Free Access
Issue
Ann. For. Sci.
Volume 66, Number 4, June 2009
Article Number 407
Number of page(s) 8
DOI https://doi.org/10.1051/forest/2009016
Published online 06 May 2009

© INRA, EDP Sciences, 2009

1. INTRODUCTION

While drought is considered as the main environmental constraint in Mediterranean ecosystems, frosts can be equally or more determinant in some areas, therefore cold hardiness of Mediterranean plant taxa has been a matter of concern for decades (Boorse et al., 1998; Larcher, 2000). Frost stress largely affects plant distribution, linked to contrasting life histories at a global and regional scale (Sakai and Larcher, 1987). Interactions between frosts and drought have attracted attention due to the ecological and evolutionary significance of these phenomena, in the framework of ongoing climate changes (Blodner et al., 2005; Palacio et al., 2005).

Given that the first years are critical for the establishment of long-lived woody plants, differential responses to extreme temperatures in early developmental stages are likely to be subjected to strong directional selection within each species’ ecological niche (Meza-Basso et al., 1986). However, the different susceptibility to frosts of seedlings and adults does not follow a common pattern in woody plants. Postulations that juveniles should be more frost resistant than their mature forms were based on the fact that cold air usually accumulates near the ground (Darrow et al., 2001). But in fact, the temperature gradient of air from the soil to upper levels differ sharply depending on the predominant cause of frost, either radiation or advection, well documented in bioclimatic research (Taylor, 1970). In different woody plants there are examples of higher frost tolerance in juveniles (Bannister et al., 1995; Meza-Basso et al., 1986), in adults (Boorse et al., 1998) or no difference, as reported for Pinus radiata (Greer et al., 1989). Furthermore, the presence of sharp heteroblastic differences in the shoot development of young plants in some species adds further complexity – but also interest- to the comparison of the ontogenetic adaptive differences between juveniles and adults (Darrow et al., 2001; Jones, 1999; Winn, 1999). However, there is an almost complete lack of scientific literature on the comparison of frost damage between juvenile and adult leaf forms in heteroblastic woody plants, with the exception of the already mentioned work for New Zealand’s woody angiosperms (Darrow et al., 2001).

In particular, we were intrigued about how differently juvenile (primary) and adult (secondary) needles of pine seedlings respond to freezing, to help understanding the adaptive role of the marked heterophylly in this genus. The retention of primary needles for several years and a delayed formation of secondary adult needles is a typical feature of Mediterranean pine seedlings (Klaus, 1989). Conversely, Eurosiberian pines such as P. sylvestris show a much faster ontogeny with secondary needles forming at the end of the first vegetative period and a subsequent senescence of primary needles. Secondary needles have been shown to have significantly lower specific leaf area (hence higher sclerophylly) than primary needles (Climent et al., 2006; Pardos et al., 2008). Since sclerophylly may provide resistance to frost damage delaying the propagation of ice in tissues with densely lignified or cutinized barriers (Larcher, 2005), it is worth to know if different levels of freezing injury between primary and secondary pine needles can be partly explained by their different degree of sclerophylly.

Climate change scenarios for the Mediterranean region, namely Iberian Peninsula foresee an increase in extreme events (IPCC, 2007). Unusual frost stresses might lead to unfitted responses of Mediterranean pine species due to atypical conditions in their ecological niches; therefore, a better comprehension of the developmental processes implied in stress tolerance is mandatory to predict the performance of Mediterranean pines under new environmental conditions and to improve evolutionary and growth models.

Through an artificial freezing test in excised needles of seedlings of eight wide sense Mediterranean pine species from contrasting thermal habitats, our aim was to (1) determine the differences in freezing tolerance between primary and secondary needles within each species (2) evaluate the relation between freezing tolerance and leaf mass area (LMA) as a proxi to needle sclerophylly (and 3) relate freezing tolerance values for both primary and secondary needles of each species with their climate of origin.

