

AfricaWoody Angiosperms 87 0.399 0.270Graminoids 64 0.731 0.113C3 Graminoids 1 0.645 –C4 Graminoids 63 0.732 0.114

North AmericaWoody Angiosperms 158 0.418 0.292Woody Angiosperms (excl. Ericaceae) 83 0.291 0.310Ericaceae 75 0.558 0.191Graminoids 46 0.601 0.177C3 Graminoids 18 0.664 0.151C4 Graminoids 27 0.551 0.179

Table A-3Average C31/(C27 + C31) ratios for plant types, including samplesize (n) and standard deviation (SD).

C31/(C27 + C31) n Average SD

All plantsConifers 219 0.689 0.295Woody Angiosperms 581 0.685 0.341Graminoids 298 0.770 0.197C3 Graminoids 150 0.790 0.205C4 Graminoids 144 0.749 0.186

Temperate (40–55� latitude)Conifers 171 0.684 0.310Woody Angiosperms 188 0.693 0.319Woody Angiosperms (excl. Ericaceae) 60 0.516 0.342Ericaceae 128 0.776 0.272Graminoids 184 0.757 0.217C3 Graminoids 125 0.794 0.208C4 Graminoids 57 0.680 0.211

AfricaWoody Angiosperms 87 0.579 0.338Graminoids 64 0.792 0.134C3 Graminoids 1 0.826 –C4 Graminoids 63 0.791 0.135

North AmericaWoody Angiosperms 154 0.646 0.387Woody Angiosperms (excl. Ericaceae) 79 0.498 0.435Ericaceae 75 0.803 0.250Graminoids 46 0.748 0.235C3 Graminoids 18 0.896 0.125C4 Graminoids 27 0.641 0.237

Table A-4Results of discriminant analyses for African rainforest versussavanna woody angiosperms from Vogts et al. (2009). True plantsare actual group assignments, while determined (Det.) plants arestatistically assigned. The integer indicates the number of obser-vations for each category, and the number in parentheses indicatesthe percentage for each category from the row total. Thepercentage in parentheses for the grand total indicates thepercentage of correctly assigned plants for both groups.

African woody angiosperms, classified using C29 and C31 asdiscriminants

Det. Rainforest Det. Savanna Total

True Rainforest 22 (92%) 2 (8%) 24True Savanna 8 (18%) 37 (82%) 45Total 30 (43%) 39 (57%) 69 (86%)

Table A-5Average C23/(C23 + C27), C23/(C23 + C29), and C23/(C23 + C31)ratios for woody angiosperms and Sphagnum mosses, includingsample size (n) and standard deviation (SD).

n Average SD

C23/(C23 + C27)Temperate (40–55� latitude)

Woody Angiosperms 188 0.089 0.157Woody Angiosperms (excl.

Ericaceae)60 0.132 0.183

Ericaceae 128 0.069 0.139Sphagnum 47 0.773 0.120

C23/(C23 + C29)Temperate (40–55� latitude)

Woody Angiosperms 188 0.071 0.166Woody Angiosperms (excl.

Ericaceae)60 0.099 0.153

Ericaceae 128 0.057 0.170Sphagnum 47 0.728 0.171

C23/(C23 + C31)Temperate (40–55� latitude)

Woody Angiosperms 185 0.112 0.234Woody Angiosperms (excl.

Ericaceae)57 0.180 0.240

Ericaceae 128 0.081 0.225Sphagnum 47 0.608 0.229

Table A-6Average C25/(C25 + C27), C25/(C25 + C29), and C25/(C25 + C31)ratios for woody angiosperms and Sphagnum mosses, includingsample size (n) and standard deviation (SD).

n Average SD

C25/(C25 + C27)Temperate (40–55� latitude)

Woody Angiosperms 188 0.210 0.173Woody Angiosperms (excl.

Ericaceae)60 0.248 0.199

Ericaceae 128 0.193 0.158Sphagnum 47 0.747 0.089

C25/(C25 + C29)Temperate (40–55� latitude)

Woody Angiosperms 188 0.139 0.203(continued on next page)

R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179 175

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Table A-6 (continued)

Woody Angiosperms (excl.Ericaceae)

59 0.341 0.332

Ericaceae 128 0.105 0.183Sphagnum 47 0.695 0.151

C25/(C25 + C31)Temperate (40–55� latitude)

Woody Angiosperms 187 0.197 0.293Woody Angiosperms (excl.

