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Running Head 1
Hydraulic variation in three Ranunculus species 2
3
Corresponding Author 4
Markus Nolf, Hawkesbury Institute for the Environment, Western Sydney University, 5
Richmond NSW 2753, Australia, Phone: +61 2 4570 1028, Email: 6
8
Research Area 9
Ecophysiology and Sustainability 10
11
12
Plant Physiology Preview. Published on February 19, 2016, as DOI:10.1104/pp.15.01664
Copyright 2016 by the American Society of Plant Biologists
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Title 13
Herb hydraulics: Inter- and intraspecific variation in three Ranunculus species 14
15
Authors 16
Markus Nolf1,2, Andrea Rosani1, Andrea Ganthaler1, Barbara Beikircher1, Stefan Mayr1 17
18
Address 19
1 Institute of Botany, University of Innsbruck, 6020 Innsbruck, Austria 20
2 Hawkesbury Institute for the Environment, Western Sydney University, Richmond NSW 21
2753, Australia 22
23
Author Contributions 24
The study was led by M.N. and S.M; all authors contributed to the experimental design and 25
methodical developments; A.G., A.R., B.B. and M.N. conducted field and laboratory 26
measurements and performed data analysis. M.N. prepared the manuscript with 27
contributions of all the authors. S.M. supervised and complemented the writing. 28
29
Summary 30
Small herbaceous species are vulnerable to water stress, but adjusted to their habitat 31
conditions and internally coordinated to avoid hydraulic failure. 32
33
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Financial sources 34
The study was supported by the Austrian Science Fund, FWF projects I826-B25 and T-667. 35
Markus Nolf is a recipient of a DOC-fellowship of the Austrian Academy of Sciences. 36
37
38
Present Address 39
Hawkesbury Institute for the Environment, Western Sydney University, Richmond NSW 40
2753, Australia 41
42
Corresponding Author 43
Markus Nolf, [email protected] 44
45
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Abstract 46
The requirements to the water transport system of small herbaceous species differ 47
considerably from those of woody species. Despite their ecological importance for many 48
biomes, knowledge regarding herb hydraulics remains very limited. 49
We compared key hydraulic features (vulnerability to drought-induced hydraulic decline, 50
pressure-volume relations, onset of cellular damage, in situ variation of water potential and 51
stomatal conductance) of three Ranunculus species differing in their soil humidity 52
preferences and ecological amplitude. 53
All species were very vulnerable to water stress (50 % reduction in whole-leaf hydraulic 54
conductance (kleaf) at -0.2 to -0.8 MPa). In species with narrow ecological amplitude, the 55
drought-exposed R. bulbosus was less vulnerable to desiccation (analysed via loss of kleaf 56
and turgor loss point (TLP)) than the humid-habitat R. lanuginosus. Accordingly, water stress 57
exposed plants from the broad-amplitude R. acris revealed tendencies of lower vulnerability 58
to water stress (e.g. osmotic potential at full turgor, cell damage, stomatal closure) than 59
conspecific plants from the humid site. 60
We show that small herbs can adjust to their habitat conditions on inter- and intraspecific 61
levels in various hydraulic parameters. Coordination of hydraulic thresholds (50 and 88 % 62
loss of kleaf, TLP, minimum in situ water potential) enabled the study species to avoid 63
hydraulic failure and damage to living cells. Reversible recovery of hydraulic conductance, 64
desiccation-tolerant seeds, or rhizomes may allow them to prioritise towards a more efficient 65
but vulnerable water transport system while avoiding the severe effects that water stress 66
poses on woody species. 67
68
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Introduction 69
The resistance of terrestrial plant species to water stress is an important determinant of their 70
spatial distribution (Engelbrecht et al., 2007), and in a globally changing climate, resistance 71
to water stress induced damage to the water transport system is an essential parameter for 72
the prediction of species survival and future changes in biodiversity and species composition. 73
The hydraulic vulnerability to drought-induced embolism in woody species is adjusted to their 74
environmental conditions on a global scale (Choat et al., 2012), but increased hydraulic 75
safety entails several tradeoffs, such as transport efficiency, as plants can reduce the risk of 76
hydraulic failure by formation of smaller and hydraulically less efficient conduits (e.g. Tyree et 77
al., 1994; Wagner et al., 1998, Gleason et al., 2015). 78
While many studies have dealt with the hydraulics of woody species (see e.g. Maherali et al., 79
2004; Choat et al., 2012), hydraulic characteristics of small herbaceous species are largely 80
understudied and our knowledge regarding their water transport system including 81
vulnerability to drought-induced loss of conductivity remains very limited (e.g. Iovi et al., 82
2009; Kocacinar and Sage, 2003; Brodribb and Holbrook, 2004; Holloway-Phillips and 83
Brodribb, 2011a; Tixier et al., 2013). Yet herbs play an important ecological role in many 84
biomes such as grasslands or the alpine zone (e.g. Billings and Mooney, 1968; Gilliam, 85
2007; Scholz et al., 2010) and represent a significant percentage of crop plants (Monfreda et 86
al., 2008), and are therefore interesting from an eco-physiological viewpoint. 87
