ArticlePDF Available

Links between soil microbial communities and plant traits in a species-rich grassland under long-term climate change

Authors:

Abstract

Climate change can influence soil microorganisms directly by altering their growth and activity but also indirectly via effects on the vegetation, which modifies the availability of resources. Direct impacts of climate change on soil microorganisms can occur rapidly, whereas indirect effects mediated by shifts in plant community composition are not immediately apparent and likely to increase over time. We used molecular fingerprinting of bacterial and fungal communities in the soil to investigate the effects of 17 years of temperature and rainfall manipulations in a species-rich grassland near Buxton, UK. We compared shifts in microbial community structure to changes in plant species composition and key plant traits across 78 microsites within plots subjected to winter heating, rainfall supplementation, or summer drought. We observed marked shifts in soil fungal and bacterial community structure in response to chronic summer drought. Importantly, although dominant microbial taxa were largely unaffected by drought, there were substantial changes in the abundances of subordinate fungal and bacterial taxa. In contrast to short-term studies that report high resistance of soil fungi to drought, we observed substantial losses of fungal taxa in the summer drought treatments. There was moderate concordance between soil microbial communities and plant species composition within microsites. Vector fitting of community-weighted mean plant traits to ordinations of soil bacterial and fungal communities showed that shifts in soil microbial community structure were related to plant traits representing the quality of resources available to soil microorganisms: the construction cost of leaf material, foliar carbon-to-nitrogen ratios, and leaf dry matter content. Thus, our study provides evidence that climate change could affect soil microbial communities indirectly via changes in plant inputs and highlights the importance of considering long-term climate change effects, especially in nutrient-poor systems with slow-growing vegetation.
Ecology and Evoluon 2017; 7: 855–862    
|
 855
www.ecolevol.org
Received:20July2016 
|
  Revised:30October2016 
|
  Accepted:27November2016
DOI:10.1002/ece3.2700
ORIGINAL RESEARCH
Links between soil microbial communies and plant traits in a
species- rich grassland under long- term climate change
Emma J. Sayer1,2,3 | Anna E. Oliver4| Jason D. Fridley5| Andrew P. Askew5|
Robert T. E. Mills1| J. Philip Grime6
ThisisanopenaccessarcleunderthetermsoftheCreaveCommonsAribuonLicense,whichpermitsuse,distribuonandreproduconinanymedium,
providedtheoriginalworkisproperlycited.
©2017TheAuthors.Ecology and Evoluon publishedbyJohnWiley&SonsLtd.
1LancasterEnvironmentCentre,Lancaster
University,Lancaster,UK
2SmithsonianTropicalResearchInstute,
Panama,RepublicofPanama
3DepartmentofEnvironment,Earthand
Ecosystems,TheOpenUniversity,Milton
Keynes,UK
4CentreforEcologyandHydrology,
Wallingford,UK
5DepartmentofBiology,SyracuseUniversity,
Syracuse,NY,USA
6DepartmentofAnimalandPlant
Sciences,UniversityofSheeld,Sheeld,UK
Correspondence
EmmaJ.Sayer,LancasterEnvironmentCentre,
LancasterUniversity,Lancaster,UK.
Email:e.sayer@lancaster.ac.uk.
Funding informaon
USNaonalScienceFoundaon,Grant/Award
Number:DEB1242529;EcologicalConnuity
Trust
Abstract
Climatechangecaninuencesoilmicroorganismsdirectlybyalteringtheirgrowthand
acvitybutalsoindirectlyviaeectsonthevegetaon,whichmodiestheavailability
ofresources.Directimpactsofclimatechangeonsoilmicroorganismscanoccurrap-
idly,whereasindirecteectsmediatedbyshisinplantcommunitycomposionare
notimmediatelyapparentandlikelytoincreaseoverme.Weusedmolecularnger-
prinngofbacterialand fungal communies in the soil to invesgate the eects of
17years of temperature and rainfall manipulaons in a species-rich grassland near
Buxton,UK.Wecomparedshisinmicrobialcommunitystructuretochangesinplant
speciescomposionandkeyplanttraitsacross78micrositeswithinplotssubjectedto
winterheang, rainfall supplementaon, or summerdrought. We observed marked
shisinsoilfungalandbacterialcommunitystructureinresponsetochronicsummer
drought. Importantly, although dominant microbial taxa were largely unaected by
drought,thereweresubstanalchangesintheabundancesofsubordinatefungaland
bacterialtaxa.Incontrasttoshort-termstudiesthatreporthighresistanceofsoilfungi
todrought,weobservedsubstanallossesoffungaltaxainthesummerdroughttreat-
ments. There was moderate concordance between soil microbial communies and
plant species composion within microsites. Vector ng of community-weighted
meanplanttraitstoordinaonsofsoilbacterialandfungalcommuniesshowedthat
shisin soilmicrobialcommunitystructure wererelatedtoplant traitsrepresenng
thequalityofresourcesavailabletosoilmicroorganisms:theconstruconcostofleaf
material,foliarcarbon-to-nitrogenraos,andleafdrymaercontent.Thus,ourstudy
providesevidencethatclimate change could aect soil microbial communies indi-
rectlyvia changesinplant inputsandhighlights theimportanceofconsidering long-
termclimate change eects, especially innutrient-poor systems with slow-growing
vegetaon.
KEYWORDS
Buxton,drought,grassland,resilience,resistance,soilbacteria,soilfungi,subordinatetaxa
856 
|
   SAYER Et Al.
1 | INTRODUCTION
Theextremelyhigh diversityofsoil microorganismsmakesitdicult
toestablishlinksbetweenindividualmicrobialtaxaandspecicfunc-
ons(Allison&Marny,2008).Shisincommunitystructurecangive
arstindicaonofwhenandhowmicrobialadaptaonwillinuence
the rate of ecosystem processes (McGuire & Treseder, 2010), and
hence,idenfyingthe responsesofmicrobialcommuniestochange
isanimportantrststeptodeterminingthefunconalconsequences
for ecosystems (Wallenstein & Hall, 2012; Zak, Pregitzer, Burton,
Edwards,&Kellner,2011).
Soil microbial communies carryout the bulk of decomposion
(Swi, Heal, & Anderson, 1979) and catalyse many important pro-
cessesthat drive terrestrialcarbon and nutrientcycling(Schlesinger,
1991). Changes in precipitaon and temperature can aect soil
microbial communies directlyby altering their growth and acvity
butalsoindirectlyviaeectsonthevegetaon(Bardge,Freeman,&
Ostle,2008).Plant-mediatedeectsincludechangesinplantgrowth,
biomassallocaon,photosynthecrate, lier quality, and wateruse
eciency, which are all likely to aect soil microbial communies
(Gutknecht,Field,&Balser,2012).Atthe sameme,plant growthis
alsostronglyinuencedbythesoilmicrobialcommunitybecauseplant
nutrientrequirementsarelargelymetbythebreakdownandmineral-
izaon of organicmaer, which requires the combined acvies of
many dierent microorganisms (Burns etal., 2013). This reciprocal
exchange ofresources between plants and soil microbial communi-
es underpins ecosystem funcon, succession, and recovery from
disturbance(Reynoldsetal.2003)and ishence centraltoecosystem
responsestoglobalchange.
Contrary to the widely held view that high funconal redun-
dancyof microorganisms confers resilienceandresistanceof com-
muniestoperturbaons,soil microbial communies are generally
sensiveto change and not immediatelyresilientaer disturbance
(Allison & Marny,2008). Shis in microbial community composi-
oninresponsetodisturbanceariseprimarilyasaresultofvariaon
inthegrowthratesandresource-useecienciesofthe constuent
organisms,aswellastheirinherentresistanceandacclimaoncapac-
ies(Schimel,Balser,&Wallenstein,2007).Ingeneral,soilfungihave
higherC:Nbiomassstoichiometry,slowergrowthandturnoverrates,
and higher potenal carbon use eciency compared to bacteria
(Waring,Averill,&Hawkes,2013). The lower nutrient requirement
of fungi and their ability to degrade recalcitrant plant lier gives
them an advantage when resource quality is low, whereas rapid
growth and turnover make bacteria beer competors for labile,
high-qualitysubstrates(Waringetal.,2013).Thesegeneralpaerns
ofresourceuseand turnoversupportthe widelyheldviewthatsoil
foodwebsdominatedbyfungiaremoreresistanttoclimatechanges,
whereas bacteria-dominated systems are more resilient (De Vries
etal.,2012a). Nonetheless,there arealso substanaldierencesin
thephysiologies,adapvecapacies,andresourceuseoforganisms
withinagiventaxonomicgroup, which will shape community-level
responsestoclimatechange.
Soilmicrobialcommuniesthatexperiencehighnaturalvariaonin
environmentalcondionsarelikelytobedominatedbygeneralisttaxa
with broad tolerances and resourceuse (Wallenstein & Hall, 2012).
