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Alleviating the negative effect of salinity on soil respiration by plant residue addition – effect of residue properties, mixing and amendment frequency HASBULLAH This thesis is presented for the degree of Doctorate Philosophy from The University of Adelaide By prior publication Soils School of Agriculture, Food and Wine The University of Adelaide December 2015

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Page 1: HASBULLAH This thesis is presented for the degree of ... the negative effect of salinity on soil respiration by plant residue addition – effect of residue properties, mixing and

Alleviatingthenegativeeffectofsalinityonsoilrespirationby

plantresidueaddition–effectofresidueproperties,mixingand

amendmentfrequency

HASBULLAH

ThisthesisispresentedforthedegreeofDoctoratePhilosophyfrom

TheUniversityofAdelaide

Bypriorpublication

Soils

SchoolofAgriculture,FoodandWine

TheUniversityofAdelaide

December2015

Page 2: HASBULLAH This thesis is presented for the degree of ... the negative effect of salinity on soil respiration by plant residue addition – effect of residue properties, mixing and

ii

GratefultoGod,theAlmighty

Dedicatedtomylittlefamily

MywifeZatinAndmydaughtersSyadzaandAdella

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TABLEOFCONTENTSACKNOWLEDGEMENTS iv

ABSTRACT vi

DECLARATION x

CONFERENCEPOSTERANDPUBLICATION xi

CHAPTER1:REVIEWOFLITERATURE

1.1 Introduction.................................................................................................................2

1.2 Salinisationprocessandpropertiesofsalt-affectedsoils...........................................4

1.3 Salinityeffectsonplantgrowthandsoilmicrobes.....................................................7

1.4 Soilorganiccarbonpoolsandnutrientturnoverinsaltaffectedsoils........................9

1.5 Functionsoforganicmatterinsoils..........................................................................10

1.6 Effectofresiduepropertiesondecompositionandnutrientrelease.......................11

1.7 Theeffectofresiduemixingandmultipleapplicationsondecomposition..............13

1.8 Knowledgegapsandaims.........................................................................................14

1.9 Structureofthethesis...............................................................................................15

1.10 References.................................................................................................................18

CHAPTER2

Manuscript1:Residuepropertiesinfluencetheimpactofsalinityonsoilrespiration

28

CHAPTER3 Manuscript2:Multipleadditionsofrapidlydecomposableresiduealleviatethenegativeimpactofsalinityonmicrobialactivity

43

CHAPTER4 Manuscript3:Amendingsalinesoilswithresiduemixtures-effectofproportionofslowlyandrapidlydecomposableresidueonresponseofcumulativerespirationtosalinity

71

CHAPTER5 SummaryandGeneralconclusions

106

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ACKNOWLEDGEMENTSFirst and foremost Iwish to thank tomyprincipal supervisor Professor Petra

Marschnerwhohasalwaysbeentheretosupport,guide,andencouragemeduringmy

PhDcandidature. Iamabsolutelygratefulandluckytobeunderhersupervision.She

hasalwaysbeenamentorandteacherwhointroducedmetosoilmicrobiologywhenI

did myMasters. Thank you again Petra for your patience and help during my two

degrees.Ialsowouldliketothankmyco-supervisorSteveBarnettforprovidingother

perspectivesandtheinputstotheproject.

This research project would not have been possible without support from

colleaguesatTheUniversityofAdelaide.ManythankstoColinRiversfortechnicalhelp

andfriendships,tothePlantCellWallgroupforthehelpinligninmeasurement,Karen

Baumannand JeffBaldock for thehelp running theMolecularMixingModel,Ronald

SmernikforrunningmysamplesinNMRandBogumilaTomczakforthehelpwiththe

ICP.

I also would like to express my thanks to all members of Petra’s group for

friendships and help during my candidature. I also thank the postdoctoral visitor

HasinurRahmanandvisiting students fromBrazil, JulianaTakedaandMayaraRocha

forthegreathelpinthelaboratorywork.

Iwish to expressmy thanks to theUniversityofAdelaide for the scholarship

(Adelaide Scholarship International) to undertake my Doctoral degree in the

University.

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IalsowishtothankmylittlefamilyinAdelaide:mywifeZatinforsupportand

encouragement;mytwodaughters (SyadzaandAdella) for theirsoothingsmilesand

laughterwhenIwasdown.ThanksalsotomybigfamilybackhomeinIndonesia,my

mother Hatirah, brothers Unding and Mat and my little sister Yayan who always

supportedmefromthedistance.

Finally,Iwouldliketoacknowledgethatthelandwheremyresearchhasbeen

conducted is the traditional land for the Kaurna people. I also would like to

acknowledgethatKaurnapeoplearethetraditionalcustodiansofAdelaideregion.

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ABSTRACT Salinity is a major constraint to crop production and also contributes to land

degradation,particularly inaridandsemiaridregions.Salinityhasnegativeeffectson

soil microorganisms, reducing soil respiration, microbial biomass and microbial

diversity.Oneofthemainreasonsforthenegativeimpactofsalinityisthelowosmotic

potentialinducedbyhighsaltconcentrationsinthesoilsolutionwhichreduceswater

uptakeintocellsandcancausewaterlossfromcells.Somemicroorganismscanadapt

to salinity by accumulation of osmolytes which is a significant metabolic burden.

Rapidly decomposable plant residues contain high concentrations of easily available

compounds which can be utilised by many soil microbes. Slowly decomposable

residuesontheotherhandcontaincomplexcompoundswhichcanonlybeutilisedby

fewmicrobes, those capable of releasing specialised enzymes to break down these

compounds. If salinity inhibits or kills somemicrobes, the decomposition of rapidly

decomposable residues may be less affected than that of slowly decomposable

residues because the loss of sensitive microbes can be compensated by a larger

numberofmicrobeswiththeformercomparedtothe latter. If this istrue,microbial

activityafteradditionofslowlydecomposableresidues(highinlignincontentandC/N

ratioandlowinwatersolublecarbon)shoulddecreasemorestronglywithincreasing

salinitythanafteradditionofrapidlydecomposableresidues.However,mostprevious

studiesonrespirationinsalinesoilsonlyusedoneortwotypesofplantresidues(e.g.

cerealorlegumeshoots).Afurtherfactorthatmayinfluencetheimpactofsalinityon

soil respiration is the frequency of residue addition. Frequent residue additionmay

provide soil microbes with a continuous supply of nutrients and therefore improve

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salinitytolerancecomparedtoasingleadditionwhereeasilyavailablecompoundsare

rapidly depleted. These two assumptions have not been systematically investigated.

The aimof this projectwas to investigate theeffect of the chemical compositionof

added residues, mixing of residues and addition frequency on soil respiration and

microbial biomass in soilswith different salinity. Three studieswere carried out to

address the aims in non-saline soil and naturally saline soils with different salinity

levels.

The aim of the first study was to investigate the impact of salinity on

respiration in soil amended with residues differing in chemical composition (lignin

concentration, water soluble organic carbon and C/N ratio). Three incubation

experiments were conducted in this study. In the first experiment various residue

types (shoots of wheat, canola, saltbush and kikuyu, saw dust, eucalyptus leaves)

differinginC/Nratio,ligninandwaterextractableorganiccarbonconcentration,were

appliedat2%w/wtoanon-salinesoil(EC1:5,0.1dSm-1)andthreenaturallysalinesoils

with EC1:5 1, 2.5 and 3.3 dS m-1. Cumulative respiration decreased with increasing

salinitybutthenegativeeffectofsalinitywasdifferentamongresidues.Comparedto

non-saline soil, respiration was decreased by 20% at EC1:5 0.3 dS m-1 when slowly

decomposableresidues(sawdustorcanolashoots)wereadded,butatEC1:54dSm-1

when amended with a rapidly decomposable residue (saltbush). In the second

experiment,theinfluenceofresidueC/Nratioandlignincontentonsoilrespirationin

salinesoilswasinvestigated.Tworesidues(canolaandsawdust)withhighC/Nratios

butdifferentlignincontentwereused.TheC/Nratiowasadjustedtobetween20and

80byaddingammoniumsulfate.Increasingsalinityhadsmallerimpactoncumulative

respiration after addition of residueswith C/N ratio 20 or 40 compared to residues

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with higher C/N ratio. In the third experiment, the effect of the concentration of

water-solubleorganicC(WEOC)oftheresidueswasdetermined.WEOCwaspartially

removedbyleachingfromtworesidueswithhighWEOCcontent(eucalyptleavesand

saltbushshoots).PartialWEOCremovaldecreasedcumulativerespirationinsalinesoil

compared to the original residues, but increased the negative effect of salinity on

respirationonlywithsaltbushshoots.

Thesecondstudywasconductedusingthefoursoilsfromthefirststudy(EC1:5,

0.1,1,2.5and3.3dSm-1) tocompare the impactofsingleandmultipleadditionsof

residuesthatdifferindecomposabilityontheresponseofsoilrespirationtoincreasing

salinity. Two residues with distinct decomposability were used; kikuyu with 19 C/N

ratio (rapidly decomposable) and canola with 82 C/N ratio (slowly decomposable).

Both residueswereaddedonceor2-4 times (ondays0,14,28and42)witha total

additionof10gCkg-1soilandincubatedfor56days.Comparedtoasingleaddition,

repeatedadditionoftherapidlydecomposableresiduereducedthenegativeeffectof

salinityoncumulativerespiration,butthiswasnotthecasewithslowlydecomposable

residues.

The third studywas carriedout to investigate theeffectof theproportionof

rapidlyandslowlydecomposableresiduesinamixtureontheimpactofsalinityonsoil

respiration. This study included two experiments with two residues differing in

decomposability (slowly decomposable saw dust and rapidly decomposable kikuyu

grass). In the firstexperiment,bothresidueswereaddedaloneand inmixtureswith

differentratiosintofoursoilshavingEC1:50.1,1.0,2.5and3.3dSm-1.Theadditionof

25%ofrapidlydecomposableresiduesinmixturewithslowlydecomposableresidues

was sufficient to decrease the negative impact of salinity on cumulative respiration

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comparedtotheslowlydecomposableresiduealone.Inthesecondexperiment,three

soilswereused(EC1:50.1,1.0and2.5dSm-1),residueswereaddedonceor3times(on

days 0, 14 and 28) to achieve a total of 10 g C kg-1 soil eitherwith sawdust alone,

kikuyualoneorbothwherefinalproportionofkikuyuwas25%,buttheorderinwhich

the residues were applied differed The negative effect of salinity on cumulative

respirationwassmallerwhentherapidlydecomposableresiduewasaddedearly,that

iswhen the soil contained small amounts of slowly decomposable residues. Salinity

reducedsoilrespirationtoagreaterextentintreatmentswhererapidlydecomposable

residuewasaddedtosoilcontaininglargeramountsofslowlydecomposableresidues.

It isconcludedthatrapidlydecomposableresiduescanalleviatesalinitystress

tosoilmicrobeseveniftheymakeuponlyasmallproportionoftheresiduesadded.By

promoting greater microbial activity in saline soils and providing nutrients, rapidly

decomposable residues could also improve plant growth through increased nutrient

availability.

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DECLARATION

Thisworkcontainsnomaterialwhichhasbeenaccepted for theawardofanyother

degreeordiplomainanyuniversityorothertertiaryinstitutionand,tothebestofmy

knowledgeandbelief,containsnomaterialpreviouslypublishedorwrittenbyanother

person,exceptwhereduereferencehasbeenmadeinthetext.

IgiveconsenttothiscopyofmythesiswhendepositedintheUniversityLibrary,being

madeavailablefor loanandphotocopying,subjecttotheprovisionsoftheCopyright

Act1968.

The author acknowledges that copyright of published works contained within this

thesis(aslistedbelow)resideswiththecopyrightholder(s)ofthoseworks.

Ialsogivepermissionforthedigitalversionofmythesistobemadeavailableonthe

web, via the university’s digital research repository, the Library catalogue, the

Australasian Digital Thesis Program (ADTP) and also through web search engines,

unlesspermissionhasbeengrantedbytheUniversitytorestrictaccessforaperiodof

time.

Hasbullah Date:16December2015

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CONFERENCEPOSTERANDPUBLICATION

Hasbullah, H. and P.Marschner, 2012. Residue decomposition in salt-affected soils:

effectofresidueproperties,JointSSAandNZSSSSoilScienceConference,Soilsolutions

fordiverselandscapes,Hobart-Tasmania,Australia.

Hasbullah,H.andP.Marschner,2015.Residuepropertiesinfluencetheimpactof

salinityonsoilrespiration.BiologyandFertilityofSoils,51(1):99-111.Availablefrom

http://dx.doi.org/10.1007/s00374-014-0955-2.DOI10.1007/s00374-014-0955-2.

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CHAPTER1:

Introductionandreviewofliterature

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CHAPTER1:INTRODUCTIONANDREVIEWOF

LITERATURE

1.1 Introduction

Salt-affectedsoilscanbefoundinallclimatezones,buttheyaremostwide-spread

inaridandsemi-aridregions(Rengasamy,2006).Duetothelowrainfallintheseareas,

leaching of the salts from the root zone is limited, resulting in the accumulation of

solublesaltsandaffectingsoilproperties(Fariftehetal.,2006).Salinityaffects5-9%of

cultivated land (Pessarakli and Szabolcs, 1999; Lambers, 2003) induced most

commonly by sodium salts. However, in some soils relatively high concentrations of

othercationscanalsobefounde.g.:calciumandmagnesium.Sodiumsalinityisalsoa

major problem inmost saline soils in Australia, which comprise around 30% of the

total land. Salt-affected soils can also be sodic, that is, characterised by a high

proportionofsodiumonexchangesites.Sodicitycausesdispersionofsoilparticlesand

thus poor soil structure. Furthermore, Australian soils can also be saline-sodic

(Rengasamy,2006).Duetothelargeextentofsalt-affectedsoilsinmanyregionsofthe

world it is important to better understand nutrient, and particularly organic carbon

dynamicsinthesesoils.Salinityaffectssoilorganicmatter(SOM)contentandturnover

intwoways:byreducingplantgrowthandthereforeorganicCinputandbydecreasing

microbial activity and thus rates of organic matter decomposition and CO2 release

(Setia et al., 2011a). The negative effect of salinity is due to (i) the low osmotic

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potential of the soil solutionwhichmakes itmoredifficult for organisms to takeup

waterandmaintaincellturgor(Hagemann,2011),and(ii)iontoxicity(NaandCl)and

imbalance(lowK/Naratio)(Marschner,2012).

Salinityhasbeenshowntodecreasemicrobialactivity(Tripathietal.,2006;Yuan

et al., 2007; Chowdhury et al., 2011a; Setia et al., 2011b), the size of themicrobial

biomassandmayreducemicrobialdiversity(RietzandHaynes,2003).Salinitytolerant

microbesmaysynthesizeosmolytestocounteractthelowosmoticpotentialofthesoil

solution(Hagemann,2011).However,thesynthesisoftheseosmolytes,e.g.polyolsin

fungi and amino acids in bacteria, requires large amounts of energy (Oren, 1999;

Beales,2004).

Organic matter addition can increasemicrobial activity in non-saline and saline

soils (Chowdhury et al., 2011a; de Souza Silva and Fay, 2012; Yan and Marschner,

2012)andreducethenegative impactofsalinityonsoil respiration.Decomposability

of organic matter and therefore its availability as energy source for microbes is

influencedbyorganicmatterpropertiessuchasC/Nratioandlignincontent(Abivenet

al.,2005;Xuetal.,2006).Rapidlydecomposablecompoundscanbeutilisedbymany

different microbial species, whereas slowly decomposable compounds such as

cellulose and lignin are decomposedonly by a small subset of the community (Berg

and McClaugherty, 2008; Sinsabaugh, 2010; Nannipieri et al., 2012). If a certain

number of microbial species is killed by salinity, the relative decomposition rate of

lignin-rich, highC/N ratio and lowWEOC residuesmaydecrease to a greater extent

with increasing salinity than that of rapidly decomposable residues. However, most

previous studies on decomposition in salt-affected soils used only one type of plant

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residue (e.g. clover, cerealor legumeshoots) (Nelson etal.,1996;Chowdhury etal.,

2011a).

