Relationships between C3 plant foliar carbon isotope composition and element contents of grassland species at high altitudes on the Qinghai-Tibet Plateau, China.

Relationships of foliar carbon isotope composition (δ(13)C) with foliar C, N, P, K, Ca, Mg contents and their ratios of 219 C3 species leaf samples, obtained in August in 2004 to 2007 from 82 high altitude grassland sites on the Qinghai-Tibet Plateau China, were examined. This was done with reference to the proposition that foliar δ(13)C increases with altitude and separately for the life-form groups of graminoids, forbs and shrubs and for the genera Stipa and Kobresia. For all samples, foliar δ(13)C was negatively related to foliar K, P and ∑K+ Ca+ Mg, and positively correlated to foliar C, C/N and C/P. The significance of these correlations differed for the taxonomic and life-form groups. Lack of a relationship of foliar δ(13)C with foliar N was inconsistent with the majority of studies that have shown foliar δ(13)C to be positively related to foliar N due to a decrease of Ci/Ca (the ratio between intercellular and atmospheric concentration of CO2) and explained as a result of greater photosynthetic capacity at higher foliar N concentration. However this inconsistency relates to other high altitude studies that have found that photosynthetic capacity remains constant as foliar N increases. After accounting for the altitudinal relationship with foliar δ(13)C, of the elements only the K effect was significant and was most strongly expressed for Kobresia. It is concluded that factors critical to plant survival and growth at very high altitudes, such as low atmospheric pressure and low temperatures, may preclude expression of relationships between foliar δ(13)C and foliar elements that have been observed at lower altitudes.

Introduction

In the last 20 years, determination of foliar carbon isotope compn>osition (δpan class="Chemical">13C) has been a powerful tool in plant ecophysiological studies [1]. Foliar δ13C is related to the Ci/Ca ratio (the ratio between intercellular and atmospheric concentration of CO2) [2], and Ci/Ca is determined by the balance between stomatal conductance (gs) and photosynthetic capacity (A) [3], so environmental factors may cause change of δ13C through their effect on A or gs. Thus, much effort has been directed towards investigating the relationships between δ13C and environmental factors [4]–[8].

Compared with a mass of systemic research on correlations of δ13C with various environmental factors, fewer studies have been made of relationships between δpan class="Chemical">13C and biotic factors, such as leaf nutrient concentration. Nevertheless, some leaf nutrients are related to gs or A, so they may be also related to δ13C. For example, nitrogen (N) is an essential nutrient that has important roles related to plant growth, and its positive correlation with photosynthetic rates and chlorophyll pigment content have been reported [9]–[14]. Phosphorus (P) is associated with photosynthesis indirectly through the effects of orthophosphate on Calvin cycle enzymes [15]. Other nutrients, e.g., potassium (K), calcium (Ca), and magnesium (Mg), influence photosynthetic capacity and/or stomatal conductance in several ways, e.g., K is found to play a crucial role in regulation of stomatal function, osmoregulation, enzyme activity and cell expansion [16]–[18]. Ca is important in the regulation of water loss and stomatal closure [19], [20]. Mg, which occupies the center of the porphyrin nucleus of the chlorophyll molecule, has an important function in activating enzymes related to the synthesis of protein, RNA and DNA [21]. In addition, a negative correlation between ash content and δ13C has been widely observed [22]–[27]. This is because minerals are mostly passively transported in plant organs via the xylem flux and accumulated in place, so a plant that needs more water for the same biomass accumulation (lower δ13C) would be proportionally richer in minerals (higher ash content). Conversely, carbon (C) content should be positively correlated to δ13C [28], because if the leaf ash content is high, the leaf C content is low.

Previous investigations of relationships between nutrient elements and δ13C have mostly focused on K and N [22], [28]–[33]. This is because leaf K concentration has been proposed as a surrogate of δpan class="Chemical">13C and N is the closest positive relative to photosynthesis [30], [34], [35]. In general, foliar δ13C is negatively related to foliar K and positively related to foliar N [28], [29], [32], [33]. These results were predicated on the basis that K is mainly passively transported in plant organs via the xylem flux and that plants with high foliar N content have high photosynthetic capacity. However, as K plays key roles in regulating stomatal movement, higher foliar K concentration could cause higher stomatal sensitivity to water stress and lower stomatal conductance (higher δ13C), and some research has found positive relationship between foliar K and foliar δ13C [22], [31]. In addition, Cordell et al. [36] found that photosynthetic capacity remains constant with increases of foliar N at high altitudes, suggesting that foliar δ13C is not positively related to foliar N in these areas.