Bycontrast, taxa with specialist funcons or high resourcespecic-
ityarelikelytobemoresensivetodisturbance(Schimel,1995).The
responsesofthesesubordinatetaxatoclimatechangesmaybeparc-
ularlyimportantforthefunconingofnutrient-poorsystemsbecause
species-richplantassemblages havehighchemical diversity(vander
Heijden,Bardge,&vanStraalen,2008),whichrequiresgreatermicro-
bial resourcespecicity and reduces funconal redundancy (Waring
etal.,2013).Assoilmicrobesfacilitatenutrient-drivennicheparon-
inginplants(Reynolds&Haubensak,2008),changesinmicrobialcom-
munitystructureoracvityasaresultofalteredresourceavailability
willfeedbacktoaectplantnutrientavailability.
Althoughtherearemulplelinesofevidencethatclimatechange
can rapidly aect soil microbial communies (Allison & Marny
2008),long-termexperimentsare requiredtoassessindirect eects
viachangesinplantspecies composion, especially in systemswith
stress-tolerant, slow-growing vegetaon.Importantly, dierences in
the resource use and adapve capacies of generalist and special-
ist soil microorganisms also make plant-mediated eectsof climate
changemuch hardertopredict thanthedirect eectsofchangesto
the abioc environment.As a result, community-level responses to
long-termchronicchangescoulddiersubstanallyfromtheimmedi-
ateresponsestoshort-termperturbaons(Schimeletal.,2007).
We invesgated long-term changes in soil bacterial and fungal
communiesattheBuxtonClimateChangeImpactsStudy(henceforth
“Buxton”), where temperature and rainfall have been manipulated
since 1993. Although the vegetaon in this nutrient-poor ancient
grasslandhas proven remarkablyresistant to changeatthecommu-
nitylevel (Grimeetal.,2008), there hasbeensubstanalsmall-scale
turnoverin plant speciescomposionwithin microsites (100cm2) in
responseto summerdrought andwinter heangtreatments(Fridley,
Grime,Askew,Moser,&Stevens,2011).Detailedexisngdataonplant
speciescomposionand plant traits in small-scale microsites within
thetreatmentplots(Fridley,Lynn,Grime,&Askew,2016;Fridleyetal.,
2011)makethisexperimentanidealplaormtoinvesgatepotenal
linksbetweenplantandmicrobialresponsestolong-termchange.We
hypothesized that long-term climate manipulaons would alter soil
microbialcommuniesandthat theshis insoilfungal andbacterial
community structure would be related to changes in plant species
composionviathequalityofplantinputstothesoil.
2 | METHODS
The Buxton study was established in 1993 on calcareous grassland
in Derbyshire, UK. Climate treatments are applied to 3-m×3-m
plotsinvefullyrandomizedblocks;afulldescriponofthesiteand
experimentaldesign is giveninGrime etal. (2000,2008).The treat-
ments sampled in the present study were: “heated” to 3°C above
ambient temperature from November to April; “drought” in which
rainfall is excluded during July and August; “watered” with water
    
|
 857
SAYER Et Al.
supplementaonof20% above the long-term averagefromJuneto
September;and nonmanipulated controls. Between2006and 2008,
eight 10-cm×10-cm microsites were established in each plot; the
microsites were characterized by detailed measurements of surface
soilpH(0–3cmdepth)andsoildepth(Fridleyetal.,2011),andallvas-
cularplantsinthemicrositesweresurveyedin2008and2012.
2.1 | Sampling
Soildepth variessubstanally acrossthestudy site,andas themost
pronounceddierences inplantspecies composion wereobserved
betweenthe shallowest anddeepestmicrosites within plots(Fridley
etal., 2011), we collected two soil samples from each of the two
shallowest(0–7cmsoil depth) and the two deepest (>20cm depth)
micrositesperplotinSeptember2011.Toexcludeimmediateabioc
eectsof the treatments, we sampled1monthaer the end of the
annual drought and rainfall treatments but before the start of the
winterwarmingtreatment.Weuseda1-cm-diameterpunchcorerto
minimizedisturbancetothevegetaon andthesamplingdepthin all
micrositeswas ≤10cm. Two oftheshallowestmicrosites were bare
bedrockandnosampleswerecollected;allothersampleswerecom-
positedtomakeonesampleper microsite,makingatotalof78sam-
ples.Allsamplesweretransportedtothelaboratoryoniceandfrozen
at−20°Conthesameday.
2.2 | Molecular analyses
To invesgate the eects of climate treatments on soil microbial
communies,weperformed communityngerprinngusingterminal
restriconfragmentlengthpolymorphism(TRFLP)analysisofsoilbac-
teriaand fungi. This low-cost high-throughputmethod can perform
as well as deep sequencing when invesgang ecological paerns
inmicrobial communies atlocalto regional scales(vanDorst etal.,
2014)andprovidesqualitavelysimilardataformodelingcommunity
dynamics(Powelletal.,2015).DNAwasextractedfrom0.25gofsoil
andresuspendedfollowing Griths,Whiteley,O’Donnell,andBailey
(2000) as described in Sayer etal. (2013). Briey, we targeted the
bacterial16SrRNA geneusingtheprimers63F and530R(Thomson,
Ostle,&McNamara,2010)andthefungalITSregionusingtheprimers
ITS1-FandITS4 (Klamer &Hedlund,2004;Klamer, Roberts, Levine,
Drake,&Garland,2002).Forwardprimerswerelabeledatthe5′end
with6FAMuorescentdye,andPCRwasconductedin50μlreacon
volumesusing50ngoftemplateDNA.Ampliconswerepuriedusing
PureLinkPCRpuricaon kits (Invitrogen, Paisley, UK)anddigested
using restricon endonuclease MspI for bacteria (Thomson etal.,
2010) and Taq1 for fungi (Jasalavich, Ostrofsky, & Jellison, 2000;
Singh, Dawson, Macdonald, & Buckland, 2009). Fragment analysis
wasperformedusinga3730DNA analyser(AppliedBiosystems,CA,
USA)andindividualterminalrestriconfragments(TRFs)werebinned
manuallyusingGenemarkersoware(SoGenecs,PA,USA).Priorto
stascalanalyses, theintensity ofeachTRFwasconverted torela-
veabundancebasedonthetotalintensityofalldetectedTRFs;for
plot-levelanalyses,we used themeanabundanceof each TRFfrom
the four microsites per plot. This approach provides a semiquan-
tave measure of abundance to assess dierences in soil microbial
communitystructureamongsitesbutprecludesmeasuresofdiversity
(Bent,Pierson,&Forney,2007)andexcludesrarespecies(Woodcock,
Curs,Head,Lunn,&Sloan,2006).
2.3 | Data analyses
All stascal analyses were carried out in R version 3.2.3 (R Core
Team2014), and allmulvariate analyses wereperformedusing the
vegan (Oksanen etal., 2011) package. As soil depth and pH within
microsites were inversely correlated, we used the rst axis scores
froma principal components analysis of mulple soil depth and pH
measurements to characterize each microsite (Fridley etal., 2011;
henceforth“micrositescores”).Foreach microsite, we also included
plantspeciesdatafromFridleyetal.(2011,2016)represenngeight
10-cm×10-cm quadrats within each 3×3-m plot and community-
weightedplant trait datafromFridley etal. (2016),represenngthe
quality and quanty of resources available to soil microorganisms:
specic leaf area (measured as fresh leaf area per gram dry mass);
maximumphotosynthec capacity(measured fromlightcurves); leaf
construconcost(ingramglucosepergramleaffollowingHeberling
&Fridley,2013);leafdrymaercontent(dry-to-freshmassrao);and
leafC:Nrao.Community-weighted trait values were calculated by
takingthe weightedaverageof trait valuesofthose speciespresent
inagivenmicrositefromtheirabundances,usingvisualcoverclasses
(0–4,5–24,25–49,50–74,75%+;Fridleyetal.,2016).
Theeectsofclimatetreatmentsonsoilfungalandbacterialcom-
munitycomposionattheplotlevelwereexaminedbypermutaonal
mulvariateanalysisofvariance(PerMANOVA;adonisfuncon)aer
tesngforhomogeneityofdispersionsamongtreatments(betadisper
funcon); modelswere tested with 9,999 permutaons constrained
within blocks of replicateplots (permutest funcon). We used non-
metricmuldimensionalscaling(NMDS)basedonBray–Cursdissim-
ilaries to represent shis in soil microbialcommunies (metaMDS
funcon);stablesoluonswithstressscores<0.2 andr2>.95were
usedforsubsequentanalyses,resulnginatwo-dimensionalsoluon
forbacteriaandathree-dimensionalsoluonforfungi.Wethenused
vectorngtotheNMDSordinaons(envtfuncon)todetermine
the eects of microsite, climate treatments, extracellular enzyme
acvies,andkeyplanttraits;signicancevaluesweregeneratedwith
9,999randompermutaonsstraedwithinexperimentalblocks.
