scieee Science in your language
[en] (orig)

Natural quantitative genetic variance in plant growth differs in response to ecologically relevant temperature heterogeneity

Read accessible full text

Natural quantitative genetic variance in plant growth differs in response to ecologically relevant temperature heterogeneity

Author: Salmela, Matti J.,Ewers, B. E.,Weinig, C.
Publisher: John Wiley & Sons,Chichester,gb
Year: 2016
Source: https://jukuri.luke.fi/bitstream/10024/538011/1/Salmela.pdf
www.ecole ol.o g Ecology and E olu ion 2016; 6: 7574–75857574
|
© 2016 The Au ho s. Ecology and E olu ion
published by John Wiley & Sons L d.
Recei ed: 27 Ap il 2016
|
Re ised: 22 July 2016
|
Accep ed: 28 Augus 2016
DOI: 10.1002/ece3.2482
Abs ac
Adap a ion o la ge- scale spa ial he e ogenei y in he en i onmen accoun s o a
majo p opo ion o gene ic di e si y wi hin species. Theo y p edic s he e osion o
adap i e gene ic a ia ion on a wi hin- popula ion le el, bu conside able gene ic di-
e si y is o en ound locally. Gene ic di e si y could be expec ed o be main ained
wi hin popula ions in empo ally o spa ially a iable condi ions i geno ypic ank o -
de s a y ac oss con as ing mic oen i onmen al se ings. Taking ad an age o ine-
esolu ion en i onmen al da a, we es ed he hypo hesis ha empe a u e
he e ogenei y among yea s could be one ac o main aining quan i a i e gene ic di-
e si y wi hin a na u al and gene ically di e se plan popula ion. We sampled ma e nal
amilies o Boeche a s ic a, an A abidopsis haliana ela i e, a one loca ion in he cen-
al Rocky Moun ains and g ew hem in h ee ea men s ha , based on eco ds om
an adjacen wea he s a ion, simula ed hou ly empe a u e changes a he na i e si e
du ing h ee summe s wi h di e ing mean empe a u es. T ea men had a signi ican
e ec on all ai s, wi h 2–3- old inc ease in abo e- and belowg ound biomass and he
highes alloca ion o oo s obse ed in he ea men simula ing he wa mes summe
on eco d a he si e. T ea men a ec ed bi a ia e associa ions be ween ai s, wi h
he weakes co ela ion be ween abo e- and belowg ound biomass in he wa mes
ea men . The magni ude o quan i a i e gene ic a ia ion o all ai s di e ed ac oss
ea men s: Gene ic a iance o biomass was 0 in he wa mes ea men , while highly
signi ican di e si y was ound in a e age condi ions, esul ing in b oad- sense he i a-
bili y o 0.31. Signi ican geno ype × en i onmen in e ac ions ac oss all ea men s
we e ound only in oo - o- shoo a io. The e o e, empe a u e a ia ion among sum-
me s appea s unlikely o accoun o he obse ed le els o local gene ic a ia ion in
size in his pe ennial species, bu may in luence amily ank o de in g ow h alloca ion.
Ou esul s indica e ha na u al en i onmen al luc ua ions can ha e a la ge impac on
he magni ude o wi hin- popula ion quan i a i e gene ic a iance.
KEYWORDS
en i onmen al he e ogenei y, geno ype × en i onmen in e ac ion, main enance o gene ic
di e si y, empe a u e, empo al he e ogenei y
1Depa men o Bo any, Uni e si y o
Wyoming, La amie, WY, USA
2P og am in Ecology, Uni e si y o
Wyoming, La amie, WY, USA
3Depa men o Molecula
Biology, Uni e si y o Wyoming, La amie,
WY, USA
Co espondence
Ma i J. Salmela, Depa men o Bo any,
Uni e si y o Wyoming, La amie, Wyoming,
USA.
Email: [email p o ec ed]om
Funding in o ma ion
Na ional Science Founda ion, G an /Awa d
Numbe : IOS-1025965
Cu en add ess
Ma i J. Salmela, Na u al Resou ces Ins i u e
Finland, Van aa, Finland
ORIGINAL RESEARCH
Na u al quan i a i e gene ic a iance in plan g ow h di e s in
esponse o ecologically ele an empe a u e he e ogenei y
Ma i J. Salmela1 | B en E. Ewe s1,2 | Cyn hia Weinig1,2,3
This is an open access a icle unde he e ms o he C ea i e Commons A ibu ion License, which pe mi s use, dis ibu ion and ep oduc ion in any medium,
p o ided he o iginal wo k is p ope ly ci ed.
|
7575
Salmela e al.
1 | INTRODUCTION
In he wild, na i e popula ions o en exhibi a i ness ad an age in hei
home en i onmen s. This phenomenon, local adap a ion, is equen ly
documen ed among popula ions ound ac oss he e ogeneous en i on-
men s and is known o main ain gene ic di e si y in i ness and many
o he quan i a i e ai s among popula ions (He e o d, 2009; Leimu &
Fische , 2008). On a mo e local wi hin- popula ion le el, howe e , na -
u al selec ion is expec ed o educe gene ic a ia ion as nonop imal
pheno ypes a e emo ed om popula ions (Kawecki & Ebe , 2004). In
con as o hese p edic ions, subs an ial quan i a i e gene ic a ia ion
is equen ly ound wi hin popula ions, e en in ai s closely ela ed
o i ness ha a e assumed o expe ience s ong selec ion (Ba on &
Keigh ley, 2002; Hill, 2010; Houle, 1992; Johnson & Ba on, 2005).
Fo example, lowe ing ime exhibi s gene ic di e si y no jus among
bu also wi hin popula ions in he mainly sel - e ilizing model species
A abidopsis haliana (L.) Heynh. in Fennoscandia and Spain (Kui inen,
Ma ila, & Sa olainen, 1997; Méndez- Vigo, Gomaa, Alonso- Blanco,
& Pico, 2013; S enøien, Fens e , Ton e i, & Sa olainen, 2005), while
a ia ion in iming o g ow h is o en dis ibu ed in a simila ashion in
highly ou c ossing o es ees (Albe o e al., 2011; Mimu a & Ai ken,
2007; Sa olainen, Bokma, Ga cía- Gil, Komulainen, & Repo, 2004).