Investigating the relationships between foliar δpan class="Chemical">13C and C/N, C/P and N/P for various species and conditions, especially in extreme environments, such as very high altitudes, could have impn>ortant impn>lications for ecosystem analysis, because it links plant C/N/P stoichiometry with plant transpiration, and therefore integrates pan class="Chemical">carbon, nutrient and hydrological cycles. Cernusak et al. [37] observed a positive correlation between leaf N/P ratio and WUE (δ13C). However, the species and environmental conditions involved in that study were limited and further testing of the relationship between the leaf N/P ratio and WUE is needed for more species and environmental conditions.

There have been few studies on nutrient elements-foliar δpan class="Chemical">13C relationshipn>s conducted in the very extensive high altitude environment of the Qinghai-Tibet Plateau, China. Moreover, research on nutrient elements-δpan class="Chemical">13C relationships has mostly involved trees [28], [32], [38] and crops [23], [26], [39], and has seldom involved species of natural grasslands [35]. Recent studies have indicated the dominating influence of altitude related factors on foliar δ13C, and emphasized atmospheric pressure related effects rather than those of temperature and water availability effects [7], [8]. Therefore it is important to account for altitude related effects when investigating relationships between foliar elements and foliar δ13C.

The objectives of this study for specified taxonomic plant groups were (1) to investigate relationships between foliar δ13C and foliar C, N, P, K, Ca and pan class="Chemical">Mg, (2) to investigate relationships between foliar δ13C and nutrient ratios, i.e., C/N, C/P and N/P, as these nutrient ratios are also important plant ecophysiological measures which can provide important information about nutrient limitations to primary productivity [37], [40], (3) to consider whether relationships that have been previously indicated between foliar δ13C and leaf elements are subsidiary or coincidental to the reduction of discrimination against 13C fixation by plants that occurs with increased altitude, and (4) to specifically examine whether the relationships between foliar δ13C and foliar N and K for plants growing in high altitude environments are different from the general relationships previously shown between these characters.

Materials and Methods

Study area

Plant samples were obtained from natural grasslands at 82 sites on the Qinghai-Tibet Plateau, southwest China (Figure 1) within an area of about 1400×650 km2, extending for ∼20° of longitude from 84.34° to 101.01° E, ∼10° latitude from 28.89° to 38.18° N, and altitudes from 2954 to 5269 m a.s.l. Atmospheric pressures in the altitude range vary from 71.1 to 53.3 kpa, equivalent to 70.2% and 52.6% of the atmospheric pressure at sea level. According to Chinese law, ownership of the grasslands of China belongs to all the pan class="Species">people of China. Consequently herdsmen have grassland-use rights but not ownershipn>. Our field work was permitted and assisted by local government agencies particularly the Animal Husbandry Bureau and Grassland Management Station of Qinghai and Tibet provinces. We also obtained the permission and helpn> of local herdsmen.

Figure 1

Locations of the 82 sampling sites on the Qinghai-Tibetan Plateau, China.

The Qinghai-Tibet Plateau is the highest plateau in the world with an average elevation of about 4500 m. It is a critically important catchment including the headwaters of the Yangtze, Yellow (Huang He) and Lantsang (Mekong) rivers. The Plateau's climate is warm and humid in summer and cold and dry in winter. Mean annual precipitation (MAP) ranges from 100 mm to 800 mm, and mean annual tempn>erature (pan class="Disease">MAT) is mostly in the range from −5.8 to 3.7°C but extends up to 12°C. Relationships between foliar δ13C and MAP and MAT in the region were considered in a previous study and found to be secondary to relationships with altitude related atmospheric pressure [7]. In this paper the focus is on relationships between foliar δ13C and leaf element contents.

pan class="Species">Alpine meadow and pan class="Species">alpine steppe are the main grassland types and the sedges Kobresia pygmaea, Kobresia tibetica, and Kobresia humilis, the grass Stipa purpurea, and the shrub Dassiphora fruticosa are typical dominant species. Soils are simple zonal types with alpine cold desert soil, alpine steppe soil and meadow soil the most widespread. There are also scattered areas of saline soil, alkali soil, sandy soil, takyr and other soils.

