ORIGINAL ARTICLE
Differentiation and hybridization of Quercus frainetto, Q. petraea,and Q. pubescens (Fagaceae): insights from macro-morphologicalleaf traits and molecular data
Paola Fortini • Piera Di Marzio • Romeo Di Pietro
Received: 2 January 2014 / Accepted: 7 May 2014
� Springer-Verlag Wien 2014
Abstract Macro-morphological leaf traits and genetic
assignments were combined to study the differentiation and
hybridization of three sympatric and inter-fertile white oak
species (Quercus frainetto, Q. petraea, and Q. pubescens).
The sampling was performed in a single forest stand of
central Italy (Mount Vairano) in which the cover percent-
ages of each of these three oak species were almost equal.
The individuals classified as pure species and the hybrid
individuals were divided into two subsets (A and B) which
were subsequently statistically analysed. The results
regarding the subset of pure individuals showed a clear
separation between the three species on the basis of dif-
ferences observed in the following leaf traits: basal leaf
shape, petiole ratio, petiole length, number of intercalary
veins, pubescence of the petiole, leaf area, number of lobes,
lamina length, and percentage of venation. Regarding the
subset of hybrid individuals, as expected, a wider pattern of
leaf traits compared to that exhibited by the pure individ-
uals was observed. The leaf traits of the pure species that
had provided the greater genetic contribution in the
hybridization process were easily identifiable. Quercus
pubescens and its hybrids exhibited a higher degree of leaf
traits variability when compared with those observed for Q.
petraea and Q. frainetto.
Keywords Hybridization � Molecular data �Morphological leaf traits � Quercus � Statistical analysis �Taxonomy
Introduction
The majority of the forest landscape of Europe and western
Asia is dominated by species belonging to Fagaceae. This
family is widespread in the northern hemisphere in both the
temperate and the Mediterranean bioclimatic regions.
Hybridization and introgression are well-documented
phenomena inside Fagaceae and are important sources of
genetic and morphological variability. This latter is often
the cause of the taxonomic confusion which characterizes
the classification of various Fagaceae genera (especially
Fagus and Quercus). In fact the most of the studies on this
family published in the last decade emphasized the
importance of using both genetic and morphological data
for taxonomical classification purposes. For example, on
the basis of morphological traits and gene markers, the
variation patterns of beech in SE-Europe were described as
introgression between the beech subspecies sylvatica and
orientalis where the presumed ‘‘third’’ European beech
species, Fagus mohesiaca, was regarded as just an hybrid
swarm (Denk 1999; Gomory et al. 1999; Denk 2003; Pa-
pageorgiou et al. 2008). The taxonomical problems con-
cerning introgression and hybridization turn out to be
significantly amplified and complicated when the research
topic is Quercus L., by far the most widespread and
physiognomically important genus of trees in the whole
central and southern Europe. The low barriers to gene flow
among oak species cause the production of several hybrid
individuals, especially at the section level, which can lead
to enhanced diversity (Rushton 1983; Williams et al. 2001;
P. Fortini (&) � P. Di Marzio
Dipartimento di Bioscienze e Territorio, Universita degli Studi
del Molise, C.da Fonte Lappone, 86090 Pesche, IS, Italy
e-mail: [email protected]
R. Di Pietro
Dipartimento PDTA, Sezione Ambiente e Paesaggio, Universita
‘‘La Sapienza’’, Via Flaminia 72, 00196 Rome, Italy
e-mail: [email protected]
123
Plant Syst Evol
DOI 10.1007/s00606-014-1080-2
Gonzalez-Rodrıguez et al. 2004; Tovar-Sanchez and Oy-
ama 2004). Crosses frequently occur in mixed forests,
where multiple oak taxa coexist, and the resulting vari-
ability is increased by the high phenotypic plasticity which
currently characterizes this genus. As a consequence, the
identification of species and subspecies can very often be
wrong or misleading (Jensen 1988; Jensen et al. 1993;
Ponton et al. 2004). From a taxonomical viewpoint, the
genus Quercus has always been considered an intricate
case among botanists and the debate concerning the species
concept or the role of hybridism is still open. One per-
sisting issue is to establish whether the common pheno-
typical differences among pure oak individuals are to be
attributed to environmental factors, hybridity, or both
(Govaerts and Frodin 1998). Various methods for delim-
iting species have been proposed (Henderson 2006; Zapata
and Jimenez 2012), and nowadays taxonomists advocate
the use of as many characters as possible for delimiting
groups. As a consequence, the traditional keys based
exclusively on the plant morphology have apparently
become marginalized in favour of an ‘‘omics’’ study
(Schonenberger and von Balthazar 2012). Despite these
recommendations, the majority of oak species are still
identified on the basis of their patterns of morphological
variation (Luckow 1995; Wiens and Servedio 2000) and
even when other kinds of data are available (environmen-
tal, geographical, molecular, biochemical, etc.), the mor-
phological traits continue to be considered the principal
ones for species identification (Bond and Stockman 2008).