When plant residues are added to soil, the concentration of readily available

organic carbon is initially high, but is rapidly depleted through decomposition until

onlythemorerecalcitrantcompoundsremaine.g.: ligninandcellulose(Abivenetal.,

2005; Fang et al., 2005). If the supply of readily available organic carbon is more

consistentviamultipleadditions,salinitytolerancemightbeimproved.

Slowlydecomposableresiduessuchassawdustormaturecerealstrawareusually

available at lower cost and in greater quantity than rapidly decomposable residues

(legume shoots or young grass). The utilisation of mixtures of slowly and rapidly

decomposable residues in salinity alleviation would be an economical option. The

followingliteraturereviewwilldiscuss(a)theprocessofsalinisationandpropertiesof

salt-affectedsoils,(b)salinityeffectsonplantgrowthandsoilmicrobes,(c)soilorganic

Cpoolsandnutrientturnover insaltaffectedsoils, (d)functionsoforganicmatter in

soils, (e)theeffectofresiduepropertiesondecompositionandnutrientrelease,and

(f)theeffectofresiduemixingandmultipleapplicationsondecomposition.

1.2 Salinisationprocessandpropertiesofsalt-affectedsoils

Althoughtheamountofsaltfromrainwaterislow,overalongperiodoftimelarge

amounts of salt can accumulate in soil in the absence of leaching by fresh water.

Therearetwomaintypesofsalinity:primaryandsecondarysalinity(Richards,1954).

Primary salinity occurs when salt accumulates from rock weathering and rainfall.

Secondarysalinity isduetohumanactivitiessuchastheaccumulationofsaltcaused

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by irrigation with saline water or changing the water balance by land clearing

(Ghassemietal.,1995). If the inputof salt isgreater than the loss through leaching,

salt will be accumulated and salt-affected soils are formed (Rengasamy, 2006;

Marschner,2012).

Table1.Propertiesofsaltaffectedsoils(forexplanationofterms,seetextbelow)

Soil ECe(dSm-1) pH ESP SARe

NonSaline <4 <8.5 <15 <13

Saline >4 <8.5 <15 <13

Salinesodic >4 <8.5 >15 >13

Sodic <4 >8.5 >15 >13

(BradyandWeil,2008)

Salinity is measured as electrical conductivity (EC) of the soil solution

(Marschner, 2012). Saline soils are soils with salt concentrations > 4 dS m-1 in the

saturated soil paste (ECe), but their Sodium Adsorption Ratio (SARe) is less than 13

(BradyandWeil,2008)andthepHofthesaturatedpasteextractisbelow8.5(Table1).

SARiscalculatedfromsolubleNa+,Ca

2+andMg

2+concentrationsinmmolL

-1usingthe

followingequation:

!"# = [!"!]( !"!! + !"!! )

PlantgrowthcanbereducedatECe4dSm-1(Ghassemietal.,1995;Bradyand

Weil,2008;Marschner,2012).However,thisthresholddependsonotherfactors,such

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asclimate,soil-watercontentandcropgenotype(Maas,1986).Forexample,thesalt

concentration in the soil solution of a dry soil is higher than in saturated soil

(Rengasamy,2002).

Salt-affected soils include saline-sodic and sodic soils. Saline-sodic soils have

ECe > 4dSm-1, SARe>13andpH<8.5. Sodium salinity is thepre-dominant typeof

salinity and it can lead to the formation of saline-sodic and sodic soils (Rengasamy,

2006). In general, soils are initially saline and become sodic when sodium replaces

calciumandmagnesiumfromthecationexchangesiteswhichcausesclayparticlesto

disperse (Rengasamy et al., 1984). However, the high salt concentration in the soil

solution of saline-sodic soils (ECe> 4 dS m-1 and SAR > 13) can prevent dispersion

(ShainbergandLetey,1984;SumnerandNaidu,1998).Insaline-sodicsoils,theexcess

cations provided by salt move close to the negatively charged colloid surfaces ,

therebyreducingparticlerepulsion(BradyandWeil,2008).Whensodiumleachesfrom

the soil profile, saline soils can become sodic, that is ECe < 4 dSm-1but SARe > 13

(Rengasamy,2006).Sodicitycanalsobeexpressedinexchangeablesodiumpercentage

(ESP).ThisvalueiscalculatedfromtheconcentrationsofexchangeableNa+incmol(+)

kg-1andcationexchangecapacity(CEC)cmol(+)kg

-1usingthefollowingformula:

!"# = !""[ !"!" ! ] !"!

However, the definition of sodicity differs with classification system (Rengasamy,

2006).InAustralia,asoilisclassifiedassodicwhentheESPis>6(Isbell,2002),while

accordingtotheU.SsystemsodicsoilshaveESP>14(SoilSurveyStaff,1994).Sinceit

is laboriousand time consuming todetermineCEC for the calculationof ESP, SAR is

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oftenusedtodeterminesodicity.In1:5soilwaterextracts,theESPcanbecalculated

usingthefollowingequation(Rengasamyetal.,1984):

!"# = 1.95 ∗ !"# + 1.8

1.3 Salinityeffectsonplantgrowthandsoilmicrobes

The growthofmanyplants is negatively affectedat ECe > 4dSm-1 (Mooney, 1999).

According toMunns and Tester (2008), there are twomain factors for the negative

impact of salinity on plants and soilmicroorganisms: osmotic stress and ion-specific

stress.Highsaltconcentrationorlowosmoticpotentialinhibitwateruptake,nutrient

absorption and even draws water out of cells causing dehydration (Tester and

Davenport, 2003). At low water content, ECe< 4 dS m-1 can reduce plant growth

because the concentration of the salts in the soil solution increases and

correspondinglytheosmoticpotentialdecreases(Rengasamy,2002;Chowdhuryetal.,

2011b). Excessive uptake of Na+ and or Cl

- leads to ion toxicity (Munns and Tester,

2008). Ion imbalance can occur for example, when high Na+ uptake reduces K

+

concentrations in cells which can reduce enzyme activity (Marschner 2012). These

negativeeffectsofsalinitycanreduceseedgerminationanddensity,plantgrowthand

productivityorevencauseplantdeath.Ithasbeenshownthatsalinitystressdecreases

wheatgrowth(Rengasamy,2010)andyield(Richards,1983;Bajwaetal.,1986),maize

andriceyield (Bajwaetal.,1986).Thereducedplantgrowth insalinesoils results in

loworganicmatterinputintothesoil(RietzandHaynes,2003).However,theeffectof

salinitydependsnotonlyontheconcentrationof thesalts inthesoil,butalsoother

factorssuchassoilwatercontent,soiltextureandtypeofsalt(Marschner,2012).

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High concentration of salts in the soil solution negatively influences not only

plantgrowth,butalsoaffectsactivity,structureandsizeofmicrobialcommunitiesand

important biochemical processes involved in the turnover of soil organic matter

(Pankhurstetal.,2001;RietzandHaynes,2003;Chowdhuryetal.,2011a).Ithasbeen

shown that microbial activity (soil respiration) decreases with increasing salinity

(Wichern et al., 2006; Chowdhury et al., 2011a; Setia et al., 2011c). Changes in

microbial community composition are due to the different ability of microbial

genotypestotoleratesalinityandlowosmoticpotentialofthesoilsolution(Llamaset

al., 2008). For example, fungiwhich are particularly important for decomposition of

celluloseandlignin,havebeenreportedtobemoresensitivetosalinitythanbacteria

(Pankhurst et al., 2001; Wichern et al., 2006). Some microbes have the ability to

tolerate or adapt to salinity, especially thosewhich are regularly exposed to salinity

(Sparlingetal.,1989).AccordingtoKillham(1994),therearetwomainstrategiesfor

microorganisms to adapt to osmotic stress (salinity, drought or freezing). Both

strategies are based on the accumulation of cell solutes (so-called osmolytes) to

counteract the low osmotic potential in the soil solution (Killham, 1994). The first

mechanism is toexcludecertainsolutessuchasNa+andCl

-,and insteadaccumulate

ions necessary for metabolic processes (e.g. NH4+). Microbes in very saline

environments, such as salt lakes, may also accumulate ions such as Na+ and Cl

-.

However this requires enzymes tolerant to high concentrations of these ions. The

second strategy is producing organic osmolytes. These strategies pose a metabolic

burden for microorganisms and reduce energy available for growth. Changes in

microbial activity and community composition have important implications for soil

fertilityandnutrientcyclingandthereforeplantgrowthinsalinesoils.

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1.4 Soilorganiccarbonpoolsandnutrientturnoverinsaltaffectedsoils

Thesoilcontainsthe largestactiveCpool interrestrialecosystems.Globally,there is

1580PgCstoredinsoils,whichistwicetheamountofCintheatmosphere(750Pg);

compared to this there is only 610 Pg C stored in vegetation (Kimble and Stewart,

1995; Janzen, 2004). Hence, changes in soil organic matter (SOM) strongly affect

atmosphericCO2concentrations(Laletal.,2007).Soilscanbeasource,butalsoasink

of CO2 from the atmosphereby formationof stable SOM fromplantmaterial (Raich

andPotter,1995).

Soil organic carbon (SOC) can be divided into three main pools. The size of

thesepoolsdependsontheamountofCinputandenvironmentalconditionssuchas

climate and soil type. The active pool has a turnover time of weeks; it consists of

readily oxidisable materials, such as microbial biomass and plant residues recently

addedtosoil(Schnüreretal.,1985).Theslowpool,alsoreferredtoashumus, isthe

largestpoolandcontainsmoderatelydecomposablematerialsusuallyassociatedwith

macroandmicro-aggregatesandhasaturnovertimeofdecades(Partonetal.,1987).

Thethirdpoolisthepassivepool,whichhasaturnovertimeofmillionsofyears.This

poolcontainsstableCwhichisresistanttofurtherdegradation(Schimeletal.,1994).

InAustraliansoils,thispoolismainlycharcoal(CloughandSkjemstad,2000;Lehmann

etal.,2008).

SalinityandsodicityaffectSOCandSOMdynamicsintwoways:(i)byreducing

plant growth and therefore the input of organicmatter (Setia et al., 2011a) and (ii)

inhibitingmicrobialactivityandthereforeorganicmatterdecomposition.

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1.5 Functionsoforganicmatterinsoils

Organicmatter improvesphysical, chemical andbiological propertiesof soils.

The addition of organic matter to soils improves porosity (Pagliai et al., 1995),

particularlyinclaysoils.Furthermore,organicmatterincreasessoilaggregatestability

(TisdallandOades,1982)andmayreducesoilcompactionbyincreasingtheresistance

to deformation and/or by improving elasticity (Soane, 1990). Organic matter also

improvessoilstructurebyincreasingfungalandrootgrowthwhichbindsoilparticles

(TisdallandOades,1982).Organicmatter isalsoanutrientsourcebybindingcations

andthroughmineralisationoforganicnutrients(Nuruzzamanetal.,2005;Hasbullahet

al.,2011).

Organicmatter isvery important forsoilmicrobialactivity.AccordingtoSwift

etal.(1979),therearethreemajorcomponentsoforganicmatterthataresignificant

to decomposer organisms: energy source; nutrients other than C (nitrogen,

phosphorus etc.); and modifiers such as polyphenolic compounds and amino acids,

which are released in relatively low concentrations during decomposition of organic

material and which regulate (stimulate or inhibit) the activity of decomposer

organisms.TheCinorganicmaterial isutilisedbydecomposerorganismsasasource

ofenergy(viarespiration)andtobuildupbiomass.Thisenergyisstoredintissuesina

varietyofcompounds,suchaslipids,polysaccharides,proteinsandaromaticpolymers

(Swiftetal.,1979).

According to Marschner and Rengel (2007), the decomposition of organic

matter plays an important role in nutrient cycling.Microorganisms release inorganic

nutrients that are available for plants and affect the availability of nutrients via

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oxidation, solubilisation, reduction and chelation. They also regulate storage and

releaseofnutrientsinorfromthemicrobialbiomassandactasaregulatorbyrelease

ofsubstancesthatinhibitorstimulateplantgrowth.

1.6 Effectofresiduepropertiesondecompositionandnutrientrelease

Thedecompositionrateofresiduesdependsonanumberoffactors,includingresidue

propertiesandenvironmentalfactors.Baldock(2007)summarisedthatdecomposition

of organic matter depends on biochemical properties of the organic matter,

accessibility and decomposer community composition. This review will focus on

residueproperties.Residuepropertiessuchasparticlesizeandchemicalcomposition

including contents of lignin or hemicelluloses, water soluble C and C/N ratio are

particularlyimportant(AngersandRecous,1997;SilverandMiya,2001;Abivenetal.,

2005;Zhangetal.,2008).

Residues with small particle size are decomposed faster than residues with

largeparticlesize(Bremeretal.,1991;AngersandRecous,1997)becausetheyhavea

greatersurfacearea/volumeratioandthereforegreateraccessibilitytosoilmicrobes

(AngersandRecous,1997).

Simple organicmolecules e.g. glucose can be utilised bymanymicrobes, but

bacteriahaveonlya limitedability todecomposecomplexcompoundssuchas lignin

because they do not produce the enzymes required for its break-down (Berg and

McClaugherty, 2008). Many fungi on the other hand, release hydrolytic enzymes

required for lignin breakdown, for example, white-rot fungi have the ability to

mineralise lignin intoH2OandCO2 (Berg andMcClaugherty, 2008). Residueswith a

high concentration of water soluble carbon and low lignin content and C/N ratio

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decompose rapidly compared to residueswith the opposite properties (Swift et al.,

1979; Tian et al., 1992;Martens, 2000; Xu et al., 2006). Elmajdoub andMarschner

(2013)foundthatthenegativeimpactofsalinityonsoilrespirationwassmallerwhen

organicCwasaddedasglucosecomparedtocellulose.

The concentration of water soluble C is an important residue property,

especially in the early stages of decomposition process (Heal et al., 1997). Previous

studiesreportedthat the initialCmineralisationratewasstronglydependentonthe

amountofinitiallypresentsolubleCinplantresidues(Trinsoutrotetal.,2000;Shiand

Marschner, 2014). This is because soilmicrobes can easily take up and break down

soluble compounds such as amino acids and soluble sugars (Marschner and Noble,

2000).Afterdepletionof thesolublecompounds,complexcompoundssuchas lignin

remain(Abivenetal.,2005)whichcontrolthefateoforganicCinthemediumtolong-

term (Heal et al., 1997). It has been shown that organic matter with high

concentrationsofcomplexcompounds(ligninorotherpolyphenols)decomposeslowly

(Vanlauweetal.,1996;Abivenetal.,2005)..

Nitrogenisessentialbuildingblockforaminoacidsandproteinsandtherefore

critical for cell metabolism. Thus, plant residue N concentration is an important

propertynotonlyformicrobialactivityandgrowth,butalsoforNmineralisation(Heal

et al., 1997). Plant residues with high N concentration (low C/N ratio) decompose

faster than those with low N concentration because they provide microbes with

sufficientN (Swift etal,. 1979; Tian etal., 1992;Xu etal., 2006 ).However,another

study showed that decomposition of added plant residues depended on soluble C,

cellulose and lignin content, but not on N concentration (Trinsoutrot et al., 2000).