The requirements to the water transport system of herbs differ in several ways from those of 88
woody species (Mencuccini, 2003). Firstly, transport distances and supported leaf areas are 89
much smaller in herbs and reversible extra-xylary limitations (Brodribb and Holbrook, 2005; 90
Kim and Steudle, 2007) may have a stronger effect on hydraulic conductivity. Secondly, 91
herbs often don’t feature an essential, lignified main axis designed for long-term functioning, 92
in which hydraulic failure may mean whole-plant mortality. Thirdly, small plants may more 93
easily restore water transport capacity in case of embolism formation, because, due to 94
smaller size, a water potential (Ψ) at or near zero can be reached quickly under favourable 95
conditions due to positive root pressure (e.g. Tyree and Sperry, 1989; Tyree and Ewers, 96
1991; Stiller and Sperry, 2002; Tyree and Zimmermann, 2002, Ganthaler and Mayr, 2015). 97
Thus, herbs may not be as threatened by drought-induced failure as taller woody species. 98
Hydraulic failure occurs when vulnerability thresholds are exceeded under water stress and 99
the xylem tension is suddenly released as water is replaced by air, effectively blocking water 100
transport in the affected conduits (Tyree and Zimmermann, 2002). Vulnerability to drought-101
induced embolism can thus be analysed hydraulically by measuring decreases in 102
conductance during increasing water stress (e.g. Sperry et al., 1988a; Cochard, 2002; 103
Cochard et al., 2013), by non-invasive imaging of xylem water content (e.g. Choat et al., 104
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2010, Brodersen et al., 2013; Cochard et al., 2015), or indirectly by monitoring of ultrasonic 105
acoustic emissions (UE) which occur during the spontaneous energy release at embolism 106
formation (e.g. Milburn and Johnson, 1966; Mayr and Rosner, 2011; Ponomarenko et al., 107
2014). However, the usability of UE analysis to non-invasively study hydraulic vulnerability 108
remains under discussion (e.g. Sandford and Grace, 1985; Kikuta, 2003; Wolkerstorfer et al., 109
2012; Cochard et al., 2013; Rosner, 2014). 110
On the leaf level, desiccation may induce turgor loss, decreases in mesophyll conductance 111
(Kim and Steudle, 2007, Scoffoni et al., 2014), or cell collapse (Blackman et al., 2010; 112
Holloway-Phillips and Brodribb, 2011a) and limit hydraulic conductance, gas exchange, and 113
thus photosynthesis before embolism occurs. When water stress further increases, living 114
cells may incur damage resulting in tissue and leaf mortality. 115
In this study, we compared key hydraulic features (vulnerability to drought-induced loss of 116
conductance as measured via hydraulic flow and xylem staining, pressure-volume relations, 117
onset of cellular damage) of three species from the genus Ranunculus, which is distributed 118
almost worldwide and contains species adapted to dry and humid habitats, respectively, as 119
well as species with broad ecological amplitude. We hypothesised that herbaceous species 120
would be more vulnerable to water stress than woody species, but would also show inter- 121
and intraspecific adjustment in hydraulic vulnerability based on the water availability of their 122
respective habitats. Namely, the hydraulics of species with narrow ecological amplitude were 123
hypothesised to reflect their respective habitat conditions, and broad-amplitude species 124
should show adequate intraspecific variation to enable growth in dry and humid habitats. 125
126
Materials and Methods 127
Study sites and plant material 128
The study was conducted at three sites in Innsbruck, Austria (47.267° N, 11.393° E), with 129
896.5 mm of precipitation and an average air temperature of 8.5°C in the 30-year-mean 130
(ZAMG, 2002). Three species of Ranunculus, which occur frequently within the study area, 131
were chosen for analysis due to their differing habitat conditions: R. bulbosus is a typical 132
species of dry meadows and nutrient-poor grasslands, and grows up to 15-40 cm tall (Hegi, 133
1974; Fischer et al., 2008). The species dies back to perennial bulb-like corms in July and 134
remains dormant until the following spring (Coles, 1973; Sarukhan, 1974). Sample plants 135
were taken from a south-exposed, non-intensively managed meadow (Hötting). In contrast, 136
R. lanuginosus is found in humid, shaded environments such as riparian forests or gorges, 137
and grows up to 50-70 cm (Hegi, 1974; Fischer et al., 2008). Plants were collected in a small 138
gorge (Sillschlucht) at the south end of the city. The third species, R. acris agg., occurs in a 139
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range of humidity conditions from dry to humid meadows and reaches intermediate heights 140
of 30-60 cm (Hegi, 1974; Polatschek, 2000; Fischer et al., 2008). For this species, a “dry” 141
population co-occurring with the sampled R. bulbosus population and a “humid” population 142
occurring on a separate high-humidity site (Völs) were used for analysis. 143
Soil humidity, species composition, and diurnal variation of stomatal conductance and Ψleaf 144
were recorded on site in late spring and summer (May to August) in two consecutive years. 145
For all other analyses, whole plants including major roots were collected from the field sites 146
between May and August, immediately placed in dark plastic bags to limit water loss, and 147