Ericaceae)69 0.350 0.326

Ericaceae 128 0.132 0.249Sphagnum 47 0.572 0.206

Fig. A-2. Log–log plot of CPI by n-alkane amounts across a

Fig. A-1. ACL calculated using only odd chain length n-alkanes (Odd AClengths (Full ACL). Dashed line is 1:1 line. Solid line is linear regression

176 R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179

APPENDIX A.

APPENDIX B. SUPPLEMENTARY DATA

Supplementary data associated with this article can befound, in the online version, at http://dx.doi.org/10.1016/j.gca.2013.04.016.

ngiosperm habit groups for which data was available.

L) compared with ACL calculated using both odd and even chainline.

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Fig. A-3. Ternary diagrams of African woody angiosperms fromVogts et al. (2009), separated into rainforest and savanna biomes,with African C4 graminoids and forbs. (A) C27, C29, and C31. (B)C27, C29, and C33. C. C27, C29, and C35.

R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179 177

REFERENCES

Avato P., Bianchi G. and Mariani G. (1984) Epicuticular waxes ofSorghum and some compositional changes with plant age.Phytochemistry 23, 2843–2846.

Bingham E. M., McClymont E. L., Valiranta M., Mauquoy D.,Roberts Z., Chambers F. M., Pancost R. D. and Evershed R. P.(2010) Conservative composition of n-alkane biomarkers inSphagnum species: implications for palaeoclimate reconstruc-tion in ombrotrophic peat bogs. Org. Geochem. 41, 214–220.

Bray E. E. and Evans E. D. (1961) Distribution of n-paraffins as aclue to recognition of source beds. Geochim. Cosmochim. Acta

22, 2–15.Brincat D., Yamada K., Ishiwatari R., Uemura H. and Naraoka

H. (2000) Molecular isotopic stratigraphy of long-chain n-alkanes in Lake Baikal Holocene and glacial age sediments.Org. Geochem. 31, 287–294.

Brooks J. R., Flanagan L. B., Buchmann N. and Ehleringer J. R.(1997) Carbon isotope composition of boreal plants: functionalgrouping of life forms. Oecologia 110, 301–311.

Buggle B., Wiesenberg G. L. B. and Glaser B. (2010) Is there apossibility to correct fossil n-alkane data for postsedimentaryalteration effects? Appl. Geochem. 25, 947–957.

Castaneda I. S. and Schouten S. (2011) A review of molecularorganic proxies for examining modern and ancient lacustrineenvironments. Quatern. Sci. Rev. 30, 2851–2891.

Castaneda I. S., Werne J. P., Johnson T. C. and Filley T. R. (2009)Late Quaternary vegetation history of southeast Africa: themolecular isotopic record from Lake Malawi. Palaeogeogr.

Palaeoclimatol. Palaeoecol. 275, 100–112.Chibnall A. C., Piper S. H., Pollard A., Williams E. F. and Sahai P.

N. (1934) The constitution of the primary alcohols, fatty acidsand paraffins present in plant and insect waxes. Biochem. J. 28,2189–2208.

Chikaraishi Y., Naraoka H. and Poulson S. R. (2004) Carbon andhydrogen isotopic fractionation during lipid biosynthesis in ahigher plant (Cryptomeria japonica). Phytochemistry 65, 323–330.

Corrigan D., Kloos C., O’Connor C. S. and Timoney R. F. (1973)Alkanes from four species of Sphagnum moss. Phytochemistry

12, 213–214.Cranwell P. A. (1973) Chain-length distribution of n-alkanes from

lake sediments in relation to post-glacial environmental change.Freshwat. Biol. 3, 259–265.

Cranwell P. A. (1984) Lipid geochemistry of sediments from UptonBroad, a small productive lake. Org. Geochem. 7, 25–37.

Cranwell P. A., Eglinton G. and Robinson N. (1987) Lipids ofaquatic organisms as potential contributors to lacustrinesediments – II. Org. Geochem. 11, 513–527.

Diefendorf A. F., Mueller K. E., Wing S. L., Koch P. L. andFreeman K. H. (2010) Global patterns in leaf 13C discrimina-tion and implications for studies of past and future climate.Proc. Natl. Acad. Sci. 107, 5738–5743.