In spi e o ex ensi e heo e ical wo k on he po en ial o di e -
en e olu iona y and ecological o ces o main ain gene ic a ia ion
wi hin popula ions, he causes o such local di e si y emain o he
mos pa poo ly unde s ood (Johnson & Ba on, 2005). Mu a ion-
selec ion balance on i s own is conside ed unlikely o accoun o he
obse ed high le els o gene ic di e si y, while a ious o ms o bal-
ancing selec ion ha e been hypo hesized o play a causal ole (Ba on
& Keigh ley, 2002; Cha leswo h, 2015; Hill, 2010; Johnson & Ba on,
2005). Fu he , gene low among gene ically dis inc popula ions om
di e gen en i onmen s may be a sou ce o a ia ion wi hin popula-
ions (Ba on, 1999). Because a popula ion’s e olu iona y po en ial
in a changing en i onmen is de e mined la gely by he magni ude
o he i able gene ic di e si y in adap i e ai s (Falcone & Mackay,
1996), he main enance o gene ic a ia ion is ele an no only o
basic esea ch on e olu iona y p ocesses bu also o applied con-
se a ion biology and a e species’ managemen (Ho mann & Sg ò,
2011). Indeed, empi ical e idence ha a leas some popula ions in
he wild ha e been able o adap o en i onmen al changes indica es
ha adap i e gene ic di e si y exis ed in p e ious gene a ions (F anks,
Webe , & Ai ken, 2014; Me ilä & Hend y, 2014; see also Gee s e al.,
2015; I win, Finkel, Mülle - Ka ge , & Ghinaglia, 2015).
In addi ion o la ge- scale spa ial a ia ion in he en i onmen ha
o en leads o gene ically di e en ia ed popula ions, en i onmen al con-
di ions may also a y a much ine spa ial and empo al scales (Linha &
G an , 1996). Consequen ly, a popula ion may encoun e a iable con-
di ions a i s home si e, which could selec o he po en ial o exp ess
a wide ange o pheno ypes ac oss dis inc mic oen i onmen s. Such
pheno ypic a ia ion could be achie ed o ins ance by gene ic di e si y
such ha di e en geno ypes ha e he highes i ness in di e ing local
en i onmen al se ings, ha is, by geno ype × en i onmen in e ac ions
(Ellne & Hai s on, 1994; Gillespie & Tu elli, 1989; Hed ick, 1995), o ia
pheno ypic plas ici y o a gene alis geno ype (Kawecki & Ebe , 2004).
Empi ical ield s udies ha e shown ha pe o mance anks o geno ypes
may change as a esul o a ia ion in in e - and in aspeci ic compe i ion
(Ba on, Richi , Villou eix, Amsellem, & Roux, 2015; Shaw, Pla enkamp,
Shaw, & Podolsky, 1995) o dis u bance (McLeod, Scasci elli, & Vellend,
2012); geno ype × en i onmen in e ac ions in i ness ha e e en been
desc ibed on a scale o jus 10 cm wi hin a single old ield (S a on,
1994). In Be ula pendula Ro h in Finland, howe e , o es g ound he -
e ogenei y on a local le el a ec ed o e all g ow h bu was no su icien
o shi geno ypic anks (Mikola e al., 2014). Gene ic mapping s udies
on ecombinan inb ed lines and expe imen al hyb ids o model sys-
ems such as A abidopsis, Boeche a, D osophila, and Mimulus in he ield
and unde con olled expe imen al condi ions ha e p o ided insigh s
in o he gene ic basis o geno ype × en i onmen in e ac ions ac oss
highly di e gen en i onmen al condi ions. These s udies commonly
show en i onmen - speci ic QTL e ec s o nume ous quan i a i e ai s
om mo phology o ep oduc i e i ness ( e iewed in Mackay, 2009;
Sa olainen, Lascoux, & Me ilä, 2013; Weinig, Ewe s, & Welch, 2014).
Gene ically a iable popula ions o p edominan ly sel - e ilizing
plan species like he mus a d Boeche a s ic a (G aham) Al- Shehbaz
(Song, Clauss, Peppe , & Mi chell- Olds, 2006) a e sui able s udy sys-
ems o explo ing he main enance o local gene ic di e si y in a y-
ing en i onmen s because long- dis ance gene low may be easonably
excluded as he sou ce o high le els o wi hin- popula ion adap i e
gene ic di e si y (c . Yeaman & Ja is, 2006). P e iously, Salmela e al.
(2016) obse ed conside able quan i a i e gene ic di e si y in he
ci cadian clock, he endogenous imekeepe egula ing daily oscilla-
ions in nume ous ai s, and a ious g ow h ai s among ma e nal
amilies o B. s ic a sampled a a high- ele a ion si e in he cen al
Rocky Moun ains in he USA. In his popula ion, he ange o amily
means in ci cadian pe iod, one cha ac e is ic o he ci cadian clock, ac-
coun ed o o e 50% o he ange ha has p e iously been epo ed
in a global se o 150 A. haliana geno ypes by Michael e al. (2003).
Quan i a i e a ia ion in he clock was associa ed wi h g ow h so
ha amilies wi h longe ci cadian pe iods g ew mo e apidly and o
a la ge size, bu had a lowe oo - o- shoo a io. Because he ci ca-
dian clock and i s a iabili y a e gene ally hough o e lec adap a ion
o a iable ligh –da k cycles (e.g., Michael e al., 2003), Salmela e al.
(2016) hypo hesized ha local gene ic di e si y in he clock could be
main ained by pe o mance ade- o s o amilies ac oss seasonal en-
i onmen s wi h di e ing pho ope iods and empe a u es. Ye , g ow h
chambe en i onmen s simula ing di e en mon hs wi hin a g owing
season esul ed in geno ype × en i onmen in e ac ions ha we e
la ge han he o e all gene ic e ec only o oo - o- shoo alloca ion.
Highe oo - o- shoo a io may enhance su i al in s ess ul and low-
esou ce en i onmen s (Poo e e al., 2012; Wilson, 1988), an adap-
i e hypo hesis also sugges ed by he la ge oo - o- shoo a ios ound
in popula ions om highe - ele a ion en i onmen s in his egion. S ill,
he exac ac o s enabling he main enance o signi ican ine- scale
gene ic di e si y in his popula ion emain unknown.
Fluc ua ing selec ion d i en by empo al a ia ion in en i onmen-
al ac o s has been p oposed o be common in he wild (Siepielski,
7576
|
Salmela e al.