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Manystudieshavebeencarriedoutinnon-salinesoils,buttherelativeimportanceof

differentresiduepropertiesfordecompositionisnotclearandlikelytodependonsoil

properties (e.g. N availability) and decomposer community composition. However,

there is little information about how residue decomposability affects the impact of

salinityonsoilmicrobialactivity.

1.7 Theeffectofresiduemixingandmultipleapplicationsondecomposition

In natural andagricultural ecosystems, residues fromdifferentplant speciesmaybe

mixedanddecomposedtogether.Decompositionofmixedresiduesmaybeincreased,

decreasedorunchangedcomparedtothatpredictedbasedonthedecompositionof

single residues (Gartner and Cardon, 2004). Increased decomposition has been

attributed to nutrient transfer, for example, N transfer from high N residues to

residueswith lowNconcentration (Handayanto etal., 1997;McTiernan etal., 1997;

Wardleetal.,1997);orincreaseddiversityofthedecomposercommunityasaresultof

residuediversity(Schweitzeretal.,2005).Alowerthanpredicteddecompositionmay

be due to release of inhibitory compounds from one of the residue (Gartner and

Cardon 2004). There is little information about the impact of salinity on microbial

activityinsoilsamendedwithmixturesofresidueswithdifferentproperties.

Inmostofthestudiesonresiduemixing,residuesareaddedatthesametime

(Bonanomi etal., 2010;MaoandZeng,2012; Shi etal., 2012).Multipleadditionsof

residues could be a strategy tomanipulate soil respiration and nutrient availability.

RecentlyMarschner et al. (2015) found in non-saline soil that nutrient release from

lowC/NresiduefollowingadditionofhighC/NresiduewaslowerthanthatoflowC/N

following low C/N residue. Similarly, Carrillo et al. (2012) reported that available N

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afterasecondadditionofresidueswasinfluencedbythepropertiesofthepreviously

added residue. These studies were carried out in non-saline soil and less is known

about decomposition and nutrient release when residues are added repeatedly to

saline soil and how this influences the impact of salinity on microbial activity.

ElmajdoubandMarschner(2015)showedthatwiththesametotalamountofCadded,

theeffectof salinityon soil respirationwas smallerwithwhena residuewasadded

twiceorthreetimescomparedtoasingleaddition.Inthatstudy,onetypeofresidue

was added. It is not clear if this effect of repeated residue addition also applies to

otherresiduesorwhendifferenttypesofresiduesareaddedrepeatedly.

1.8 Knowledgegapsandaims

Highsaltconcentrationinsoilhasdetrimentalimpactsnotonlyoncropgrowth

and yield, but also onmicrobial activity. There aremany studies on the impact of

salinity on soilmicrobial activity, however,mostly focusing on soil properties;when

amendmentswereappliedonlyoneortwotypesoforganicamendmentswereused.

Further,theeffectofresiduemixingorrepeatedresidueadditiononmicrobialactivity

insalinesoilshasnotbeenconsidered.Forthisstudy,itwashypothesisedthatsalinity

hasasmallernegativeeffectonsoilrespirationwithadditionofrapidlydecomposable

residues compared to slowly decomposable residues. And that the effect of residue

decomposability on soil respiration in saline soils is modulated by residue addition

frequencyandmixing.Hence,thepresentstudyhasthefollowingaims:

a. To investigate the impact of salinity on respiration in soil amended with

residues differing in chemical composition (lignin concentration, water

solubleorganiccarbonandC/Nratio).

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b. Tocomparetheeffectofsingleandmultipleadditionsofresiduesdifferingin

decomposability on the response of soil microbial activity to increasing

salinity.

c. To determine the impact of the proportion of rapidly and slowly

decomposableresiduesinamixtureontheeffectofsalinityonsoilmicrobial

activity.

1.9 Structureofthethesis

Chapter1consistsoftheintroductorybackgroundandreviewofliteratureson

the issue.Thestructureof the followingchapters (fromChapters2 to5) is shown in

Figure1.

Previousstudies(Chowdhuryetal.,2011a;YanandMarschner,2012)showed

thatresidueamendmentscanimprovemicrobialactivityinnon-salineandsalinesoils

and another study (Setia andMarschner, 2013) suggested that decomposability of

residuesaffectstheimpactofsalinitytosoilrespiration.However,inmoststudiesonly

one or two residueswere used and therefore provided little information about the

influenceofresiduecompositionontheimpactofsalinitytosoilrespiration.Thefirst

studywasconductedtoinvestigatetheinfluenceofresiduechemicalpropertiesonthe

impactof salinity to soil respiration (Chapter2). In this study, various typesofplant

residueswithdifferentchemicalcompositionwereaddedoncetoanon-salinesoiland

soilswithdifferentlevelsofsalinity.Thestudyfoundthatpropertiesofplantresidues

suchasligninandwatersolubleCconcentrationandC/Nratioinfluencetheresponse

ofmicrobialactivitytoincreasingsalinity.

Anotherfactoraffectingplantdecompositionandcouldthereforeinfluencethe

impact of salinity on soil respiration is repeated additions of residues that differ in

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decomposability(Carrilloetal.,2012;Marschneretal.,2015).Hence,theobjectiveof

the study in Chapter 3 was to investigate the effect of addition frequency on the

impact of salinity to microbial activity. In this study, two residues with distinct

propertieswere chosen from the first study in Chapter 2 and added once, twice or

three times to achieve a total addition of 10 g C kg-1 soil. The results of this study

suggestthatrepeatedadditionofrapidlydecomposableresiduesreducedthenegative

effect of salinity on soil respiration compared to a single addition. Chapter 4 also

coverstheameliorationpotentialofmultipleadditionsbutwithrepeatedadditionof

residues with different properties. The study found that 25% of a rapidly

decomposable residuemixed with a slowly decomposable residue was sufficient to

alleviate the negative effect of salinity compared to a single addition of slowly

decomposable residues. The study also suggests that early addition of rapidly

decomposableresidues,that iswhenlittleslowlydecomposableresidueispresent in

thesoilismoreeffectivethanlateaddition.

Finally,Chapter5summarizestheconclusionoftheresearchchaptersandgives

suggestionsforfuturestudies.

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Figure1.Thesisstructure

Chemicalpropertiesofamendedresidues

(Chapter2)

Multipleadditions

Salinityimpactonsoilmicrobialactivity

Mixingresiduesofdifferentchemical

properties: beforeorafteradditiontosoil

(Chapter4)

Singleresidueaddition

(Chapter2)

Proportionofmixingresidueswithdifferentchemicalproperties

(Chapter4)

Amendmentfrequency

(Chapter3)

Conclusion(Chapter5)

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Wardle, D., K. Bonner and K. Nicholson, 1997. Biodiversity and plant litter:

Experimentalevidencewhichdoesnotsupporttheviewthatenhancedspecies

richnessimprovesecosystemfunction.Oikos,79(2)::247-258.

Wichern,J.,F.WichernandR.G.Joergensen,2006.Impactofsalinityonsoilmicrobial

communitiesandthedecompositionofmaizeinacidicsoils.Geoderma,137(1):

100-108.

Xu, J., C. Tang and Z.L. Chen, 2006. Chemical composition controls residue

decomposition in soils differing in initial ph. Soil Biology and Biochemistry,

38(3):544-552.

Yan, N. and P. Marschner, 2012. Response of microbial activity and biomass to

increasing salinity depends on the final salinity, not the original salinity. Soil

BiologyandBiochemistry,53(0):50-55.

Yuan, B.-C., Z.-Z. Li, H. Liu, M. Gao and Y.-Y. Zhang, 2007. Microbial biomass and

activityinsaltaffectedsoilsunderaridconditions.AppliedSoilEcology,35(2):

319-328.

Zhang,D.,D.Hui,Y.LuoandG.Zhou,2008.Ratesoflitterdecompositioninterrestrial

ecosystems:Global patterns and controlling factors. Journal of Plant Ecology,

1(2):85-93.

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CHAPTER2:Manuscript1

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29

Chapter2

Residuepropertiesinfluencetheimpactofsalinityonsoilrespiration

HasbullahandPetraMarschner

SchoolofAgriculture,FoodandWine,TheUniversityofAdelaide,Adelaide,Australia.

BiologyandFertilityofSoils2015;51(1),99-111,DOI:10.1007/s00374-014-0955-2

withpermissionfromSpringerScienceandBusinessMedia

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Hasbullah, H. & Marschner, P. (2015). Residue properties influence the impact of salinity on soil respiration. Biology and Fertility of Soils, 51(1), 99-111

NOTE:

This publication is included on pages 30 - 42 in the print copy of the thesis held in the University of Adelaide Library.

It is also available online to authorised users at:

http://dx.doi.org/10.1007/s00374-014-0955-2

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CHAPTER3:Manuscript2

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Chapter3

Multipleadditionsofrapidlydecomposableresiduealleviatethenegativeimpactofsalinityonmicrobialactivity

HasbullahandPetraMarschner

SchoolofAgriculture,FoodandWine,TheUniversityofAdelaide,Adelaide,Australia.

SubmittedtoCSIROPublishing:SoilResearch

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Multipleadditionsofrapidlydecomposableresiduealleviatethenegativeimpactofsalinityonmicrobialactivity

HasbullahHasbullah,PetraMarschnerSchoolofAgriculture,FoodandWine,TheUniversityofAdelaide,AdelaideSA5005,Australia

Abstract

Previouslywefoundthatthereductioninsoilrespirationwithincreasingsalinitywas

smaller in soils amendedwith rapidly decomposable residues (high concentrationof

water extractable carbon, low C/N and lignin concentration) compared to slowly

decomposableresidues(lowconcentrationofwaterextractablecarbon,highC/Nand

ligninconcentration).However,withasingleresidueaddition,availableorganiccarbon

will be quickly decomposed until only recalcitrant compounds remain. A more

consistent supplyof residuesmay improve the toleranceofmicrobes to salinity,but

thiseffectmaydependon residuedecomposability.A56-day incubationexperiment

was conductedwith four loam soils having EC1:5 0.1, 1, 2.7 and3.7 dSm-1amended

onceor2-4timeswithfinelygroundslowlydecomposablecanola(C/N82)andrapidly

decomposablekikuyuresidues(C/N19)toachieveatotaladditionof10gCkg-1soil.At

all salinity levels and with both residues, cumulative respiration two weeks after

addition of 10 g C kg-1 was higher with multiple additions compared to a single

addition.Comparedtoasingleaddition,thereductionofcumulativerespirationwith

increasing salinity was smaller with repeated addition of rapidly decomposable

residue,butwasthisnotthecasewithslowlydecomposableresidue.

Keywords:cropresidues,decomposition,organicCavailability,salinity

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Introduction

Salinity is one of the major constraints to crop production and contributes to land

degradation,particularlyinaridandsemiaridregions(Rengasamy,2008).InAustralia,

salinityaffectsabout3millionhectaresand15millionhectaresmaybecomesalinein

the comingdecade (Beresford, 2002). Salinity developswhen salt loss by leaching is

lessthanthesaltadditionfromlowqualityirrigationorrainfalloristheresultofrising

of saline ground water (Hutson et al., 1990; Pitman and Läuchli, 2002; Rengasamy,

2002). Salinity reduces plant growth by inhibiting water uptake through osmotic

effects (Munns, 2002) and induction of ion imbalance or ion toxicity (Munns and

Tester,2008).

Saltaccumulationinsoilnotonlyadverselyaffectsplantgrowthandyield,soil

physical and chemical properties but also soil microbes (Rietz and Haynes, 2003;

Tejada et al., 2006; Tripathi et al., 2006). It can be detrimental for sensitive

microorganisms and increases the metabolic load of surviving cells through energy

required for tolerancemechanisms, suchas accumulationofosmolytes (Oren, 1999;

Hagemann, 2011). According toOren (1999), synthesis of osmolytes requires up to

four timesmoreenergy than cellwall synthesis. This suggests that supplyof energy

through addition of organic matter may reduce the negative impact of salinity on

microbialactivity.

It has been shown that organic matter amendment to saline soil improves

chemical,physicalandbiologicalproperties(El-Shakweeretal.,1998).Soilrespiration

andmicrobialbiomassareimportantindicatorsofsoilqualityandhealth(Kennedyand

Papendick, 1995) because they are of microbial activity, organic matter

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decomposition and nutrient release (Kennedy and Papendick, 1995; Schloter et al.,

2003).Inapreviousstudyweshowedthatplantresidueadditionreducedthenegative

impact of salinity on respiration, but the ameliorative effect depended on the

propertiesoftheorganicamendment(HasbullahandMarschner,2014).Thereduction

in respiration with increasing salinity was smaller in soils amended with rapidly

decomposable residues compared to slowly decomposable residues. This can be

explained by the greater supply of energy for salinity tolerance mechanisms and

growthfromrapidlydecomposingresiduescomparedtoslowlydecomposingresidues.

When plant residues are added to soil, the supply of easily available organic C (e.g.

sugars, organic acids, amino acids) is high initially, but decreases as they are

decomposeduntilonly slowlydecomposablecompoundssuchascelluloseand lignin

remain (Abiven et al., 2005; Fang et al., 2005). A more consistent supply of easily

availableorganicCthroughmultipleresidueadditionsmayimprovemicrobialsalinity

tolerance.

Theaimofthisstudywastocomparetheeffectofsingleandmultipleadditions

ofresiduesdifferingindecomposabilityontheresponseofsoilrespirationtosalinity.

Wehypothesisethatthereductioninsoilrespirationwithincreasingsalinityissmaller

withmultiple additionsof residues compared toa single addition. Thishypothesis is

basedontheassumptionthatmultipleadditionsprovideamoreconsistentsupplyof

rapidlydecomposableorganicC.

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Materialsandmethods

Soils

Soils were collected from 0-30 cm depth in Monarto, South Australia (35°05ʹS and

139°06ʹE) inareaswith salinitypatcheswhichwere recognisablebypoorplant cover

(Table1).Thefoursoilsareofsimilartexture(loam),butdifferinelectricalconductivity

(EC)asameasureof salinity;anon-salinesoilEC1:50.14dSm-1and threesalinesoils

withEC1:51.3,2.7and3.7dSm-1.Thisrangeofsalinitywaschosenbasedonprevious

studies (Chowdhury et al., 2011;Mavi et al., 2012) to induce amoderate to strong

decrease in respiration by salinity. The saline soils were also sodic (exchangeable

sodiumpercentage (ESP)>6forAustraliansoils)(Isbell,2002).In1:5soil-waterextracts

ESPcanbecalculatedbyfollowingequation(Rengasamyetal.,1984):

!"# = 1.95 ∗ !"# + 1.8

Thesoilsdidnotdisplaydispersivebehaviourassociatedwithsodicitybecausethehigh

salt concentration in the soil solution causes flocculation of soil particles (Shainberg

and Letey, 1984; Sumner andNaidu, 1998). After collection, the soilswere air-dried,

sievedto<2mmandstoreduntilbeingusedfortheexperiment.

Plantresidues

Two residues differing in decomposability were used: slowly decomposable mature

canolashoots(BrassicanapusL.)withhighC/Nratio(C/N82)andlignincontentand

rapidlydecomposableyoungkikuyushoots(PennisetumclandestinumL.)withlowC/N

ratio(C/N19)andligninconcentration(Table2).Theresiduesweredried,groundand

sieved to particle size 0.25-2 mm. These residues were selected because in the

previousstudywitha single residueaddition to thesamesalinesoils (Hasbullahand

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Marschner2014), thenegativeeffectofsalinityonsoil respirationwassmallerwhen

amendedwithkikuyucomparedtocanolaresidues.