transported to the laboratory within 30 min. Plants were rehydrated over night with their roots 148
in water and covered with a dark plastic bag. Measurements were made on healthy, fully-149
developed leaves including petioles (pressure-volume relations, leaf hydraulic vulnerability, 150
conductive xylem staining), leaf petioles with intact laminas (acoustic emissions), and leaf 151
discs cut from the leaf laminas (electrolyte leakage). 152
153
Soil humidity 154
Soil humidity was analysed in situ in two years during dry periods with the Hydrosense II Soil 155
Moisture Measurement System (Campbell Scientific Ltd., Shepshed, UK), whereby 156
volumetric soil water content (SWC) was measured 24 h after strong rainfall (SWCfield capacity), 157
and after seven days without rain (SWCdry) in 10 samples per site and date. The relative 158
SWC (SWCrel; % of field capacity) after seven days without rain was calculated as 159
SWCrel = SWCdry
mean (SWCfield capacity)× 100 (1) 160
161
Additionally, we recorded species composition at the three sites and characterized water 162
availability using averaged ecological indicator values (humidity value; Ellenberg et al., 1992; 163
Schaffers and Sykora, 2000). 164
165
Water potential determination 166
Leaf water potential (Ψleaf) was measured with a pressure chamber (Model 1000 Pressure 167
Chamber, PMS Instrument Co., Corvallis, OR, USA) by applying pressure to an excised leaf 168
sealed into the chamber, with the petiole protruding out through a rubber gasket (Scholander 169
et al., 1965). Air pressure inside the chamber was slowly increased until the xylem sap 170
meniscus became visible at the cutting site. 171
172
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Pressure-volume analysis 173
Pressure-volume analyses (Tyree and Hammel, 1972; Bartlett et al., 2012; Sack et al., 2011) 174
were carried out on five leaves per species/population to determine turgor loss point (TLP), 175
osmotic potential at full turgor (Π0), and modulus of elasticity (ε). Leaves were fully saturated 176
before dehydration and regular measurements of Ψleaf and fresh weight. Relative water 177
content (RWC) was calculated from saturated, fresh, and dry weights, and plotted against the 178
inverse of Ψleaf to find the TLP (transition point between the linear and curved portions of the 179
graph), Π0 (negative inverse of the linear graph portion’s intercept with the y-axis), and ε 180
(slope of the curve above and including TLP). Parameters were calculated individually per 181
leaf and then averaged per species/population. 182
183
Leaf hydraulic vulnerability 184
Declines in leaf hydraulic conductance due to increasing desiccation were analysed with a 185
modified non-steady-state leaf rehydration technique (Brodribb and Cochard, 2009; 186
Blackman and Brodribb, 2011) and bench-top dehydration. For 39-45 leaves per 187
species/population, we measured the decay of initial water uptake into the leaf from a small 188
water container placed on a digital balance (CP64, Sartorius, Göttingen, Germany), which 189
was connected to the leaf petiole via hydraulic tubing (see below). 190
At increasing levels of dehydration, plants were equilibrated in dark plastic bags and plant Ψ 191
was determined on two leaves per plant. If Ψ between both leaves differed by 10% or less, 192
the decay of initial flow was measured by excising a third leaf under water (including approx. 193
3 cm of the petiole), immediately connecting the leaf to hydraulic tubing, and covering the 194
leaf with a moist paper towel to prevent transpiration. Thus, hydraulic flow was measured on 195
non-light-acclimated, non-transpiring leaves. Flow rates (kleaf, mmol m-2 s-1 MPa-1) were 196
determined by linear regression of decreasing mass readings (water uptake) during the first 197
10 seconds, and adjusted for temperature and leaf area. Maximum leaf hydraulic 198
conductance (kleaf max) was calculated as the average of five maximum conductances 199
observed per species/population. No cutting artefact (Wheeler et al., 2013) was expected for 200
leaves excised under water (Scoffoni and Sack, 2014). 201
The reparameterized Weibull function (Ogle et al., 2009) was fitted to plots of relative kleaf vs. 202
Ψ using the fitplc package for R v. 3.1.1 (R Core Team, 2014; Duursma, 2014): 203
204
= 1 − 205
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= (2) 206
= − 100 ln 1 − 100
where k is the expected hydraulic conductance at X% loss of conductance, kleaf max is the k at 207
full saturation (i.e. k at 0 MPa), P is the positive-valued Ψ (P = -Ψ), Px is the Ψ at X% loss of 208
conductance, and Sx is the slope of the vulnerability curve at P = Px. Pk50 and Pk88 were 209
defined as the Ψ at 50 and 88% loss of bulk leaf hydraulic conductance, respectively. 210
211
Staining of conducting xylem elements 212
To confirm the observed high levels of leaf hydraulic vulnerability, we stained conducting 213
xylem elements in leaves of R. acris from the dry site. At increasing levels of dehydration, 214
whole plants were equilibrated in dark plastic bags and plant Ψ was determined on one leaf 215
per plant. Two additional leaves of the same plant were excised under water and 216
immediately placed in a beaker containing a) 1% (w/v) Phloxine B (modified after Nardini et 217
al., 2003) to reveal ongoing water transport in the lamina and b) 0.05% (w/v) Safranin 218
(modified after Sperry et al., 1988b) to stain water conducting conduits in the petioles. 219