Diefendorf A. F., Freeman K. H., Wing S. L. and Graham H. V.(2011) Production of n-alkyl lipids in living plants andimplications for the geologic past. Geochim. Cosmochim. Acta

75, 7472–7485.Dodd R. S. and Afzal-Rafii Z. (2000) Habitat-related adaptive

properties of plant cuticular lipids. Evolution 54, 1438–1444.Dodd R. S. and Poveda M. M. (2003) Environmental gradients and

population divergence contribute to variation in cuticular waxcomposition in Juniperus communis. Biochem. Syst. Ecol. 31,1257–1270.

Page 18: Leaf wax n-alkane distributions in and across modern plants ...polissar/OrgGeochem/bush--mciner… · Leaf wax n-alkane distributions in and across modern plants: Implications for

178 R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179

Douglas A. G. and Eglinton G. (1966) The distribution of alkanes.In Comparative Phytochemistry (ed. T. Swain). Academic Press,London.

Dove H. (1992) Using the n-alkanes of plant cuticular wax toestimate the species composition of herbage mixtures. Aust. J.

Agric. Res. 43, 1711–1724.Dyson W. G. and Herbin G. A. (1968) Studies on plant cuticular

waxes – IV. Leaf wax alkanes as a taxonomic discriminant forcypresses grown in Kenya. Phytochemistry 7, 1339–1344.

Eglinton G. and Hamilton R. J. (1963) The distribution of alkanes.In Chemical Plant Taxonomy (ed. T. Swain). Academic Press,London.

Eglinton G. and Hamilton R. J. (1967) Leaf epicuticular waxes.Science 156, 1322–1335.

Eglinton G. and Logan G. A. (1991) Molecular preservation. Phil.

Trans. Roy. Soc. London B 333, 315–328.Ficken K. J., Li B., Swain D. L. and Eglinton G. (2000) An n-

alkane proxy for the sedimentary input of submerged/floatingfreshwater aquatic macrophytes. Org. Geochem. 31, 745–749.

Greenwood D. R. (1991) The taphonomy of plant macrofossils. InThe Processes of Fossilization (ed. S. K. Donovan). ColumbiaUniversity Press, New York.

Gulz P.-G. and Muller E. (1992) Seasonal variation in thecomposition of epicuticular waxes of Quercus robur leaves. Z.

Naturforsch. 47c, 800–806.Gulz P.-G., Muller E. and Prasad R. B. N. (1989) Organ-specific

composition of epicuticular waxes of beech (Fagus sylvatica L)leaves and seeds. Z. Naturforsch. 44c, 731–734.

Handley L., Pearson P. N., McMillan I. K. and Pancost R. D.(2008) Large terrestrial and marine carbon and hydrogenisotope excursions in a new Paleocene/Eocene boundary sectionfrom Tanzania. Earth Planet Sci. Lett. 275, 17–25.

Hanisch S., Ariztegui D. and Puttmann W. (2003) The biomarkerrecord of Lake Albano, central Italy–implications for Holoceneaquatic system response to environmental change. Org. Geo-

chem. 34, 1223–1235.Herbin G. A. and Robins P. A. (1968) Studies on plant cuticular

waxes – III. The leaf wax alkanes and x-hydroxy acids of somemembers of the Cupressaceae and Pinaceae. Phytochemistry 7,1325–1337.

Herbin G. A. and Robins P. A. (1969) Patterns of variation anddevelopment in leaf wax alkanes. Phytochemistry 8, 1985–1998.

Huang Y., Lockheart M. J., Collister J. W. and Eglinton G. (1995)Molecular and isotopic biogeochemistry of the Miocene ClarkiaFormation: hydrocarbons and alcohols. Org. Geochem. 23,785–801.

Jansen B., Nierop K. G. J., Hageman J. A., Cleef A. M. andVerstraten J. M. (2006) The straight-chain lipid biomarkercomposition of plant species responsible for the dominantbiomass production along two altitudinal transects in theEcuadorian Andes. Org. Geochem. 37, 1514–1536.

Jansen B., van Loon E. E., Hooghiemstra H. and Verstraten J. M.(2010) Improved reconstruction of palaeo-environmentsthrough unravelling of preserved vegetation biomarker pat-terns. Palaeogeogr. Palaeoclimatol. Palaeoecol. 285, 119–130.

Jetter R., Kunst L. and Samuels A. L. (2006) Composition of plantcuticular waxes. In Biology of the Plant Cuticle (eds. M.Riederer and C. Muller). Blackwell Publishing, Oxford.