The leaves have always been considered the basic
structure for identifying oak species since they are easy to
observe and compare. Regarding morphological oak leaf
variation, investigations have usually been performed on
the basis of traditional macro-morphometrics (Kremer et al.
2002; Borazan and Babac 2003; Skvorc et al. 2005), geo-
metric morphometrics (Viscosi and Fortini 2011), or
micro-morphological leaf traits (Scareli-Santos et al. 2007;
Fortini et al. 2009; Panahi et al. 2012; Scareli-Santos et al.
2013). Other studies (Bacilieri et al. 1995; Yucedag 2013;
Bruschi et al. 2000; Gomory and Schmidtova 2007) ana-
lysed the relationships between genetic assessments and
leaf morphological traits comparing couples of white oak
species (e.g. Q. petraea vs. Q. robur; Q. petraea vs. Q.
pubescens). In the present study, the role of the macro-
morphological leaf traits in delimiting three white oak
species was related to the genetic assessment of pure and
hybrid individuals in a geographical area where the pre-
sence of these latter had previously been documented. The
main aim of this paper was to identify which were the
macro-morphological characters which played the greater
taxonomical role among a sample of S-European white
oaks. In order to achieve this objective, three European
deciduous species, Quercus frainetto Ten., Q. petraea
(Matt.) Liebl, and Q. pubescens Willd. (subgen. Quercus
Sect. Quercus), which grow sympatrically in a large natural
forest, were considered.
Materials and methods
The study area, Mount Vairano, is a natural forest of about
700 hectares located in the Molise region (central Italy)
characterized by a mixed wood of Q. frainetto, Q. petraea,
and Q. pubescens developed at altitudes ranging between
710 and 935 m a.s.l. (latitude 41.55, longitude 14.60). The
parent material consists of limestone and sandstone
embedded in a matrix of flysch. The bioclimate is tem-
perate with upper hill thermotype and humid/subhumid
ombrotype (Blasi and Michetti 2007).
Collections of mature leaves were made randomly in
nine stands (from 27 to 30 individuals per stand) during the
month of July 2009. A total of 265 trees were analysed.
These trees had already been genotyped and micro-mor-
phologically analysed in two previous papers. In Viscosi
et al. (2012), pure genotypes of Q. frainetto (55 individu-
als), Q. petraea (100), and Q. pubescens (55), together with
mixed genotypes of frainettoxpubescens (9), frai-
nettoxpetraea (3), petraeaxpubescens (19), petraeaxfrai-
netto (5), pubescensxfrainetto (9), and pubescensxpetraea
(10), were identified. The assignment of individuals as
species or hybrids was performed using the estimated
membership coefficient (Q) for each individual in each
cluster (Q C 0.90 pure genotype). In Fortini et al. (2013),
the micro-morphological leaf traits were examined, and the
capability of stomata and trichomes type in discriminating
among species was established.
In the present paper, the macro-morphological leaf
traits of the 265 individuals analysed were measured in
order to complete the genetic/morphological comparison
among the three Quercus species occurring in the Mount
Vairano study area. The individuals which were already
identified as ‘‘genetically pure’’ (210 individuals) in Vis-
cosi et al. (2012) were selected from the whole data set to
form subset ‘‘A’’, while the 55 individuals identified as
‘‘hybrids’’ were assigned to subset ‘‘B’’. Ten leaves were
gathered randomly from the entire crown for each indi-
vidual. These leaves were subsequently pressed, dried,
and scanned (with the abaxial surface facing upwards)
using an Epson GT-15000 scanner with a resolution of
300 dpi and finally measured through ImajeTool program
(Rasband 1997–2007). In total, 15 macro-morphological
leaf variables were assessed following Kissling (1977):
five dimensional (leaf area, lamina length, petiole length,
lobe width, and sinus width); two counted (number of
lobes, number of intercalary veins); two observed (basal
shape of the lamina, pubescence of the petiole); six
P. Fortini et al.
123
transformed (leaf compactness, obversity, lamina/petiole
ratio, lobe depth ratio, percentage of venation, and lobe
width ratio); (Table 1; Fig. 1). The data sets were sub-
sequently treated with univariate and multivariate analysis
procedures using XLSTAT 2013.5.06 (Copyright Addin-
soft 1995–2013).