Sampling

Samples were obtained from actively growing plants in August in 2004 to 2007. The plant species sampled were common, dominant and widespread. To minimize influences of complicating factors (such as grazing) on measurements, the sites sampled were representative of the natural grassland communities of the region and were protected by fences, not grazed, and not close to pan class="Species">human habitation. The sites were sepn>arated from each other by about 50 km and the geograpn>hic position of each was recorded using a Magellan GPS (Garmin, Kansas, USA). At each site, sampn>les were obtained from the dominant species, with five to 20 individual plants randomly sampn>led for each species. Each sampn>led species at each site was bulked together in an envelope as one sampn>le and transported for laboratory analysis. A total of 219 C3 species leaf sampn>les repn>resenting 55 genera in 19 families were obtained from the 82 sites.

Leaf nutrient element concentration and stable carbon isotope analysis

Leaf nutrient element concentration and stable carbon pan class="Disease">isotope determinations were made for the 219 species leaf samples at the central physicochemical laboratory of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing. Depending on leaf size, three to 20 leaves (mostly five) from at least three different adult individual plants were selected for each species sample for each site. Leaves were washed with distilled water and air-dried, then oven-dried at 80°C for 48 h, before grinding to fine powder for analysis. 13C/12C ratio and total concentrations of nitrogen (N) and organic carbon (C) were determined by an isotope mass spectrometer (Thermo, MAT-253). Carbon isotope composition δ13C (‰) in leaf samples was calculated as:

Where pan class="Chemical">Rsample and pan class="Chemical">Rstandard respectively are the 13C/12C ratio in the leaf and the standard. The universally accepted standard of Pee Dee Belemnite (PDB) was used. The precision of isotope composition measurement was 0.1‰.

Leaf powder was digested by concentrated pan class="Chemical">nitric acid and pan class="Chemical">perchloric acid and then extracted solutions were determined for total concentrations of P, K, Ca and Mg on an Inductively Coupled Plasma Optical Emission Spectrometer (PerkinElmer, Optima 5300DV).

Data analysis

Data analyses were conducted using SPSS (ver.18.0; SPSS Inc., USA). Simple correlation and regression analysis was applied to investigate relationships between foliar nutrient concentrations and both altitude and foliar δ13C using the values for the 219 species leaf sampn>les and also for data extracted for the genera pan class="Species">Kobresia and Stipa. To explore whether these relationships are general for different life-forms of C3 plants, species were categorized into the life-form groups of graminoids (grasses and sedges), forbs (herbaceous species other than graminoids), and shrubs. Multiple regressions were applied to determine if relationships between foliar elements and foliar δ13C remained significant after the altitudinal effect (combination of atmospheric pressure, precipitation, and thermal gradient effects) was accounted for. The data for multiple regressions were standardized in order to give equal weighting to the variables of N, P, K, and altitude.

Results

Correlations between foliar element and ratios

Correlations between site leaf elements contents and ratios showed that K, Ca, pan class="Chemical">Mg and their sum were negatively correlated with C and were positively correlated with each other and with N and P. N and P were positively correlated but C was not correlated with either N or P. The C/N ratio showed negative correlations with P, K, Ca and pan class="Chemical">Mg, and the C/P ratio with N, K, and Mg. The N/P ratio showed a weak positive correlation with C, a negative correlation with K and no correlation with Ca or Mg. ∑K+ Ca+ Mg was negatively correlated with the C/N and C/P ratios but not with the N/P ratios (Table 1).

Table 1

Correlations (r) between foliar elements and ratios of C3 species sampled from 82 sites on the Qinghai-Tibet Plateau, China.