Kawamura K. and Ishiwatari R. (1984) Fatty acid geochemistry ofa 200 m sediment core from Lake Biwa, Japan. Early diagenesisand paleoenvironmental information. Geochim. Cosmochim.

Acta 48, 251–266.Kawamura K., Ishimura Y. and Yamazaki K. (2003) Four years’

observations of terrestrial lipid class compounds in marineaerosols from the western North Pacific. Global Biogeochem.

Cycles 17, 1–19.

Kunst L., Jetter R. and Samuels A. L. (2006) Biosynthesis andtransport of plant cuticular waxes. In Biology of the Plant

Cuticle (eds. M. Reiderer and C. Muller). Blackwell Publishing,Oxford.

Lockheart M. J., van Bergen P. F. and Evershed R. P. (1997)Variations in the stable carbon isotope composition of individ-ual lipids from the leaves of modern angiosperms: implicationsfor the study of higher land plant-derived sedimentary organicmatter. Org. Geochem. 26, 137–153.

Lockheart M. J., van Bergen P. F. and Evershed R. P. (2000)Chemotaxonomic classification of fossil leaves from the Mio-cene Clarkia lake deposit, Idaho, USA based on n-alkyl lipiddistributions and principle component analyses. Org. Geochem.

31, 1223–1246.Maffei M., Mucciarelli M. and Scannerini S. (1993) Environmental

factors affecting the lipid metabolism in Rosmarinus officinalis

L. Biochem. Syst. Ecol. 21, 765–784.Maffei M., Badino S. and Bossi S. (2004) Chemotaxonomic

significance of leaf wax n-alkanes in the Pinales (Coniferales).J. Biol. Res. 1, 3–19.

Marzi R., Torkelson B. E. and Olson R. K. (1993) A revisedcarbon preference index. Org. Geochem. 20, 1303–1306.

Medeiros P. M. and Simoneit B. R. T. (2007) Gas chromatographycoupled to mass spectrometry for analyses of organic com-pounds and biomarkers as tracers for geological, environmen-tal, and forensic research. J. Sep. Sci. 30, 1516–1536.

Medina E., Aguiar G., Gomez M., Aranda J., Medina J. D. andWinter K. (2006) Taxonomic significance of the epicuticularwax composition in species of the genus Clusia from Panama.Biochem. Syst. Ecol. 34, 319–326.

Meyers P. A. (2003) Applications of organic geochemistry topaleolimnological reconstructions: a summary of examplesfrom the Laurentian Great Lakes. Org. Geochem. 34, 261–289.

Meyers P. A. and Ishiwatari R. (1993) Lacustrine organicgeochemistry – an overview of indicators of organic mattersources and diagenesis in lake sediments. Org. Geochem. 20,867–900.

Mugler I., Sachse D., Werner M., Xu B., Wu G., Yao T. andGleixner G. (2008) Effect of lake evaporation on dD values oflacustrine n-alkanes: a comparison of Nam Co (TibetanPlateau) and Holzmaar (Germany). Org. Geochem. 39,711–729.

Nichols J. E., Booth R. K., Jackson S. T., Pendall E. G. and HuangY. (2006) Paleohydrologic reconstruction based on n-alkanedistributions in ombrotrophic peat. Org. Geochem. 37, 1505–1513.

Nichols J., Booth R. K., Jackson S. T., Pendall E. G. and HuangY. (2010) Differential hydrogen isotopic ratios of Sphagnumand vascular plant biomarkers in ombrotrophic peatlands as aquantitative proxy for precipitation – evaporation balance.Geochim. Cosmochim. Acta 74, 1407–1416.

Nott C. J., Xie S., Avsejs L. A., Maddy D., Chambers F. M. andEvershed R. P. (2000) n-Alkane distributions in ombrotrophicmires as indicators of vegetation change related to climaticvariation. Org. Geochem. 31, 231–235.

Osborne R., Salatino M. L. F. and Salatino A. (1989) Alkanes offoliar epicuticular waxes of the genus Encephalartos. Phyto-

chemistry 28, 3027–3030.Osborne R., Salatino A., Salatino M. L. F., Sekiya C. M. and

Torres M. V. (1993) Alkanes of foliar epicuticular waxes fromfive cycad genera in the Zamiaceae. Phytochemistry 33, 607–609.