Table I

Geographic location of the studied provenance (seed source) for each species. Altitude, mean annual temperature (MAT) and mean temperature of coldest month (TCM) corresponding to the geographical centre of the provenance.

2. MATERIAL AND METHODS

2.1. Plant material

Plant material was obtained from seedlings of eight pine species, sharing a circum-Mediterranean geographical distribution area in Western Europe. Five of these were Mediterranean pines sensu-stricto (P. canariensis; P. pinea, P. halepensis, P. brutia and P. pinaster), two were Eurosiberian species (P. nigra subsp. salzmannii and P. sylvestris) and one, P. radiata, was a representative of another Mediterranean Climate Zone. This species is naturally from California, although currently widespread in mild temperate regions worldwide (Shelbourne et al., 1979). Considering the published evidences of high intraspecific adaptive variation in most of the species (e.g. (Alía et al., 1997) for Pinus pinaster; (Bariteau, 1992) for P. brutia and P. halepensis; (López et al., 2007) for P. canariensis; (Savolainen et al., 2004) for P. sylvestris and (Shelbourne et al., 1979) for P. radiata), each species was represented by a single provenance corresponding to its central ecological range (Tab. I).

Seed lots consisted of an equilibrated mixture from 25 to 30 open-pollinated mother trees taken in natural stands (except for P. radiata). Climatic variables were obtained for each provenance studied from the Global Climatic Model WorldClim v. 1.3 (Hijmans et al., 2005) implemented in DIVA-GIS at a 1-km spatial resolution. We chose the mean temperature of the coldest month and the yearly mean temperature in the interval 1950–2000 to characterize each provenance (Tab. I).

thumbnail Figure 1

Air temperature at the nursery prior to the freezing tests: daily maxima and, minima (thin lines) and mean temperature (bold line).

Previous to germination, seeds were stratified at 4 °C for a month to homogenize the germination velocity. In June 2005 seeds were sown in commercial 7 L containers with a mixture peat and perlite (3:1 v:v) plus 2 g · L−1 of slow-release Osmocote fertilizer for conifers. Irrigation was controlled to maintain water availability at about 80% of field capacity, corresponding to 37% in volume. Seedlings were grown in a greenhouse at North-West Spain (42° 16’ 38” N, 7° 37’ 32” W, 537 m a.s.l.) under natural photoperiod and carried outdoors in February before the second vegetative period. Containers were embedded in perlite to avoid excessive temperature oscillation of the rooting media. Plants were naturally acclimated to outdoors air temperatures, which were monitored during the months previous to the artificial freezing test (Fig. 1). On December 10, six plants per species were transported to ISA laboratory in Lisbon where the freezing test took place.

The ontogeny of the eight studied species varied greatly from the much delayed Mediterranean species (especially P. canariensis, P. pinea and P. halepensis) to the much faster Eurosiberian species (Pardos et al., 2008). We therefore chose an strategic seedling age, 18 months, such that most species had developed dwarf shoots with secondary needles in the axils of primary needles (transitional vegetative metamers) while juvenile needles were still healthy (Fig. 2). However, this was not totally possible, and while seedlings of P. canariensis had only produced a few secondary needles, most primary needles of P. sylvestris were already senescent; therefore, in this last species only secondary needles could be assessed.

thumbnail Figure 2

Position of primary (P) and secondary (S) needles in the studied seedlings. The photograph corresponds to an individual of P. pinaster.

Table II

Target freezing temperatures tested per species and needle types (P: primary, S: Secondary). Asterisks represent the tested combinations.

2.2. Needle sampling and preparation

Tests were held on two types of needles: primary (P) and secondary (S) needles. All samples were taken randomly from adjacent stem portions of the same individuals in order to minimize possible ontogenetic difference on a plastochron basis (Erickson and Michelini, 1957), but ensuring that secondary needles had completed their development in the nursery on the outside conditions.