Fifteen box-plot diagrams were performed on the 210
pure individuals (subset ‘‘A’’) in order to identify their
range of leaf variation in Q. frainetto, Q. petraea, and Q.
pubescens. The discriminant role of those traits showing
both a normal distribution according to the Shapiro–Wilk’s
test (p [ 0.05) and an homogeneity of variance according
to a Levene’s test (p [ 0.05) was measured through a one-
way ANOVA, while the discriminant role of those traits
showing a homogeneity of variance only was measured
through a Kruskal–Wallis test.
Using discriminant function analysis (DFA), the best
discriminating combinations of variables among the three
oak species were identified. Box’s tests (chi-square
asymptotic approximation and Fisher’s asymptotic
approximation) were performed in order to select what
DFA type had to be used.
Finally, the canonical discriminant function coefficients
obtained from the previous DFA were used to calculate the
coordinates of the hybrid individuals (subset B). These
coordinates were plotted in order to observe the position of
hybrids and pure individuals in the DFA diagram space.
Results of analysis
Analysis on subset ‘‘A’’ (pure species)
The box-plots (Fig. 2) displayed a wide range of variability
in the leaf traits of the three species analysed. Two leaf
traits only, pubescence of the petiole and basal leaf shape,
did not exhibit overlaps in their values. All the other traits
exhibited a certain degree of overlapping on two groups, at
least.
On the basis of one-way ANOVA and Kruskal–Wallis
test (Table 2), the following leaf traits are to be considered
as discriminant among the three species: leaf area, leaf
length, petiole length, number of lobes, number of inter-
calary veins, pubescence of the petiole, basal leaf shape,
obversity, lobe depth ratio and percentage of venation.
Regarding the leaf traits of lobe width and petiole ratio, Q.
frainetto differed from the other two species, which
appeared more similar to each other. Instead, regarding
compactness and lobe width ratio, Q. frainetto exhibited a
higher similarity to Q. pubescens. Among all the leaf traits
considered, the sinus width only exhibited values that were
similar for all the three species, and consequently it was
excluded from the subsequent analyses that were per-
formed on 14 traits. The DFA for the three pure species and
the projections of the individuals in the factorial plans are
shown in Table 3 and Figs. 3 and 4. The first two quadratic
discriminant functions, accounting, respectively, for 71.75
and 28.25 %, of the total variance, indicated a strong
separation between the three groups of individuals: Q.
Table 1 List of the leaf morphological traits recorded
Code Variable
A Leaf area
PL Petiole length
SW Sinus width
LW Lobe width
LL Lamina length
NL Number of lobes
NV Number of intercalary veins
Co Compactness: sqrt[(4/pi) * area]/major axis
OB Obversity (lamina shape): WP/LL * 100
PR Petiole ratio: PL/(LL ? PL) * 100
LDR Lobe depth ratio: (LW - SW)/LW * 100
PV Percentage of venation: NV/NL * 100
LWR Lobe width ratio: LW/LL * 100
PI_PU Petiole pubescence
BSL Basal shape of the lamina
Fig. 1 Graphical display of the morphological leaf traits measured.
LL Lamina length, LW lobe width, PL petiole length, WP length of
lamina from base to widest point, SW sinus width
Morphological leaf traits in subgenus Quercus
123
frainetto, Q. petraea, and Q. pubescens (only three indi-
viduals of Q. pubescens and one individual of Q. petraea
are misgrouped). The distribution of the individuals of the
three oak species observed along F1 was shown to be
related to the following leaf traits: basal leaf shape, petiole
ratio, petiole length, number of intercalary veins, and leaf
area. This same distribution observed along F2 was shown
to be related to the pubescence of the petiole, the number of
lobes, lamina length, and percentage of venation.
Analysis on subset ‘‘B’’ (hybrid individuals)
The canonical discriminant function coefficients (Table 4)
determined the distribution of the hybrid individuals in the
Fig. 2 Box-plot showing the minimum, first quartile, median (line),
mean (cross) third quartile, and maximum together with both limits
beyond which values are considered anomalous. Values that are
outside the [Q1 - 3 (Q3 - Q1); Q3 ? 3 (Q3 - Q1)] interval are
displayed with the asterisk symbol. Values that are in the [Q1 - 3
(Q3 - Q1); Q1 - 1.5 (Q3 - Q1)] or the [Q3 ? 1.5 (Q3 - Q1);
Q3 ? 3 (Q3 - Q1)] intervals are displayed with the ‘‘o’’ symbol.