Pairwise concordance between plant species composion and
soil fungal or bacterial communies in micrositeswithin each treat-
mentwasinvesgatedusingProcrustesrotaon(Procrustesfuncon)
basedonthemoststableNMDSsoluons forallthreecommunies;
theProcrustes stascwas testedwith 9,999 permutaons(protest
funcon).As no vegetaonsurveywas conducted in the soil micro-
bialsamplingyear (2011), werstcomparedplant species composi-
onfromthe 2008 and 2012 surveysand then performed separate
comparisons for each year. Plant species composion was highly
correlated between survey years (Procustes correlaon: m2=.58,
r2=.65, p<.001), and we found the same degree of concordance
858 
|
   SAYER Et Al.
betweenplantspeciesandmicrobialcommunitycomposionregard-
lessofsurveyyear.Wethereforeusedthe2012vegetaondataforall
subsequentanalyses.
Todierenatetheresponsesof dominantandsubordinatefun-
galandbacterialtaxa,weperformedallordinaonswithandwithout
themostabundantTRFs.Weusedconservavecutopointsso that
<10%ofalltaxawereconsideredabundant.Consequently,dominant
taxaweredenedasthosewithtotalrelaveTRFabundance>0.75%
across all plots forfungi and >1% for bacteria; all other TRFswere
consideredassubordinatetaxa.
3 | RESULTS
Seventeenyearsofclimatetreatmentsresultedindivergentsoilfungaland
bacterialcommuniesatthewhole-plotlevel(PerMANOVAF3,19=1.00,
p=.028andF3,19=1.47,p=.01forfungiandbacteria,respecvely).We
idenedatotal of 230 fungal and 112bacterialtaxaacrossall micro-
sites;the dominant taxa (22fungaland19 bacterial taxa) werepresent
inalltreatmentsatsimilarrelaveabundances(Fig.S1),butweobserved
pronounceddierencesinsubordinate taxa(fungi:F3,19=1.20,p=.003;
bacteria:F3,19=1.53,p=.008;Figures1c,d,S2,andS3).
VectorngtoNMDSordinaonsofplot-leveldatarevealedthat
theheang andwateredtreatmentshadlileornoeect,butthere
weresubstanalchangesinsoilmicrobialcommuniesinthedrought
plots.Therewasonlyaminoreectofthesummerdroughttreatment
on the whole soil fungal community (r2=.12, p=.073; Figure1a)
but subordinate fungal taxa were signicantly aected by drought
(r2=.27, p=.044; Figure1c) and 66 of the 208 subordinate fun-
galtaxawere enrelyabsentfrom the drought treatments.Drought
alsoalteredbacterial communitystructure(r2=.2, p=.02;Figure1b)
but subordinate taxa werenot disproporonately aected (r2=.25,
p=.033;Figure1d)andonlysix ofthe 93subordinatebacterialtaxa
wereenrelyabsentfromthedroughtplots.
There was moderateconcordance between plant species and
soilmicrobialcommunitycomposioninmicrosites(Procrustescor-
relaon:m2=.81, r2=.44,p=.001for fungiandm2=.84, r2=.4,
p=.001 for bacteria; Figure2); the strength of the relaonships
decreased slightly when dominant taxawere excluded (m2=.88,
r2=.34andm2=.86,r2=.37forfungiandbacteria,respecvely).
Vector ng of microsite scoresand plant trait data to NMDS
ordinaons of soil microbial taxa revealed a signicant correlaon
between microsite characteriscs and soil fungal (r2=.16, p=.003)
andbacterial communitystructure(r2=.15,p=.003),but individual
planttraitsexplainedasimilaror greater amount ofvariaon in soil
microbialcommuniesamongmicrosites:Leafconstruconcostwas
the best predictor of shis in community structure for both fungi
(r2=.14, p=.004) and bacteria (r2=.20, p=.001). Soil fungal com-
munitystructurewasalsorelatedtoleafdrymaercontent(r2=.08,
p=.03;Figure3a),whereasbacterialcommunitystructurewasrelated
toplantC:Nraos(r2=.15,p=.009;Figure3b).Changesintherela-
ve abundances ofsubordinate microbial taxa were also associated
with the construcon cost of plant material (r2=.1, p=.025 and
r2=.09,p=.018 for fungiandbacteria,respecvely; Figure3c),and
shisinsubordinatebacterialtaxawerealsorelatedtotheC:Nrao
ofplantmaterial(r2=.13,p=.037;Figure3d).
FIGURE1 NMDSrepresentationof(a)
soilfungalcommunities,(b)soilbacterial
communities,(c)subordinatefungaltaxa,
and(d)subordinatebacterialtaxain
grasslandplotssubjectedtolong-term
climatetreatments;ordinationswere
basedonBray–Curtisdissimilaritiesand
hullsenvelopeallplotswithinatreatment,
where“C”iscontrol,“H”isheated,“D”is
drought,and“W”iswatered;significant
correlations(p<.05)betweenordination
axesandtreatmentsorcommunity-
weightedplanttraitsareshownasarrows,
where“Ccost”istheconstructioncostof
plantmaterial
–0.6 –0.20.2 0.40.6 0.8
–0.6
–0.4
–0.2
0.0
0.2
0.4
0.6
Ccost
C
D
H
W
NMDS Axis 2
–0.6 –0.4 –0.2 0.00.2 0.
40
.6
–0.4
–0.2
0.0
0.2
0.4
Drought
Ccost
C
DH
W
Control
Drought
Warming
Irrigated
–2.0 –1.5 –1.0 –0.50.0 0.51.0
–1.0
–0.5
0.0
0.5
1.0
1.5
Drought
Ccost
C
D
H
W
NMDS Axis 2
NMDS Axis 1
–0.5 0.00.5 1.0
–0.5
0.0
0.5
1.0
Drought
Ccost
C
D
H
W
(a) All fungi (b) All bacteria
(c) Subordinate fungi (d) Subordinate bacteria
NMDS Axis 1
    
|
 859
SAYER Et Al.
4 | DISCUSSION
Long-term climate treatments at Buxton modied the communies
of bacteria and fungi in the soil. Whereas the relave abundances
of dominant microorganisms were similar among treatments, we
observedchangesinsubordinatefungalandbacterialtaxa.Wefound
evidence for potenal links between the observed changes in soil
microbial community structure and specic traits of the plant com-
munieswithinmicrosites.
4.1 | Climate treatment eects on soil microbial
community structure
In contrast to previous studies, we found a strong eect of drought
on soil fungal community structure in microsites within the climate
FIGURE2 ResidualsofProcrustes
rotations(unitless)showingthe
associationsbetweenNMDSsolutions
ofplantspeciescompositionand(a)soil
fungalcommunitiesor(b)soilbacterial
communitiesforeachmicrositewithinthe
Buxtonclimatetreatments,wherepale
shadedbarsdenoteshallowmicrositesand
solidbarsdenotedeepmicrosites;median
(dashedline)andupperandlowerquartiles
(dottedlines)areshown;largeresiduals
indicateindividualmicrositeswithaweak
concordancebetweenplantandmicrobial
communities
0.00
0.05
0.10
0.15
0.20
0.25
0.30
Procrustes residuals
(a)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
Procrustes residuals
(b)
ControlDrought Heated Watered
FIGURE3 NMDSrepresentationof
(a)thesoilfungalcommunity,(b)thesoil
bacterialcommunity,(c)subordinatefungal
taxa,and(d)subordinatebacterialtaxa
inmicrositeswithintheBuxtonclimate
treatments;ordinationswerebasedon
Bray–Curtisdissimilaritiesandsignificant
correlationsofcommunity-weighted
plantfunctionaltraitsandenvironmental
variableswithordinationaxesareshownas
arrows,where“Msite”isamicrositescore
basedonmultiplemeasurementsofsoil
depthandpH,“Ccost”istheconstruction
costofplantmaterial,“C:N”isthecarbon-
to-nitrogenratioofplantmaterial,and
“LDMC”isleafdrymattercontent
–2 –1 012
–2
–1
0
1
2
Microsite
Drought
Ccost
LDMC
(a) All fungi
Control
Drought
Warming
Irrigated
NMDS Axis 2
–2 –1 012
–1.5
–1.0
–0.5
0.0
0.5
1.0
1.5
Microsite
Drought
C:N
Ccost
(b) All bacteria
–2 –1 012
–2
–1
0
1
2
Drought
Ccost
(c) Subordinate fungi
NMDS Axis 2
NMDS Axis 1
–2 –1 012
–1.5
–1.0
–0.5
0.0
0.5
1.0
1.5
Drought C:N
Ccost
(d) Subordinate bacteria
NMDS Axis 1
860 
|
   SAYER Et Al.
treatments,whichwaslargelyaresultofchangesinthe relaveabun-
dancesofsubordinatefungi (Figures1cand S2).This wasunexpected
becausefungi are widely regarded as drought-tolerant (Harris,1981;
Schimeletal.,2007)andpreviousstudieshavereportedhighresistance
ofsoilfungitodroughttreatments(DeVriesetal.,2012a;Fuchslueger,
Bahn,Fritz,Hasibeder,&Richter,2014;Yusteetal.,2011).Wepropose
twopossibleexplanaonsforthisapparentdiscrepancy:
1. Changes in the abundances of fungal taxa may be more im-
portant and more readily apparent in grasslands such as Buxton,
becausefungal decomposers are more importantinsystems with
low soil ferlity and slow-growing perennial plant species (De
Vries etal., 2012b). Conversely, many of the studies reporng
high resistance of soil fungi to drought were conducted in pro-
ducve grasslands with bacteria-dominated soil food webs (e.g.