DiBa is a, & Ca lson, 2009). Tempo ally a iable en i onmen al con-
di ions ha e also been hypo hesized o shape he pa e ns o adap i e
gene ic di e si y wi hin popula ions (Salmela, 2014), bu in gene al,
heo e ical s udies sugges ha condi ions unde which empo al
a ia ion in he en i onmen can main ain gene ic di e si y a e mo e
es ic i e han hose o spa ial he e ogenei y (Hed ick, 2006). Some
e idence suppo s he ole o empo al en i onmen al he e ogenei y
in main aining gene ic a ia ion wi hin popula ions: Di e en g ow h
seasons wi hin a yea ha e been epo ed o a o di e gen geno-
ypes in Ta axacum o icinale (L.) Webe ex F.H. Wigg (Va ek, McG aw,
& Yang, 1996), while annually a ying mois u e condi ions in a des-
e may conse e lowe colo polymo phism in he annual Linan hus
pa yae (A.G ay) G eene (Schemske & Bie zychudek, 2001). In he ish
Xiphopho us a ia us, he le el o empe a u e a iabili y wi hin days
and yea s has been ound o be posi i ely associa ed wi h wi hin-
popula ion di e si y in ail spo ichness (Culumbe & Toble , 2016),
wi h he i ness ank o di e en spo ypes depending o ins ance on
he he mal en i onmen (Culumbe , Schume , Monks, & Toble , 2015).
In his s udy, we we e in e es ed in u he explo ing he capaci y
o empo al abio ic a iabili y o sus ain local quan i a i e gene ic a i-
a ion in he wild using he a o emen ioned B. s ic a popula ion om
he cen al Rocky Moun ains as ou s udy sys em. Two ea u es in
pa icula make his popula ion an in e es ing model o assessing he
possible en i onmen al causes o local gene ic di e si y: I has al eady
been shown o be gene ically di e se in mul iple quan i a i e ai s
(Salmela e al., 2016), and i s home si e is loca ed close o a wea he
s a ion wi h long- e m and ine- esolu ion empe a u e eco ds. The
popula ion expe iences o ins ance a iable summe empe a u e
condi ions; be ween 1995 and 2014, mean June and July empe a-
u es a he si e a ied be ween 8.3–15°C and 13–17.2°C, espec-
i ely. Hou ly eco ded empe a u e da a om mul iple yea s allowed
us o in es iga e he e ec s o he e ogenei y in a single abio ic ac o ,
p o iding he unique oppo uni y o simula e empo ally luc ua ing
and ecologically ele an na u al en i onmen s in con olled expe i-
men al se ings. We g ew eplica es o he same se o na u ally oc-
cu ing ma e nal amilies ac oss ea men s wi h di e ing a e age
empe a u es, hypo hesizing ha i a iable summe empe a u e e-
gimes we e capable o p ese ing quan i a i e gene ic di e si y in his
popula ion, no only would he ea men s a ec o e all means bu
also induce geno ype × en i onmen in e ac ions in g ow h and i s al-
loca ion. Mo eo e , we expec ed he magni ude o hese in e ac ions
o be la ge compa ed o he a e age e ec o amily and a la ge p o-
po ion o he in e ac ion a iance o be due o ank shi s o amilies
among simula ed g owing season empe a u e cycles.
2 | MATERIALS AND METHODS
2.1 | Sampling
We collec ed seed ma e ial o he s udy by ma e nal amily a a dis ance
o abou 300–500 m om he Sou h B ush C eek SNOTEL wea he
s a ion (41.333°N, 106.500°W; ele a ion 2,572 m) in sou heas e n
Wyoming on 26 July 2012. The inb eeding coe icien in popula ions
o B. s ic a is high (0.74–0.98 in Song e al., 2006), sugges ing ha ma-
e nal p ogeny consis mos ly o ull- sibs. All excep one o he sampled
plan s we e loca ed along a ansec o app oxima ely 300 m. Because
we we e in e es ed in na u al pa e ns o a ia ion p esen in he popula-
ion a he ime o sampling a he han cha ac e izing he gene ic back-
g ound o quan i a i e ai a ia ion, we used wild- collec ed seeds in
he expe imen . O he 21 amilies in es iga ed in his s udy, 19 we e in-
cluded in he s udy by Salmela e al. (2016) ha documen ed signi ican
wi hin- popula ion gene ic a ia ion in he ci cadian clock and g ow h.
2.2 | T ea men s
Based on eco ds om he wea he s a ion (h p://www.wcc.
n cs.usda.go /nwcc/si e?si enum=772), we p og ammed g ow h
chambe compa men s (PGC- 9/2 wi h Pe ci al Ad anced In ellus
En i onmen al Con olle , Pe ci al Scien i ic, Pe y, IN, USA) o ack
hou ly empe a u e changes a he si e du ing an 8- week pe iod on
June 1–July 25 in 2009, 2010, and 2012. Thus, each ea men con-
sis ed o o e 1,300 empe a u e s eps. In he ollowing sec ions o
he a icle, we will e e o hese ea men s by he co esponding
yea . We chose o ocus on June and July because an ea lie s udy
indica ed he mos igo ous g ow h in a ea men simula ing ea ly
g owing season condi ions (Salmela e al., 2016) and because in May
he si e egula ly expe iences eezing empe a u es as low as −15°C
ha canno be achie ed in he chambe s used. Daily mean empe a-
u es in each ea men a e shown in Figu e 1. These ea men s
ep esen ed a ange o mean June empe a u es a he si e (10.2°C
in 2009, 12.0°C in 2010, and 15.0°C in 2012) du ing a pe iod om
which hou ly eco ded empe a u e da a we e a ailable; he summe
o 2012 is he ho es on eco d a he si e and in he es o Wyoming
(NOAA Na ional O e iew o Annual 2012). Due o lack o hou ly
da a, we did no simula e he cooles June on eco d (1998, wi h a -
e age empe a u e o 8.3°C). A e age daily maximum and minimum
empe a u es in June we e 17.4°C and 3.6°C in 2009, 19.6°C and
4.2°C in 2010, and 23.4°C and 5.1°C in 2012. Unde chambe condi-
ions, mean July empe a u es we e 14.7°C in bo h 2009 and 2010,
and 16.3°C in 2012. This esul ed in o e all ea men means o ap-
p oxima ely 12.5°C in 2009, 13.4°C in 2010, and 15.7°C in 2012. Due
o chambe es ic ions on minimum empe a u e (4°C in he da k,
10°C wi h all ligh s on), o e all expe imen al condi ions we e sligh ly
(0.09–0.23°C) highe han hose in he ield.
Pho ope iod was app oxima ely 15 h , wi h g adual changes in a
simila ashion in all ea men s acco ding o local sun ise and sunse
imes o e he cou se o he 8- week pe iod. To simula e dawn and
dusk, 50% o he ligh s we e on du ing he i s and las hou o he
pho ope iod. Maximum pho osyn he ically ac i e i adiance, measu ed
wi h he ligh me e LI- 250 (LI- COR Biosciences, Lincoln, NE, USA)
in all chambe s be o e he expe imen , was app oxima ely 250 μmol
pho ons m−2 s−1 a he plan le el. We did no eplica e ea men s;
hus, amily × ea men e ec s canno be unequi ocally a ibu ed o
empe a u e. Howe e , a ia ion in o he con ollable ac o s is likely
o ha e been small compa ed o empe a u e due o e y simila ligh
le els in all chambe compa men s. Daily moni o ing o empe a u e
|
7577
Salmela e al.
by he mome e s also indica ed ha chambe condi ions adhe ed o
p og ammed se ings.