Quercus frainetto = dark grey, Q. petraea = light grey, and Q.
pubescens = white
P. Fortini et al.
123
factorial space (Fig. 5). The diagram showed that the
individuals genetically identified as hybrids did not always
exhibit an intermediate position between their ‘‘pure’’
parents in respect of their morphological leaf traits. In fact,
the individuals genetically identified as petxpub (19) were
grouped around the Quercus petraea barycentre (four
individuals only were found in an intermediate position
between Q. petraea and Q. pubescens barycentres). All the
petxfra individuals (5) are grouped around the barycentre
of Q. petraea. Hybrids identified as pubxpet (10) formed a
more or less continuous cloud of points between the
barycentres of Q. pubescens and Q. petraea. Among the
hybrids identified as pubxfra (9), five individuals were
located near the Q. pubescens barycentre and four in an
intermediate position. The hybrids identified as fraxpub (9)
were grouped around the barycentre of Q. frainetto with
just a single individual falling within the Q. pubescens
cloud. Finally, two of the individuals fraxpet (3) exhibited
Table 2 Variables, means, and results of one-way ANOVA (F value, with degree of freedom in brackets, and p value) or Kruskal–Wallis test
(K and p value) for the leaf traits recorded on ten leaves of individuals of Quercus frainetto, Q. petraea, and Q. pubescens (n = 210 trees)
Variable Q. frainetto Q. petraea Q. pubescens F; p K; p
A 67.951 ± 4.725a 33.044 ± 1.845b 30.692 ± 3.256c – 108.06; \0.0001
PL** 0.56 ± 0.037a 1.509 ± 0.069b 1.279 ± 0.107c 32.439 (2, 11.343); 0000
SW 1.454 ± 0.104a 1.331 ± 0.05a 1.41 ± 0.072a – 3.07; 0.222
LW 4.17 ± 0.153a 2.839 ± 0.096b 2.778 ± 0.147b – 101.26; \0.0001
LL 14.351 ± 0.435a 10.421 ± 0.359b 9.346 ± 0.452c – 108.40; \0.0001
NL 17.013 ± 0.467a 12.393 ± 0.297b 11.08 ± 0.460c – 124.29; \0.0001
NV 6.012 ± 0.446a 2.862 ± 0.173b 4.831 ± 0.337c – 119.99; \0.0001
Co* 0.634 ± 0.008a 0.597 ± 0.006b 0.644 ± 0.009a 4.257 (2, 207); \00001
OB 61.137 ± 1.044a 49.229 ± 1.406b 53.15 ± 1.317c – 93.99; \0.0001
PR** 3.786 ± 0.253a 12.694 ± 0.443b 11.981 ± 0.752b 69.321 (2, 11.356); 0000
LDR* 64.932 ± 2.375a 52.435 ± 1.788b 48.708 ± 1.853c 5.594 (2, 207); \00001
PV 35.876 ± 3.131a 23.466 ± 1.621b 44.882 ± 3.98c – 90.47; \0.0001
LWR 29.077 ± 0.626a 27.474 ± 0.653b 29.788 ± 0.768a – 26.12; \0.0001
PI_PU 3.575 ± 0.234a 1.418 ± 0.096b 4.722 ± 0.239c – 157.33; \0.0001
BSL 6.312 ± 0.451a 2.039 ± 0.175b 4.295 ± 0.209c – 150.97; \0.0001
Means with the same letter are not significantly (p B 0.05) different among groups (Tukey’s HSD test, REGWQ test, and Steel–Dwass–
Critchlow–Fligner, respectively)
* ANOVA, ** Welch ANOVA
Table 3 Variables/factors
correlationsF1 F2
A 0.687 -0.463
PL -0.781 0.221
LW 0.670 -0.433
LL 0.581 -0.556
NL 0.631 -0.613
NV 0.765 0.116
Co 0.452 0.362
OB 0.660 -0.119
PR -0.828 0.400
LDR 0.454 -0.450
PV 0.442 0.517
LWR 0.253 0.237
PI_PU 0.677 0.685
BSL 0.883 0.041
Fig. 3 Correlation circle showing the relationship between the initial
variables and the discriminant factors
Morphological leaf traits in subgenus Quercus
123
an intermediate position, while the other one fell down in
the Q. frainetto cloud.
Discussion
A close look at the morphological leaf traits currently
reported in the European Floras diagnostic keys for the
identification of the white oaks (Hegi 1935; Matyas 1970;
Hedge and Yaltirik 1982; Pignatti 1982; Franco 1990;
Schwarz 1993; Christensen 1997) reveals that the number
of leaf traits actually used is, in fact, quite low. Moreover,
some of these traits are rather vague, and in some cases
based on qualitative characters only (glabrous/pubescent;
obovate/ovate/oblong…). This runs counter to the more
recent advances in Quercus taxonomy and biosystematics.