De Vries etal., 2012a,b; Fuchslueger etal., 2014).
2. Toourknowledge,ourstudyisthersttodisnguishtheresponses
ofdominant and subordinate microbial taxa to long-term climate
treatments.Ontheonehand,thedominanttaxawerelargelyunaf-
fected by drought, which supports the hypothesis that they are
likelytobegeneralistswithabroadrangeoftolerances(Wallenstein
&Hall,2012).Ontheotherhand,32%ofallsubordinatefungaltaxa
wereenrelyabsentfromthedroughttreatments.Assubordinate
taxarepresentonlyasmallproporonof thetotal fungalcommu-
nity,thesechangeswouldgoundetectedinstudiesusingindiscrim-
inateorlow-resoluonmethodssuchasmicrobialbiomassorlipid
biomarkers,becausethosemeasurements would primarily reect
changesinmostabundanttaxa.
Weused generalfungal primers that donotspecically targetmy-
corrhizal fungi, and consequently, the observed shis in the drought
treatmentswillmainlyreectdierencesinthe abundancesofdecom-
poserandpathogenicfungi(Klamer&Hedlund,2004;Sayeretal.,2013).
Nonetheless,apreviousstudyatBuxtonshowedthatthedroughttreat-
mentsreducedthedensityofextraradicalmycorrhizalhyphaeinthesoil
(Staddonetal.,2003),whichcouldalsocontributetotheshisinfungal
communitystructureinourstudy.
Drought also alteredbacterial community structure in the soil but
subordinate taxa were not disproporonately aected (Figure1b,d)
and only six taxawere enrely absent from the droughtplots. As the
treatmentswereappliedduringtwosummermonthseachyear,thehigh
resilience of bacteria to short-term “pulse” disturbances (Shade etal.,
2012)couldallowmostsoilbacterialtaxatopersistinalltreatmentsand
microsites.Furthermore,dormant organisms,which areincluded inour
communityngerprints (Rastogi& Sani, 2011),canpersist under unfa-
vorablecondions,andrapidgrowthrateswouldallowdormantbacteria
torecoverrapidlyaertheendofatreatmentperiod(Shadeetal.,2012).
4.2 | Links between plant funconal traits and soil
microbial responses to change
Theorecally, the soil microbial communies at Buxton should be
adaptedtodroughtbecausetheynaturallyexperiencehigh variaon
in soil moisture (Schimel etal., 2007; Wallenstein & Hall, 2012).
Nonetheless,17yearsofchronicsummerdroughtalteredsoilmicro-
bialcommunies and the relaonships between soil microbial com-
munity structure, plant species composion, and plant traits within
themicrositesatBuxtonprovideevidencetosupportourhypothesis
for indirect eects of climate change on soil microbial community
structure via plant inputs. The climate treatments at Buxton have
resultedindisnctplantcommuniesinmicrositeswithinthedrought
andheatedplots (Fridleyetal.,2011).Arecentstudyof community-
weightedplanttraitsdemonstratedgreaterinvestmentinleafmaterial
by slow-growing, stress-tolerant plant species in the drought plots,
whereas the plant traits in the heated plots reect greater produc-
vityof more compevespecies (Fridley etal.,2016).We hypoth-
esizedthatshis inplanttraitsrepresenngthequalityandquanty
ofresourcesavailable to microorganisms could explain some of the
observedchangesinsoilmicrobialcommunies.
Changesin soil microbialcommuniesin the droughtplotswere
related to the high leaf construcon cost of slow-growing, stress-
tolerant vegetaon (Figures1 and 3; Fridley etal., 2011). Shis in
the relave abundances of microbial taxa could therefore reect
increased abundance oforganisms that are able to degrade recalci-
trantplantmaterial,withconcomitantdeclinesin taxadependent on
labile,nutrient-richplantmaterial.Shisinthesoilfungalcommunity
werealsorelatedtoleaf drymaercontent,whereaschangesinsoil
bacteria were related to dierences in plant C:N raos (Figure3).
These relaonships indicate that shis in the abundances of spe-
cictaxacouldbelinkedtodecomposionprocessesbecausefungal
decomposersarespecializedindegradingtough,nutrient-poorcarbon
sources,whereas many soil bacterial groups preferenally use more
labileplantmaterialandhavehighernutrientrequirements(DeBoer,
Folman,Summerbell,&Boddy,2005).
Changesin therelaveabundanceofsubordinate taxawerealso
relatedtofunconaltraitsassociatedwiththequalityof plantmate-
rial(Figure3b,d),butintriguingly,theconcordancebetweenplantand
microbialcommuniesdecreasedwhendominanttaxawereexcluded.
Thissuggests that the observedlinksbetweenmicrobial community
structureandvegetaon within microsites could be associated with
resource quality,rather than with parcular plant species. Species-
rich plant assemblages have high chemical diversity,which requires
greatermicrobial resource specicity and reduces funconal redun-
dancy(vanderHeijdenetal.,2008).Thesubstanallossesofsubordi-
natefungaltaxainthedroughtplotscouldthereforeindicategreater
sensivityofspecialists withhigh resourcespecicityorcompeve
exclusionbyorganismsthathavebeneedfromthechangesinplant
inputs. As the relave abundances of the dominant microbial taxa
remainedlargelyunchanged(Fig.S1),theshisinsoilmicrobialcom-
munitystructureamongclimatetreatmentswerelargelydrivenbythe
responsesofsubordinate taxaandweproposethatchangesin plant
inputswithinmicrositesrepresentaplausiblemechanismfortheshis
insubordinatesoilmicrobialtaxa.
As the aim of our study was to invesgate the possibility of
indirect, bioc eects of climate changes, we collected soil sam-
pleswhennotreatmentswereacvelybeingapplied;thisprecludes
    
|
 861
SAYER Et Al.
analysisofseasonalchanges inmicrobialcommuniesbutensured
comparable soil temperature and soilwater content among treat-
ments (Fridleyetal., 2016). We found evidence of links between
plant traits and soil microbial communiesdespite the breadth of
microbialfunconalgroupsincludedinourcommunityngerprints;
theseeminglysmalleectsizesinourstudyareunsurprising,given
the high microbial diversityand the potenal inuence of numer-
oussoilphysical and chemical properes.SoilpHin parcular has
an overriding eect on soil bacteria (Fierer, Bradford, & Jackson,
2007;Griths etal., 2011), anditis conceivable thatsomeof the
observeddierencesinbacterialcommunitystructurearearesultof
lowersoilpHinthedroughtplotsanddeepmicrosites(Fridleyetal.,
2011) or a directeect of dierences in soil depth. Nevertheless,
plant C:N raos explained a greaterproporon of the variaonin
soil bacteria compared to micrositecharacteriscs (soil depth and
pH)andthecarbonconstruconcostsofplantmaterialexplained
anequivalentamountofvariaoninbothbacterialandfungalcom-
munity structures. Inaddion, the eect of microsite was weaker
or enrely absentwhen dominant microbial taxa were excluded,
whereastheeectofdroughtandtherelaonshipwithplantfunc-
onaltraitsremained(Figure3).Thissuggeststhatsubordinatetaxa
maybemoresensivetochangesinresourcequalitythansoildepth
orpH.Hence,wesuggestthattheconcordancebetweenplantspe-
cies composion and microbial community structure in our study
providesevidence forplant-mediated eects ofclimate change on
soilmicrobialcommuniesandthelinkstospecicplanttraitssug-
gest that decomposion processes mayplay an important role in
concertedabove-andbelowgroundresponsestolong-termclimate
change(McGuire&Treseder,2010).
5 | CONCLUSIONS
Our study highlights the importance of considering long-term and
indirect eects of climate changes on soil microbial communies,
especially in nutrient-poor systems with slow-growing vegetaon.
Whereasclimatechangescanrapidlymodifytheabiocenvironment,
comprehensive shis in community-level plant funconal traits are
likely to become more relevant and more apparent over me. The
unexpected drought response of soil fungi and the links between
microbialcommuniesandkeyplantfunconaltraitsinourstudysug-
gestthatmicrobial resistanceoracclimaontodirectclimatechange
eectscouldbesubsumedbyalteredplantspeciescomposioninthe
longrun,withasyetunknownconsequencesforecosystemfuncon.