Analyses

Salinitywasmeasured in a 1:5 soil: reverse osmosis (RO)water (w/w) extract (EC1:5)

afteronehourhorizontalshakingat25°C.TheECofthesaturatedpasteextract(ECe)

valueswerecalculatedfromtheEC1:5usingtheformulaofShawetal.(1987):

E C e = E C 1 : 5 ( − 2 . 2 1 ×%C l a y0 . 5

+ 2 3 . 7 8 )

Soil particle size was assessed by the hydrometer method (Ashworth et al.,

2001)andparticlesizedistributionwasusedfortextureclassificationbasedonSaxton

et al. (1986). Soil maximum water holding capacity (WHC) was measured using a

sinteredglassfunnelconnectedtoa1mwatercolumn(Ψm=-10kPa)(Haines,1930).

The soils were placed in cores in the funnel, thoroughly wetted until saturated and

allowed to drain for 48 hours. The drained soilwasweighed before and after oven-

dryingat105°Cfor24hourstodeterminethewatercontent.Acid-solubleAl,FeandK

were analysed using ICP-AES (Inductively Coupled Plasma Atomic Emission

Spectrometry) after extracting the soils with aqua-regia (0.1% nitric acid to

concentrated hydrochloric acid at a 1:3 ratio) as described in Zarcinas et al. (1996).

AvailablePwasextractedusingtheColwellmethodandmeasuredcolorimetricallyat

882 nm (Rayment and Higginson, 1992). Soil inorganic N was extracted in 1M KCl;

ammonium and nitrate concentrations were determined using standard colorimetric

methods(KeeneyandNelson,1982).SolubleNa+,Ca

2+andMg

2+concentrationswere

extractedbyonehourhorizontalshakingofasuspensionwith1:5soil:waterratioand

filtering throughWhatman filterNo.42.Elementconcentrations in theextractswere

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measuredbyICP-AES.SolubleNa+,Ca2+andMg2+concentrationsinmmolL-1wereused

tocalculatethesodiumadsorptionratio(SAR1:5)usingthefollowingequation:

!"# = [!"!]( !"!! + !"!! )

TheWalkey and Black’smethod (1934)was used tomeasure total organic C

concentrationinsoilsandresiduesaccordingtothefollowingformulawhichassumes

that1mlK2Cr2O7oxidizes3mgC:

WhereB: ml ferrous ammonium sulfate (FAS) for blank, T: ml FAS for sample, W:

weightofthesoilingandV:volumeofK2Cr2O7inml.

Total N in soils and residues was determined by the Kjeldahl method

(Bradstreet, 1965). Water extractable organic carbon (WEOC) of residues was

measuredbyshaking0.5ggroundresiduesin30mlROwaterfor1hourafterwhich

theextractwasfilteredthroughaWhatmanno.42filter.TheorganicCconcentration

in the extract was determined as described in Anderson and Ingram (1993) by

digestingwith0.0667MK2Cr2O7andconcentratedH2SO4and titrating the remaining

dichromatewith0.033Macidified(NH4)2Fe(SO4)26H2O.

SoilrespirationwasdeterminedbymeasuringtheCO2concentrationdailyinthe

headspace of the jars using a Servomex 1450 infra-red gas analyser as described in

Setiaetal.(2011a).Aftereachmeasurement(tm),thejarswereventedtorefreshthe

headspace,andthenresealedfollowedbydeterminationoftheCO2concentration(t0).

The CO2 evolved during a given interval was calculated as the difference in CO2

% organic C = 3 (B-T)

BW

V

10x

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concentration between tm and t0. Linear regression based on injection of known

amounts of CO2 into empty jars was used to define the relationship between CO2

concentrationanddetectorreading.Cumulativerespirationwascalculatedasthesum

ofrespirationrates[inmgCO2-C(gsoilandday)-1]over14daysfollowingmixingwith

orwithoutresidueaddition.

MicrobialbiomassC(MBC)onday56wasdeterminedbyfumigationextraction

(Vanceetal.,1987)asmodifiedbyAndersonandIngram(1993).Fumigatedandnon-

fumigatedsoilwasextractedwith0.5MK2SO4at1:4ratio.OrganicCintheextracts

wasdeterminedasdescribedaboveforWEOC.MicrobialbiomassCwascalculatedby

subtracting the OC concentration in the fumigated sample from that of the un-

fumigatedsampleandmultiplyingthedifferenceby2.64(Vanceetal.1987).

Nuclearmagnetic resonance (NMR) spectroscopywas used to determine the

compositionofCcompounds intheresidues.ThespectrawereobtainedonaVarian

Unity200NMRspectrometerata13Cresonancefrequencyof50.3MHz.Theresidue

sampleswerepackedinacylindricalzirconiarotorandspunat5000±100HzinaDoty

Scientificmagic angle-spinning (MAS) probe. The spectrawere integrated into eight

chemicalshiftregionsforthefollowingC-types:Alkyl(0-45ppm),N-Alkyl/Methoxyl

(45-60ppm),O-Alkyl(60-95ppm),Di-O-Alkyl(95-110ppm),Aryl(110-145ppm),

O-Aryl(145-165ppm),Amide/Carboxyl(165-190ppm)andKetone(190-215ppm).

ForfurtherdetailsabouttheNMRanalysisseeBaumannetal. (2009).Themolecular

mixing model of Baldock et al. (2004) was used to calculate the percentage of

biomolecules(carbohydrate,protein,ligninlipidandcarbonyl)from13CNMRresults.

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Experimentaldesign

Thesoilswerepre-incubatedat55%ofmaximumwaterholding(WHC)capacityfor14

days at 19-23 ˚C, to stabilise respiration after the initial respiration flush upon

rewettingoftheair-drysoil.Thiswatercontentwaschosenbecause it isoptimal for

respirationinsoilsofthistexture(Setiaetal.,2011b).Reverseosmosiswaterwasused

to adjust thewater content. After the pre-incubation, the two residueswere added

between one and four times with a total organic C addition rate of 10 g C kg-1

(approximately 20 g residue kg-1). At the defined times (see Table 3), residueswere

mixedintoeachcore;whennoresidueswereadded,thesoilsweremixedinasimilar

manner. This experimental design allowed comparison of frequency of residue

addition.Forexample,10gChadbeenaddedintreatmentsK10-0-0-0ondayzero;in

treatmentK5-5-0-0residueswereatarateof5gCkg-1ondays0and14thereforea

totalof10gChadbeenappliedonday14.InK5-2.5-2.5-0andK2.5-2.5-2.5-2.5atotal

of10gChadbeenappliedondays28and42.

Onday0,soil (equivalentto25gmoistsoil)wasmixedwithresiduesandthen

filledintoPVCcoreswith1.85cmradius,5cmheightandanylonmeshbase(0.75µm,

AustralianFilterSpecialist)andpackedtoabulkdensityof1.4gcm-1.Thecoreswere

placedindividuallyinto1LMasonglassjarswithgastightlidsequippedwithseptato

allow quantification of headspace CO2 concentration. The jars were kept at room

temperature (19-23˚C) in thedark.Soilmoisturewasmaintainedat55%ofWHCby

checking the water content every few days by weight and adding RO water if

necessary.Respirationwasmeasuredcontinuouslyover56daysandmicrobialbiomass

carbon(MBC)wasdeterminedattheendoftheexperiment.

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Statisticalanalysis

There were four replicates per treatment. Cumulative respiration and MBC

concentrationonday56werenormallydistributedandanalysedbytwo-wayANOVA

withsalinityandresiduetreatmentasfixedfactorsusingGenstat15thedition(VSNInt.

Ltd, UK). Tukey’s multiple comparison test at 95% confidence interval was used to

determine significant differences among treatments. Regression was used to

characterise the relationship between salinity and cumulative respiration in

percentageofthenon-salinesoilforthe14daysafteratotalof10gCkg-1hadbeen

addedinExcel2010(Microsoft,Redmond,WA,UnitedStates).This14-dayperiodwas

day0-14inK10-0-0-0ondayone,day14-28inK5-5-0-0,day28-42inK5-2.5-2.5-0and

day42-56inK2.5-2.5-2.5-2.5.Theregressionequationswereusedtocalculatepercent

decreaseof cumulative respirationatEC1:52dSm-1 compared to thenon-salinesoil.

Thissalinitylevelwaschosenbecauseincanolaamendedsoils,thegreatestdecrease

in percentage respiration occurred at salinity levels below EC1:5 2 dSm-1. At higher

salinity,thedecreaseinrespirationwithincreasingsalinitywassmaller.Thereforethe

decreaseinpercentagerespirationatEC1:52dSm-1isasuitablemeasureforsensitivity

tosalinity.

Results

Cumulativerespiration

Cumulativerespirationonday56washigherwithkikuyuthanwithcanolaatallsalinity

levels (Figure1).Amongmultipleadditions,cumulativerespirationwashighestwhen

residues were added three times (treatment 5-2.5-2.5-0). In canola-amended soils,

irrespectiveof residueaddition frequency, cumulative respirationwashighest in the

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non-saline soil and decreased with increasing salinity until soil EC 2.7, but did not

decrease further in soil EC 3.7. With kikuyu, cumulative respiration on day 56 was

lowerthaninthenon-salinesoilonlyatinsoilEC3.7whenresidueswereaddedonce

(K10-0-0-0)ortwice(K5-5-0-0),butwasnotinfluencedbysalinitywhenresidueswere

addedthreeorfourtimes(K5-2.5-2.5-0andK2.5-2.5-2.5-2.5).Twoweeksafterthesoil

wasamendedwith10gCkg-1(day1428,42,56intreatmentsK10-0-0-0,K5-5-0-0,K5-

2.5-2.5-0 andK2.5-2.5-2.5-2.5, respectively) cumulative respirationwas lowerwith a

singleadditioncomparedtomultipleadditionsofkikuyu.

Incanolaamendedsoils, therewasa strongnegative logarithmic relationship

between salinityandcumulative respiration inpercentageof thenon-saline soil two

weeks after 10 g C kg-1. This relationshipwas linear andweaker in soilswith kikuyu

(Figure 2). With canola, the strongest reduction of cumulative respiration with

increasingsalinitywasfromnon-salinesoiltosoilEC1.3.Thedecrease incumulative

respiration with increasing salinity was not affected by canola residue addition

frequency. With kikuyu, cumulative respiration in percentage of the non-saline soil

decreasedmorestronglywith increasingsalinity inthetreatmentwherekikuyubeen

addedonlyonce(10-0-0-0)thanwhenitwasaddedtwice(5-5-0-0)andleastwhenit

wasaddedthreetimes(5-2.5-2.5-0)(Figure2).

UsingtheequationsinTable4,itwascalculatedthatcumulativerespirationat

EC1:52dSm-1wouldbe reducedby46-59%compared tonon-salinesoil inall canola

treatments(Table4).Withkikuyu,thedecreaseincumulativerespirationcomparedto

thenon-salinesoilwas17%inK10-0-0-0,6-7%inK5-0-2.5-2.5andK5-5-0-0,butonly

3%inK2.5-2.5-2.5-2.5.

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Microbialbiomasscarbon

TheMBC concentration in the non-saline soil on day 56 tended to be lowerwith a

single residue addition (10-0-0-0) or residues added twice (5-5-0-0) thanwithmore

frequentresidueadditions(5-2.5-2.5-0or2.5-2.5-2.5-2.5) (Table5). Inthenon-saline

soil, theMBC concentrationwas higherwith kikuyu thanwith canola in treatments

with a single and three times addition. But in the saline soils in a given residue

amendment treatment, theMBC concentration was similar with canola and kikuyu.

Withkikuyu,theMBCconcentrationwaslowerinsoilEC3.7thaninnon-salinesoil.

Discussion

This study showed that compared to a single addition, multiple addition of rapidly

decomposable residue (kikuyu) reduced the negative effect of salinity on soil

respiration,butthiswasnotthecasefortheslowlydecomposablecanola (Figure1).

Thereforeourhypothesis(thereductioninsoilrespirationwithincreasingsalinitywill

besmallerwithmultipleadditionsofresiduescomparedtoasingleaddition)canonly

beconfirmedfortherapidlydecomposableresidue.

The results of this experiment are in agreement with our earlier study

Hasbullah and Marschner 2014) as amendment with rapidly decomposable kikuyu

reduced the negative effect of salinity on respiration compared to the difficult

decomposablecanola(Figure1,).Thegreaterdecomposabilityofkikuyucomparedto

canola can be explained firstly, by the higher concentration of water-extractable

organicCwhichcanbeeasilytakenupbymicrobes.DecompositionofmorecomplexC

compoundsrequiresgreaterenergyforsynthesisandreleaseofenzymes(Liangetal.,

1996; Uchida et al., 2012). Secondly, the higher N concentration in kikuyu could

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improvesynthesisofosmolytesmanyofwhichareN-rich(Warren,2013),forexample

prolineandglycinebetaine(Singhetal.,1996;Robertetal.,2000;SaumandMüller,

2007).

Withbothresiduesandatallsalinitylevels,cumulativerespirationtwoweeks

after additionof 10 gC kg-1washigherwithmultiple compared to a single addition

(Figure1).ThisislikelyduetothemorecontinuoussupplyofreadilydecomposableC

withtheformer.Theeffectofmultipleresidueadditionsonrespirationwasgreaterin

thenon-saline soil andsaline soilsup to soil EC2.7 than in themost saline soil. This

suggests that at EC1:5 3.7 dSm-1 salinity stress limited the ability ofmicrobes to fully

takeadvantageofthemorecontinuousCsupply.

With the slowly decomposable canola, multiple residue additions did not

changetheresponseoftotalcumulativerespirationtosalinity.Thislowconcentration

of easily available (water-extractable organic C) in canola (Table 2) whichwould be

depletedwithin a fewdays. Kikuyuhad a four timeshigher concentrationofwater

extractableorganicC (Table2)whichwouldprovidea longer lasting sourceofeasily

available C. With kikuyu, cumulative respiration at the end of the experiment

decreased less with increasing salinity withmultiple additions compared to a single

addition,andamongmultipleadditiontreatmentsthedecreasewassmallerwiththree

and four additions compared to two (Figure 1). The beneficial effect of multiple

additions of kikuyuwas also evidentwhen cumulative respiration in the twoweeks

after addition of 10 g C kg-1 was compared (Figure 2). The reduction of cumulative

respiration inpercentageofnon-salinesoilwassmallerwithmultiplecompared toa

singleaddition.

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TheMBC concentration at the end of the experimentwas less influenced by

salinityandresiduetreatmentsthancumulativerespiration(Table4,Figure1).Thiscan

be explained by the nature of themeasurements.Microbial biomass determination

was at a single time point (end of the experiment), whereas cumulative respiration

integratesrespirationover longerperiodsoftimeandincludesthehigherrespiration

immediately after residue addition. In general, theMBC concentration tended tobe

lowerwithasingleortwoadditionscomparedtothreeorfouradditions(Table4).This

is likely due to the shorter periodof timebetweenMBCdetermination and the last

residueaddition:2-4weekswiththreeorfouradditionscomparedto6-8weekswitha

single or two additions. The greater amount of remaining residue after the shorter

timewouldbeabletosupportagreatermicrobialbiomass.

Conclusion

Thisstudyshowedthatrepeatedadditionofresiduescanreducethenegativeimpact

ofsalinityonsoilrespiration,butonlywhenrapidlydecomposableresiduesareused.

In the field, a single residue addition may be more cost effective than repeated

additions. Our results indicate that in moderately saline soils, a single addition of

rapidlydecomposingresiduescanminimisethenegativeeffectofsalinityonmicrobial

activity.However,inmoresalinesoils(inthisstudyEC1:53.7dSm-1),multipleadditions

of rapidly decomposing residuesmay be required to reduce the negative impact of

salinityonmicrobialactivity.

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Acknowledgement

TheauthorsthanktheUniversityofAdelaideforprovidingscholarship(Adelaide

ScholarshipInternational)forH.Hasbullah’sPhDstudy.

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Table1.Physicalandchemicalpropertiesofanon-salineandthreesalinesoils.