All freezing tests were performed on six plants per species. Samples were prepared from two secondary needles or 10 primary needles per plant cut to approximately equal sizes (15 mm), discarding tip and basal portions. For each seedling, two samples of fifteen needles (primary and secondary) were used to determine Leaf Mass Area (LMA) calculated as the needle dry mass per needle area (g · cm−2) , as a proxi to needle sclerophylly. Projected needle area was determined by scanning and applying the software WinFolia2002a (RégentInstruments Inc., Switzerland) and dry mass was obtained after oven-drying needle samples for 24 h at 70 °C.

2.3. Artificial freezing test

Needle samples from six seedlings per species were introduced in test tubes and racks of test tubes were placed inside a controlled freezer (Aralab, Lisbon, Portugal) in baths containing an aqueous ethylene glycol solution. An unfrozen control sample was kept at room temperature for each individual and needle type tested. To avoid supercooling, approximately 0.5 g of finely crushed ice (from deionised water) was added to each tube as soon as the temperature was negative to make contact with needle parts. A controlled freezing program followed a constant cooling and thawing rate of 2 °C h−1 and a 4 h exposure to each different target freezing temperature varying between –3 and –24 °C (Tab. II). Based on preliminary freezing tests, we optimized the limited availability of plant material and kept the duration of the whole experiment to a minimum (6 days), therefore reducing possible effects of differences in seedling hardening conditions.

Table III

ANOVA table corresponding to the general linear model for the Logit-transfomed values of It.

Membrane injury was determined by measuring the conductivity of the incubation solution where the ions leak from the cells after artificial freezing. After thawing, 15 mL of deionised water were added to each tube containing needle samples and electrolyte conductivity was measured after 24 h at 25 °C (C1) with a K220 conductivity meter (Consort, Turnhout, Belgium). The samples were then boiled in an autoclave at 120 °C for 10 min, held at 25 °C for 12 h and total electrolyte conductivity was measured (C2) . The relative cell damage at each target freezing temperature (Rt) was obtained as Rt = (C1/ C2) × 100. In addition, the relative cell damage of the unfrozen control samples (R0) was determined. The Relative Index of freeze injury (It) was then calculated as It = (RtR0) / (1− R0) , according to (Flint et al., 1967). Values of It close to 0 represent no cell injury while values close to 1 indicate total cell damage.

2.4. Data analysis

A Logit transformation was applied to the It values, and subsequently, a general linear model (GLM) including the effects of temperature (as a covariate), species and needle type within species (both as categorical fixed effects) was adjusted. In the model, the interactions of temperature with the fixed effects reflected differences in the slopes of regression models of the Relative Index of Freeze Injury versus temperature due to each effect. In addition, maximum likelihood-based methods were used to fit a logistic model to each temperature-It combination per individual and needle type, and the temperature corresponding to an It of 50% (inflexion point of the logistic model) was then obtained. We assumed that this value corresponded to the death of 50% of needle tissues, referred to as lethal temperature for 50% injury (LT50), and therefore we used this value as an estimator of freezing tolerance. The means and 95% confidence intervals were calculated per species and needle type. Standard Pearson’s correlations and linear standard regressions were used to assess the relationship between LT50 of primary and secondary needles, and between LT50 and LMA and the climate variables of the species. All statistical tests were done using the SAS statistical package version No. 8.2 (SAS Institute, Cary, North Carolina, USA).

thumbnail Figure 3

Relative index of freeze injury (It , y axis) versus test temperatures (x axis)and fitted logistic curves for the eight species analyzed. Data for primary needles (white triangles) and secondary needles (black dots).

3. RESULTS

3.1. Freezing injury in primary and secondary needles

Neither the species nor the needle type on their own affected significantly the slopes of the linearized models between temperature and the logit-transformed relative index of freeze injury, It (Tab. III). By contrast, needle type within species, represented by the triple interaction (Temperature × Needle × Species) was highly significant (p = 0.000067). This means that the response of the samples to the controlled freezing test was largely dependant on the primary/mature condition of the needles for each species. The whole model explained 72% of the observed variation (71% adjusted to number of variables in the model, with p < 0.001).