	N	P	K	Ca	Mg	C/N	C/P	N/P	∑K+Ca+Mg
C	0.041ns	−0.117ns	−0.184**	−0.267***	−0.268***	-	-	0.158*	−0.287***
N		0.517***	0.416***	0.355***	0.547***	-	−0.416***	-	0.510***
P			0.612***	0.246***	0.535***	−0.355***	−	-	0.565***
K				0.251***	0.493***	−0.378***	−0.243***	−0.432***	-
Ca					0.644***	−0.209**	−0.095ns	0.071ns	-
Mg						−0.416***	−0.397***	−0.101ns	-
C/N							-	-	−0.389***
C/P								-	−0.355***
N/P									−0.119ns

∑K+ Ca+ Mg, sum of the K, Ca and Mg concentrations in leaves. C/N, the ratio of foliar C concentration to N concentration; C/P, the ratio of foliar C concentration to P concentration; N/P, the ratio of foliar N concentration to P concentration.

“−”correlation rejected because of functional connection; ***, P<0.001; **, P<0.01; *, P<0.05; ns, not significant.

∑pan class="Chemical">K+ Ca+ Mg, sum of the K, Ca and pan class="Chemical">Mg concentrations in leaves. C/N, the ratio of foliar C concentration to N concentration; C/P, the ratio of foliar C concentration to P concentration; N/P, the ratio of foliar N concentration to P concentration.

Correlations between altitude and leaf element concentrations

Altitudinal environmental gradients are the combination of atmospheric pressure, precipitation, and thermal gradient effects. Over the same set of sample sites, we found that foliar δ13C generally increased with altitude on the Qinghai-Tibet Plateau, China [7]. Investigating altitudinal patterns of foliar nutrient elements for taxonomic and life form groups of species (Table 2) in the context of foliar δpan class="Chemical">13C generally increasing with altitude may contribute towards better understanding of relationships between foliar δ13C and foliar nutrient elements. The color coding of the sample points for three ranges of altitude is given to assist visualization of the variation of element contents in relation to altitude (Figures 2, 3, 4, 5).

Table 2

Correlations (r) between foliar elements and altitude of taxonomic and life-form groups of C3 species sampled from 82 sites on the Qinghai-Tibet Plateau, China.

	C	N	P	K	Ca	Mg	C/N	C/P	N/P	∑K+Ca+Mg
All samples	−0.01ns	−0.22**	−0.04ns	−0.27***	0.10ns	−0.13ns	0.23***	0.09ns	−0.06ns	−0.12ns
Kobresia	0.39**	0.40**	0.19ns	−0.27ns	−0.02ns	0.05ns	−0.31*	−0.15ns	−0.04ns	−0.19ns
Stipa	0.14ns	−0.12ns	0.15ns	−0.49**	0.21ns	−0.16ns	0.10ns	−0.03ns	−0.11ns	−0.24ns
Graminoids	0.13ns	−0.04ns	0.10ns	−0.35***	0.22**	−0.10ns	0.11ns	−0.03ns	−0.08ns	−0.13ns
Forbs	−0.27*	−0.46***	−0.25ns	−0.46***	0.26ns	−0.18ns	0.37**	0.24ns	0.01ns	−0.24ns
Shrubs	0.03ns	−0.40ns	−0.57**	−0.34ns	−0.02ns	−0.59**	0.41ns	0.42*	0.03ns	−0.40ns

∑K+ Ca+ Mg, sum of the K, Ca and Mg concentration in leaves; C/N, the ratio of foliar C concentration to N concentration; C/P, the ratio of foliar C concentration to P concentration; N/P, the ratio of foliar N concentration to P concentration.

, P<0.001; **, P<0.01; *, P<0.05; ns, not significant.

Figure 2

Relationships between foliar δ13C and foliar C of C3 plants on the Qinghai-Tibet Plateau, China.

A) all samples, B) graminoids, C) forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

Figure 3

Relationships between foliar δ13C and foliar N of C3 plants on the Qinghai-Tibet Plateau, China.

A) all samples, B) graminoids, C) forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

Figure 4

Relationships between foliar δ13C and foliar P of C3 plants on the Qinghai-Tibet Plateau, China.

A) all samples, B) graminoids, C) forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

Figure 5

Relationships between foliar δ13C and foliar K of C3 plants on the Qinghai-Tibet Plateau, China.

A) all samples, B) graminoids, C) forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

A) all samples, B) pan class="Chemical">graminoids, C) pan class="Chemical">forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

A) all samples, B) pan class="Chemical">graminoids, C) pan class="Chemical">forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

A) all samples, B) pan class="Chemical">graminoids, C) pan class="Chemical">forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

A) all samples, B) pan class="Chemical">graminoids, C) pan class="Chemical">forbs, D) shrubs, E) Stipa and F) Kobresia. Values for the linear regression (y) and significance (P) are shown for each relationship and the slope of the regression is plotted where it is significant. Solid line for significance at P<0.05, dashed line for significance at P<0.1. Sample points are color coded according to their location in three altitudinal ranges.