Parameter1

EC1:5(dSm-1)20.14 1.3 2.7 3.7

ECe(dSm-1) 2.5±0.02 13.9±0.45 34.7±1.67 44.5±1.08

Sand(%) 50 45 47.5 47.5Silt(%) 35 35 32.5 32.5Clay(%) 15 20 20 20Texture Loam Loam Loam LoamWaterholdingcapacity(%) 32 37 39 44pH 7.8±0.10 9.0±0.06 8.7±0.06 9.0±0.04Totalorganiccarbon(%) 1.2±0.04 1.1±0.02 0.9±0.03 0.7±0.03ColwellP(mgkg-1) 70±1.13 24±0.66 25±0.76 17±0.19TotalN(gkg-1) 1.5±0.2 1.0±0.1 1.0±0.1 0.9±0.1AcidsolubleelementsP(mgkg-1) 848±74 423±8 318±19 279±7K(gkg-1) 5.7±0.6 6.1±0.2 6.5±0.3 7.0±0.1Al(gkg-1) 32.4±1.5 39.6±0.1 40.0±1.2 38.3±0.7Fe(gkg-1) 25.9±1.7 31.7±0.2 33.0±0.6 30.7±1.5Availablenitrogen NH4-N(mgkg-1) 40.1±1.0 43.7±0.8 41.4±0.9 46.7±0.3NO3-N(mgkg-1) 8.5±0.1 8.7±0.1 2.7±0.1 1.3±0.1Solublecations(1:5soil:waterextract) Ca(mmolL-1) 0.51±0.01 0.49±0.02 0.96±0.03 0.44±0.04Na(mmolL-1) 0.22±0.01 9.79±0.31 21.31±0.62 30.01±0.001Mg(mmolL-1) 0.22±0.001 0.29±0.018 0.93±0.03 1.01±0.007SAR1:5 0.3 11.1 15.5 24.9ESP1:5

3 2.4 23.4 32.0 50.41formostvariablesn=3±standarddeviationexcepttexture,waterholdingcapacity,SARand

ESP.2ECof1:5soil:waterextract.3ESPvaluescalculatedfromSARvalues(Rengasamyetal.,1984).

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Table2.Propertiesofcanolaandkikuyushoots(n=3±standarddeviation)

Plantresidues CanolashootsKikuyushoots

C(gkg-1)1 388±49.4 360±3.46

N(gkg-1) 4.7±0.50 19.2±0.71

C/Nratio 82 19

WaterextractableC(gkg-1) 10.2±2.5 37.9±0.5

Carbohydrate(%)1 66.2 63.1

Carbonyl(%)1 2.8 2.1

Lipid(%)1 0.7 5.6

Protein(%)1 4.4 15.8

Lignin(%)1 25.1 9.9

1 Concentrations calculated from 13C NMR results using a molecularmixingmodel(Baldocketal.,2004)

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Table3.OrganicCadditiontreatments

Residues TreatmentDay

0 14 28 42Cadditionrate(gCkg-1)

Canola

C10-0-0-0 10 0 0 0

C5-5-0-0 5 5 0 0

C5-2.5-2.5-0 5 2.5 2.5 0

C2.5-2.5-2.5-2.5 2.5 2.5 2.5 2.5

Kikuyu

K10-0-0-0 10 0 0 0

K5-5-0-0 5 5 0 0

K5-2.5-2.5-0 5 2.5 2.5 0

K2.5-2.5-2.5-2.5 2.5 2.5 2.5 2.5

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Table4.Regressionequationsfortherelationshipbetweensalinityandcumulativerespirationover14daysafteratotalof10gCkg-1soilhadbeenaddedinsalinesoilsinpercentageofthenon-saline soil for soilswith singleandmultipleamendmentsof canolaandkikuyu residues.Andcalculatedpercentagedecreaseincumulativerespiration(y)atEC1:52dSm-1.

Residueaddition

treatment1

Twoweek-periodafter

atotaladditionof10gCkg-1

soil

Equations R2

Percentagedecrease

incumulativerespirationatEC1:52dSm-1comparedtonon-salinesoil

Canola C10-0-0-0 0-14 y=-22.7ln(EC1:52)+57.27 0.98 59

C5-5-0-0 15-28 y=-18.26ln(EC1:52)+66.765 0.91 46

C5-2.5-2.5-0 43-56 y=-21.69ln(EEC1:52)+57.216 0.94 58

C2.5-2.5-2.5-2.5 29-42 y=-22.43ln(EC1:52)+56.316 0.96 59

Kikuyu K10-0-0-0 0-14 y=-9.8246EC1:52+103.09 0.78 17

K5-5-0-0 15-28 y=-5.0428EC1:52+103.03 0.60 7

K5-2.5-2.5-0 43-56 y=-0.2605EC1:52+94.489 0.0006 6

K2.5-2.5-2.5-2.5 29-42 y=-1.1868EC1:52+99.167 0.49 31FortreatmentdetailsseeTable3

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Table5.MicrobialbiomassConday56innon-salinesoil(EC1:50.1dSm-1)andsalinesoils(EC1:51.3,2.7and3.7dSm-1)withsingleandmultipleamendmentsofcanolaandkikuyuresiduesat10gCkg-1soil.Valuesfollowedbydifferentlettersaresignificantlydifferent(p≤0.05)(n=4±standarderror)

EC Treatment1 MicrobialbiomassC(gkg-1)

Non-saline C10-0-0-0 14.6±3.67a

C5-5-0-0 37.6±13.7abcd

C.5-2.5-2.5-0 71.0±5.4abcdef

C2.5-2.5-2.5-2.5 75.4±2.8abcdef K10-0-0-0 101.7±4.0defgh

K5-5-0-0 93.9±19.9cdef

K.5-2.5-2.5-0 175.0±30.2g K2.5-2.5-2.5-2.5 134.9±13.5fg

EC1.3 C10-0-0-0 51.1±16.2abcd

C5-5-0-0 16.5±5.1a

C.5-2.5-2.5-0 27.1±11.5abc

C2.5-2.5-2.5-2.5 78.8±10.4abcdef

K10-0-0-0 64.1±7.7abcdef

K5-5-0-0 90.7±13.1bcdef

K.5-2.5-2.5-0 73.9±18.0abcdef K2.5-2.5-2.5-2.5 130.0±14.5efg

EC2.7 C10-0-0-0 18.3±3.5ab

C5-5-0-0 39.3±10.5abcd C.5-2.5-2.5-0 60.9±2.3abcdef

C2.5-2.5-2.5-2.5 47.1±23.0abcd

K10-0-0-0 68.5±6.3abcdef

K5-5-0-0 59.8±2.0abcde K.5-2.5-2.5-0 67.3±3.9abcdef

K2.5-2.5-2.5-2.5 106.6±24.9defgEC3.7 C10-0-0-0 36.1±15.9abcd

C5-5-0-0 69.4±15.7abcdef C.5-2.5-2.5-0 16.8±7.0ab

C2.5-2.5-2.5-2.5 49.6±8.0abcd

K10-0-0-0 43.9±7.4abcd

K5-5-0-0 36.5±0.3abcd

K5-2.5-2.5-0 42.7±0.2abcd K2.5-2.5-2.5-2.5 22.7±11.8abc

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Figure1.Cumulativerespirationover14dayintervals:fromday0to14,day15-28,day29-42

andday43-56innon-salinesoil(EC1:50.1dSm-1)andsalinesoils(EC1.3,2.7and3.7dSm-1)

withsingleandmultipleamendmentsofcanolaandkikuyuresiduestoachieveatotaladdition

of 10 g C kg-1 soil (n=4, vertical lines indicate standard deviation). Different letters indicate

significantdifferences(P≤0.05).FortreatmentdetailsseeTable3.

e

ddd

ijk

l

gh

jkl

ccbcc

jkljkl

hi

kl

ababaab

jkljkl

gh

jkl

aa aa

ffg fg

ij

0

1

2

3

4

5

6

7

8

9

C10-0-0-0

C.5-2.5-2.5-0

K5-5-0-0

K2.5-2.5-2.5-2.5

C10-0-0-0

C.5-2.5-2.5-0

K5-5-0-0

K2.5-2.5-2.5-2.5

C10-0-0-0

C.5-2.5-2.5-0

K5-5-0-0

K2.5-2.5-2.5-2.5

C10-0-0-0

C.5-2.5-2.5-0

K5-5-0-0

K2.5-2.5-2.5-2.5

Non-saline EC1.3 EC2.7 EC3.7

CumulaO

vere

spira

Oon(m

gCO

2-C-

g soil)

Day43-56

Day29-42

Day15-28

Day0-14

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70

Figure2.Relationshipbetweencumulativerespirationover14daysafteradditionof10gCkg-1soilandsalinity(EC1:50.1,1.3,2.7and3.7dSm-1) inpercentageofnon-salinesoilwithsingleandmultipleamendmentsofcanolaandkikuyuresidues(n=4).Valuesinbracketsindicatetwoweekperiodafteradditionof10gCkg-1soil.

y=-22.7ln(x)+57.027R²=0.9788

0

20

40

60

80

100

120

0 1 2 3 4

C10-0-0-0 (Day0-14)

y=-9.8246x+103.09R²=0.7797

0 1 2 3 4

K10-0-0-0(Day0-14)

y=-18.26ln(x)+66.765R²=0.9119

0

20

40

60

80

100

120

0 1 2 3 4

C5-5-0-0 (Day15-28)

y=-5.0428x+103.03R²=0.5966

0 1 2 3 4

K5-5-0-0(Day15-28)

y=-21.69ln(x)+57.216R²=0.939

0

20

40

60

80

100

120

0 1 2 3 4

C5-2.5-2.5-0(Day43-56)

y=-0.2605x+94.489R²=0.0006

0 1 2 3 4

K5-2.5-2.5-0(Day43-56)

y=-22.43ln(x)+56.316R²=0.9645

0

20

40

60

80

100

120

0 1 2 3 4

C2.5-2.5-2.5-2.5(Day29-42)y=-1.1868x+99.167

R²=0.4921

0 1 2 3 4

K2.5-2.5-2.5-2.5(Day29-42)

Cumulativerespira

tion(percentageofnon

-salinesoil)

Salinity(EC1:5)

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CHAPTER4:

Manuscript3

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72

Chapter4

Amendingsalinesoilswithresiduemixtures-effectofproportionofslowlyandrapidlydecomposableresidueonresponseofcumulativerespirationtosalinity

HasbullahandPetraMarschner

SchoolofAgriculture,FoodandWine,TheUniversityofAdelaide,Adelaide,Australia.

SubmittedtoJournalofSoilScienceandPlantNutrition

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73

Amendingsalinesoilswithresiduemixtures-effectofproportionofslowlyandrapidlydecomposableresidueonresponseofcumulativerespirationtosalinity

HasbullahHasbullah*,PetraMarschnerSchoolofAgriculture,FoodandWine,TheUniversityofAdelaide,AdelaideSA5005,Australia*Correspondingauthor,E-mailaddress:hasbullah@adelaide.edu.auAbstractAdditionofrapidlydecomposableresiduesreducesthenegative impactof increasing

salinityonsoilrespirationtoagreaterextentthanslowlydecomposableresidues.The

aimof this studywas to investigate the responseof soil respiration to salinitywhen

amendedwithmixturesofrapidlyandslowlydecomposableresidues.Twoincubation

experimentswerecarriedoutwithloamsoilshavingEC1:50.1,1.0,2.5and3.3dSm-1

.

Inthefirstexperiment,thesoilswereamendedwith20gkg-1

soilassawdust(C/N114,

slowly decomposable) or kikuyu (Pennisetum clandestinum L., C/N 19, rapidly

decomposable)alone(S100/K0orS0/K100,respectively)ormixedatdifferentratios.

In all mixtures (percentage of kikuyu 25, 50 and 75%), the decrease in cumulative

respirationat1dSm-1

wassmallerthanwithsawdustalone.Inthesecondexperiment

threesoils(EC1:50.1,1.0and2.5dSm-1

)wereamendedonceorthreetimes(ondays0,

14and28)toatotaladditionrateof10gCkg-1

soileitherwithsawdustalone,kikuyu

alone or mixtures (final proportion of kikuyu 25%). In treatments with only one

residue, the decrease in cumulative respiration with increasing salinity was greater

with sawdust than with kikuyu, but did not differ between a single and multiple

additions. In the treatments with mixtures of sawdust and kikuyu, the decrease in

cumulativerespirationfromnon-salinetoEC1dSm-1

wassmallinthetreatmentwith

threeresidueadditionswherethefirstadditionconsistedofequalpartsofkikuyuand

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74

sawdust[25%sawdustand25%kikuyuaddedonday0,25%sawdustondays14and

28]. We conclude that even a relatively small proportion of rapidly decomposable

residue in a mixture is sufficient to alleviate the negative impact of salinity on soil

respiration.Whendifferentresiduesareaddedrepeatedly,theameliorativeeffectof

rapidly decomposable residue will be greater if only small amounts of slowly

decomposableresidueispresentinsoil,thatis,whenitisaddedearly.

Keywords:residuemixes,respiration,salinity

1. IntroductionSalinity is oneof themajor factors limiting agricultural production inmany arid and

semi-arid areas, including 357 Mio ha land in Australia. This area is predicted to

increasebyanother15Mioha in thenext50yearsdue tohumanactivities suchas

poor irrigationanddrainagesystems, theexpansionof irrigation intoarid zonesand

clearingofnativevegetation[1,2].

Excessiveamountsofsaltshavedetrimentalimpactnotonlyonplantgrowth,but

also on biological properties of soils [3, 4]. Salinity has been shown to reduce

microbial biomass, activity [5, 6] and change community structure [7]. The adverse

effectofsalinityonsoilmicrobescanbeexplainedbythelowosmoticpotentialwhich

makesitdifficulttotakeuporretainwater[8],andnutrientimbalancebecauseofion

competition [9]. Sensitivemicrobes die, but somemicrobes accumulate organic or

inorganic osmolytes thereby preventing water loss from the cells [10]. Synthesis of

organicosmolytesrequiresasignificantamountofenergy[11,12].

Organic matter decomposition is the main energy source for soil microbes, but

organic matter content in saline soils is often low due to poor plant growth [13].

Additionoforganicmatterhasbeenshowntoincreasemicrobialactivityinsalinesoils

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75

[14, 15] and could reduce the negative impact of salinity onmicrobes by providing

energyforosmolytesynthesis.Inmoststudiesasingletypeoforganicamendmentis

used.SetiaandMarschner[16]appliedmaturewheatandpearesiduesintosalinized

soilsandfoundthatthereduction incumulativerespirationwithsalinitywasgreater

withpeathanwithwheatresidues.Werecentlyshowedthatthenegative impactof

salinityonrespirationwasgreaterinsoilamendedwithslowlydecomposableresidues

comparedtorapidlydecomposableresidues[17].

In the field, slowlydecomposable residues (e.g. sawdustormature cereal straw)

areoftenavailableingreaterquantitiesandatlowercostthanrapidlydecomposable

residues(e.g.younggrassorlegumeshoots).Ameliorationofsalinesoilswithresidue

mixtures of slowly and rapidly decomposable residues may therefore be a cost-

effectiveoption.However,itisnotclearhowmucheasilydecomposableresiduehasto

be inthemixtoachieveasimilarameliorativeeffectaseasilydecomposableresidue

alone.

AconsistentsupplyoforganicCcouldbemoreeffectiveinalleviatingthenegative

effect of salinity on microbial activity than a single addition where decomposable

compounds are depleted soon after organic amendment. It is not clear if in soil

amended with residue mixtures, proportion or timing of amendment with rapidly

decomposableresidueinfluencetheimpactofsalinityonsoilrespirationormicrobial

biomass.