The logistic curves of relative index of freeze injury (It) as a function of the temperature (Fig. 3) showed this variation between species and needle types within species, with LT50 values ranging from –6.6 °C to –23.0 °C (Fig. 4).

Primary needles showed significantly higher LT50 values (lower freezing tolerance) than secondary needles for four of the studied species, P. halepensis, P. brutia, P. pinaster and P. nigra, while both needle types performed similarly for P. canariensis, P. pinea and P. radiata (Fig. 4). Moreover, the correlation of freezing injury between both leaf types was very high (Pearson’s r = 0.94; p = 0.0007). It is worthwhile noting that the three species which showed similar freezing tolerance in primary and secondary needles were also those showing the higher LT50, with mean values occurring between –6 and –12 °C.

thumbnail Figure 4

Comparison of LT50 between primary (P) and secondary (S) needles per species. Means and 95% confidence intervals from n = 6 individuals per species. (*** P < 0.001, ** P < 0.01, *P < 0.05, ns non-significant).

3.2. LMA and ecological correlations with LT50

While LMA was higher in secondary needles for all studied species (although the difference was non-significant for P. halepensis, Fig. 5), there was a total absence of correlation between LMA and LT50 for both primary and secondary needles. By contrast, the correlation between freezing tolerance and the mean temperature of the coldest month of the seed source was very strong for both primary and for secondary needles (Fig. 6). Both correlations and adjusts of linear regression model were slightly stronger for secondary needles compared to primary needles (r2 = 0.93, p = 0.00005and r2 = 0.88, p = 0.0009, respectively) but in the first case, there is one more data point corresponding to P. sylvestris.

4. DISCUSSION

Differences in freezing tolerance both between species and needle developmental phases are due to different physiological capacities of cold acclimation, namely in carbohydrates metabolism, membranes characteristics and specific antifreeze proteins (Larcher, 2005) that have been adaptively selected for each species and ecotype (Repo et al., 2000; Savolainen et al., 2004). Without exploring the mechanisms underlying different freezing tolerance, our experiment showed that primary needles tended to be equally or more sensitive to freezing injury when compared to secondary needles of the same plants, but this difference is species-dependent among the seven pines analyzed. Furthermore, the differences encountered among species for both needle types prior to winter acclimation were highly related to their climate of origin.

4.1. Differences between primary and secondary needles

The Eurosiberian P. nigra and the Mediterranean P. pinaster, P. brutia and P. halepensis had secondary needles more frost tolerant than primary needles, while P. canariensis, P. pinea and P. radiata had secondary and primary needles equally frost-sensitive. It is worthy of note that these three species were also the less tolerant to freezing, while those with more different behavior between foliage types (this is, P. halepensis and P. brutia) had intermediate frost tolerance values. Finally, the more tolerant species P. pinaster and P. nigra showed a slightly higher (but still significant) tolerance of secondary needles.

In the last two Pinus sp. (and to a lesser extent in P. brutia), secondary needles appear normally during the very first vegetative period, unlike the thermophyllic, Mediterranean pines sensu stricto (this is, taking apart P. radiata, (Klaus, 1989) and author’s unpublished data). In the moderately cold habitats where these species grow, these precocious, more tolerant secondary needles can ensure maintaining enough photosynthesis during the first winters.

thumbnail Figure 5

Comparison of needle mass per area (LMA) between primary (P) and secondary (S) needles per species. Means and 95% confidence intervals from n = 6 individuals per species. (*** P < 0.001, ** P < 0.01, *P < 0.05, ns non-significant).

thumbnail Figure 6

Relationship between mean temperature of the coldest month at the seed source (averaged within each species’ provenance) and LT50. (a) Primary needles and (b) secondary needles. LT50 data points represent means and bars represent 95% confidence intervals for n = 6 individuals per species.