∑pan class="Chemical">K+ Ca+ Mg, sum of the K, Ca and pan class="Chemical">Mg concentration in leaves; C/N, the ratio of foliar C concentration to N concentration; C/P, the ratio of foliar C concentration to P concentration; N/P, the ratio of foliar N concentration to P concentration.

The correlations between foliar C and altitude were significantly positive for pan class="Species">Kobresia and negative for pan class="Chemical">forbs. For all samples pooled, foliar N decreased with altitude, this was also the case for forbs, but foliar N increased with altitude for Kobresia. Shrubs showed a decline of foliar P with altitude, otherwise the correlations between P and altitude for other components were not significant. Foliar K decreased with altitude for all components although this correlation was not significant for Kobresia and shrubs. Except for the positive correlation of foliar Ca for graminoids and negative correlation of Mg for shrubs, Ca, Mg and ∑K+Ca+Mg were not significantly correlated with altitude. Foliar C/N increased with altitude for all samples and forbs, but decreased for Kobresia. Except for shrubs which showed a positive correlation of C/P ratio with altitude, there were no significant correlations with altitude for foliar N/P and C/P (Table 2).

Relationships between foliar δ13C and foliar C, N and P

For all samples pooled together, foliar C was positively related to foliar δpan class="Chemical">13C (Figure 2A). This relationshipn> was more strongly defined for pan class="Chemical">graminoids, Stipa and Kobresia (Figure 2B, E and F). The rates of increase of foliar δ13C relative to foliar C for Stipa and Kobresia were higher than that for all samples (P = 0.012). The relationship was marginally significant for shrubs (Figure 2D) and not significant for forbs (Figure 2C).

There were no significant relationships between foliar δpan class="Chemical">13C and foliar N regardless of life-form, genera or all sampn>les together (Figure 3). For all sampn>les pooled, foliar δpan class="Chemical">13C was negatively related to foliar P (Figure 4A). This trend was indicated for forbs (Figure 4C) but not for the other life form and taxonomic groups (Figure 4B, D, E, and F).

Relationships between foliar δ13C and foliar mineral elements (foliar K, Ca, Mg and ∑K+Ca+Mg)

With the exception of shrubs, foliar K and ∑pan class="Chemical">K+Ca+Mg were negatively correlated with foliar δpan class="Chemical">13C. Significance of the correlation between foliar δ13C and foliar K was stronger than that between foliar δ13C and foliar ∑K+Ca+Mg. Negative correlations between foliar δ13C and both foliar Ca and Mg were indicated for graminoids but not for other species groups (Table 3). Regressions showing the relationships of foliar K with foliar δ13C for the species groups are plotted in Fig. 5.

Table 3

Correlations (r) of foliar δ13C with foliar mineral elements and foliar element ratios of leaf samples from 82 sites on the Qinghai-Tibet Plateau, China.

Species groups	Mineral elements	R	Element ratios	r
All samples	K	−0.32***	C/N	0.25***
	Ca	−0.06ns	N/P	0.03ns
	Mg	−0.10ns	C/P	0.15*
	∑K+Ca+Mg	−0.24***	-	-
Graminoids	K	−0.48***	C/N	0.24**
	Ca	−0.27**	N/P	0.03ns
	Mg	−0.20*	C/P	0.14ns
	∑K+Ca+Mg	−0.49***	-	-
Forbs	K	−0.56***	C/N	0.18ns
	Ca	0.21ns	N/P	0.17ns
	Mg	0.02ns	C/P	0.15ns
	∑K+Ca+Mg	−0.31*	-	-
Shrubs	K	−0.05ns	C/N	0.52*
	Ca	0.27ns	N/P	−0.11ns
	Mg	−0.27ns	C/P	0.29ns
	∑K+Ca+Mg	0.11ns	-	-
Stipa	K	−0.43**	C/N	0.30ns
	Ca	−0.05ns	N/P	0.21ns
	Mg	−0.32ns	C/P	0.40*
	∑K+Ca+Mg	−0.38*	-	-
Kobresia	K	−0.62***	C/N	−0.01ns
	Ca	−0.29ns	N/P	0.03ns
	Mg	−0.04ns	C/P	0.001ns
	∑K+Ca+Mg	−0.57***	-	-

∑K+ Ca+ Mg, sum of the K, Ca and Mg concentrations in leaves. C/N, the ratio of foliar C concentration to N concentration; C/P, the ratio of foliar C concentration to P concentration; N/P, the ratio of foliar N concentration to P concentration.