Twoexperimentswere conductedwith sawdust as slowly decomposable residue

and young kikuyu shoots as rapidly decomposable residue. The aim of the first

experiment was to investigate the influence of salinity on respiration in soil with a

single addition of slowly or rapidly decomposable residues alone or asmixture. The

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aimof the secondexperimentwithmultiple residueadditionswas todetermine the

influenceoftheproportionofslowlydecomposableresidueinthesoilatthetimeof

additionofrapidlydecomposableresidueonresponseofsoilrespirationtoincreasing

salinity.Wehypothesisedthat(i)withasingleaddition,thenegativeeffectofsalinity

on soil respirationwill decreasewith increasing proportionof rapidly decomposable

residueinthemixture,and(ii)withmultipleresidueadditions,thenegativeimpactof

salinity on cumulative respiration will increase with proportion of slowly

decomposable residue in the soil at the time of addition of rapidly decomposable

residue. The second hypothesis is based on the assumption that the likelihood of

microbes being in the vicinity of freshly added rapidly decomposable residue will

decreaseastheproportionofslowlydecomposableresiduealreadypresentinthesoil

increases.

2. Materialsandmethods

2.1 SoilsFoursoilswerecollectedinMarch2012fromtheAhorizon(0-30cmdepth) inareas

with patches of salinity in Monarto, South Australia (35�05�S and 139�06�E)

classified asMonarto Loam [18] (Table1) These soils arewide-spread in the region.

This area has a Mediterranean climate with hot dry summer (long term average:

29.4°C)andcoolwetwinter(longtermaverage:14.7°C)(MeatandLivestockAustralia,

2015). The soils were air-dried, sieved to 2 mm and then stored. Salinity was

determinedaselectricalconductivityina1:5(soil:water,w/w)extract(EC1:5)andwas

0.1 (non-saline), 1.0, 2.5 and 3.3 dSm-1

. This range was chosen based on previous

studies[19,20]toinduceamoderatetostrongdecreaseinrespiration.Thesalinesoils

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were saline-sodic (SodiumAdsorptionRatio<6 forAustralian soils) and thereforedo

not display dispersive behaviour associated with sodicity because the high salt

concentrationinthesoilsolutioncausesflocculationofsoilparticles[21,22].

2.2 PlantresiduesTwo residues with distinct properties were used for both experiments: shoots of

kikuyu(Pennisetumclandestinum L.)with lowC/Nratioand ligninconcentrationand

sawdust (from pine wood (Pinus sp.)) with high C/N ratio and lignin concentration

(Table2). Both residuesweregroundand sieved toparticle size0.25-2mm.These

residueswerechosenbecause inourpreviousstudywhereweusedthesamesaline

soils [17], the decrease in respiration with increasing salinity was greater in soils

amendedsawdustthaninkikuyu-amendedsoils.

2.3 ExperimentaldesignThestudy includedof twoexperiments,wherethesecondexperimentwasbasedon

theresultsof thefirst.Beforethestartof theexperiments, thesoilswerewettedto

55% of maximum water holding capacity and incubated for 14 days to stabilise

respirationafter the initial flushof respirationupon rewettingofair-dry soil. Inour

previousstudiessoilrespirationinthesesoilswasmaximalatthiswatercontent.

The objective of Experiment 1 was to investigate the influence of salinity on

respirationinsoilamendedwithslowlyorrapidlydecomposableresiduesaloneoras

mixture.Afterpre-incubation,residueswereaddedintoanon-salinesoil(EC1:50.1dS

m-1

) and three saline soils (EC 1, 2.5 and3.3 dSm-1

) at a rate of 20 g kg-1

either as

individualresidues:sawdustalone(S100/K0)orkikuyualone(S0/K100)orasmixtures.

For themixture treatments, the residueswere thoroughlymixed before addition to

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thesoils.Thefollowingmixtureswerepreparedwherethefirstnumberistheweight

percentageofsawdustandthesecondisthepercentageofkikuyu:S75/K25,S50/K50

andS25/K75.Soilwithresidues(equivalentto20gmoistsoil)wasfilledintoPVCcores

with 1.85 cm radius, 5 cm height and a nylonmesh base (0.75µm, Australian Filter

Specialist) and packed to a bulk density of 1.4 g cm-3

. The cores were placed

individually into 1 L glass jars with gas tight lids equipped with septa to allow

quantificationoftheheadspaceCO2concentration(seebelow).Thejarswerekeptat

room temperature (19-23 ˚C) in the dark. Soil moisture was maintained at 55% of

maximumwaterholdingcapacity(WHC)bycheckingthewatercontenteveryfewdays

byweightandaddingROwaterifnecessary.Respirationwasmeasuredover16days.

The aim of Experiment 2 was to determine the effect of residue addition

frequency and order inwhich residues are added on response of soil respiration to

salinity.Thetworesiduewereaddedintoanon-salinesoil(EC1:50.1dSm-1

)andtwo

saline soils (EC1and2.5dSm-1

) toachievea totaladditionof10gCkg-1

. This rate

correspondstoapproximately20gresiduekg-1

whichistherateusedinExperiment1.

In Experiment 1, 25% kikuyu in themixture was sufficient to alleviate the negative

effectofsalinityonsoilrespiration.Therefore,themixedtreatmentsinExperiment2

consistedof75%sawdust+25%kikuyu.Theresidueswereaddedonce,twiceorthree

times. For the single additions, residues were added on day zero. For the multiple

additions,theresidueswereaddedeverytwoweeks:ondays0,14and28(seeTable3

for details). When residue mixtures were applied, the residues were mixed before

additiontothesoil.Themixedtreatmentsweredesignedsothatthe25%kikuyuwas

addedeitheronday0,day14orday28. Intreatmentswhereresidueswereapplied

onlyonday0(10S,10K,7.5S+2.5KwherethevalueindicatestheCrate,SandKstand

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forsawdustandkikuyu),thesoilwasmixedondays14and28inasimilarmannerasin

those treatments with residue addition on these dates. After mixing with residues,

soilsweretreatedasdescribedforExperiment1.Soilrespirationwasmeasureddaily

untilday42andMBCwasmeasuredattheendofexperiment.

2.4 SoilandresidueanalysesSoilECandpHweremeasuredina1:5soiltoreverseosmosis(RO)watersuspension

afteronehourhorizontalshakingat25°C.TheformulafromShawetal.[23]wasused

tocalculateECinthesaturatedpasteextract(ECe)fromEC1:5:

E C e = E C1 : 5 ( − 2 . 2 1 ×%C l a y0 . 5

+ 2 3 . 7 8 ) .

Soil texture was determined by the hydrometer method [24], texture

classificationwasbasedonSaxtonetal.[25].Maximumwaterholdingcapacity(WHC)

of thesoilswasmeasuredbyusingasinteredglass funnelconnectedtoa1mwater

column (Ψm= -10kPa) [26]. The soilswereplaced in cores in a sinteredglass funnel,

thoroughlywetted and allowed to drain for twodays. Thedrained soilwasweighed

beforeandafterovendryingat105°Cfor24hourstodeterminethewatercontent.For

total P, Al, Fe and K, the soils were digested with hydrochloric acid as described in

Zarcinasetal.[27].AvailablePwasextractedusingtheColwellmethodandmeasured

colorimetricallyat882nm[28].SoilinorganicNwasextractedin1MKCl;ammonium

andnitrateconcentrationsweredeterminedusingstandardcolorimetricmethods[29].

SolubleNa+

,Ca2+

andMg2+

concentrationswereextractedby1hourhorizontalshaking

ofasuspensionwith1:5soil:waterratioandfilteringthroughWhatmanfilterNo.42.

ElementconcentrationsintheextractsweremeasuredbyICP-AES(InductivelyCoupled

PlasmaAtomicEmissionSpectrometry).Sodiumadsorptionratio(SAR)wascalculated

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80

from soluble Na+

, Ca2+

and Mg2+

concentrations in mmol L-1

using the following

equation:

!"# = [!"!]( !"!! + !"!! )

Total organic C concentration in soils and residues was measured by the

Walkey and Blackmethod [30]. Total N in soils and residues wasmeasured by the

Kjeldahl method [31]. Water extractable organic carbon (WEOC) of residues was

determinedbyshaking0.5ggroundresiduesin30mlROwaterfor1hourafterwhich

theextractwasfilteredthroughaWhatmanno.42filter.TheorganicCconcentration

in the extractwasmeasured as described inAnderson and Ingram [32] bydigesting

with0.0667MK2Cr2O7andconcentratedH2SO4andtitratingtheremainingdichromate

with0.033Macidified(NH4)2Fe(SO4)2·6H2O.

The compositionof organicC compounds in the residueswasdeterminedby

nuclear magnetic resonance (NMR) spectroscopy. The spectra were obtained on a

VarianUnity200NMRspectrometerata13

C resonance frequencyof50.3MHz.The

residuesampleswerepackedinacylindricalzirconiarotorandspunat5000±100Hz

in a Doty Scientificmagic angle-spinning (MAS) probe. The spectra were integrated

into eight chemical shift regions for the following C-types: Alkyl (0 - 45 ppm), N-

Alkyl/Methoxyl (45 -60ppm),O-Alkyl (60 -95ppm),Di-O-Alkyl (95 -110ppm),Aryl

(110-145ppm),O-Aryl(145-165ppm),Amide/Carboxyl(165-190ppm)andKetone

(190-215ppm).ForfurtherdetailsabouttheNMRanalysisseeBaumannetal.[33].

Thepercentageofbiomolecules(carbohydrate,protein,ligninlipidandcarbonyl)was

calculatedfrom13

CNMRresultsusingthemolecularmixingmodel[34].Klasonlignin

was determined as described in Hatfield and Fukushima [35]. Briefly, residueswere

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washedwith80%ethanolandthendigestedin12Msulfuricacidat35°C,followedby

incubationin2Msulfuricacidat121°C.

Soil microbial biomass carbon (MBC) concentration was determined by the

fumigation extraction method [36]. Soil samples were exposed to 48 h chloroform

fumigation followedbyshakingat1:5 ratiowith0.5MK2SO4.TheCconcentration in

theextractoffumigatedandnon-fumigatedsoilswasdeterminedbyadding0.0667M

K2Cr2O7 and concentrated H2SO4. The remaining K2Cr2O7 was titrated with 0.033 M

acidified (NH4)2Fe(SO4)2.6H2O (Anderson and Ingram 1993). The difference in C

concentration between fumigated and non-fumigated soilwasmultiplied by 2.64 to

calculateMBC[36].

Soil respiration was determined by measuring the CO2 concentration in the

headspace of each jar using a Servomex 1450 infra-red gas analyser as described in

Setia et al. [37]. After each measurement (t1), the jars were vented to refresh the

headspace using a fan, and then resealed followed by determination of the CO2

concentration (t0). The CO2 evolved during a given interval was calculated as the

differenceinCO2concentrationbetweent1andt0.Duetotheupperdetectionlimitof

thegasanalyser(2%CO2)andthedecreaseinrespirationrateovertimeafterresidue

addition,respirationwasmeasureddailyuntilday14andthenonday16(lastdayof

experiment).LinearregressionbasedoninjectionofknownamountsofCO2inthejars

wasusedtodefinetherelationshipbetweenCO2concentrationanddetectorreading.

Cumulativerespirationwascalculatedasthesumofrespirationrates[inmgCO2-C(g

soilandday)-1

].

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2.5 StatisticalanalysisThere were three replicates per treatment in Experiment 1 and four replicates in

Experiment2arrangedasrandomizedblockdesign.Dataofcumulativerespirationand

MBC concentrationwas normally distributed and analysed by two-way ANOVAwith

salinityandresiduetreatmentasfixedfactorsusingGenstat15th

edition(VSNInt.Ltd,

UK).Tukey’smultiplecomparisontestat95%confidentintervalwasusedtodetermine

significant differences among treatments. Regression was used to characterise the

relationshipbetweensalinityandcumulative respiration insalinesoilsaspercentage

ofthenon-salinesoilinMicrosoftExcel2010.TheEC1:5atwhichrespirationisreduced

by20%comparedtothenon-salinesoilwascalculatedwiththeregressionequations.

Thispercentagedecreasewaschosentoallowcomparisonbetweentreatmentswhich

hadlogarithmicorlinearresponsesbetweencumulativerespirationandsalinity.

3. Results

Comparedtosawdust,kikuyushootshadalowerC/Nratio,concentrationsoforganic

C and water-extractable organic C and lower proportions of carbonyl-C, lipid C and

lignin.TotalNandproteinconcentrationwerehigherinkikuyuthaninsawdust(Table

2).

3.1 Experiment1Inalltreatments,cumulativerespirationdecreasedwithincreasingEC(Figure1).Atall

salinitylevels,cumulativerespirationwaslowestwith100%sawdustandgreatestwith

100% kikuyu and increased with increasing proportion of kikuyu in themixes. The

decreaseincumulativerespirationfromthenon-salinesoiltothesoilwithEC1dSm-1

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wasstrongestwith100%sawdust.Thisdecreasewassmallerinallresiduetreatments

withkikuyu.

Therewasanegative relationshipbetween salinity and cumulative respiration in

percentageofthenon-salinesoilinalltreatments(r2

=0.8-0.9)(Figure2).Thesharpest

decrease in cumulative respiration occurred from non-saline to EC1:5 1 dS m-1

. The

reduction in cumulative respiration with increasing salinity was greater with 100%

sawdustthanintheothertreatments.Fromtheregressions(Table4),itwascalculated

thatcumulativerespirationwouldbereducedby20%comparedtonon-salinesoilat

EC1:50.3dSm-1

insoilwith100%sawdust,atEC1:50.5dSm-1

insoilwithS75/K25andat

EC1:50.6-0.8dSm-1

insoilsamendedwith100%kikuyuandmixeswith≥50%kikuyu.

3.2 Experiment2

Cumulativerespirationonday42washigher insoilsamendedonlywithkikuyu(10K,

5K-2.5K-2.5K)comparedtotheothertreatmentsatallsalinitylevels(Figure3).Itwas

lowest in soils with sawdust only. In treatments where only one residue type was

added (either kikuyu or sawdust), cumulative respiration was the same if residues

wereaddedonceorthreetimes. Intreatmentswith25%kikuyu[7.5S+2.5K,5S-2.5S-

2.5K, 5S-2.5K-2.5S and (2.5S+2.5K)-2.5S-2.5S)], cumulative respiration was lowest in

thetreatmentwherekikuyuwasaddedlast(5S-2.5S-2.5K).Cumulativerespirationwas

notsignificantlyinfluencedbysalinityinsoilsamendedwithkikuyuonly(10Kand5K-

2.5K-2.5K), but decreased from the non-saline soil to soil with EC 1 dS m-1

in

treatmentswith sawdust alone ormixtures of sawdust and 25% kikuyu. Cumulative

respirationdidnotdifferbetweenEC1and2.5dSm-1

.

Inthetwo-weekperiodafteratotalof10gCkg-1

hadbeenaddedtherewasa

strongnegativelogarithmicrelationshipbetweensalinityandcumulativerespirationin

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percentageofnon-salinesoilinsoilwithasingleadditionofsawdust(10S).(Figure4;

seeFiguresS1andS2forcumulativerespirationafteradditionof7.5and5gkg-1

).The

reduction of cumulative respiration with increasing salinity was smaller in soils

amendedwithasingleadditionof75%sawdustand25%kikuyu(7.5S+2.5K)orkikuyu

only(10K).Inallothertreatments,therewasalinearrelationshipbetweensalinityand

percentage cumulative respiration with the greatest slope in soil with repeated

addition of sawdust only (5S-2.5S-2.5S) and the smallest with repeated addition of

kikuyu only (5K-2.5K-2.5K). Among the treatments withmultiple additions and 25%

kikuyu,theslopewassmallestinthetreatmentwithkikuyuaddedonday14(5S-2.5K-

2.5S).