Otto A., Simoneit B. R. T. and Rember W. C. (2005) Conifer andangiosperm biomarkers in clay sediments and fossil plants fromthe Miocene Clarkia Formation, Idaho, USA. Org. Geochem.

36, 907–922.

Page 19: Leaf wax n-alkane distributions in and across modern plants ...polissar/OrgGeochem/bush--mciner… · Leaf wax n-alkane distributions in and across modern plants: Implications for

R.T. Bush, F.A. McInerney / Geochimica et Cosmochimica Acta 117 (2013) 161–179 179

Pancost R. D., Baas M., van Geel B. and Damste J. S. S. (2002)Biomarkers as proxies for plant inputs to peat: an example fromsub-boreal ombrotrophic bog. Org. Geochem. 33, 675–690.

Peters K. E., Walters C. C. and Moldowan J. M. (2005) The

Biomarker Guide. Cambridge University Press, Cambridge,UK.

Piasentier E., Bovolenta S. and Malossini F. (2000) The n-alkaneconcentrations in buds and leaves of browsed broadleaf trees. J.

Agric. Sci. 135, 311–320.Post-Beittenmiller D. (1996) Biochemistry and molecular biology

of wax production in plants. Ann. Rev. Plant Physiol. Plant

Mol. Biol. 47, 405–430.Quenea K., Derenne S., Largeau C., Rumpel C. and Mariotti A.

(2004) Variation in lipid relative abundance and compositionamong different particle size fractions of a forest soil. Org.

Geochem. 35, 1355–1370.Rinna J., Gunter U., Hinrichs K.-U., Mangelsdorf K., van der

Smissen J. H. and Rullkotter J. (1999) Temperature-relatedmolecular proxies: degree of alkenone unsaturation and averagechain length of n-alkanes. In Proceedings of the Sixteenth

Annual Pacific Climate Workshop, May 24–27, 1999 (eds. J. G.West and L. Buffaloe). The Wrigley Institute for EnvironmentalStudies, Two Harbors, Santa Catalina Island, California.

Rommerskirchen F., Eglinton G., Dupont L., Gunter U., WenzelC. and Rullkotter J. (2003) A north to south transect ofHolocene southeast Atlantic continental margin sediments:relationship between aerosol transport and compound-specificd13C land plant biomarker and pollen records. Geochem.

Geophys. Geosyst. 4, 1101–1128.Rommerskirchen F., Plader A., Eglinton G., Chikaraishi Y. and

Rullkotter J. (2006) Chemotaxonomic significance of distribu-tion and stable carbon isotopic composition of long-chainalkanes and alkan-1-ols in C4 grass waxes. Org. Geochem. 37,1303–1332.

Sachse D., Radke J. and Gleixner G. (2004) Hydrogen isotoperatios of recent lacustrine sedimentary n-alkanes record modernclimate variability. Geochim. Cosmochim. Acta 68, 4877–4889.

Sachse D., Radke J. and Gleixner G. (2006) dD values of individualn-alkanes from terrestrial plants along a climatic gradient–Implications for the sedimentary biomarker record. Org.

Geochem. 37, 469–483.Sachse D., Kahmen A. and Gleixner G. (2009) Significant seasonal

variation in the hydrogen isotopic composition of leaf-waxlipids for two deciduous tree ecosystems (Fagus sylvatica andAcer pseudoplatanus). Org. Geochem. 40, 732–742.

Sachse D., Gleixner G., Wilkes H. and Kahmen A. (2010) Leaf waxn-alkane dD values of field-grown barley reflect leaf water dDvalues at the time of leaf formation. Geochim. Cosmochim. Acta

74, 6741–6750.Sachse D., Billault I., Bowen G. J., Chikaraishi Y., Dawson T. E.,

Feakins S. J., Freeman K. H., Magill C. R., McInerney F. A.,van der Meer M. T. J., Polissar P., Robins R. J., Sachs J. P.,Schmidt H.-L., Sessions A. L., White J. W. C., West J. B. andKahmen A. (2012) Molecular paleohydrology: interpreting thehydrogen-isotopic composition of lipid biomarkers from pho-tosynthesizing organisms. Annu. Rev. Earth Planet. Sci. 40,221–249.

Salasoo I. (1981) Alkane distribution in epicuticular wax of someevergreen Ericaceae. Can. J. Bot. 59, 1189–1191.

Salasoo I. (1983) Alkane distribution in epicuticular wax ofEpacridaceae. Phytochem. 22, 937–942.