Samples were exposed to sunlight for about 10 min. Transpiration was favoured by partially 220
removing the cuticle and confirmed with an SC-1 Leaf Porometer (Decagon Devices, 221
Pullman, WA, USA). We analysed images of the lamina taken with a digital camera, and 222
petiole cross sections (approx. 3 cm from the lamina) taken with a light microscope (Olympus 223
BX41; Olympus Austria, Vienna, Austria) and interfaced digital camera (ProgRes CT3, 224
Jenoptik, Jena, Germany). To prevent artefacts by passive dye diffusion, only samples with 225
unstained parenchyma and phloem were used. 226
227
Electrolyte leakage 228
The vulnerability of living tissues to dehydration (Morin et al., 2007; Hu et al., 2010; Vilagrosa 229
et al., 2010; Beikircher et al., 2013) was analysed by bench-top dehydrating plants and 230
comparing the leakage of electrolytes from 52 to 82 leaves per species at increasing levels of 231
dehydration. After Ψ determination, three to ten circular discs (0.6 cm in diameter) were cut 232
from each leaf by use of a cork borer while avoiding major leaf veins. Leaf disks were pooled 233
for each sample leaf, submerged in 15 ml distilled water in individual centrifuge tubes and 234
shaken for 24 h on a horizontal shaker (ST5 Bidimensional shaker, CAT, Staufen, Germany) 235
at 5 °C, followed by electrolytic conductivity measurement at room temperature (after 1 h of 236
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temperature equilibration) using a 4-electrode conductivity sensor (Tetracon 325, WTW, 237
Weilheim, Germany). Samples were then autoclaved at 120 °C for 30 min and shaken over 238
night at room temperature, before final electrolytic conductivity was measured. 239
Relative electrolyte leakage (REL) was calculated as 240
REL = × 100 (3) 241
where C1 and C2 are the initial and final electrolytic conductivities, respectively. REL was 242
then standardised to percentage of cellular lysis by relating each sample’s REL to the REL of 243
the control (RELc; Morin et al., 2007), in this case, samples measured at Ψ ≥ -0.2 MPa: 244
Cellular lysis % = REL RELc RELc× 100 (4) 245
246
Vulnerability thresholds were again calculated by curve-fitting to Eq. (2), where k is the 247
percentage of intact cells (k = 100 - percentage of cellular lysis). The onset of damage to 248
living cells (P12CL) was defined as the Ψ at 12% cellular lysis. 249
250
Diurnal variation of stomatal conductance and Ψleaf 251
We monitored the diurnal progression of stomatal conductance (using an SC-1 Leaf 252
Porometer; Decagon Devices, Pullman WA, USA) and corresponding Ψleaf between sunrise 253
and sunset on one clear, sunny day per species following a period of rainfall. For each data 254
point, stomatal conductance (gs) was measured on the lower leaf side of four to five 255
undamaged, fully developed leaves of different plants, whereas Ψleaf was determined on 256
three undamaged, fully developed leaves of different plants. 257
258
Statistical analyses 259
Data for curve-fitting was pooled per species/population and method before further analysis. 260
Vulnerability thresholds were statistically tested for differences using bootstrapped 261
confidence intervals (CI, n = 999 bootstrap estimates). Other data was normally distributed 262
(QQ-plots, Shapiro-Wilk Test) and tested for differences using Student’s t-Test 263
(homoscedastic data as determined by the robust Brown-Forsythe Levene-type test) or 264
Welch’s Two-Sample t-Test (heteroscedastic data), respectively. All analyses were done in 265
R 3.1.1 (R Core Team, 2014) at a significance level of P < 0.05, whereas P was Bonferroni-266
corrected for multiple comparisons. Values are presented as mean ± standard error (SE) or 267
mean (lower CI, upper CI), respectively. 268
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269
Results 270
Volumetric soil water content (SWC) at field capacity was 40.4% (dry site), 51.0% (humid 271
site: R. acris), and 30.4% (humid site: R. lanuginosus). Relative SWC after seven rain-free 272
days was above 90% at the humid sites and 43 to 58% at the dry site (Tab. I). The low field 273
capacity SWC of the second humid site was due to the soil composition (thin layer of humus 274
and litter on top of gravel substrate), yet the SWC remained constant due to the humid 275
conditions inside the gorge. The reason for a SWCrel ≥ 100% at this site may lie in water 276
seeping through the slope from uphill soils. Ecological indicator values for the study species 277
and co-occurring species at the sampling sites supported the observed differences in water 278
availability: Averaged humidity values were 4.4 at the dry site, and notably higher at 5.5 (R. 279
acris site) and 5.7 (R. lanuginosus site) at the humid sites, respectively (Tab. I). At the dry 280
site, R. bulbosus (humidity index: 3, indicator for dry sites) and R. acris (humidity index: 6, 281
indicator for humid sites but broad amplitude) were accompanied by dry-habitat species such 282
as Bromus erectus, Knautia arvensis, and Lotus corniculatus. In contrast, at the humid sites 283
R. lanuginosus (humidity index: 6) and R. acris were co-occurring with other species typical 284
for moist habitats, including Polygonum bistorta, Rumex conglomeratus, Urtica dioica, and 285
Solanum dulcamara (Table S1). 286
The turgor loss point (TLP) was least negative in R. lanuginosus at a leaf water potential 287