On the other extreme, P. canariensis and P. pinea primary needles can be the only photosynthetic biomass for several years due to their much delayed shoot ontogeny (Climent et al., 2006; Klaus, 1989). In the Canary Islands pine, this developmental delay has been interpreted as necessary for accumulating sufficient root biomass and attaining a critical size before starting to form the highly sclerophyllous secondary foliage (as LMA values show) under a limiting dry environment. Anatomical differences suggest that primary needles can have a higher photosynthetic efficiency than secondary needles (Jimenez et al., 2000), which was confirmed in Juniperus occidentalis (Miller et al., 1995) but still not investigated in pines. However, while previous research have shown that secondary needles have a significantly lower cuticular transpiration than primary needles in this species (Climent et al., 2006), our experiment revealed similar susceptibility to frost injury which suggest different tolerance pathways between drought and cold. The mild winter temperatures characterizing the natural area of this species, even at high altitudes (Luis et al., 2007) are not likely to have exerted any selection towards frost tolerance at any developmental stage. By contrast, many natural forests of P. pinea occur in relatively cold areas in flat continental dune deposits in inner Spain (precisely the tested provenance is one of them), where moderate radiation frosts are frequent from October to May (Mutke et al., 2003). Considering the formerly mentioned ontogenetic delay, it makes sense that primary needles are (at least) as tolerant to frost stress as secondary needles. A similar explanation has been postulated in the comparison of juvenile and adults in colonizing Nothofagus broadleaved species (Meza-Basso et al., 1986).

The third species with similarly low tolerance of primary and secondary needles was P. radiata. The similarly low frost resistance between seedlings and saplings of this species had been already stated (Greer et al., 1989). These results are coherent with the mild conditions along the species natural distribution (with a mean temperature of the coldest month of about 10.5 °C, very similar to that of P. canariensis). Interestingly, while secondary needles in this species are relatively precocious in the plant ontogeny, primary needles can continue forming for several years like in the Mediterranean pines sensu stricto, such that both needle types coexist widely in time and space in seedlings. This relevant fact seems to be inexplicably absent from the abundant scientific literature of shoot phase change and its hormonal control, apart from some early comments (Lester, 1968), but its possible adaptive meaning merits investigation.

Pinus halepensis was the only studied species that combined a marked differentiation of frost tolerance between primary and secondary foliage with a delayed ontogeny (i.e. delayed formation of secondary needles). Also, the marked differentiation between foliage types in frost tolerance does not mimic the similarity of LMA values. This pine grows in Mediterranean dry slopes at low to mid altitudes, where it competes with woody formations of variable density and vigour (garriga, makis or phrygana) benefiting of its high colonizing ability after fires (Tapias et al., 2004). In these predominantly convex areas, frosts are infrequent and mostly caused by the advection associated to northerly cold spells, rather than from radiation (Lindkvist et al., 2000). Therefore, woody shrubs might provide enough shelter for frost-sensitive seedlings with juvenile foliage for a few years, before hardier, secondary needles are formed at higher levels of the plant (Langvall and Ottosson-Löfvenius, 2002). This rarity of frosts at the ground level in the typical Aleppo pine habitat runs in parallel to the lack of cold acclimation in the roots of this species (Tinus et al., 2000).

4.2. Ecological correlations and evolutionary implications

The variation pattern of freezing injury amongst the eight pine species studied was highly consistent with each species’ thermal ecological niche. Considering secondary needles, two groups of species can be identified; the four that presented LT50 lower than –17 °C (P. nigra, P. sylvestris, P. pinaster and P. brutia) and the other four that shown more heterogeneous and lower tolerances (LT50 of –6 to –14 °C, P. halepensis, P. pinea, P. radiata and P. canariensis). For primary needles, the variation pattern between species is more continuous, but the species ranking is highly concordant. These two groups can be directly related with the selection exerted by the contrasting thermal environments that these species encounter: mountain and inland pines face severe and frequent frosts; in opposition, coastal Mediterranean areas are characterized by a variable climate where cold spells are infrequent and/or less severe.