We ge mina ed and plan ed seeds om he 21 amilies, wi h
en eplica es pe amily in each ea men , ollowing he p o ocol
in Salmela e al. (2016). We did no sco e iming o ge mina ion due
o apid ge mina ion on mois pape in all he amilies wi hin 4 days
ollowing cold s a i ica ion. We di ided he seedlings in o he h ee
ea men s, wi h en blocks wi hin each and one eplica e pe amily
andomized wi hin a block. We wa e ed po s o ield capaci y e e y
2 days and o a ed la s wi hin he chambe compa men s wice
e e y week. The species equi es e naliza ion in o de o lowe ;
due o di icul ies in simula ing ecologically ele an high- ele a ion
au umn, win e , and sp ing condi ions in ou expe imen al se ings
(ai empe a u e a he si e can d op below −30°C), we measu ed he
equi alen o i s - yea g ow h only. A e 8 weeks, we sco ed he
numbe o lea es and he leng h o he longes lea in all eplica es
and sampled whole plan s o abo e- and belowg ound biomass and
oo - o- shoo a io. We d ied plan s in an o en a 65°C o 3 days be-
o e biomass measu emen s. Lea measu es we e s ongly co ela ed
wi h abo eg ound biomass ( he numbe o lea es: ≥ .807, p < .0001
in all ea men s; he longes lea leng h s. √abo eg ound biomass:
≥ .923, p < .0001 in all ea men s). Because quali a i ely simila e-
sul s we e ob ained wi h all co ela ed measu es, we will use biomass
only as a measu e o abo eg ound plan g ow h. We sampled plan s
a 8 weeks because he oldes lea es o en s a o senesce a his
poin in chambe condi ions (M.J. Salmela, pe sonal obse a ion) and
because an 8- week pe iod is likely o accoun o a la ge p opo ion o
he annual g owing season a he home si e o he popula ion.
2.3 | S a is ical analyses
We included amilies wi h a leas ou eplica es in wo ea men s
in he analysis. P io o o mal s a is ical es s, we examined whe he
ou da a me assump ions o analysis o a iance. We de ec ed a i-
ance he e ogenei y o esiduals among ea men s in all ai s, wi h
a iances a ying 6.6- old o abo eg ound biomass, 9.5- old o
belowg ound biomass, and 4.8- old o oo - o- shoo a io. These
anges o a ia ion esul ed om he 2012 ea men ha had he
mos pheno ypic a ia ion in all ai s; a iance di e ences be ween
2009 and 2010 we e less han wo old. To de e mine he in luence
o unequal a iances, we an all s a is ical analyses wi h he comple e
da ase using bo h o iginal and ans o med measu emen s. While
ans o ma ions educed a iance he e ogenei y, hey did no change
he ou come o he analyses o in e p e a ion o he esul s. This ou -
come p obably e lec s he obus ness o analysis o a iance o un-
equal a iances in he case o simila sample sizes in all ea men s.
The e o e, we used he aw alues in he analyses p esen ed he e.
We i s es ed o he signi ican e ec s o amily and block
wi hin each ea men using gene al linea models. We conside a i-
a ion among ma e nal amilies o ep esen gene ic di e si y wi hin
he popula ion, and hus, p opo ion o o al a ia ion explained by
among- amily di e si y in each ea men is an es ima e o b oad-
sense he i abili y (H2). We es ima ed a iance componen s o amily,
block, and esidual a ia ion using he REML app oach. We examined
associa ions be ween he ai s wi hin ea men s using eplica e al-
ues and Pea son’s co ela ion. Sca e plo s sugges ed he slope be-
ween abo e- and belowg ound biomass a ies among ea men s. To
es o ea men di e ences in slope (ß1), we pe o med a eg ession
analysis o abo eg ound biomass on belowg ound biomass in which
we included ea men as a ca ego ical ac o and he abo eg ound
biomass × ea men in e ac ion e m.
To in es iga e he con ibu ions o di e en sou ces o a ia ion
ac oss all h ee ea men s and be ween pai s o ea men s, we
used he model abo e- o belowg ound biomass o oo - o- shoo
a io = ea men + amily + amily × ea men + block( ea men ).
We conside ed ea men a ixed ac o . When nonsigni ican a he
FIGURE1 Va ia ion in daily mean
empe a u es in g ow h chambe
ea men s simula ing h ee summe s wi h
di e ing a e age empe a u es a Sou h
B ush C eek in sou heas e n Wyoming.
O e all ea men means we e 12.5°C
in 2009, 13.4°C in 2010, and 15.7°C
in 2012. Due o he hou ly acking o
empe a u e he e ogenei y a he si e, each
ea men consis ed o o e 1,300 di e en
empe a u e s eps
7578
|
Salmela e al.
0.10 le el, we emo ed he in e ac ion e m om he analysis. Gi en
ha among- amily a ia ion measu es gene ic di e si y wi hin he
popula ion, he amily × ea men e m de ines geno ype × en i on-
men in e ac ions. We es ima ed a iance componen s o he andom
ac o s using he REML app oach. Geno ype × en i onmen in e ac-
ions can main ain di e si y i hey a e caused by ank shi s o geno-
ypes a he han by di e ences in among- geno ype a iance among
ea men s (Mi chell- Olds, 1992). In o de o sepa a e he e ec s o
shi s in amily ank o de s. among- amily a iance on a s a is ically
signi ican in e ac ion a iance componen , we used he equa ion
(Cocke ham, 1963):
whe e VFamily × ea men is he a iance componen due o amily ×
ea men in e ac ion, σi and σj a e he squa e oo s o among- amily
a iances in ea men s i and j, GE is he gene ic co ela ion be ween
ea men s i and j, and is he numbe o ea men s. The i s pa
o he equa ion accoun s o a iance due o changes in ank o de
among ea men s, while he second pa accoun s o ea men di -
e ences in among- amily a iance. We es ima ed gene ic co ela ions
using amily a iance componen s wi hin each ea men and ac oss
pai s o ea men s (Windig, 1997):
whe e VFamily is he a iance componen due o amily ac oss he wo
en i onmen s, and VFamily, ea men i and VFamily, ea men j a e he a i-
ance componen s due o amily in ea men s i and j. We ca ied ou all
s a is ical analyses wi h IBM SPSS S a is ics Ve sion 23.