(Ψleaf) of -1.1 ± 0.1 MPa, and was reached at -1.4 ± 0.0 MPa in R. bulbosus, and -1.6 ± 0.1 to 288
-1.7 ± 0.1 MPa in R. acris (Tab. I). The osmotic potential (Π0) followed a similar trend 289
at -0.9 ± 0.1 MPa (R. lanuginosus), -1.3 ± 0.0 MPa (R. bulbosus), and -1.4 ± 0.1 290
to -1.5 ± 0.1 MPa (R. acris), respectively. In contrast, the modulus of elasticity (ε) was lowest 291
(i.e. cells were more elastic) at 9.6 ± 1.9 MPa in R. lanuginosus and 1.5 to 2.5 times higher in 292
the other species (R. bulbosus: 16.7 ± 1.3 MPa; R. acris: 20.4 ± 4.4 to 24.9 ± 3.6 MPa). 293
Maximum whole-leaf hydraulic conductance (kleaf max) was between 23.4 and 28.0 mmol m-2 294
s-1 MPa-1 and did not differ between species (Tab. I). Hydraulically measured Pk50 was least 295
negative in R. lanuginosus (-0.2 MPa) and more negative in R. acris and R. bulbosus (-0.6 to 296
-0.8 MPa; Tab. II, Fig. 1). Similarly, Pk88 were highest in R. lanuginosus (-0.4 MPa) and 297
significantly more negative in the other two species (-1.5 to -3.3 MPa; Tab. II, Fig. 1). 298
Conductive xylem staining in R. acris (dry) showed first notable signs of embolism in minor 299
leaf veins and vascular bundles at -2.0 MPa, with significant losses of even first-order leaf 300
veins by -2.7 MPa (Fig. 2). 301
Significant cellular lysis started at more negative Ψ than Pk50, with P12CL between -1.1 and -302
2.0 MPa (Tab. II, Fig. 3), whereas thresholds for cell damage did not correspond to humidity 303
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conditions. In contrast, the onset of ultrasonic emissions (UE) was observed at less negative 304
Ψ than hydraulic vulnerability thresholds, with peak activity at ≥ -1.1 MPa (Supplemental; 305
Information, Tab. S2, Fig. S2). 306
In situ, species reached minimum Ψleaf (Ψmin) of -0.4 ± 0.1 to -2.2 ± 0.1 MPa, whereby Ψmin 307
was lower at the dry site (Tab. I, Fig. 4). In contrast, stomatal conductance (gs) exhibited 308
considerable variability at more negative Ψ. Maximum stomatal conductance (gs max) was 309
between 492.1 ± 86.1 and 885.0 ± 37.3 mmol m-2 s-1 and did not reflect soil humidity 310
differences between sites (Tab. I, Fig. 4). The progression of Ψleaf and gs in the field 311
(illustrated in Fig. 4 for R. acris) revealed that stomatal conductance was reduced in all 312
species when Ψmin was reached. Theoretical kleaf as calculated from measured Ψleaf and 313
transpiration (E; based on measured gs and climate data from the closest weather station at 314
approx. 3 km distance) agreed well with kleaf predicted from vulnerability curves. However, 315
vapour pressure deficit and transpirational demand were expected to be lower in the lowest 316
canopy layer than calculated here (Wohlfahrt et al., 2010). Both Ψleaf and gs were compared 317
on representative, sunny days, but environmental conditions (wind, prolonged drought 318
stress) may lead to more extreme values. Because of windy (R. bulbosus) or shady 319
conditions (R. lanuginosus, due to its understorey gorge habitat) during in situ measurements 320
(Fig. S1), diurnal variation data for only R. acris was used for further interpretation. 321
322
Discussion 323
We found that all studied species were generally vulnerable to dehydration, but differences 324
between species/populations reflected the humidity conditions of their respective habitats. 325
Sites differed in their water availability, as the relative soil water content (SWCrel) between 326
dry and humid sites differed significantly after only seven days without precipitation. At the 327
dry site, SWCrel decreased to less than 60% of field capacity (FC) after only one rain-free 328
week, whereas the humid sites experienced hardly any reduction in soil humidity. The low 329
SWC at the humid site of R. lanuginosus, which was due to soil composition, was 330
compensated by the humid conditions inside the gorge so that SWCrel did not decrease 331
during the rain-free period. Species composition and ecological indicator values supported 332
the distinction between dry and humid sites (Tab. I, Tab. S1). 333
334
Herb hydraulics 335
Leaf hydraulic conductance (kleaf) is known to vary widely across species and plant functional 336
types, with an average kleaf of 11.5 ± 0.9 mmol m-2 s-1 MPa-1 across 107 woody and 337
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herbaceous species, and individual species ranging between 0.8 and 49.0 mmol m-2 s-1 338
MPa-1 (Sack and Holbrook, 2006). Leaf hydraulic efficiency in herbaceous crops was above 339
average at 24.1 ± 2.2 mmol m-2 s-1 MPa-1 (Sack and Holbrook, 2006), and other, non-340
cultivated herbaceous angiosperms in the literature were between 2.7 and 22.0 mmol m-2 s-1 341
MPa-1 (Brodribb and Holbrook, 2004; Bunce, 2006; Galmes et al., 2007). Our study species 342
were within the range known for herbaceous plants, and therefore showed much higher 343
hydraulic efficiency than woody species (Tab. I, Fig. 1). 344
Leaf hydraulic vulnerability studies on small herbaceous species found 50 % reduction in kleaf 345
between -1.0 MPa and -1.8 MPa (perennial grasses; Brodribb and Holbrook, 2004; Holloway-346
Phillips and Brodribb, 2011a; also see Holloway-Phillips and Brodribb, 2011b). Woody 347
species generally feature leaves that are less vulnerable to water stress, with an average 348
Pk50 of -1.8 ± 0.1 MPa across 81 woody angiosperm species when measured with 349
comparable methods (compiled in Nolf et al., 2015). Although some of these species also 350