The MBC concentration on day 42 was lower in soils with sawdust only

comparedtothosewithkikuyuonlyormixesofsawdustandkikuyu(Figure5).Inthe

non-salinesoil,theMBCconcentrationwashigherwithkikuyuonlythaninsoilswith

mixtures of kikuyu and sawdust. Salinity influenced the MBC concentration only in

sometreatments.Comparedtothenon-salinesoil,theMBCconcentrationwaslower

insoilwith2.5dSm-1

onlyintreatmentswithasingleresidueaddition(10Sand10K).

4. Discussion

Thisstudyconfirmedourearlierstudy[17]thatthereduction insoil respirationwith

increasing salinity is smaller in soils amended with rapidly decomposable residues

compared to slowly decomposable residues. The novel finding of this study is that

even a small proportion of rapidly decomposable residues in amixture with slowly

decomposable residues is sufficient to reduce the negative effect of salinity on

cumulativerespirationcomparedtotheslowlydecomposableresiduealone.

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In Experiment 1, with a single addition, 25% kikuyu in a mixture was sufficient to

reduce thenegative effect of salinity on cumulative respiration (Figure 2).However,

therewaslittledifferenceinameliorativeeffectamongmixtureswith25-75%rapidly

decomposable residue and also compared to rapidly decomposable residue alone.

Thereforeourfirsthypothesisthatthenegativeeffectofsalinityonsoilrespirationwill

decreasewith increasingproportionof rapidly decomposable residue in themixture

has to be declined. The alleviation of the negative effect of salinity by rapidly

decomposableresiduescanbeexplainedbyseveralfactors.Firstly,agreateramount

ofenergy is available for the synthesisofosmolytes thanwith slowlydecomposable

residuesbecauselessenergyhastobeusedforthesynthesisofenzymesrequiredfor

the breakdown of more complex compounds such as lignin. Accumulation of

osmolytesincellscancounteractthestronglynegativeosmoticpotentialinsalinesoils

[10]. However, osmolyte synthesis requires large amounts of energy, 30-110 ATP

compared with only 30 ATP for synthesising cell walls [11]. Secondly, the kikuyu

residuesusedhere,andrapidlydecomposableresiduesingeneral[38],haveahighN

concentration(lowC/Nratio)whichfacilitatesosmolytesynthesismanyofwhichare

N-rich, for example, glycine betaine, proline and quaternary ammonium compounds

[39,40].Furtherpotentialfactorsarethat(i)rapidlydecomposableresiduesinducea

microbialcommunitystructurewithagreaterproportionofsalinity-adaptedmicrobes;

(ii) thegreateramountofenergyandNprovidedmayallowsynthesisandreleaseof

microbialslimeswhichprotectmicro-coloniesfromwaterstress[41].

InExperiment2, theeffectofsalinityoncumulativerespirationdidnotdiffer

greatlybetweensingleandmultipleadditionsofeithersawdustorkikuyuonly(Figure

3). In case of sawdust, multiple additions apparently could not provide energy for

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86

adaptation to salinity, probably because even freshly added sawdust is poorly

decomposabledue to its highC/N ratio andhigh lignin concentration [42, 43].With

kikuyu on the other hand, a single addition apparently provided sufficient rapidly

decomposablecompoundsforsalinitytolerancemechanisms.

In the treatments with mixtures of sawdust and kikuyu, the decrease in

cumulativerespiration fromnon-salinesoil toEC1dSm-1

wasgreatestwithasingle

addition (7.5S+2.5K) (Figure 4). The smaller decrease in cumulative respiration from

non-salinetoEC1dSm-1

intreatment(2.5S+2.5K)-2.5S-2.5Scanbeexplainedbythe

proportionofsawdustandkikuyuinthesoilwhenkikuyuwasadded.Inthetwoweeks

followingthefirstresidueaddition,75%ofaddedresidueswassawdustIntreatment

(7.5S+2.5K) whereas it was only 50% in (2.5S+2.5K)-2.5S-2.5S. Therefore a greater

proportion of microbes in the soil would have kikuyu in their vicinity and could

decomposeitintheformer.Thisearlyprovisionofrapidlydecomposableresiduetoa

greater proportion of soil microbes was sufficient to reduce the salinity effect

throughoutthe42daysalthoughlateronlysawdustwasaddedandthereforemostsoil

microbes were in the vicinity of slowly decomposable residues. This confirms the

secondhypothesis,thatwithmultipleresidueadditions,thenegativeimpactofsalinity

on cumulative respiration will increase with proportion of slowly decomposable

residueinthesoilatthetimeofadditionofrapidlydecomposableresidue.

Thegreaterdecomposabilityofkikuyucomparedtosawdustalsoleadtoagreater

MBCconcentrationinsoilamendedwithkikuyu(Figure5).However,thedifferencesin

MBC concentration between kikuyu and sawdust were smaller than in cumulative

respiration.TheMBCconcentrationwasabouttwo-foldhigherwithkikuyucompared

tosawdustwhereascumulativerespirationwasfivetosixtimeshigher(Figure4).The

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87

smallerdifferenceinMBCbetweentreatmentscanbeexplainedbythefactthatMBC

was determined only once at the end of the experiment whereas cumulative

respirationwasintegratedovertheentireexperiment.Bytheendoftheexperimenta

proportion of themicrobial biomassmayhave already died because of depletion of

readilyavailableorganicC[44].Thiscanalsoexplainthe lackof impactofsalinityon

MBCconcentration.

5. Conclusion

Thefirstexperimentshowedthatwithasingleaddition,25%ofrapidlydecomposable

residueinthemixwassufficienttoreducethenegativeeffectofsalinityonrespiration

comparedslowlydecomposableresiduealone.Thiscouldreducecostsofamelioration

ofsalinesoilsbecauseslowlydecomposableresiduesareoftencheaperandavailable

ingreateramountsthanrapidlydecomposableresidues.However,whenresiduesare

addedseveral times, theameliorativeeffectof rapidlydecomposable residuewillbe

greaterifonlyasmallamountofslowlydecomposableresidueispresent.Thus,rapidly

decomposableresiduewouldbemoreeffectiveifaddedearlythanifitisaddedafter

amendment with large amounts of slowly decomposable residue. Long-term field

studiesarerequiredto investigatehowoftenresiduesormixtureswouldhavetobe

appliedforasustainedameliorativeeffect.

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Acknowledgements

We thank the University of Adelaide for providing a postgraduate scholarship to H.

Hasbullah.

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water salinity–processes and management options. Part A, in: Landscape, soil and

water salinity ‘. Proceedings of the Brisbane regional salinity workshop. Brisbane,

1987.

[24]J.Ashworth,D.Keyes,R.Kirk,R.Lessard,Standardprocedureinthehydrometer

methodforparticlesizeanalysis,CommunicationsinSoilScienceandPlantAnalysis,32

(2001)633-642.

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watercharacteristics fromtexture,SoilScienceSocietyofAmericaJournal,50(1986)

1031-1036.

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[26]W.B.Haines,Studies inthephysicalpropertiesofsoil.V.Thehysteresiseffect in

capillaryproperties,andthemodesofmoisturedistributionassociatedtherewith,The

JournalofAgriculturalScience,20(1930)97-116.

[27]B.A.Zarcinas,M.J.McLaughlin,M.K.Smart,Theeffectofaciddigestiontechnique

on the performance of nebulization systems used in inductively coupled plasma

spectrometry, Communications in Soil Science and Plant Analysis, 27 (1996) 1331-

1354.

[28] G. Rayment, F.R. Higginson, Australian laboratory handbook of soil and water

chemicalmethods,InkataPressPtyLtd,Melbourne,1992.

[29]D.R.Keeney,D.W.Nelson,Nitrogen-InorganicForms,in:A.L.Page(Ed.)Methods

of soil analysis. Part 2. Chemical and microbiological properties, Agronomy

Monograph,Wisconsin,1982,pp.643-698.

[30]A.Walkley, I.A.Black,Anexaminationof theDegtjareffmethod fordetermining

soilorganicmatter,andaproposedmodificationofthechromicacidtitrationmethod,

SoilScience,37(1934)29-38.

[31]R.B.Bradstreet,TheKjeldahlmethodfororganicnitrogen,AcademicPress,New

York,1965.

[32] J.M. Anderson, J.S.I. Ingram, Tropical soil biology and fertility: a handbook of

methods,2nded.,C.A.B.International,Wallingford,1993.

[33] K. Baumann, P. Marschner, R.J. Smernik, J.A. Baldock, Residue chemistry and

microbial community structure during decomposition of eucalypt, wheat and vetch

residues,SoilBiologyandBiochemistry,41(2009)1966-1975.

[34]J.A.Baldock,C.Masiello,Y.Gelinas,J.Hedges,Cyclingandcompositionoforganic

matterinterrestrialandmarineecosystems,MarineChemistry,92(2004)39-64.

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[35]R.Hatfield,R.S.Fukushima,Canligninbeaccuratelymeasured?,CropScience,45

(2005)832-839.

[36] E. Vance, P. Brookes, D. Jenkinson, An extraction method for measuring soil

microbialbiomassC,SoilbiologyandBiochemistry,19(1987)703-707.

[37] R. Setia, P. Marschner, J. Baldock, D. Chittleborough, V. Verma, Relationships

betweencarbondioxideemissionandsoilproperties insalt-affected landscapes,Soil

BiologyandBiochemistry,43(2011)667-674.

[38] C. Golueke, Principles of composting, The staff of biocycle journal of waste

recycling. The art of science of composting, in, The JG Press Inc, Pennsylvania,USA,

1991,pp.14-27.

[39]M.Ashraf,M.R. Foolad, Roles of glycinebetaine andproline in improvingplant

abioticstressresistance,EnvironmentalandExperimentalBotany,59(2007)206-216.

[40]C.R.Warren,HighdiversityofsmallorganicNobservedinsoilwater,SoilBiology

andBiochemistry,57(2013)444-450.

[41]M.Potts,Desiccationtoleranceofprokaryotes,Microbiologicalreviews,58(1994)

755.

[42]G.F.Huang,J.W.C.Wong,Q.T.Wu,B.B.Nagar,EffectofC/Noncompostingofpig

manurewithsawdust,WasteManagement,24(2004)805-813.

[43]M.E.Silva,L.T. Lemos,A.C.Cunha-Queda,O.C.Nunes,Co-compostingofpoultry

manure with low quantities of carbon-rich materials, Waste Management and

Research,27(2009)119-128.

[44]S.Andersson,S.I.Nilsson,P. Saetre, Leachingofdissolvedorganic carbon (DOC)

anddissolvedorganicnitrogen (DON) inmorhumusasaffectedby temperatureand

pH,SoilBiologyandBiochemistry,32(2000)1-10.

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93

7. Webreference

MeatandLivestockAustralia,Availablefrom:<http://weather.mla.com.au/climate-

history/sa/monarto>[12February2015]

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94

Table1.Physicalandchemicalpropertiesofnon-salineandthreesalinesoils(from

HasbullahandMarschner2014)

Parameter1

EC1:5(dSm-1)0.14 1.0 2.5 3.3

ECe(dSm-1

) 2.5±0.02 13.9±0.45 34.7±1.67 44.5±1.08

Sand(%) 50 45 47.5 47.5

Silt(%) 35 35 32.5 32.5

Clay(%) 15 20 20 20

Texture Loam Loam Loam Loam

Waterholdingcapacity(%) 32 37 39 44

pH 7.8±0.10 9.0±0.06 8.7±0.06 9.0±0.04

Totalorganiccarbon(%) 1.2±0.04 1.1±0.02 0.9±0.03 0.7±0.03

Totalelements

N(gkg-1

) 1.48±0.20 0.95±0.04 0.95±0.08 0.88±0.08

P(mgkg-1

) 848±73.72 423±7.49 318±19.12 279±6.51

K(gkg-1

) 5.7±0.57 6.1±0.21 6.5±0.30 7.0±0.13

Al(gkg-1

) 32.4±1.50 39.6±0.03 40.0±1.18 38.3±0.66

Fe(gkg-1

) 25.9±1.70 31.7±0.23 33.0±0.60 30.7±1.49

Availablenutrients

NH4N(mgkg-1

) 40.1±0.97 43.7±0.84 41.4±0.91 46.7±0.32

NO3N(mgkg-1

) 8.5±0.09 8.7±0.09 2.7±0.09 1.3±0.05

ColwellP(mgkg-1

) 70±1.13 24±0.66 25±0.76 17±0.19

Solublecations(1:5soil:waterextract)

Ca(mmolL-1

) 0.51±0.00 0.49±0.02 0.96±0.03 0.44±0.04

Na(mmolL-1

) 0.22±0.00 9.79±0.31 21.31±0.62 30.01±0.00

Mg(mmolL-1

) 0.22±0.00 0.29±0.02 0.93±0.03 1.01±0.01

SAR1:5 0.3 11.1 15.5 24.9

1

n=3±standarddeviationexceptfortexture,waterholdingcapacityandSARwhere

n=1.

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95

Table2.Selectedpropertiesofsawdustandkikuyushoots.n=3±standarddeviation

fororganicC,totalN,water-extractableorganicCandKlasonlignin.

Plantresidues Sawdust Kikuyushoots

OrganicC(gkg-1

)

437±42.9 341±40.2

TotalN(gkg-1

) 3.8±0.31 17.6±0.64

C/Nratio 114 19

WaterextractableorganicC

(gkg-1

)8.4±0.24 2.1±0.02

Carbohydrate(%)1

50 51

Carbonyl(%)2

5 2

Lipid(%)2

20 4

Protein(%)2

3 19

Lignin(%)2

22 15

Klasonlignin(%) 68±2 37±1

1

Concentrationscalculatedfrom13

CNMRresultsusingamolecularmixingmodel[34].

Valuesdonotnecessarilyaddupto100%assomeCspecies(e.g.ketones)are

excludedfromthemodel.

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96

Table3.OrganicCadditiontreatmentsinExperiment2.

Treatment Day

0 14 28

Cadditionrate(gC/kg)

10S 10S 0 0

10K 10K 0 0

7.5C+25K 7.5S+2.5K 0 0

5S-2.5S-2.5S 5S 2.5S 2.5S

5S-2.5K-2.5S 5S 2.5K 2.5S

5S-2.5S-2.5K 5S 2.5S 2.5K

(2.5S+2.5K)-2.5S-2.5S 2.5S+2.5K 2.5S 2.5S

5K-2.5K-2.5K 5K 2.5K 2.5K

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97

Table4.Regressionequationsfortherelationshipbetweencumulativerespirationin

salinesoilsinpercentageofthenon-salinesoilforsoilsamendedwithsawdustor

kikuyualone(S100/K0andS0/K100)ormixedatdifferentratios(weightpercentage

sawdustandkikuyuS75/K25,S50/K50,S25/K75)andcalculatedEC1:5atwhich

cumulativerespirationwouldbedecreasedby20%comparedtothenon-salinesoil.

Residuemixture%sawdust/kikuyu

EC1:5atwhichcumulativerespirationisreducedby

20%

Equation R2

S100/K0 y=-23.36ln(x)+50.98 0.88 0.3

S75/K25 y=-16.66ln(x)+68.37 0.97 0.5

S50/K50 y=-14.72ln(x)+71.62 0.91 0.6

S25/K75 y=-12.43ln(x)+76.68 0.91 0.8

S0/K100 y=-13.07ln(x)+73.92 0.96 0.6

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98

ListofFigures:

Figure 1. Cumulative respiration onday 16 in non-saline soil (EC1:50.1 dSm-1

) and saline

soils(EC1:51,2.5and3.3dSm-1

)amendedwith2%w/wfinelygroundresidues:sawdustor

kikuyu alone (S100/K0 and S0/K100) or mixed at different ratios (weight percentage

sawdust and kikuyu S75/K25, S50/K50, S25/K75) (n=3, vertical lines indicate standard

deviation). Bars with different letters are significantly different (P≤0.05, for the residue

treatmentxsalinityinteraction).