, P<0.001; **, P<0.01; *, P<0.05; ns, not significant.

∑pan class="Chemical">K+ Ca+ Mg, sum of the K, Ca and pan class="Chemical">Mg concentrations in leaves. C/N, the ratio of foliar C concentration to N concentration; C/P, the ratio of foliar C concentration to P concentration; N/P, the ratio of foliar N concentration to P concentration.

Relationships between foliar δ13C and foliar element ratios (foliar C/N, N/P and C/P)

For all samples pooled, foliar δpan class="Chemical">13C was positively related to foliar C/N and C/P, but the relationshipn> between foliar δpan class="Chemical">13C and foliar N/P was not significant. Foliar δ13C was positively related to foliar C/N for graminoids and shrubs, but not with foliar N/P and C/P. Forbs had no significant relationships between foliar δ13C and the element ratios. Stipa had a significantly positive relationship between foliar δ13C and C/P, but otherwise the correlations for Stipa and Kobresia were not significant (Table 3).

Relationships between foliar δ13C and atmospheric pressure, foliar N, P and K

After the altitudinal relationship with foliar δpan class="Chemical">13C was accounted for, of the foliar elements only K was significantly correlated to δpan class="Chemical">13C for all samples pooled. That was also the case for graminoids, forbs and Kobresia. However, K was not significantly related to δ13C for Stipa and none of the foliar elements were significantly related to δ13C for shrubs, possibly because the sample size for shrubs was small. Significantly, multiple regressions indicated that there were no correlation between foliar δ13C and foliar N irrespective of plant life form or taxonomic groups (Table 4).

Table 4

Multiple regressions between foliar δ13C (y) and altitude (a.s.l.), foliar N, foliar P and foliar K for all samples, graminoids, forbs, shrubs, Kobresia and Stipa.

Groups	a (constant)	bx 1	Standardiz-ed coefficient (beta)	cx 2	Standardiz-ed coefficient (beta)	dx 3	Standardiz-ed coefficient (beta)	ex 4	Standardiz-ed coefficient (beta)	F	P⋅multiple regressi-on
All samples (219)	−28.93***	3.69	0.45***	0.11	0.02ns	−0.07	−0.01ns	−1.07	−0.20**	21.45	***
Graminoids (140)	−27.38***	2.47	0.32***	−0.08	−0.02ns	0.17	0.04ns	−2.03	−0.38***	16.31	***
Forbs (57)	−28.29***	2.97	0.33*	1.22	0.27ns	−0.11	−0.02ns	−2.08	−0.50***	9.07	***
Shrubs (22)	−30.42***	4.45	0.51ns	−0.34	−0.06ns	0.10	0.02ns	0.57	0.13ns	1.40	ns
Kobresia (44)	−30.04***	5.11	0.49**	−0.004	−0.001ns	0.75	0.18ns	−2.08	−0.42*	6.99	***
Stipa (37)	−29.65***	5.56	0.68***	−0.40	−0.06ns	−1.96	−0.38*	0.28	0.05ns	8.31	***

The leaf samples were from 82 sites on the Qinghai-Tibet Plateau, China.

Numbers in brackets are the sample numbers for the groups. The regression model is y = a+bx 1+cx 2+dx 3+ex 4 where y is δ13C⋅(‰) and x 1, x 2, x 3 and x 4 are altitude, foliar N, foliar P and foliar K, respectively.

, P<0.001; **, P<0.01; *, P<0.05; ns, not significant.

Numbers in brackets are the sample numbers for the groups. The regression model is y = a+bx 1+cx 2+dx 3+ex 4 where y is δpan class="Chemical">13C⋅(‰) and x 1, x 2, x 3 and x 4 are altitude, foliar N, foliar P and foliar K, respectively.