had very vulnerable leaves at Pk50 ≥ -1 MPa (e.g. Hao et al., 2008; Chen et al., 2009; 351
Blackman et al., 2012; Guyot et al., 2012), the majority of previously studied species 352
exhibited Pk50 of ≤ -1.5 MPa and down to -4.3 MPa (e.g. Sack and Holbrook, 2006; Blackman 353
et al., 2010; Johnson et al., 2012; Nardini et al., 2012; Bucci et al., 2013). Accordingly, stems 354
were typically also more vulnerable to drought-induced hydraulic failure in herbs (-1.0 to -3.8 355
MPa; e.g. Kocacinar and Sage, 2003; Rosenthal et al., 2010; Tixier et al., 2013; Nolf et al., 356
2014) than in woody species (-0.1 to -14.1 MPa, -3.4 ± 0.1 MPa across 480 species; Choat 357
et al., 2012). 358
Leaf hydraulic analysis in our study showed that all three Ranunculus species were very 359
vulnerable to water stress, with Pk50 ≥ -0.8 MPa in leaf hydraulic conductance across all 360
species (Tab. II, Fig. 1). However, xylem staining indicated that early hydraulic conductivity 361
losses at moderate Ψ were due to extra-xylary, likely reversible, effects rather than xylem 362
embolism. Stained petiole sections and leaves revealed loss of conductivity due to embolism 363
and suggested an estimated xylem P50 (50 % loss of xylem hydraulic conductivity due to 364
embolism) of ≤ -2 MPa in R. acris (dry) (Fig. 2). Thus, despite the fact that plants were still 365
very vulnerable to drought, it is important to stress that the employed leaf hydraulics method 366
measured bulk hydraulic conductivity including both xylary and extra-xylary (e.g. mesophyll) 367
pathways and reflected the total effect on symplastic and apoplastic transport. Interestingly, 368
stained cross-sections also indicated an all-or-nothing effect, where in most cases, individual 369
vascular bundles lost all conductivity at once (Fig. 2C). 370
Compared to staining results, ultrasonic activity was observed at much less negative Ψ than 371
expected (Tab. S2, Fig. S2). We believe that other signal sources unrelated to water 372
transport (e.g. parenchyma and sclerenchyma) were responsible for a considerable portion 373
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14
of emissions, skewing acoustic analysis. Thus, interpretation of UE analyses on herbs is 374
difficult and requires further methodical optimisation. 375
With daily minimum leaf water potential (Ψmin) being 0.3 to 1.4 MPa lower than Pk50, at least 376
two of our species would incur significant water transport reduction during the course of the 377
day (Tab. I and Tab. II; Stiller et al., 2003), limiting transpiration and thus, according to Ohm’s 378
law, preventing a further decrease of Ψ. However, the staining experiment suggests that 379
embolism only plays a minor role in hydraulic decline at the observed in situ water potentials 380
(Fig. 2) and water transport is therefore mainly limited by reversible extra-xylary effects (e.g. 381
turgor loss or cell collapse and associated mesophyll conductance losses; Brodribb and 382
Holbrook, 2005; Kim and Steudle, 2007; Blackman et al., 2010; Holloway-Phillips and 383
Brodribb, 2011a; Scoffoni et al., 2014). 384
Like significant hydraulic transport reductions, the turgor loss point (TLP) is another critical 385
point plants need to avoid so they can maintain photosynthesis, transport of solutes, and 386
growth (e.g. Frensch and Hsiao, 1994; Kramer and Boyer, 1995; Brodribb and Holbrook, 387
2003; Bartlett et al., 2012). In our study species, the TLP was lower than hydraulic K50 , 388
indicating that all studied species would face notable reductions in transport capacity under 389
limited water supply before leaves would lose turgor (Tab. I and Tab. II). This indicates that 390
impairment of whole-leaf water transport is the first critical event during water stress. 391
Pressure-volume analysis revealed that TLPs in this study were mainly determined by the 392
osmotic potential (Π0), whereas a mediating, opposite effect caused by the observed trends 393
in bulk elasticity was small. Only in R. lanuginosus, the high elasticity may have 394
compensated for the species’ weak water-holding capability (high Π0) to longer maintain 395
turgor. 396
Electrolyte leakage analysis showed that desiccation-induced damage to living cells (P12CL) 397
would only begin long after significant hydraulic decline (Pk50, Tab. II, Fig. 1 and Fig. 3). Since 398
leaves were bench-top dehydrated for up to several hours, we would even expect a higher 399
apparent vulnerability due to continuous exposure to low Ψ on these measurements, 400
compared to shorter in situ stress peaks followed by stomatal regulation and Ψ recovery. 401
Thus, living cells were well protected from desiccation-induced cell damage, as found 402
previously by other authors (e.g. Vilagrosa et al., 2010; Beikircher et al., 2013). Interestingly, 403
plants from dry habitats did not appear more resistant to cell damage than plants from humid 404
sites (Tab. II, Fig. 3). While we only sampled fully developed, mature leaves, we do note that 405
R. bulbosus required measurement one to two months earlier than other species due to their 406
summer dormancy (see Study sites and plant material). 407
408
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15
Interspecific differences 409
Study species with narrow ecological amplitude (R. bulbosus, R. lanuginosus) showed 410
significant differences in some hydraulic key parameters (TLP, Pk50, and Pk88) which were 411