ACKNOWLEDGMENTS
The Buxton Climate Change Impacts Laboratory is funded by the
USNaonalScienceFoundaon(DEB1242529)andtheEcological
Connuity Trust. The authors thank R.I. Griths for guidance on
analyses, M.S. Heard for help with eldwork, and L. Heernam for
technicalassistance.
CONFLICT OF INTEREST
Theauthorshavenoconictofinteresttodeclare.
DATA ACCESSIBILITY
AlloriginaldatausedinthispaperwillbearchivedinDryadandmade
publicly accessible upon publicaon; previously published data on
plant species composion and plant traits, which were used in the
analyses,arereferencedinthetext.
REFERENCES
Allison,S.D.,&Marny,J.B.H.(2008). Resistance,resilience,andredun-
dancyinmicrobialcommunies.Proceedings of the Naonal Academy of
Sciences USA,105,11512–11519.
Bardge,R.B.,Freeman,C.,&Ostle,N.J.(2008).Microbialcontribuons
to climate change through carbon cycle feedbacks. ISME Journal,2,
805–814.
Bent,S.J., Pierson, J. D., & Forney,L. J. (2007). Measuring species rich-
nessbased onmicrobial communityngerprints:The emperorhasno
clothes.Applied and Environmental Microbiology,73,2399–2401.
Burns,R.G.,DeForest,J.L.,Marxsen,J.,Sinsabaugh,R.L.,Stromberger,M.
E.,Wallenstein,M.D.,…Zoppini,A.(2013).Soilenzymesinachanging
environment:Currentknowledgeandfuturedirecons.Soil Biology and
Biochemistry,58,216–234.
DeBoer,W.,Folman,L. B., Summerbell, R.C.,& Boddy,L.(2005). Living
inafungalworld:Impactoffungionsoilbacterialnichedevelopment.
FEMS Microbiology Reviews,29,795–811.
De Vries,F.T., Liiri, M. E., Bjørnlund, L., Bowker,M. A., Christensen, S.,
Setälä,H.M.,&Bardge,R.D.(2012a).Landusealtersthe resistance
andresilienceofsoilfoodwebs todrought.Nature Climate Change,2,
276–280.
DeVries, F.T.,Manning, P.,Tallowin,J. R., Mormer,S. R., Pilgrim, E. S.,
Harrison, K.A., … Kage, J. (2012b). Abioc drivers and planttraits
explainlandscape-scalepaernsinsoilmicrobialcommunies.Ecology
Leers,15,1230–1239.
Fierer,N., Bradford,M. A., &Jackson, R. B. (2007).Towardan ecological
classicaonofsoilbacteria.Ecology,88,1354–1364.
Fridley,J.D.,Grime,J.P.,Askew,A.P.,Moser,B., &Stevens,C.J.(2011).
Soil heterogeneitybuers community response to climate change in
species-richgrassland.Global Change Biology,17,2002–2011.
Fridley,J.D.,Lynn,J.S.,Grime,J.P.,&Askew,A.P.(2016).Longergrowing
seasons shi grassland vegetaon towardmore producve species.
Nature Climate Change,6,865–868.
Fuchslueger, L., Bahn, M., Fritz, K., Hasibeder, R., & Richter, A. (2014).
Experimental drought reduces the transfer of recently xed carbon
tosoil microbes andaltersthe bacterial communitycomposion in a
mountainmeadow.New Phytologist,201,916–927.
Griths,R.I.,Thomson,B.C.,James,P.,Bell,T.,Bailey,M.J.,&Whiteley,
A.S.(2011).The bacterialbiogeographyofBrishsoils.Environmental
Microbiology,13,1642–1654.
Griths,R.I.,Whiteley,A.S.,O’Donnell,A.G.,&Bailey,M.J.(2000).Rapid
methodforcoextraconofDNAandRNAfromnaturalenvironments
foranalysis ofribosomal DNA andrRNA-based microbialcommunity
composion.Applied Environmental Microbiology,66,5488–5491.
Grime,J.P.,Brown,V.K.,Thompson,K.,Masters,G.J.,Hillier,S.H.,Clarke,
I.P.,…Kielty,J.P.(2000).Theresponseoftwocontrastedgrasslandsto
simulatedclimatechange.Science,289,762–765.
Grime,J. P., Fridley, J.D., Askew,A. P.,Thompson, K., Hodgson, J. G., &
Benne, C. R. (2008). Long-term resistance to simulated climate
changeinaninferlegrassland.Proceedings of the Naonal Academy of
Sciences USA,105,10028–10032.
862 
|
   SAYER Et Al.
Gutknecht,J.L.,Field,C.B.,& Balser,T.C.(2012).Microbialcommunies
andtheirresponsestosimulatedglobal changeuctuate greatlyover
mulpleyears.Global Change Biology,18,2256–2269.
Harris,R.F.(1981).Eectofwaterpotenalonmicrobialgrowthandacv-
ity.InJ.F.Parr,W.R.Gardner,&L.F.Elliot(Eds.),Water potenal rela-
ons in soil microbiology(pp.23–95).Madison,WI:ASA.
Heberling,J.M., &Fridley,J.D.(2013). Resource-usestrategiesofnave
andinvasiveplantsinEasternNorthAmericanforests.New Phytologist,
200,523–533.
vanderHeijden, M. G. A., Bardge,R.D.,& van Straalen, N. M. (2008).
The unseen majority: Soil microbes as drivers of plant diver-
sity and producvity in terrestrial ecosystems. Ecology Leers, 11,
296–310.
Jasalavich,C.A., Ostrofsky,A.,&Jellison,J. (2000).Deteconandiden-
caonofdecayfungiinsprucewoodbyrestricon fragmentlength
polymorphismanalysisofampliedgenesencodingrRNA.Applied and
Environmental Microbiology,66,4725–4734.
Klamer,M.,&Hedlund,K.(2004).Fungaldiversityinset-asideagricultural
soil invesgated using terminal-restricon fragment length polymor-
phism.Soil Biology and Biochemistry,36,983–988.
Klamer, M., Roberts, M. S., Levine, L. H., Drake, B. G., & Garland, J.L.
(2002). Inuence of elevated CO2 on the fungal community in a
coastaloak forestsoil invesgatedwithterminal-restriconfragment
lengthpolymorphism analysis.Applied Environmental Microbiology, 68,
4370–4376.
McGuire,K.L.,&Treseder,K.K. (2010). Microbialcommunies andtheir
relevanceforecosystem models:Decomposionas acasestudy.Soil
Biology and Biochemistry,42,529–535.
Oksanen,J.,Blanchet,F.G.,Kindt,R.,Legendre,P.,O’Hara,R.B.,Simpson,
G.L.,…Wagner,H.(2011).vegan: Community ecology package.Rpack-
ageversion1.17-11.
Powell,J.R.,Karunaratne,S.,Campbell,C.D.,Yao,H.,Robinson,L.,&Singh,
B.K.(2015).Determiniscprocessesvaryduringcommunityassembly
forecologicallydissimilartaxa.Nature Communicaons,6.
RCoreTeam(2014).R: A language and environment for stascal compung.
Vienna, Austria: R Foundaonfor Stascal Compung. URL hp://
www.R-project.org/.Version3.03.
Rastogi,G.,&Sani,R.K.(2011).Moleculartechniquestoassessmicrobialcom-
munitystructure,funcon,anddynamicsintheenvironment.InI.Ahmad,
F.Ahmad,&J.Pichtel(Eds.),Microbes and microbial technology: Agricultural
and environmental applicaons(pp.29–57).NewYork:Springer.
Reynolds,H.L.,Packer,A.Bever,J.D.,&Clay,K.(2003).Grassrootsecol-
ogy: plant-microbe-soil interacons as drivers of plant community
structureanddynamics.Ecology,84,2281–2291.
Reynolds,H.L.,&Haubensak,K.A.(2008).Soilferlity,heterogeneity,and
microbes:Towardsanintegratedunderstandingofgrasslandstructure
anddynamics.Applied Vegetaon Science,12,33–44.
Sayer,E.J.,Wagner,M.,Pywell,R.F.,Oliver,A.E.,Whiteley,A.S.,James,P.,
&Heard, M.S.(2013). Grasslandmanagementeects oncommunity
composionandsmall-scalespaaldistribuonofplants,bacteriaand
fungi.Soil Biology and Biochemistry,61,61–68.
Schimel, J. (1995). Ecosystem consequences of microbial diversity and
communitystructure.InF.Chapin,&C.Korner(Eds.),Arcc and alpine
biodiversity: Paerns, causes, and ecosystem consequences (pp. 239–
254).Berlin:Springer.
Schimel,J.,Balser,T.C.,&Wallenstein,M.(2007).Microbialstressresponse
physiology and its implicaons forecosystem funcon. Ecology, 88,
1386–1394.
Schlesinger, W. H. (1991). Biogeochemistry: An analysis of global change.
NewYork:AcademicPress.443pp.
Shade,A., Peter, H., Allison, S. D.,Baho, D. L., Berga, M., Bürgmann, H.,
…Handelsman,J.(2012).Fundamentalsofmicrobialcommunityresis-
tanceandresilience.Froners in Microbiology,3.