3 | RESULTS
Table 1 shows gene al linea model esul s o he h ee ai s
wi hin each ea men , along wi h ea men means and measu es
V
Family × ea men =
(∑
i<j
[2σiσj(1− GE)+(σi−σj)2]
)
∕( ( −
1),
GE =VFamily∕
√(
VFamily, ea men i×VFamily, ea men j
),
TABLE1 Gene al linea model esul s o abo e- and belowg ound biomass and oo - o- shoo a io in a popula ion o Boeche a s ic a
wi hin each ea men simula ing di e ing g owing season empe a u e condi ions a Sou h B ush C eek in sou heas e n Wyoming
Fac o d
Abo eg ound biomass Belowg ound biomass Roo - o- shoo a io
MS F- a io p- alue % MS F- a io p- alue % MS F- a io p- alue %
2009
Family 18 0.00124 1.84 * 9.96a0.0000557 1.58 .0784 6.53a0.00734 2.18 ** 11.7a
Block 9 0.00119 1.76 .0840 4.92 0.0000607 1.72 .0931 4.89 0.0111 3.30 ** 11.9
Residual 105 0.000674 85.1 0.0000352 88.6 0.00336 76.3
Mean
(±SE)
0.0557 (±0.00243) g 0.0111 (±0.000547) g 0.202 (±0.00570)
VP7.99 × 10−4 4.02 × 10−5 4.43 × 10−3
VF7.96 × 10−5 2.63 × 10−6 5.21 × 10−4
2010
Family 20 0.00460 5.35 **** 31.0a0.000179 4.52 **** 26.2a0.00590 3.24 **** 20.1a
Block 9 0.00311 3.61 *** 8.84 0.000163 4.10 *** 11.0 0.00659 3.62 *** 11.4
Residual 147 0.000860 60.2 0.0000396 62.8 0.00182 68.5
Mean
(±SE)
0.0573 (±0.00282) g 0.0105 (±0.000593) g 0.174 (±0.00384)
VP1.42 × 10−3 6.28 × 10−5 2.66 × 10−3
VF4.41 × 10−4 1.64 × 10−5 5.35 × 10−4
2012
Family 19 0.00469 0.947 ns 0a0.000377 0.957 ns 0a0.0275 3.04 *** 19.5a
Block 9 0.000855 0.173 ns 0 0.000200 0.508 ns 00.0298 3.29 ** 11.2
Residual 120 0.00495 100 0.000394 100 0.00906 69.3
Mean
(±SE)
0.115 (±0.00561) g 0.0311 (±0.00160) g 0.268 (±0.00934)
VP4.69 × 10−3 3.83 × 10−4 1.30 × 10−2
VF0 0 2.52 × 10−3
The pe cen age shows he p opo ion o o al a ia ion explained by each ac o . VP = a iance componen o pheno ypic a ia ion; VF = a iance compo-
nen o among- amily (gene ic) a ia ion.
ns = p > .10, *p < .05, **p < .01, ***p < .001, ****p < .0001.
aEs ima e o b oad- sense he i abili y (H2).

|
7579
Salmela e al.
o pheno ypic and gene ic di e si y. In 2009, he amily e ec was
signi ican o abo eg ound biomass and oo - o- shoo a io, an in-
dica ion o gene ic a ia ion in he popula ion. Fo belowg ound bi-
omass, he amily e ec was close o signi icance a he 0.05 le el
(p = .078). In 2010, he amily e ec was highly signi ican o all ai s.
Al hough 2012 was he mos pheno ypically a iable ea men , we
ound no signi ican gene ic a ia ion o abo e- o belowg ound bio-
mass in his yea ; a ia ion was en i ely esidual. Fo oo - o- shoo
a io, howe e , amily di e ences in 2012 we e highly signi ican .
Fo abo eg ound biomass, pheno ypic and gene ic a ia ion in 2009
we e 56.3% and 18.0%, espec i ely, o hose in 2010, esul ing in
highe b oad- sense he i abili y in 2010. The pa e n was simila o
belowg ound biomass: Pheno ypic and gene ic a ia ion in 2009 we e
64.0% and 16.0%, espec i ely, o hose in 2010. These di e ences
we e no due o he wo amilies in 2010 o which we lacked da a
in 2009; when hey we e excluded, we ob ained e y simila es i-
ma es o wi hin- ea men di e si y. Simila le els o gene ic di e si y
we e exp essed in oo - o- shoo a io in 2009 and 2010, bu b oad-
sense he i abili y in 2009 was lowe due o 66.5% mo e pheno ypic
a ia ion in his ea men . We obse ed he highes pheno ypic and
gene ic a ia ion in oo - o- shoo a io in 2012. Howe e , due o in-
c eases o simila magni ude in all a iance componen s, b oad- sense
he i abili y in 2012 was simila o ha in 2010.
Abo e- and belowg ound biomass we e posi i ely co ela ed in
all ea men s (Figu e 2). This associa ion was he s onges in 2010
(Figu e 2A) and he weakes in 2012 (Figu e 2B). A signi ican abo-
eg ound biomass × ea men in e ac ion in he eg ession analysis
indica ed ea men di e ences in he slope be ween he wo a iables
(F2,453 = 4.13, p < .05), wi h e y simila es ima es in 2009 and 2010
(2009: ß1 = 0.192, 95% CI: 0.171–0.212; 2010: ß1 = 0.191, 95% CI:
0.178–0.204; Figu e 2A) and a s eepe one in 2012 (ß1 = 0.233, 95%
CI: 0.206–0.260; Figu e 2B). Belowg ound biomass was posi i ely and
mode a ely co ela ed wi h oo - o- shoo a io in all ea men s (2009:
= .470, p < .0001, 95% CI: 0.330–0.605; 2010: = .592, p < .0001,
95% CI: 0.482–0.689; 2012: = .569, p < .0001, 95% CI: 0.464–0.664).
In 2010, abo eg ound biomass showed a weak posi i e co ela ion wi h
oo - o- shoo a io ( = .288, p < .001, 95% CI: 0.153–0.422). In 2009
and 2012, his co ela ion was no signi ican ly di e en om ze o.
T ea men had a highly signi ican e ec on all h ee ai s (Table 2).