Discussion

Relationships between altitude and leaf element concentrations

Considered for all samples foliar C content did not vary in relationship to altitude. While foliar C content of Kobresia increased and that of pan class="Chemical">forbs decreased with altitude, it is not possible to explain the physiological or functional basis of these trends. Based on the assumption that the foliar element contents will reflect the availability of elements in the soil the plants grew in, the general conclusion could be made that the availability of soil N, and more consistently soil K, declined with altitude (Table 2). The same generalization cannot be made for P, Ca or Mg. However from variations of the relationships between altitude and element content for different taxonomic and life form categories it is apparent that factors other than the availability of elements in the soil influenced foliar element contents. The presence of the correlations with altitude raises the possibility of coincidental or spurious relationships of leaf element content to foliar δ13C arising from its well defined link to altitude.

Foliar C. Previous research on foliar δpan class="Chemical">13C-foliar C concentration relationshipn>s is limited [38], but several studies have found foliar δpan class="Chemical">13C to be negatively related to ash content [22], [24]–[26], [41] due to passive accumulation of minerals in the vegetative parts of plants through the transpiration stream [42]. Generally, if ash content is higher, C content will be lower, and our result concur with this as foliar C content was negatively related to foliar K , Ca , Mg and ∑k+Ca+Mg content (Table 1). Consequently there will be positive correlations between foliar δ13C and foliar C content (Figure 2A, E and F). However, the correlation between foliar δ13C and foliar C is not shown for forbs (Figure 2C). The reason for this is not known.

Foliar N. Our finding that there was no significant relationships between foliar δ13C and foliar N (Figure 3) agrees with the results found in high elevation areas by Ares and Fownes [43] and by Chen et al. [44]. However, correlations have been more frequently repn>orted between foliar δpan class="Chemical">13C and leaf N concentration [28], [29], [32], [45]. These results usually build on the assumption that photosynthetic capacity increases with leaf N concentration. In our study for pooled samples, foliar N decreased with altitude (Table 2) a trend in agreement with Cordell et al. [46] who found that foliar N content as a proportion of biomass decreased by about 17% with increasing elevation. The usual trend is that foliar δ13C increases with altitude [4], [8] and this has been shown to be well defined for the region of this study [7]. This may be the reason for no positive relationship between foliar δ13C and leaf N (Figure 3A) and this is confirmed when the altitudinal effect is accounted for (Table 4). Even though, in contrast to the negative relationships for the other groupings of species, foliar N of Kobresia increased with altitude (Table 2), and there was no correlation between foliar δ13C and foliar N for this genus (Figure 3F). Thus another consideration, as indicated by Cordell et al. [36], is that photosynthetic capacity does not increase with increased leaf N concentration in areas of high elevation. Cordell et al. suggested that low temperatures and thicker leaves at high elevations may be partly responsible for nearly constant net assimilation rates across the altitudinal gradient despite the increase in foliar N with elevation. Thick leaves may allocate proportionally less N to photosynthesis than thin leaves, possibly by investing in N-containing secondary compounds for defense against predation or extreme environmental conditions [47]. Moreover, Reich et al [48] found that leaves with higher LMA (thicker leaves) frequently had a flatter slope for the relationship between leaf N and photosynthetic rate (mass-based). These findings show there is considerable variation in the response of fundamental leaf physiological/anatomical relationships to environmental variability, and highlight the need for establishing a rigorous environmental context for understanding such interactions [29].

Foliar P. Although leaf P is related to photosynthetic capacity through its effect on the enzyme Rubisco [49], research relating foliar P to foliar δ13C is limited. Merah [23] found no significant correlation between leaf P concentration and foliar δpan class="Chemical">13C, whereas we found a weak negative relationship between foliar δ13C and foliar P for all samples (Figure 4A), but not for the other groups of species. If this negative relationship is valid, a possible explanation is that the movement of P in the soil to the surfaces of roots where it can be absorbed into the plant partly depends on the mass flow of the soil solution resulting from transpiration by the plant [50], [51]. The finding that foliar P was positively related to foliar K, Ca, Mg and ∑k+Ca+Mg (Table 1) supports this explanation.