Salasoo I. (1987a) Alkane distribution in epicuticular wax of someheath plants in Norway. Biochem. Syst. Ecol. 15, 663–665.

Salasoo I. (1987b) Epicuticular wax alkanes of some heath plants incentral Alaska. Biochem. Syst. Ecol. 15, 105–107.

Salasoo I. (1987c) Epicuticular wax hydrocarbons of Ericaceae inGermany. Z. Naturforsch. 47c, 499–501.

Schefuß E., Ratmeyer V., Stuut J.-B. W., Jansen J. H. F. andDamste J. S. S. (2003) Carbon isotope analyses of n-alkanes indust from the lower atmosphere over the central easternAtlantic. Geochim. Cosmochim. Acta 67, 1757–1767.

Schwark L., Zink K. and Lechterbeck J. (2002) Reconstruction ofpostglacial to early Holocene vegetation history in terres-trial.Central Europe via cuticular lipid biomarkers and pollenrecords from lake sediments. Geology 30, 463–466.

Shepherd T. and Griffiths D. W. (2006) The effects of stress onplant cuticular waxes. New Phytol. 171, 469–499.

Smith F. A., Wing S. L. and Freeman K. H. (2007) Magnitude ofthe carbon isotope excursion at the Paleocene–Eocene thermalmaximum: the role of plant community change. Earth Planet.

Sci. Lett. 262, 50–65.Stransky K., Streibl M. and Herout V. (1967) On natural waxes.

VI. Distribution of wax hydrocarbons in plants at differentevolutionary levels. Coll. Czechoslovak Chem. Commun. 32,3213–3220.

Tipple B. J., Berke M. A., Doman C. E., Khachaturyan S. andEhleringer J. R. (2013) Leaf-wax n-alkanes record the plant-ıwater environment at leaf flush. Proc. Natl. Acad. Sci. 110,2659–2664.

Tu T. T. N., Egasse C., Zeller B. and Derenne S. (2007)Chemotaxonomical investigations of fossil and extant beeches.I. Leaf lipids from the extant Fagus sylvatica L. C. R. Palevol 6,451-461.

Vioque J., Pastor J. and Vioque E. (1994) Leaf wax alkanes in thegenus Coincya. Phytochem. 36, 349–352.

Vogts A., Moossen H., Rommerskirchen F. and Rullkotter J.(2009) Distribution patterns and stable carbon isotopic com-position of alkanes and alkan-1-ols from plant waxes of Africanrain forest and savanna C3 species. Org. Geochem. 40, 1037–1054.

Vogts A., Schefuß E., Badewein T. and Rullkotter J. (2012) n-Alkane parameters from a deep sea sediment transect offsouthwest Africa reflect continental vegetation and climateconditions. Org. Geochem. 47, 109–119.

Vonk J. E. and Gustafsson O. (2009) Calibrating n-alkaneSphagnum proxies in sub-Arctic Scandinavia. Org. Geochem.

40, 1085–1090.Vonk J. E., van Dongen B. E. and Gustafsson O. (2008) Lipid

biomarker investigation of the origin and diagenetic state ofsub-arctic terrestrial organic matter presently exported into thenorthtern Bothnian Bay. Mar. Chem. 112, 1–10.

Wakeham S. G. (1976) A comparative survey of petroleumhydrocarbons in lake sediments. Mar. Pollut. Bull. 7, 206–211.

Zech M., Buggle B., Leiber K., Markovic S., Glaser B., HambachU., Huwe B., Stevens T., Sumegi P., Wiesenberg G. and ZollerL. (2009) Reconstructing Quaternary vegetation history in theCarpathian Basin, SE Europe, using n-alkane biomarkers asmolecular fossils: projects and possible solutions, potential andlimitations. Quatern. Sci. J. 58, 148–155.

Zech M., Krause T., Meszner S., and Faust D. (2013) Incorrectwhen uncorrected: Reconstructing vegetation history using n-alkane biomarkers in loess-paleosol sequences–A case studyfrom the Saxonian loess region, Germany. Quaternary Int. 296,108-116.

Zhang Z., Zhao M., Eglinton G., Lu H. and Huang C.-Y. (2006)Leaf wax lipids as paleovegetational and paleoenvironmentalproxies for the Chinese Loess Plateau over the last 170 kyr.Quatern. Sci. Rev. 25, 575–594.

Associate editor: Peter Hernes