Abo eg ound biomass was wice and belowg ound biomass abou h ee
imes la ge in 2012 han in 2009 o 2010, and hus, also oo - o- shoo
a io displayed i s highes ea men mean in 2012 (Table 1). Fo abo e-
and belowg ound biomass, he only signi ican andom ac o ac oss
all ea men s was amily. We ound a signi ican amily × ea men
in e ac ion e m o oo - o- shoo a io, e ealing a ia ion in pheno-
ypic plas ici y among ma e nal amilies in he popula ion. The a iance
componen due o he in e ac ion was abou 27% bigge (6.49 × 10−4)
han ha o amily (5.10 × 10−4). App oxima ely 63% o he in e ac ion
a iance was due o ank changes o amilies ac oss he ea men s
(Figu e 3A), esul ing in e y simila magni ude o a iance componen s
due o amily s. ank o de changes. In acco dance wi h he mode a e
o e all amily e ec , gene ic co ela ions o oo - o- shoo a io be-
ween ea men s we e posi i e: 0.720 be ween 2009 and 2010, 0.527
be ween 2009 and 2012, and 0.521 be ween 2010 and 2012.
Table 3 shows esul s o pai wise compa isons o ea men s. We
ound highly signi ican ea men di e ences in biomass be ween 2009
and 2012, and 2010 and 2012. Al hough he o e all e ec o ea men
was no signi ican in he compa ison o 2009 and 2010, we obse ed
a signi ican amily × ea men in e ac ion o abo eg ound biomass.
Howe e , he a iance componen due o amily was 1.73 imes bigge
han ha due o he in e ac ion, signaling ha he signi ican in e ac ion
a ises mainly om he ea men di e ences in among- amily a iance
(Table 1). Fo belowg ound biomass in he same ea men compa i-
son, he pa e n was compa able: The amily × ea men in e ac ion
FIGURE2 Va iable associa ions be ween abo e- and belowg ound biomass wi hin a popula ion o Boeche a s ic a sampled a Sou h B ush
C eek in sou heas e n Wyoming and g own in h ee ea men s simula ing di e ing summe empe a u e condi ions a i s na i e si e. 2012
di e ed om he wo o he ea men s in i s o e all ai means and a iances. Fo cla i y, we show da a o 2012 in a sepa a e igu e. (A) In
ea men s simula ing he summe s o 2009 and 2010, he co ela ions and slopes be ween he ai s we e no signi ican ly di e en om each
o he . (B) In he ea men simula ing he summe o 2012, he co ela ion be ween he ai s was signi ican ly weake han in 2010. Also, he
slope was signi ican ly s eepe (ß1 = 0.233) han he one in 2010 (ß1 = 0.191)
7580
|
Salmela e al.
was close o signi icance a he 0.05 le el (p = .0880). Fo oo - o- shoo
a io, pai wise compa isons o ea men s indica ed mode a e di e -
ences in mean be ween 2009 and 2010, and highly signi ican di e -
ences be ween 2009 and 2012, and 2010 and 2012. The di e ence
be ween 2009 and 2010, despi e he lack o signi ican ea men e -
ec s in i s wo componen s, was likely caused by small bu opposi e
changes in he wo biomass measu es: O e all abo eg ound biomass
was sligh ly la ge in 2010 han in 2009, while he opposi e pa e n was
ound o belowg ound biomass (Table 1). In he compa ison o 2009
and 2010 o 2012, we de ec ed some suppo o a amily × ea men
in e ac ion (p = .0941). In he pai wise compa isons o 2009 and 2010
o 2012, we obse ed mo e s a is ical suppo o amily × ea men
in e ac ions han o amily. Toge he wi h a ia ion in he s eng h o
gene ic co ela ions, he esul s indica e ha di e ing amily esponses
o 2012 in pa icula accoun o he signi ican in e ac ion e m in oo -
o- shoo a io ac oss all ea men s.
4 | DISCUSSION
In his s udy, we combined en i onmen al da a wi h quan i a i e
gene ic app oaches o examine whe he empo al en i onmen al
he e ogenei y could ac as one mechanism main aining gene ic a i-
a ion in g ow h and i s alloca ion wi hin a plan popula ion expe i-
encing a iable condi ions a i s home si e. In o de o ca y ou he
expe imen in as ecologically ele an chambe condi ions as possi-
ble, we ook ad an age o ine- esolu ion empe a u e da a om a
wea he s a ion ha was loca ed in he icini y o he sampled popula-
ion. This enabled us o quan i y he po en ial o na u al among- yea
he e ogenei y in g owing season empe a u es o induce geno ype ×
en i onmen in e ac ions in i s - yea g ow h ai s.
Sel - e iliza ion is expec ed o educe gene ic di e si y and conse-
quen ly limi long- e m su i al p ospec s o popula ions ( e iewed in
W igh , Kalisz, & Slo e, 2013). Ye , popula ions o p edominan ly sel -
e ilizing plan species like A. haliana and B. s ic a may ha bo con-
side able le els o local quan i a i e and molecula gene ic a ia ion
(Ba on e al., 2015; Kui inen e al., 1997; Méndez- Vigo e al., 2013;
Salmela e al., 2016; Siemens, Haugen, Ma zne , & Vanasma, 2009;
Song e al., 2006; S enøien e al., 2005). Because he a e a which
he popula ion mean o a quan i a i e ai can change is posi i ely
co ela ed wi h he amoun o gene ic di e si y in he ai (Falcone
& Mackay, 1996; Houle, 1992), unde s anding he main enance o ge-
ne ic a ia ion in he wild has become one o he key ques ions in
mode n e olu iona y and conse a ion biology (F anks e al., 2014;
TABLE2 Gene al linea model esul s o abo e- and belowg ound biomass and oo - o- shoo a io ac oss all ea men s
Fac o d
Abo eg ound biomass Belowg ound biomass
d
Roo - o- shoo a io
MS F- a io p- alue MS F- a io p- alue MS F- a io p- alue
T ea men 2 0.156 87.1 **** 0.0193 128 **** 2 0.344 17.7 ****
Family 20 0.00582 2.71 *** 0.000256 1.65 * 20 0.0215 2.29 *
Family × ea men 37 0.00950 2.07 ***
Block( ea men ) 27 0.00177 0.822 ns 0.000151 0.972 ns 27 0.0158 3.45 ****
Residual 409 0.00215 0.000155 372 0.00459
ns = p > .10, * p < .05, ** p < .01, *** p < .001, **** p < .0001.
In e ac ion e ms we e included in he models when signi ican a he p < .10 le el.
FIGURE3 (A) Reac ion no ms o oo - o- shoo a io o na u ally occu ing ma e nal amilies o Boeche a s ic a ha we e sampled a
Sou h B ush C eek in sou heas e n Wyoming and g own in h ee ea men s simula ing summe s wi h di e ing a e age empe a u es a he
popula ion’s home si e. (B) The nega i e associa ion be ween mean June empe a u e and p ecipi a ion du ing he mon h a Sou h B ush C eek
be ween 1995 and 2014 ( = −.737, p < .001)
|
7581
Salmela e al.