Figure2.Relationshipbetweencumulative respirationonday15 insalinesoils (EC1:5

0.1, 1, 2.5 and 3.3 dSm-1

) as percentage of non-saline soil amendedwith 2%w/w

sawdust,kikuyuandtheirmixtures:(a)S100/K0,(b)S75/K25,(c)S50/K50,(d)S25/K75

(e)S0/K100(n=3).

Figure3.Cumulativerespirationover14dayintervals:day0-14,day15-28andday29-

42innon-salinesoil(EC1:50.14dSm-1

)andsalinesoils(EC1.0and2.5dSm-1

)with

mixed,singleandmultipleamendmentsofsawdustandkikuyuresiduestoachievea

totaladditionof10gCkg-1

soil(n=4,verticallinesindicatestandarddeviation).

Differentlettersindicatesignificantdifferences(P≤0.05,fortheresiduetreatmentx

salinityinteraction).Fortreatmentstructure,seeTable3.

Figure4.Relationshipbetweencumulativerespirationandsalinity(EC1:50.14and1,

2.5dSm-1

)aspercentageofnon-salineover14daysafteradditionofatotalof10gC

kg-1

assawdust,kikuyuandtheirmixtureswithsingleandmultipleadditions(n=4).

Valuesinbracketsindicatetheperiodthatwasconsidered.Fortreatmentstructure,

seeTable3.

Figure5.MicrobialbiomassConday42innon-salinesoil(EC1:50.1dSm-1

)andsaline

soils(EC1:51.0and2.5dSm-1

)withmixed,singleandmultipleamendmentsofsawdust

andkikuyuresiduesat10gCkg-1

soil.(n=4±verticallinesindicatestandarderror).

Differentlettersaresignificantlydifferent(P≤0.05,fortheresiduetreatmentxsalinity

interaction)..Fortreatmentstructure,seeTable3.

Figure S1. Relationship between cumulative respiration and saline soils (EC1:5 0.1, 1

and 2.5 dSm-1

) as percentage of non-saline soil over 14 (from day 15 to 28) after

additionofatotalof7.5gCkg-1

assawdust,kikuyuandtheirmixtureswithsingleand

multipleadditions(n=4).Valuesinbracketsindicatetheperiodthatwasconsidered.

Figure S2. Relationship between cumulative respiration and saline soils (EC1:5 0.1, 1

and2.5dSm-1

)aspercentageofnon-salinesoilover14days(fromday0to14)after

additionofatotalof5gCkg-1

assawdust,kikuyuandtheirmixtureswithsingleand

multipleadditions(n=4).Valuesinbracketsindicatetheperiodthatwasconsidered.

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99

Figure2.

def

abab

a

ghi

de

debc

jk

fgh

defg

de

l

jkijk

efgh

m

kljk

hij

0

1

2

3

4

5

6

7

0.14

1

2.5

3.3

0.14

1

2.5

3.3

0.14

1

2.5

3.3

0.14

1

2.5

3.3

0.14

1

2.5

3.3

S100/K0 S75/K25 S50/K50 S25/K75 S0/K100

CumulaW

vere

spira

Won(m

gCO

2-Cg-1

soil)

Sawdust/Kikuyu

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100

Figure2.

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101

Figure3.

cde

ab

a

j

ij

ij

h

de

de

bcd

a

a

gh

de

de

efg

cde

abc

fgh

ef

de

j

ij

i

0

1

2

3

4

5

6

7

8

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

10S 10K 7.5S+2.5K 5S-2.5S-2.5S 5S-2.5K-2.5S 5S-2.5S-2.5K(2.5S+2.5K)-2.5S-2.5S5K-2.5K-2.5K

CumulaW

vere

spira

Won(m

gCO

2-Cg

-1soil)

Treatments

Day0-14 Day15-28 Day29-42

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102

Figure4.

1

2

3

45

y=-27.73ln(x)+42.348R²=0.93

020406080

100120140

0 1 2 3

10S(0-14days)

y=-7.703ln(x)+84.536R²=0.56

0 1 2 3

10K(0-14days)

y=-15.15ln(x)+67.441R²=0.80

020406080

100120140

0 1 2 3

7.5S+25K(0-14days)

y=-21.674x+102.18R²=0.79

0 1 2 3

5S-2.5S-2.5S(29-42days)

y=-7.933x+111.62R²=0.21

0

20

40

60

80

100

120

140

0 1 2 3

5S-2.5K-2.5S(29-42days)

y=-18.377x+104.21R²=0.76

0 1 2 3

5S-2.5S-2.5K(29-42days)

y=-15.11x+99.349R²=0.74

020406080

100120140

0 1 2 3

(2.5S+2.5K)-2.5S-2.5S(29-42days)

y=-6.7402x+104.41R²=0.38

0 1 2 3

5K-2.5K-2.5K(29-42days)

Salinity(EC1:5)

Cumulativerespira

tion(percentageofnon

-salinesoil)

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103

Figure5.

bcdef

abcd

a

i

fgh

cdef

def

bcdef

abcdef

ab

abcde

abc

fg

abcde

abcdef

fgh

cdef

efg def

abcdef

efg

i

ghi

hi

0

50

100

150

200

250

300

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

0.14

1

2.5

10S 10K 7.5S+2.5K 5S-2.5S-2.5S 5S-2.5K-2.5S 5S-2.5S-2.5K (2.5S+2.5K)-2.5S-2.5S5K-2.5K-2.5K

Microbialbiomassc

arbo

n(m

gkg

−1)

Treatments

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104

FigureS1.

1

2

y=-8.298ln(x)+90.404R²=0.18

0

20

40

60

80

100

120

140

0 1 2 3

5S-2.5S-2.5S

y=-9.312ln(x)+82.263R²=0.49

0 1 2 3

5S-2.5K-2.5S

y=-9.065ln(x)+83.558R²=0.74

0

20

40

60

80

100

120

140

0 1 2 3

(2.5S+2.5K)-2.5S-2.5S

y=0.0394ln(x)+100.89R²=9E-05

0 1 2 3

5K-2.5K-2.5K

Cumulativerespiration(percentageofnon

-salinesoil)

Salinity(EC1:5)

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105

FigureS2.

1

2

3

y=-33.03ln(x)+29.974R²=0.92

0

20

40

60

80

100

120

0 1 2 3

5S-2.5S-2.5K

y=-9.285ln(x)+83.401R²=0.77

0

20

40

60

80

100

120

0 1 2 3

5K-2.5K-2.5K

y=-12.68ln(x)+74.54R²=0.78

0 1 2 3

(2.5S+2.5K)-2.5S-2.5S

Cumulativerespira

tion(percentageofnon

-salinesoil)

Salinity(EC1:5)

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106

CHAPTER5:

Generalconclusionsandfuturestudies

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107

Chapter5

GENERALCONCLUSIONSANDFUTURESTUDIES

1. Generalconclusions

Salinity isoneofthemajorthreatstoagriculturalproductionandcontributesto land

degradation,adverselyaffecting5%ofarable landor100millionhectaresworldwide

(Lambers,2003).Saltaccumulatesinsoilparticularlyinaridandsemi-aridareaswhere

precipitationislowerthanevapotranspiration(Flowersetal.,1977;Rengasamy,2008).

In Australia, 30% of total land is affected by salinity and this area is predicted to

increase due to human activities such as poor irrigationwater quality and drainage

systems, irrigation expansion into arid areas and increased clearing of native

vegetationforagriculturaluse(Lambers,2003;Rengasamy,2006).

Salinity adversely affects crop growth and yield as well as soil biological

properties through lowering the osmotic potential and induction of imbalanced ion

uptake (Tejada et al., 2006; Chowdhury et al., 2011).With regard to soil biological

properties,salinitycanreducemicrobialbiomassandactivity,resultinginreducedsoil

respiration(Wichernetal.,2006;Setiaetal.,2010;ElgharablyandMarschner,2011)

andalteredcommunitystructure(RietzandHaynes,2003).Thelattereffectisdueto

differences in ability amongmicrobial genotypes to adapt to salinity (Llamas et al.,

2008).Animportantadaptationmechanismisaccumulationofosmolytes(Hagemann,

2011)whichrequireslargeamountsofenergy(Oren,1999).

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108

Organic matter decomposition is the main energy source for soil microbes.

However, saline soilsgenerallyhave loworganicmattercontentdue toapoorplant

growth(Setiaetal.,2011).Ithasbeenshownthatplantresidueamendmentincreases

microbialactivityinsalinesoil(Chowdhuryetal.,2011;YanandMarschner,2012)and

hasbeenusedforsalinesoilremediation(Tejadaetal.,2006).However,theeffectof

residueamendmentonmicrobialactivity insalinesoilsmaydependonthechemical

compositionoftheresiduesaswellashowtheyareapplied.

Residue chemical properties (lignin content, C/N ratio andwater extractable

organic carbon) are important factor influencing residue decomposability (Abiven et

al.,2005;Xuetal.,2006).Previousstudieswithsalinesoilsusedonlyoneortwotypes

oforganicmatter.Thereforelittleisknownabouthowresiduecompositioninfluences

theimpactofsalinityonmicrobialactivity.

When plant residues are added to soils, the supply of rapidly decomposable

organic C is initially high, but decreases rapidly, leaving only slowly decomposable

compounds e.g. cellulose and lignin (Abiven et al., 2005; Fang et al., 2005). A

consistent supply of rapidly decomposable organic C through repeated residue

addition may be more effective in alleviating the negative effect of salinity to soil

microbialactivitythanasingleamendment.However,littleisknownabouttheeffect

ofresidueadditionfrequencyonmicrobialactivityinsalinesoils.Ifplantresiduesthat

have a strong ameliorative effect onmicrobial activity in saline soils are difficult to

obtainormoreexpensivethanthosewithlittleeffect,mixingofresiduescouldbean

economic option to maximise the beneficial effect of residue addition. To our

knowledge,therearenopublishedreportsontheeffectofmixedresiduesonresponse

ofmicrobialactivitytoincreasingsalinity.

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109

Theaimofthestudiesinthisthesiswastoinvestigateiftheimpactofsalinity

on microbial activity in residue amended soil is influenced by residue chemical

properties, mixing of residues and addition frequency. The first study (Chapter 2)

showed that residue chemical properties play an important role in amelioration of

salinesoilwithresidues.TheadditionofrapidlydecomposableresidueswithlowC/N

ratioandlignincontent,buthighconcentrationofwaterextractableorganicCreduced

the negative effect of salinity on soil respiration compared to slowly decomposable

residues. The importance of C/N ratio of the residues, that is N supply to the

decomposingmicrobes, forreducingthenegativeeffectofsalinityonsoil respiration

wasshownintheexperimentwheretheC/NratioofhighC/Nresiduewasdecreased

byadditionofinorganicN.Ontheotherhand,removalofwater-extractableorganicC

fromresiduesdidnotreducetheameliorativeeffectofresidues.Hence,C/Nratiowas

shown to be more important in alleviating the negative effect of salinity on soil

respiration than water extractable C, possibly by stimulating the synthesis of N-

containingosmolytes.

InChapter3,the influenceofresidueadditionfrequencyonmicrobialactivity

and growth with increasing salinity was investigated. Two residues with distinct

decomposabilitywereselectedfromthepreviousstudy:maturecanolawithhighlignin

concentration and C/N ratio (C/N 82) as a slowly decomposable residue; and young

kikuyu shoots with low lignin concentration and C/N ratio (C/N 19) as a rapidly

decomposableresidue.Theresidueswereaddedonceortwotofourtimes,achieving

thesametotalorganicCaddition (10gCkg-1).Repeatedadditionofkikuyu reduced

the negative effect of salinity on soil respiration compared to a single addition.

However,thiswasnotthecaseforslowlydecomposablecanolaresiduewheresalinity

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110

reducedsoilrespirationstronglywhenaddedonceormultipletimes.Thustheslowly

decomposable residue did not become more effective when added repeatedly

comparedtoasingleaddition.

Theeffectofmixingontheameliorationpotentialofresidueswasinvestigated

in the experiments described in Chapter 4. A rapidly decomposable residue (young

kikuyu,C/N19)andaslowlydecomposableresidue(sawdustwith114C/Nratio)were

used. In the first part of the study,mixed residueswere added oncewith different

proportions of rapidly and slowly decomposable residues. A proportion of only 25%

rapidlydecomposableresiduewassufficienttoreducethenegativeimpactofsalinity

onsoilrespirationcomparedtoasingleamendmentofslowlydecomposableresidues.

InthesecondexperimentofChapter4,residueswereaddedonceorthreetimes(on

days0,14and28)withafinalproportionof25%kikuyuand75%sawdust.Theimpact

of salinity on soil respiration was smallest when kikuyu addition was early in the

incubationperiod,thatis,ifitwasaddedtosoilwithnoorlittleslowlydecomposable

residuepresent.Thismaybeduetotheproportionofsoilmicrobesinproximityofthe

rapidly decomposable residue which will be greater if little slowly decomposable

residueispresentinthesoilwhentheformerismixedintothesoil.

2. Suggestionsforfuturestudies

The experiments described in this thesis provided new insights about how residue

amendmentscouldbeusedtoreducethenegativeeffectofsalinityonsoilmicrobial

activity.However,severalareascouldbeinvestigatedinfuturestudies.

A possible reason for the reduction of the negative impact of salinity on soil

respirationby amendmentwith lowC/N residues is the greater ability to synthesise

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osmolytesmany of which are N-rich (Ashraf and Foolad, 2007;Warren, 2013). In a

future study, residues with different C/N residues could be produced by growing a

cereal at different N supply. The residues with different C/N ratio could then be

appliedtosoilsdifferinginsalinity.Overathreeweekperiod,soilrespirationwouldbe

measuredcontinuouslyandcomparedwithsoilosmolyteconcentrationthatcouldbe

determinedweeklyasdescribedinWarren(2014).

Toinvestigatewhichresidueisdecomposedifmixturesofresiduesareapplied,

a cereal could again be grown with different N supply, but half of the plants are

suppliedwith13CO2(Baumannetal.,2011).Theresiduesfromtheseplantswouldthen

beaddedtosoilinmixturesoflowandhighC/Nresidues,oneofwhichis13Clabelled.

The13CcouldbetrackedinbothreleasedCO2andmicrobialbiomassCaswellasinthe

soilatthestartandtheendoftheexperiment.

Using molecular biology methods, it could be determined to what extent

residue addition alters the microbial community composition and its metabolic

potential. Soils differing in salinity without and with residues of different C/N ratio

could be sampled at different times for extraction of DNA and RNA combinedwith

continuous measurement of soil respiration. Methods such as pyrosequencing or

metatransciptome sequencing using an IlluminaMiSeq or HiSeq platforms could be

used for detailed information aboutmicrobial community composition. Quantitative

PCRcouldbeusedtoquantifyabundanceofspecificgroupssuchasbacteriaorfungi

(Rousketal.,2010;Stoecketal.,2010;Damonetal.,2011;Caporasoetal.,2012).

Intheexperimentsdescribedinthisthesis,theameliorativeeffectofresidues

wasinvestigatedwithrespecttosoilrespirationandmicrobialbiomass.However,the

maingoalofmostsoilameliorationmethods is to improveplantgrowth,particularly

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on agricultural land. Future experiments could determine the effect of addition of

residueswith different C/N ratio (single ormixed) on plant growth, nutrient uptake

andyield.Suchexperimentscouldinitiallybecarriedoutinpotsinaglasshouseand

laterinthefield.Theexperimentscouldbeconductedoverseveralgrowingseasonsto

investigatethelongertermeffectofresidueamendment.

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