Singh, B. K., Dawson, L.A., Macdonald, C. A., & Buckland, S. M. (2009).
Impactofbioc andabiocinteracononsoilmicrobialcommunies
andfuncons:Aeldstudy.Applied Soil Ecology,41,239–248.
Staddon,P.L.,Thompson,K.,Jakobsen,I.,Grime,J.P.,Askew,A.P.,&Fier,
A.H.(2003).Mycorrhizalfungal abundance is aected by long-term
climacmanipulaonsintheeld.Global Change Biology,9,186–194.
Swi,M.J.,Heal,O.W.,&Anderson,J.M.(1979).Decomposion in terres-
trial ecosystems.Oxford:BlackwellSciencPublicaons.
Thomson, B. C., Ostle, N. J., & McNamara, N. P. (2010). Vegetaon
aects the relaveabundances of dominant soil bacterial taxa and
soilrespiraonratesinanuplandgrasslandsoil.Microbial Ecology,59,
335–343.
vanDorst,J., Bisse,A., Palmer,A.S., Brown,M., Snape,I., Stark,J.S.,…
Ferrari,B.C.(2014).Communityngerprinngina sequencingworld.
FEMS Microbiology Ecology,89,316–330.
Wallenstein,M.D., &Hall,E. K.(2012).Atrait-basedframeworkforpre-
dicng when and wheremicrobial adaptaon to climate change will
aectecosystemfunconing.Biogeochemistry,109,35–47.
Waring,B.G.,Averill,C.,&Hawkes,C.V.(2013).Dierencesinfungaland
bacterialphysiologyaltersoilcarbonandnitrogencycling:Insightsfrom
meta-analysisandtheorecalmodels.Ecology Leers,16,887–894.
Woodcock,S., Curs, T.P., Head,I. M., Lunn, M., & Sloan, W.T. (2006).
Taxa-arearelaonships formicrobes:Theunsampledand theunseen.
Ecology Leers,9,805–812.
Yuste,J.C.,Peñuelas,J.,Esarte,M.,Garcia-Mas,J.,Maana,S.,Ogaya,R.,
…Sardans,J.(2011).Drought-resistantfungicontrolsoilorganicmaer
decomposionanditsresponsetotemperature.Global Change Biology,
17,1475–1486.
Zak,D.R.,Pregitzer,K.S.,Burton,A.J.,Edwards,I.P.,&Kellner,H.(2011).
Microbial responses to a changing environment: Implicaons for
the future funconing of terrestrial ecosystems. Fungal Ecology, 4,
386–395.
SUPPORTING INFORMATION
AddionalSupporngInformaonmaybefoundonlineinthesupport-
inginformaontabforthisarcle.
How to cite this arcle:SayerEJ,OliverAE,FridleyJD,
AskewAP,MillsRTE,GrimeJP.Linksbetweensoilmicrobial
communiesandplanttraitsinaspecies-richgrasslandunder
long-termclimatechange.Ecol Evol. 2017;7:855–862.
doi:10.1002/ece3.2700.

Supplementary resource (1)

Data
January 2017
... For example, when comparing observational modes and those found in climate models in hindcast experiments, if there is a scientifically accepted set of modes or patterns of variability from instrumental or analysis data that is thought to be representative of the actual climate system, such as the North Atlantic Oscillation, The Pacific North American pattern, etc., such modes can serve as a set of target patterns to probe for the most similar patterns (and discrepancies) in GCMs to evaluate the ability of GCMs to reproduce such known modes. Because of this capability, PTA can be used as a technique to search for fingerprints in eigenmodes (Sayer et al. 2017). In the present research, by examining the model-based PC loadings of precipitation for their fit to the target of observed PC loadings, space and time statistics of the shared variability are documented. ...
Article
Full-text available
This study introduces the use of Procrustes target analysis for comparing observed and modeled precipitation patterns obtained from a rotated S-mode principal component analysis. Procrustes target analysis is a manifold alignment method for principal component analysis, requiring that a set of reference principal components are specifed, a priori, as the target that the principal components from a second data set are linearly transformed to best ft. The target patterns are selected as they are hypothesized to be more physically realistic, accurate, or reliable, compared to those in the second data set (e.g., using observed or reanalysis data for the target data set and climate model data for the second data set). Using the rotated principal component analysis, we classify the austral summer precipitation in Africa south of the equator into four regions of the domain: the south, east-central, northeast, and northwest. The physical basis for each region is established by examining regional variations in vertical velocity coupled with variations in the patterns of advective moisture fuxes, converging at specifc portions in the study region. On this basis, the observed precipitation regions are deemed physically interpretable and serve as the reference patterns to probe the degree of reference pattern consistency with (i) the precipitation patterns from ERA5 and NCEP-NCAR reanalysis, (ii) the precipitation patterns from 2 high-resolution regional climate models driven by ERA-Interim, and by HadGEM2 and (iii) the impact of future climate change on the simulated patterns from the regional climate models. Comparing principal components from diferent datasets is not straightforward as there are two sources of variability: (i) that arising from non-optimal alignment (misalignment) of the two linear subspaces or manifolds (a manifold is regarded as a vector space) and (ii) that arising from true diferences in the modes from the diferent datasets. The importance of applying Procrustes target analysis is that climate patterns derived from principal component analysis are known to be sensitive to sampling variability. Procrustes target analysis allows for maximal vector alignment, making it possible to disentangle the two sources of variability so that the analyst can assign the dissimilarities to diferences in the modes. We document that, after the application of Procrustes target analysis matching, the variability arising from misalignment between the reference set and second set of principal components was reduced, as measured by the improved matching between the vectors from approximately 3.7–41.7% for the various datasets tested. Specifcally, for the principal components obtained from reanalysis data, after the removal of the misalignment source of variability, about 3.8–4.9% improvements in the pattern matches were obtained and allowing for the conclusion that the ERA5 outperforms NCEP in capturing the observed austral summer precipitation patterns in the study region. Application of Procrustes target analysis to regional climate models shows that they can replicate a portion of the observed precipitation patterns with spatial mismatches relative to the patterns from observational data with an improvement in the matches from about 6.7–38.6%. The spatial mismatches are dependent on the pattern considered, the specifc regional climate models and the data driving the regional climate model. Further, for an anthropogenic climate change scenario, Representative Concentration Pathway 8.5, the simulated future patterns were comparable with the observed patterns. However, relative to the simulated historical patterns, there are spatial shifts in the analyzed future precipitation patterns in regional climate models.
... The impact of secondary successional areas on microbial communities under thinning also includes vegetation-related factors such as diversity, coverage, and biomass that may be altered . Communities of soil bacteria and fungi change following plant traits, such as productivity (Sayer et al., 2017), due to close interactions between microorganisms and plants in the rhizosphere (Huang et al., 2014;Grime and Pierce, 2012). Previously it was shown that the establishment of secondary succession promoted soil microbial diversity by increasing the diversity of microhabitats and providing diverse plant hosts for symbiotic and pathogenic microorganisms (Yang et al., 2020). ...
Article
The gap formation due to forest thinning regulates the understorey microclimate, ground vegetation, and soil biodiversity. However, little is known about abundant and rare taxa's various patterns and assemblage mechanisms under thinning gaps. Thinning gaps with increasing sizes (0, 74, 109, and 196 m2) were established 12 years ago in a 36-year-old spruce plantation in a temperate mountain climate. Soil fungal and bacterial communities were analyzed by MiSeq sequencing and related to soil physicochemical properties and aboveground vegetation. The functional microbial taxa were sorted by FAPROTAX and Fungi Functional Guild database. The bacterial community stabilized under varied thinning intensities and was not different from the control plots, whereas the richness of the rare fungal taxa was at least 1.5-fold higher in the large gaps than in the small ones. Total phosphorus and dissolved organic carbon were the main factors influencing microbial communities in soil under various thinning gaps. The diversity and richness of the entire fungal community and rare fungal taxa increased with the understorey vegetation coverage and shrub biomass after thinning. Gap formation by thinning stimulated the understorey vegetation, the rare saprotroph (Undefined Saprotroph), and mycorrhizal fungi (Ectomycorrhizal-Endophyte-Ericoid Mycorrhizal-Litter Saprotroph-Orchid Mycorrhizal and Bryophyte Parasite-Lichen Parasite-Ectomycorrhizal-Ericoid Mycorrhizal-Undefined Saprotroph), which may accelerate nutrient cycling in forest ecosystems. However, the abundance of Endophyte-Plant Pathogens increased by eight times, which showed the potential risk for the artificial spruce forests. Thus, fungi may be the driving force of forest restoration and nutrient cycling under the increasing intensity of thinning and may induce plant diseases. Therefore, vegetation coverage and microbial functional diversity should be considered to evaluate the sustainability of the artificial forest ecosystem and forest restoration.