Me ilä & Hend y, 2014). Ou esul s e ealed no only ha he e was
quan i a i e gene ic a ia ion in he high- ele a ion B. s ic a popula-
ion om he Rocky Moun ains bu also ha he magni ude o such
di e si y a ied g ea ly among ea men s mimicking na u al g owing
season empe a u e he e ogenei y. Gene ic di e si y in abo eg ound
biomass was he highes unde he summe empe a u es o 2010,
while in he ea men simula ing he summe o 2009 ha was on
a e age only 0.9°C coole han 2010, gene ic a iance had educed
by o e 80%. Fo belowg ound biomass, we ound a quali a i ely sim-
ila pa e n, al hough in his case he amily e ec in 2009 was a li -
le weake . A di e gen pa e n o gene ic di e si y eme ged in he
ea men simula ing he wa mes summe eco ded a he home si e
o he popula ion: Va ia ion in bo h abo e- and belowg ound biomass
was comple ely esidual in 2012. Due o he di e gence in a iances,
b oad- sense he i abili y o biomass a ied be ween 0 and 0.31 ac oss
wo ea men s wi h a mean empe a u e di e ence o only 2.3°C.
He i abili ies and gene ic a iances commonly a y ac oss en-
i onmen s, which complica es p edic ing esponses o selec ion
(Cha man ie & Ga an , 2005; Falcone & Mackay, 1996). Lowe le els
o quan i a i e gene ic di e si y may be exp essed in un a o able con-
di ions (Cha man ie & Ga an , 2005; Ho mann & Me ilä, 1999). Thus,
ela i e o he in e media e empe a u es in 2010, he coole g ow h
en i onmen du ing he mon h o June 2009 may ha e con ibu ed o
he educed gene ic a iabili y in biomass in his yea . Howe e , he
subs an ial biomass inc ease obse ed in esponse o he simula ed
2012 condi ions indica es ha he unusually wa m empe a u es on
hei own we e no de imen al o ou s udy popula ion. Ins ead, he
lack o quan i a i e gene ic di e si y in biomass in his ea men may
be due o he a ypical high empe a u es, o he no el combina ion o
high empe a u e and mois u e ha his pa icula popula ion would
be unlikely o encoun e in na u e. Indeed, one limi a ion o ou s udy
is ha al hough we p og ammed ou chambe ea men s o ack
closely na u al empe a u e luc ua ions ha had occu ed a he si e,
we in es iga ed he e ec s o a single en i onmen al a iable only.
We kep plan s well- wa e ed h oughou he expe imen , bu eco ds
om he wea he s a ion show ha no p ecipi a ion occu ed a he
si e in June 2012. The egion expe ienced se e e d ough du ing he
summe o 2012 (NOAA Na ional O e iew o Annual 2012), which
would be expec ed o inc ease alloca ion o oo s bu also limi bio-
mass accumula ion in he shoo (Mokany, Raison, & P okushkin, 2006;
Poo e e al., 2012). The e o e, a di e ing esponse migh ha e been
obse ed in ou expe imen had we simula ed na u al a ia ion in mul-
iple en i onmen al ac o s simul aneously.
In he wild, na u al selec ion ope a es on o al pheno ypic a iance
shaped by bo h gene ic and nongene ic ac o s (Falcone & Mackay,
1996). Because we we e in e es ed in he esponse o a na u al pop-
ula ion o he en i onmen al he e ogenei y o i s na i e en i onmen ,
we used wild- collec ed seeds in he expe imen . As a consequence, i
TABLE3 Gene al linea model esul s o pai wise ea men compa isons
Fac o
2009–2010 2009–2012 2010–2012
d MS F- a io p- alue d MS F- a io p- alue d MS F- a io p- alue
Abo eg ound biomass
T ea men 1 0.000417 0.159 ns 1 0.208 164 **** 1 0.244 121 ****
Family 20 0.00382 2.62 * 20 0.00386 1.34 ns 20 0.00582 2.12 **
Family ×
ea men
18 0.00146 1.86 *
Block( ea men ) 18 0.00215 2.74 *** 18 0.00105 0.362 ns 18 0.00196 0.715 ns
Residual 252 0.000783 242 0.00289 286 0.00275
Belowg ound biomass
T ea men 1 0.0000261 0.217 ns 1 0.0244 165 **** 1 0.0317 166 ****
Family 20 0.000158 2.77 * 20 0.000224 0.992 ns 20 0.000287 1.42 ns
Family ×
ea men
18 0.0000569 1.51 .0880
Block( ea men ) 18 0.000112 2.95 **** 18 0.000137 0.608 ns 18 0.000190 0.935 ns
Residual 252 0.0000378 242 0.000226 286 0.000203
Roo - o- shoo a io
T ea men 1 0.0488 5.31 * 1 0.287 11.5 ** 1 0.687 29.3 ****
Family 20 0.00935 2.55 * 20 0.0213 1.62 ns 20 0.0212 1.83 .0949
Family ×
ea men
18 0.00367 1.49 .0941 17 0.0131 2.05 ** 19 0.0117 2.30 **
Block( ea men ) 18 0.00883 3.59 **** 18 0.0204 3.19 **** 18 0.0182 3.59 ****
Residual 252 0.00246 225 0.00640 267 0.00507
ns = p > .10, *p < .05, **p < .01, ***p < .001, ****p < .0001.
In e ac ion e ms we e included in he models when signi ican a he p < .10 le el.
7582
|
Salmela e al.
is possible ha ou es ima es o gene ic a iance also include a com-
ponen due o ma e nal e ec s. Va ia ion in he en i onmen may
esul in di e en ial ma e nal p o isioning du ing seed de elopmen ,
he e ec s o which could esemble hose caused by seg ega ing ge-
ne ic di e si y (e.g., Bischo & Mülle - Schä e , 2010). Fu he , ma e -
nal e ec s may be adap i e so ha hey enhance o sp ing i ness in
condi ions simila o hose expe ienced by he pa en s (Galloway &
E e son, 2007). D ough expe ienced by pa en s has been ound o
enhance d ough ole ance o o sp ing in B. s ic a (Alsdu , Ripley,
Ma zne , & Siemens, 2013), bu he gene al impo ance o ma e nal
e ec s o ai a ia ion in his species is no known. While we canno
ule ou po en ial ansgene a ional e ec s on he obse ed pheno-
ypic a ia ion, i is likely ha he seeds used in he expe imen ma-
u ed unde simila empe a u e and mois u e condi ions because all
seed collec ions ook place on he same day and wi hin a ange o a
ew hund ed me e s a a single loca ion. Rega dless o he p ecise un-
de lying causes, i is no ewo hy ha in ou expe imen , he g ea es
po en ial o e olu iona y esponses o selec ion in biomass exis ed
unde in e media e empe a u es and ha pa e ns o a ia ion unde
such condi ions we e no indica i e o hose in no el en i onmen al
se ings caused by highe empe a u e.