correlated with their respective soil humidity conditions. The corresponding trend in daily Ψmin 412
further indicated that Ψleaf was regulated near Pk88 in both species. In contrast, maximum leaf 413
hydraulic conductance (kleaf
max), maximum stomatal conductance (daily gs max), and 414
vulnerability of living cells (P12CL) revealed no corresponding trend, which suggests that these 415
parameters are more evolutionarily conserved. 416
The hydraulics of R. acris with its broad ecological amplitude showed characteristics closer 417
to the drought-adapted species (e.g. Pk50, Pk88; see Tab. II) regarding hydraulic 418
measurements, and did not reveal the intermediate values we expected. The fact that Pk50, 419
Pk88 and P12CL were more negative in R. acris than in R. bulbosus may suggest that although 420
R. acris also occurs frequently in humid sites, it is generally well-adapted for dry habitats. 421
Another possible explanation is that, by dying back to perennial tubers in early summer, R. 422
bulbosus effectively avoids periods of intense water stress in summer and autumn (Coles, 423
1973; Sarukhan, 1974, Larcher, 1995). 424
425
Intraspecific acclimation 426
Within-species variation in hydraulic parameters was previously found for woody (e.g. 427
Matzner et al., 2001; Cochard et al., 2007; Beikircher and Mayr, 2009; Charra-Vaskou et al., 428
2012) and herbaceous species (Holste et al., 2006; Tixier et al., 2013; Nolf et al., 2014). R. 429
acris was chosen for its wide distribution and broad ecological amplitude, and showed trends 430
for intraspecific variation. While most of the species’ hydraulic traits indicated adjustment to 431
dry habitats when compared to other species (Tab. I, Tab. II, Fig. 1, Fig. 3, Fig. 4), plants 432
from the dry site tended to have more negative vulnerability thresholds (Pk50, Pk88), TLP, and 433
daily Ψmin than conspecific plants from the humid site. Thus we suggest that intraspecific 434
variability in hydraulic parameters of R. acris allows the species to retain fitness over a range 435
of humidity conditions (Rejmanek, 1999), and is a major factor determining its wide 436
distribution as found for other herbaceous species (e.g. Hao et al., 2013; Nolf et al., 2014). 437
Interestingly, the onset of desiccation-induced cellular damage (P12CL; Tab. II, Fig. 3) was 438
constant across sites, indicating that this parameter was not subject to adjustment. 439
440
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16
Conclusion 441
Overall, all of our study species were very vulnerable to water stress, even R. bulbosus, 442
which is a typical species of dry meadows. However, the first effect of drought in these 443
species was found to be a loss of whole-leaf hydraulic conductance at moderate Ψ based on 444
extra-xylary pathways rather than embolism formation. This may be an effective, easily 445
reversible way for plants to avoid critical decreases in Ψ and subsequent hydraulic failure. 446
Yet, also in these herbs, differences in vulnerability to water stress were observed on inter- 447
and intraspecific levels: In narrow-amplitude species, some key hydraulic parameters were 448
correlated to the humidity conditions of their respective habitats (TLP, daily Ψmin, Pk50, Pk88), 449
while other parameters (kleaf max, gs max, P12CL) did not reveal such trends. In contrast, the 450
broad-amplitude species showed correlations or trends in intraspecific adjustment to different 451
habitat conditions. Due to the ecological importance of herbaceous species in many 452
ecosystems, better knowledge regarding their hydraulics will be essential to improve 453
evaluations of water stress vulnerability on vegetation- and ecosystem levels. 454
455
Supplemental Materials 456
The following supplemental materials are available. 457
Supplemental Table S1: Species composition and corresponding ecological indicator values 458
(humidity value; Ellenberg et al., 2012) at the dry site (R. bulbosus, R. acris), humid R. acris 459
site, and humid R. lanuginosus site, respectively. 460
Supplemental Table S2: Water potential at 50 and 88% of total cumulative ultrasonic 461
emissions above -3 MPa (P50UE and P88UE; MPa). Thresholds computed after fitting the 462
reparameterized Weibull function (Ogle et al., 2009) to vulnerability curves. Mean and 95% 463
confidence intervals. Letters indicate significant differences in each row (P < 0.05). 464
Supplemental Figure S1: Diurnal variation of water potential (MPa; closed circles, solid black 465
lines) and stomatal conductance (mmol m-2 s-1; open circles, dashed red lines) in R. bulbosus 466
and R. lanuginosus. Vertical line (dashed) indicates meteorological dawn, yellow boxes 467
indicate direct sunlight. Mean ± SE. 468
Supplemental Figure S2: Relative cumulative ultrasonic emissions (UE; % of total number of 469
recorded UE above -3 MPa) vs. water potential in Ranunculus bulbosus, R. lanuginosus, and 470
dry and humid R. acris populations. Vertical lines indicate fitted hydraulic parameters P50UE 471
(solid) and P88UE (dashed). Curves were extrapolated using the same equation and 472
parameters used for vulnerability curves (Eq. (2)). 473
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17
Supplemental Text: Description of Method for Ultrasonic Emission analysis 474
475
Acknowledgements 476
We thank Dr. Georg Wohlfahrt for providing valuable microclimate data and Mag. Birgit 477