... Linkages of vegetation and soil microbes largely determine ecosystem responses to climate change (Classen et al. 2015, Sayer et al. 2017) as well as the effects of ecosystem processes on climate (Jansson and Hofmockel 2020). Despite the obvious importance of these linkages, they are still poorly understood (Arraiano-Castilho et al. 2021). ...
Article
Alpine tundra ecosystems suffer from ongoing warming-induced tree encroachment and vegetation shifts. While the effects of tree line expansion on the alpine ecosystem receive a lot of attention, there is also an urgent need for understanding the effect of climate change on shifts within alpine vegetation itself, and how these shifts will consequently affect soil microorganisms and related ecosystem characteristics such as carbon storage. For this purpose, we explored relationships between climate, soil chemistry, vegetation, and fungal communities across seven mountain ranges at 16 alpine tundra locations in Europe. Among environmental factors, our data highlighted that plant community composition had the most important influence on variation in fungal community composition when considered in combination with other factors, while climatic factors had the most important influence solely. According to our results, we suggest that rising temperature, associated with a replacement of ericoid-dominated alpine vegetation by non-mycorrhizal or arbuscular mycorrhizal herbs and grasses, will induce profound changes in fungal communities towards higher dominance of saprotrophic and arbuscular mycorrhizal fungi at the expense of fungal root endophytes. Consequently, topsoil fungal biomass and carbon content will decrease.
... The rhizosphere encompasses the millimeters of soil surrounding a plant root that is home to an overwhelming number of microorganisms (Berendsen et al., 2012;Philippot et al., 2013). Recent studies have revealed that different species of plants, or even different plant traits of the same species, assemble different rhizosphere microbial communities in the same soil environment (Arafat et al., 2017;Sayer et al., 2017;Bickford et al., 2020). These complex plant-associated microbial communities are crucial for plants because they can affect plant growth, productivity, nutrients and immunity directly or indirectly (Van Wees et al., 2004;Egamberdieva et al., 2010;Erturk et al., 2010;Berendsen et al., 2012;Patel, 2018;Tahir et al., 2019;Gu et al., 2020;Song Q. et al., 2021), as well as affect host phenotypes and adaptability (Herrera Paredes et al., 2018). ...
Article
Full-text available
Background: Pinus yunnanensis is a major silvicultural species in Southwest China. Currently, large areas of twisted-trunk Pinus yunnanensis stands severely restrict its productivity. Different categories of rhizosphere microbes evolve alongside plants and environments and play an important role in the growth and ecological fitness of their host plant. However, the diversity and structure of the rhizosphere microbial communities between P. yunnanensis with two different trunk types-straight and twisted-remain unclear. Methods: We collected the rhizosphere soil of 5 trees with the straight and 5 trees with the twisted trunk type in each of three sites in Yunnan province. We assessed and compared the diversity and structure of the rhizosphere microbial communities between P. yunnanensis with two different trunk types by Illumina sequencing of 16S rRNA genes and internal transcribed spacer (ITS) regions. Results: The available phosphorus in soil differed significantly between P. yunnanensis with straight and twisted trunks. Available potassium had a significant effect on fungi. Chloroflexi dominated the rhizosphere soils of the straight trunk type, while Proteobacteria was predominant in the rhizosphere soils of the twisted trunk type. Trunk types significantly explained 6.79% of the variance in bacterial communities. Conclusion: This study revealed the composition and diversity of bacterial and fungal groups in the rhizosphere soil of P. yunnanensis with straight and twisted trunk types, providing proper microbial information for different plant phenotypes.
... The ability of soil microbes to utilize carbon influences the response of soil carbon to climate change [41]. When microorganisms are exposed to new environmental extremes, the abundance and function of microbial communities are affected; hence, environmental change or global warming/climatic perturbation has an impact on microbial ecology, ecosystem structure, and function [42]. ...
Article
Full-text available
The impact of climate change on biodiversity has been the subject of numerous research in recent years. The multiple elements of climate change are expected to affect all levels of biodiversity, including microorganisms. The common worldwide fungus Fusarium oxysporum colonizes plant roots as well as soil and several other substrates. It causes predominant vascular wilt disease in different strategic crops such as banana, tomato, palm, and even cotton, thereby leading to severe losses. So, a robust maximum entropy algorithm was implemented in the well-known modeling program Maxent to forecast the current and future global distribution of F. oxysporum under two representative concentration pathways (RCPs 2.6 and 8.5) for 2050 and 2070. The Maxent model was calibrated using 1885 occurrence points. The resulting models were fit with AUC and TSS values equal to 0.9 (±0.001) and 0.7, respectively. Increasing temperatures due to global warming caused differences in habitat suitability between the current and future distributions of F. oxysporum, especially in Europe. The most effective parameter of this fungus distribution was the annual mean temperature (Bio 1); the two-dimensional niche analysis indicated that the fungus has a wide precipitation range because it can live in both dry and rainy habitats as well as a range of temperatures in which it can live to certain limits. The predicted shifts should act as an alarm sign for decision makers, particularly in countries that depend on such staple crops harmed by the fungus.
... a. differing temperature sensitivities of decomposition of non-labile and labile C (Kirschbaum, 2006;Liski et al., 1999;Moinet et al., 2018); b. differences in litter quality between sites (Bontti et al., 2009;Murphy et al., 1998); c. use of different environments without adequate correction, hosting different decomposition rates (Djukic et al., 2018;Sundqvist et al., 2011), even of a standard litter type, such as tea bags (Elumeeva et al., 2018;Petraglia et al., 2019); d. differences in the underlying microbial communities, which influence decomposition rates (Ayres et al., 2009;Lu et al., 2017;Sayer et al., 2017); e. disturbance to the plant community, as often occurs in manipulative climate change experiments (e.g. Dale et al., 2015;Graham et al., 2014), with legacy effects lasting many years (Grime et al., 2008); ...
Article
Decomposition rates are an important component of carbon sequestration rates in soils, potentially mitigating future climate change. Here we aim to better understand decomposition's relationship with temperature in natural conditions. In snow‐tussock grassland dominated by Chionochloa rubra on Mount Tongariro, Tongariro National Park, New Zealand, we measured decomposition of Chionochloa leaf litter along an ≈ 700 m altitudinal gradient, as a space‐for‐temperature experiment, representing 4.2 °C of warming. We examined decomposition rates in a full reciprocal translocation of litter bags between 8 plots as both the origin of 8 litter types and the 8 destinations of plating out of litter bags, over 4 years using 6 replicates, and modelling their relationships to environmental variates. Litter decomposed progressively over time, but at the same rate along the altitudinal gradient. There was no home‐field advantage. In terms of litter quality, decomposition rates were related only to litter lignin, or fibre or litter N. Only decomposition at Year 4, and that only when organised by litter destination, showed a relationship to mean annual temperature jointly with soil C, and this was only weak and implausible. When studied across the full reciprocal transplant, there were no significant interactions between Origin and Destination data with or without Years. Therefore litter from each plot decomposed at the same rate as other plots’ litter at all altitudes, allowing for small, often irregular differences in litter quality and micro‐environment. Despite the few modelled differences, decomposition rates show no plausible trends in our altitude‐for‐temperature substitution. We suggest this may be a universal finding, except perhaps under different moisture regimes. Thus, under projected climate warming scenarios, changes in temperature will not directly affect decomposition rates, and cannot influence C sequestration in nature.
Article
Full-text available
Background and aims Interactions between species invasions and climate change have the potential to drive changes in plant communities more than either factor alone. One pathway through which these effects can occur is via changes to the rhizosphere microbial community. Invasive plants can alter these microbial communities affecting natives’ abilities to compete with invaders. At the same time, climate change is leading to more frequent extreme wet and dry events. Understanding the response of plant communities to these combined global change drivers requires a comprehensive approach that assesses the relationship between plant competition and belowground rhizosphere microbial community responses. Methods Here we use a field experiment in a California grassland with a set of six native annual forbs (i.e., wildflowers) and three invasive annual grasses to test how competition with invasive plants alters both identity and function in the native rhizosphere microbiome, and whether competition between these groups interacts with rainfall to amplify or ameliorate microbial shifts. Results Metagenomics of rhizosphere communities revealed that drought combined with competition from invaders altered a higher number of functions and families in the native rhizosphere compared to invasive competition alone or drought alone. Watering combined with invasion led to fewer shifts. Conclusion This suggests invasion-driven shifts in the microbial community may be involved in weakening natives’ ability to cope with climate change, especially drought. Understanding the role of the microbial community under invasion and climate change may be critical to mitigating the negative effects of these interacting global change drivers on native communities. Graphical abstract Understanding plant community response to global change drivers requires a comprehensive approach that assesses the relationship between plant competition and belowground rhizosphere microbial community responses. (a) In this work, we use a field experiment in a California grassland with a set of native forbs (purple) and invasive grasses (teal) to assess the combined effects of competition and water availability (drought, control, watered) on the rhizosphere microbiome. (b) Drought combined with competition from invaders altered the relative abundance of 36 functions (white) and 22 microbial families (blue) in the native rhizosphere compared to the effects of competition (3 functions, 16 families) or drought alone on natives (not shown: 5 functions, 0 families). (c) Additionally, regardless of watering treatment, invasive grasses sourced more of the taxonomic community in native-invasive mixes and this was exacerbated during drought. Overall, these results suggest invasion-driven shifts in the microbiome may be involved in weakening natives’ ability to cope with climate change, especially drought.