Pinus sylvestris is generally considered a more cold-tolerant species compared to P. nigra, based on their distributional areas and confirmed by experimental data (Strimbeck et al., 2007). However our experiment showed a very similar response of secondary needles, with even a slightly higher frost tolerance for P. nigra. This result is consistent with the mean temperature of the coldest month at the origin of the provenance chosen (Fig. 5B), despite a higher mean annual temperature in the P. nigra provenance.

The significantly higher freezing tolerance for needles of P. brutia compared to P. halepensis – despite being genetically close – is in accordance with the higher general cold tolerance of the first species and their niche segregation in the Eastern Mediterranean (Bariteau, 1992). Moreover, the abovementioned difference of habitats between P. pinea and P. halepensis justify the inversion of their ranking in freezing tolerance for primary (P. pinea more tolerant than P. halepensis) and secondary needles (the opposite ranking, Figs. 4 and 6).

As already mentioned, the distinct high susceptibility to freezing injury of P. canariensis needles is in accordance with the very low influence of frosts within its natural habitat (Luis et al., 2007). This pine is considered a living fossil, survivor of the thermophyllic Tertiary flora, whose fossil remains have been found in several locations from continental Europe (Klaus, 1989). During the Pleistocene, it was probably displaced from higher latitudes and altitudes by species that were capable of developing greater frost tolerance (Sakai, 1971).

The variation encountered between species and between foliage types within species is highly coherent with our knowledge on their ecology and can help to direct future experiments. In particular, the effects of phenological shifts in Old World’s hard pines driven by warmer winters under the ongoing Global Change (e.g. a delay in bud set in autumn) can be better explained if the inherent differences between foliage types, linked to each species ontogenetic features, are taken into account.

Acknowledgments

This research is part of the project AT-05 002 (INIA) and AGL2005-07440 REPROFOR (CYCIT). Thanks to S. Iglesias, J. Peñuelas and J.L. Nicolas (Spanish Directorate for Biodiversity DGB) for providing the seeds, to F. Salgado, I. Santos and G. Ruiz (TRAGSA, Spain), for their work at the nursery and to N. Godoy, S. Herrera and F. del Caño (INIA, Madrid) for leaf area measurements. Thanks to H. Merouani at (ISA, Lisbon).

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All Tables

Table I

Geographic location of the studied provenance (seed source) for each species. Altitude, mean annual temperature (MAT) and mean temperature of coldest month (TCM) corresponding to the geographical centre of the provenance.

Table II

Target freezing temperatures tested per species and needle types (P: primary, S: Secondary). Asterisks represent the tested combinations.

Table III

ANOVA table corresponding to the general linear model for the Logit-transfomed values of It.

All Figures

thumbnail Figure 1

Air temperature at the nursery prior to the freezing tests: daily maxima and, minima (thin lines) and mean temperature (bold line).

In the text
thumbnail Figure 2

Position of primary (P) and secondary (S) needles in the studied seedlings. The photograph corresponds to an individual of P. pinaster.

In the text
thumbnail Figure 3

Relative index of freeze injury (It , y axis) versus test temperatures (x axis)and fitted logistic curves for the eight species analyzed. Data for primary needles (white triangles) and secondary needles (black dots).

In the text
thumbnail Figure 4

Comparison of LT50 between primary (P) and secondary (S) needles per species. Means and 95% confidence intervals from n = 6 individuals per species. (*** P < 0.001, ** P < 0.01, *P < 0.05, ns non-significant).

In the text
thumbnail Figure 5

Comparison of needle mass per area (LMA) between primary (P) and secondary (S) needles per species. Means and 95% confidence intervals from n = 6 individuals per species. (*** P < 0.001, ** P < 0.01, *P < 0.05, ns non-significant).

In the text
thumbnail Figure 6

Relationship between mean temperature of the coldest month at the seed source (averaged within each species’ provenance) and LT50. (a) Primary needles and (b) secondary needles. LT50 data points represent means and bars represent 95% confidence intervals for n = 6 individuals per species.

In the text