Dämon for excellent technical assistance. 478
479
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18
Figure Legends 480
Fig. 1: Leaf hydraulic conductance vs. water potential in Ranunculus bulbosus, R. 481
lanuginosus, and dry and humid R. acris populations measured with the rehydration 482
technique. Vertical lines indicate fitted hydraulic vulnerability parameters Pk50 (solid) and Pk88 483
(dashed). Curves were extrapolated using the same equation and parameters used for 484
vulnerability curves (Eq. (2)). 485
486
Fig. 2: Stained leaf laminas and petiole cross sections of R. acris (dry) indicating loss of 487
hydraulic conductance at increasing levels of dehydration. Conducting elements appear red 488
while embolised conduits remain unstained. A: leaf lamina underside and petiole (bar = 20 489
mm), B: leaf lamina detail (bar = 5 mm), C: petiole cross section approx. 3 cm from the 490
lamina (bar = 200 µm), D: vascular bundle detail from cross section (bar = 50 µm). 491
492
Fig. 3: Cellular lysis (% of maximum after autoclaving) vs. water potential in Ranunculus 493
bulbosus, R. lanuginosus, and dry and humid R. acris populations. Vertical line (dashed) 494
indicates the onset of damage to living cells (P12CL). Curves were extrapolated using the 495
same equation and parameters used for vulnerability curves (Eq. (2)). 496
497
Fig. 4: Diurnal variation of water potential (MPa; closed circles, solid black lines) and 498
stomatal conductance (mmol m-2 s-1; open circles, dashed red lines) in R. acris populations 499
on dry and humid sites. Vertical line (dashed) indicates meteorological dawn, yellow boxes 500
indicate direct sunlight. Mean ± SE. 501
502
Fig. S1: Diurnal variation of water potential (MPa; closed circles, solid black lines) and 503
stomatal conductance (mmol m-2 s-1; open circles, dashed red lines) in R. bulbosus and R. 504
lanuginosus. Vertical line (dashed) indicates meteorological dawn, yellow boxes indicate 505
direct sunlight. Mean ± SE. 506
507
Fig. S2: Relative cumulative ultrasonic emissions (UE; % of total number of recorded UE 508
above -3 MPa) vs. water potential in Ranunculus bulbosus, R. lanuginosus, and dry and 509
humid R. acris populations. Vertical lines indicate fitted hydraulic parameters P50UE (solid) 510
and P88UE (dashed). Curves were extrapolated using the same equation and parameters 511
used for vulnerability curves (Eq. (2)). 512
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19
Tables 513
Tab. I: Relative soil water content (SWCrel; % of SWC at field capacity after seven days 514
without rain, measured in summer 2014 and 2015; n = 10), averaged humidity value (n = 10-515
13), maximum leaf hydraulic conductance (kleaf max; mmol m-2 s-1 MPa-1; n = 5), turgor loss 516
point (TLP; MPa; n = 5), diurnal minimum leaf water potential (Ψmin; MPa; n = 3; see Fig. 4, 517
Fig S1), and diurnal maximum stomatal conductance (gs max; mmol m-2 s-1; n = 5; see Fig. 4, 518
Fig S1). Mean ± SE. Letters indicate significant differences in each row (P < 0.05). 519
Species SWCrel 2014 SWCrel 2015 Humidity
value TLP kleaf max Ψmin gs max
R. bulbosus
(dry)
57.57 ±
4.03a
43.29 ±
2.42a
4.40 ±
0.34a
-1.43 ±
0.02a
28.00 ±
0.78a
-1.70 ±
0.03a
537.7 ±
105.3a
R.
lanuginosus
(humid)
102.72 ±
6.14b
98.34 ±
2.31b
5.69 ±
0.26b
-1.14 ±
0.05b
27.77 ±
1.12a
-0.42 ±
0.12b
492.1 ±
86.1a
R. acris
(dry)
57.57 ±
4.03a
43.29 ±
2.42a
4.40 ±
0.34a
-1.72 ±
0.08c
23.40 ±
0.42a
-2.20 ±
0.06c
756.6 ±
195.9a
R. acris
(humid)
93.40 ±
1.87b
90.59 ±
1.30c
5.50 ±
0.23b
-1.63 ±
0.05ac
24.06 ±
0.78a
-1.48 ±
0.15a
885.0 ±
37.3a
520
521
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20
Tab. II: Water potential at 50 and 88% loss of leaf hydraulic conductance (Pk50 and Pk88; 522 MPa), and 12% of cellular lysis (P12CL; MPa). Thresholds computed after fitting the 523 reparameterized Weibull function (Ogle et al., 2009) to vulnerability curves. Mean and 95% 524 confidence intervals. Letters indicate significant differences in each row (P < 0.05). 525
Species Leaf rehydration Electrolyte leakage
Pk50 Pk88 P12CL
R. bulbosus
(dry) -0.57 (-0.63, -0.48)a -1.53 (<-1.55, -1.31)a -1.11 (-1.53, -0.84)a
R. lanuginosus
(humid) -0.15 (-0.19, -0.10)b -0.44 (-0.60, -0.35)b -1.16 (-1.47, -0.88)a
R. acris
(dry) -0.82 (-1.08, -0.54)a -3.27 (<-3.27, -2.64)c -2.02 (-2.43, -1.64)b
R. acris
(humid) -0.73 (-0.93, -0.50)a -2.84 (<-3.15, -2.25)c -2.02 (-2.29, -1.62)b
526
527
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21
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−3 −2 −1 0
0
10
20
30
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30R. bulbosus
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20
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0
10
20
30
R. lanuginosus
0
10
20
30
0
10
20
30R. acris (dry)
−3 −2 −1 00
10
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0
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R. acris (humid)
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−4 −3 −2 −1 0
0
20
40
60
80
0
20
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60
80
R. bulbosus (dry)
0
20
40
60
80
0
20
40
60
80
R. lanuginosus (humid)
0
20
40
60
80
0
20
40
60
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R. acris (dry)
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0
20
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lula
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0
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