One ac o ha may play a ole in he main enance o mul iple
pheno ypically dis inc lineages in a popula ion is en i onmen al he -
e ogenei y on a local scale (Gillespie & Tu elli, 1989; Linha & G an ,
1996; Salmela, 2014). We hypo hesized ha he exis ence o ine-
scale gene ic a ia ion in g ow h in ou s udy sys em could be ela ed
o among- yea a ia ion in g owing season empe a u e condi ions
in he home en i onmen . Size is a equen i ness p oxy in plan s,
and shoo size has been epo ed o co ela e mode a ely wi h ep o-
duc i e e o in B. s ic a (Siemens & Haugen, 2013); hus, changes in
ank o de o biomass could be expec ed o in luence i ness anks,
oo. In compa ison wi h 2009 and 2010, we ound ha a e age abo-
eg ound biomass doubled and belowg ound biomass ipled unde
he unusually wa m condi ions o 2012. Biomass inc ease in esponse
o wa m empe a u es is common in plan s, especially when g ow-
ing in nonlimi ing condi ions (Lin, Xia, & Wan, 2010; P egi ze , King,
Bu on, & B own, 2000). Howe e , despi e he signi ican ea men
and amily e ec s, we obse ed no signi ican amily × ea men in-
e ac ions in biomass ac oss he h ee empe a u e en i onmen s. In
he pai wise compa ison o 2009 and 2010, he amily × ea men
in e ac ion e ms we e signi ican o close o signi ican , bu he a i-
ance componen s due o amily we e o g ea e magni ude han hose
o he in e ac ions. This mi o s he obse ed ea men di e ences
in gene ic a iances wi h li le change in amily ank o de ac oss em-
pe a u e egimes.
The lack o amily × ea men in e ac ions in biomass sugges s
ha empe a u e a ia ion among g owing seasons alone is unlikely
o accoun o he gene ic di e si y in g ow h in ou s udy sys em
(Mi chell- Olds, 1992). This is in acco dance wi h a p e ious expe i-
men ha explo ed he possibili y ha pho ope iodic and empe a u e
a ia ion wi hin a po en ial g owing season could main ain gene ic
di e si y in g ow h ai s in he same B. s ic a popula ion (Salmela
e al., 2016). In he ea lie s udy, mon h wi hin a g owing season (June,
Augus , o Sep embe ) had a la ge e ec on o e all g ow h, bu mo e
a ia ion was due o amily han amily × ea men in e ac ions ac oss
he h ee di e en mon hs. In hese g owing season ea men s, bo h
pho ope iod and empe a u e a ied and he ange o a ia ion in em-
pe a u e among ea men s was mo e ex ensi e han in he cu en
s udy. Ne e heless, al hough we did no de ec signi ican amily ×
ea men in e ac ions o biomass, condi ional neu ali y a he le el
o ma e nal amily may slow he e osion o gene ic a ia ion (c . F y,
Heinsohn, & Mackay, 1996; Schnee & Thompson, 1984). Speci ically,
in yea s simila o ou 2009 and 2010 ea men s, gene ic a ia ion
in size would be exp essed; bu in yea s simila o 2012, gene ic di-
e si y in he popula ion could be masked, and selec ion migh no
di e en ia e among dis inc ma e nal lineages (e.g., Me ilä, 1997). I is
also possible ha ine- scale gene ic di e si y in g ow h in his pe en-
nial species is main ained by ex ensi e empo al he e ogenei y in low
win e , sp ing, and au umn empe a u es ha could no be simula ed
in he chambe s used, o by o he abio ic o bio ic ac o s, such as ine
spa ial he e ogenei y in soil o compe i ion (Ba on e al., 2015; Shaw
e al., 1995; S a on, 1994).
Pa e ns o a ia ion exp essed o oo - o- shoo a io di e ed
om he wo o he ai s. The ai exhibi ed signi ican gene ic di e -
si y in all h ee ea men s, and in con as o biomass, he mos ge-
ne ic a ia ion was exp essed in 2012. The wo o he ea men s had
e y simila le els o gene ic a ia ion, bu di e ences in he amoun
o esidual a ia ion esul ed in b oad- sense he i abili y in 2010 being
almos wice as high as in 2009. The signi ican gene ic di e si y in
his ai in 2012 despi e he lack o such a ia ion in i s wo compo-
nen s may be due a di e ing associa ion be ween abo e- and below-
g ound biomass in his ea men : The co ela ion be ween he ai s
was weake and belowg ound biomass gain pe an inc ease in abo-
eg ound biomass la ge in 2012 han in 2010.
Simila o biomass, we de ec ed he highes o e all mean o oo -
o- shoo a io in 2012. The ai is known o be sensi i e o di e -
en en i onmen al cues such as ligh and mois u e, and limi a ions in
abo e- o belowg ound esou ces o en esul in inc eased alloca ion
o he co esponding pa s o he plan (Poo e & Nagel, 2000). In ou
expe imen , plan s g ew in well- wa e ed condi ions bu a iable em-
pe a u es. Reduced wa e up ake by oo s in coole empe a u es may
unde lie sligh ly inc eased alloca ion o oo s in 2009 (Poo e e al.,
2012). Based on among- species pa e ns o a ia ion, oo - o- shoo
a io is expec ed o be nega i ely co ela ed wi h shoo size in he -
baceous plan s (Poo e e al., 2012; Wilson, 1988; see also Mokany
e al., 2006); in ou s udy ocusing on a much ine le el o wi hin-
species di e si y ound in he wild, inc eases in abo e- and below-
g ound biomass in he 2012 ea men also led o highe oo - o- shoo
a ios. La ge alloca ion o oo s in his ea men may be ela ed o
he pa e ns o co a ia ion be ween empe a u e and p ecipi a ion in
he popula ion’s na i e en i onmen : Du ing a 20- yea pe iod (1995–
2014), a e age June empe a u e and p ecipi a ion inc emen du ing
he mon h a he si e we e nega i ely co ela ed ( = −.737, p < .001,
Figu e 3B). Du ing Junes o 2012 and 2013, he 2 yea s wi h he high-
es mean June empe a u es, no p ecipi a ion was eco ded a he
si e, condi ions unde which inc eased alloca ion o oo s would be