Article
Grasslands across arid and semi‐arid regions are predicted to experience reductions in precipitation frequency. Besides, grassland degradation has become a serious problem in many of these areas. Despite increasing evidence suggesting compound effects of these synchronous alterations on biotic and abiotic ecosystem constituents, we still do not know how they will impact the coupling among ecosystem constituents and its consequences on ecosystem functioning. Here, we assessed the effects of decreased precipitation frequency and grassland degradation on ecosystem coupling, quantified based on the mean strength of pairwise correlations among multispecies communities and their physicochemical environment, individual functions and ecosystem multifunctionality, and reported their relationships within a mechanistic plant–nematode–micro‐organism–soil interactions framework. Decreased precipitation frequency led to poorly coupled ecosystems, and reduced aboveground plant biomass, soil water content, soil nutrient levels, soil biota abundance and multifunctionality. By contrast, belowground plant biomass and soil potential enzyme activities increased under decreased precipitation frequency treatment. Severe degradation resulted in decoupled ecosystems and suppressed most of individual functions and multifunctionality. Using structural equation modelling, we showed that coupling had a strong direct positive effect on multifunctionality (standardized total effect: 0.74), while multifunctionality was weakened by greater soil water variation (−0.54) and higher soil pH (−0.53). The great sensitivity of ecosystem coupling to altered precipitation regimes and degradation highlights the importance of considering interactions among biotic and abiotic components when predicting early ecological impacts under changing environments. Moreover, the positive relationship between ecosystem coupling and functioning suggests that restoration of degraded grasslands may be achieved by intensifying ecological interactions. Read the free Plain Language Summary for this article on the Journal blog.
Article
Full-text available
The soil microbiome is crucial for regulating biogeochemical processes and can thus strongly influence tree health, especially under stress conditions. However, little is known about the effect of prolonged water deficit on soil microbial communities during the development of saplings. We assessed the response of prokaryotic and fungal communities to different levels of experimental water limitation in mesocosms with Scots pine saplings. We combined analyses of physicochemical soil properties and tree growth with DNA metabarcoding of soil microbial communities throughout four seasons. Seasonal changes in soil temperature and soil water content and a decreasing soil pH strongly influenced the composition of microbial communities but not their total abundance. Contrasting levels of soil water contents gradually altered the soil microbial community structure over the four seasons. Results indicated that prokaryotic communities were less resistant to water limitation than fungal communities. Water limitation promoted the proliferation of desiccation-tolerant, oligotrophic taxa. Moreover, water limitation and an associated increase in soil C/N ratio induced a shift in the potential lifestyle of taxa from symbiotic to saprotrophic. Overall, water limitation appeared to alter soil microbial communities involved in nutrient cycling, pointing to potential consequences for forest health affected by prolonged episodes of drought.
Article
Full-text available
Edge effects resulting from adjacent land uses are poorly understood in agroecosystems yet understanding above and belowground edge effects is crucial for maintaining ecosystem function. The aim of our study was to examine impacts of land management on aboveground and belowground edge effects, measured by changes in plant community, soil properties, and soil microbial communities across agroecosystem edges. We measured plant composition and biomass, soil properties (total carbon, total nitrogen, pH, nitrate, and ammonium), and soil fungal and bacterial community composition across perennial grassland-annual cropland edges. Edge effects due to land management were detected both aboveground and belowground. The plant community at the edge was distinct from the adjacent land uses, where annual, non-native, plant species were abundant. Soil total nitrogen and carbon significantly decreased across the edge (P < 0.001), with the highest values in the perennial grasslands. Both bacterial and fungal communities were different across the edge with clear changes in fungal communities driven directly and indirectly by land management. A higher abundance of pathogens in the more heavily managed land uses (i.e. crop and edge) was detected. Changes in plant community composition, along with soil carbon and nitrogen also influenced the soil fungal community across these agroecosystems edges. Characterizing edge effects in agroecosystem, especially those associated with soil microbial communities, is an important first step in ensuring soil health and resilience in these managed landscapes.
Article
Full-text available
The continuum hypothesis states that both deterministic and stochastic processes contribute to the assembly of ecological communities. However, the contextual dependency of these processes remains an open question that imposes strong limitations on predictions of community responses to environmental change. Here we measure community and habitat turnover across multiple vertical soil horizons at 183 sites across Scotland for bacteria and fungi, both dominant and functionally vital components of all soils but which differ substantially in their growth habit and dispersal capability. We find that habitat turnover is the primary driver of bacterial community turnover in general, although its importance decreases with increasing isolation and disturbance. Fungal communities, however, exhibit a highly stochastic assembly process, both neutral and non-neutral in nature, largely independent of disturbance. These findings suggest that increased focus on dispersal limitation and biotic interactions are necessary to manage and conserve the key ecosystem services provided by these assemblages.
Chapter
Full-text available
Biodiversity has become a major theme in ecological research and environmental policy (Schulze and Mooney 1993). This concern has arisen because people value diversity both for its own sake and because diversity may control important ecosystem services (food, fiber, animal production, tourism). While the first rationale for concern over biodiversity should apply to microbes, they lack charisma. I therefore doubt that arguments about microbial biodiversity for its own sake will carry much weight for most people, and our concerns with the issue will rest primarily on the implications of their diversity for ecosystem function. While several papers have discussed the effect of functional diversity on ecosystem processes (Meyer 1993; Beare et al. 1994), they basically conclude that microbes carry out many processes that are important to ecosystem function and that their interactions are complex. Formulating meaningful conclusions about the importance of diversity within functional groups, however, has been difficult.
Article
Despite advances in plant functional ecology that provide a framework for predicting the responses of vegetation to environmental change, links between plant functional strategies and elevated temperatures are poorly understood. Here, we analyse the response of a species-rich grassland in northern England to two decades of temperature and rainfall manipulations in the context of the functional attributes of 21 coexisting species that represent a large array of resource-use strategies. Three principal traits, including body size (canopy height), tissue investment (leaf construction cost), and seed size, varied independently across species and reflect tradeoffs associated with competitiveness, stress tolerance, and colonization ability. Unlike past studies, our results reveal a strong association between functional traits and temperature regime; species favoured by extended growing seasons have taller canopies and faster assimilation rates, which has come at the expense of those species of high tissue investment. This trait-warming association was three times higher in deep soils, suggesting species shifts have been strongly mediated by competition. In contrast, vegetation shifts from rainfall manipulations have been associated only with tissue investment. Functional shifts towards faster growing species in response to warming may be responsible for a marginal increase in productivity in a system that was assumed to be nutrient-limited.
Article
Soil microbial communities are so vastly diverse that complex interactions, which alter ecosystem functions, may occur among microbial species and functional groups. In this review, we explore the empirical evidence for situations when shifts in the community structure of microbes would elicit a change in ecosystem process rates, specifically decomposition, even when microbial biomass remains constant. In particular, we are interested in a subset of these scenarios in which knowledge of microbial community structure would improve model predictions for ecosystem functions. Results from microcosm and field studies indicate that microbial species diversity, functional group diversity, and community composition can all influence ecosystem process rates. The underlying mechanisms that may elicit changes in ecosystem functions from shifts in microbial community structure include evolutionary constraints on microbial trait adaptation, trait correlations, dispersal limitation, and species interactions. The extent of microbial diversity in soils is not known, so it is presently not possible to model all scenarios of microbial community structure shifts. However, by incorporating documented patterns in functional groups that are relevant for a particular ecosystem process and potential relationships between microbial phylogeny and function, the predictive power of process models will be significantly improved. The inclusion of this information into process models is critical for predicting and understanding how ecosystem functions may shift in response to global change.
Article
Biogeochemistry-winner of a 2014 Textbook Excellence Award (Texty) from the Text and Academic Authors Association-considers how the basic chemical conditions of the Earth, from atmosphere to soil to seawater, have been and are being affected by the existence of life. Human activities in particular, from the rapid consumption of resources to the destruction of the rainforests and the expansion of smog-covered cities, are leading to rapid changes in the basic chemistry of the Earth. This expansive text pulls together the numerous fields of study encompassed by biogeochemistry to analyze the increasing demands of the growing human population on limited resources and the resulting changes in the planet's chemical makeup. The book helps students extrapolate small-scale examples to the global level, and also discusses the instrumentation being used by NASA and its role in studies of global change. With extensive cross-referencing of chapters, figures and tables, and an interdisciplinary coverage of the topic at hand, this updated edition provides an excellent framework for courses examining global change and environmental chemistry, and is also a useful self-study guide.