Relationship between foliar δ13C and foliar mineral elements

The negative correlations between foliar δpan class="Chemical">13C and foliar K and ∑pan class="Chemical">K+Ca+Mg (Table 3, Fig. 5) agree with the findings of several other studies [33], [42], [52]. These studies have postulated that K is passively accumulated in vegetative tissues by the transpiration stream and that plants that transpire more water per unit of dry matter produced (low δ13C and WUE) have higher concentrations of leaf K. However, other studies have shown positive correlation between foliar δ13C and foliar K [22], [31] and explain this by the key role K has in regulating stomatal movement.

We found that when the altitudinal effect was accounted for in multiple regressions (Table 4), there was significant negative relationship between foliar δ13C and foliar K for pan class="Species">Kobresia but not for Stipa although there were significant negative relationships between foliar δ13C and foliar K for both Kobresia and Stipa in simple regressions (Fig. 5). A possible explanation is that as Kobresia generally occurs in wetter habitats, it is subjected to less water stress than Stipa, a genus typical of drier habitats. Consequently Kobresia can maintain a higher transpiration stream. Thus, the effect of foliar K on regulating stomatal movement is not important for Kobresia and K is accumulated in leaf by the transpiration stream leading to the negative correlation between foliar δ13C and foliar K. By comparison Stipa, in being more frequently subjected to water stress, displays a greater involvement of foliar K in the regulation of stomatal movement. This could offset the negative correlation between foliar δ13C and foliar K due to the accumulation of K in the leaf in the transpiration stream. This result suggests that the effect of foliar K on foliar δ13C is coincidental or spurious for Stipa due to foliar K of Stipa being significantly negatively correlated to altitude (Table 2).

Foliar K showed better correlation than foliar Ca and pan class="Chemical">Mg with foliar δpan class="Chemical">13C, the correlations with Ca and Mg being significant only for graminoids (Table 3). This may be because foliar Ca and Mg concentrations are lower than that of foliar K, and antagonistic effects towards Ca and Mg by other cations (e.g., Na+, K+) counteract the transpiration effect on the accumulation of these cations in leaves. In addition, our results indicated that among the elements measured, K was the most important contributing element in the relationship between mineral content and foliar δ13C, a conclusion supported by Masle et al. [42].

Relationship between foliar δ13C and foliar elemental ratios

With reference to the positive relationship between foliar δ13C and foliar C/N (Table 3), Li et al. [28] repn>orted negative correlation between them and expn>lained this on the basis that plants achieve higher pan class="Chemical">water use efficiency (WUE) at the expense of decreased nitrogen use efficiency (NUE). However, Wittmer et al. [53] found that there was no relationship between foliar δ13C and foliar C/N. Our findings suggest that plants on the Qinghai-Tibet Plateau that have higher WUE may also have higher NUE, and on the basis of the significant correlation between δ13C and C/P for all samples and Stipa (Table 3), also have higher phosphorus use efficiency (PUE). This may be an adaptation of plants to the severe environmental conditions of the Plateau. The lack of correlation between foliar δ13C and foliar N/P (Table 3) is inconsistent with the finding of Cernusak et al. [50] that WUE (foliar δ13C) was related to foliar N/P. Cernusak et al. [37] suggested that foliar δ13C is positively related to foliar N/P according to the argument that plant carbon gain relates positively to the amount of foliar N and that the uptake of P partly depends on the mass flow of the soil solution resulting from transpiration by the plant [50], [51]. Consequently, it could be hypothesized that the N/P ratio would positively correlate with the C/T ratio, where T is the cumulative transpiration, and C/T is equal to WUE. However there may be some limitations when this hypothesis is applied to high elevation areas due to photosynthetic capacity remaining constant with variations of foliar N in these areas [36]. This could also account for the lack of correlation between foliar δ13C and foliar N/P on the Qinghai-Tibet Plateau.

Conclusion

The study emphasizes the dominating influence of altitude related factors on variation of foliar δ13C and foliar elements. Consequently relationships between foliar elements and foliar δpan class="Chemical">13C that have been previously proposed appear to be secondary to other factors, and particularly we suggest atmospheric pressure and temperature, both of which decrease as altitude increases. Relationships between foliar N and δ13C expressed at low altitudes are suppressed at high altitudes. Relationships between foliar δ13C and K, possibly coincidental to transpiration flows, may be shown at high altitudes according to the water use efficiency of taxonomic or life-form groups considered.