The results presented in this paper confirm that species
identification in the European white oaks is not straight-
forward and often requires the careful evaluation of mul-
tiple characters and molecular data (Gugerli et al. 2008).
The high rate of hybridization which characterizes the
various white oaks species of southern Europe, which for
long periods coexisted in restricted areas (refugia) where
they succeeded in surviving the severe climatic conditions
of the ice ages (Brewer et al. 2002), has resulted in the
splitting of the taxonomical frameworks. It has also per-
suaded botanists to create an impressive number of new
species, most of which, however, are now considered
doubtful (Tenore 1835–1836; Brullo et al. 1999; Di Pietro
et al. 2012). This high number of taxa was also responsible
of the proposal of misleading taxonomical keys based on
‘‘unstable’’ morphological diagnostic traits. According to
Muir and Schlotterer (2005), the current traits similarity
observed between some oak species is just a consequence
of a shared ancestry. Nevertheless, ambiguous morpho-
logical traits could also be considered as the phenotypic
expression of the greater or lesser contributions of the pure
oak species in the hybridization process. Recently Lepais
and Gerber (2011) proposed introgressive hybridization as
Fig. 4 Discriminant function analysis of the 210 pure individuals in
the space of the first two quadratic discriminant functions (canonical
correlations: F1 = 0.997, F2 = 0.935). The barycentre of the three
oak species is shown as grey circles
Table 4 Canonical
discriminant function
coefficients
F1 F2
Intercepts -7.357 -14.204
Variables
A 0.007 -0.018
PL -2.231 1.341
LW 0.502 -0.822
LL 0.157 0.079
NL 0.146 0.038
NV 0.156 -0.470
Co -6.308 14.134
OB 0.017 0.021
PR 0.096 0.054
LDR 0.002 -0.001
PV 0.020 0.075
LWR 0.052 0.036
PI_PU 0.598 0.963
BSL 0.500 -0.007
Fig. 5 Scatter plot with the 55 hybrid individuals in the same space
as Fig. 4. Individuals are identified by genetic assignment
(square = Quercus frainetto, triangle = Q. petraea, circle = Q.
pubescens). The barycentres of the three species are marked by the
larger symbols
P. Fortini et al.
123
a mechanism of the postglacial expansion of Q. pubescens
in central Europe and as a possible explanation of the
increasing northwards affinity of Q. pubescens with Q.
petraea. The preliminary genetic identification of pure oak
individuals and the subsequent identification of their
diagnostic morphological traits have represented a signifi-
cant improvement in defining the correct sequence of
analysis for the creation of realistic taxonomical frame-
works. It is precisely by following this methodological
approach that was possible to select a group of quantitative
and qualitative diagnostic macro-morphological traits
(basal leaf shape, petiole ratio, petiole length, number of
intercalary veins, leaf area, the pubescence of the petiole,
number of lobes lamina length and percentage of venation)
for Q. frainetto, Q. petraea, and Q. pubescens. These
macro-morphological leaf traits, together with the micro-
morphological traits previously selected on the same pure
individuals (Fortini et al. 2013), act as an unequivocal pool
of traits to be used for taxonomic identification (Fig. 6).
Obviously, the species-specific diagnostic power of these
separate traits becomes more powerful when they are used
in combination with each other (Hardin 1979; Bruschi et al.
2000). It is worth-noting, however, that the majority of the
morphological characters (both micro and macro) identi-
fied in this paper are not considered at all in the analytic
keys of the most important European Floras, while those
few that are considered are often restricted to a qualitative
description only (Table 5). As regards the identification of
the hybrids, the problem is still not completely solved. The
combined arrangement of pure individuals and hybrids in
the same DFA diagram enabled us to hypothesize about
hybrids behaviour in relation to their previous genetic
assessment. In the main, the hybrids exhibited leaf traits
linked to those pure species which had provided the greater
genetic contribution in the hybridization process. When
this higher genetic contribution is provided by Q. frainetto
or Q. petraea, the hybrids tend to phenotypically express
the morphological traits of Q. frainetto or Q. petraea, with
Fig. 6 Summary of the micro-morphological and macro-morphological diagnostic leaf traits of Quercus frainetto, Q. petraea, and Q. pubescens
as identified in a previous paper (Fortini et al. 2013) and in the present one
Morphological leaf traits in subgenus Quercus
123
very few individuals showing an intermediate position.
More or less similar results were already reported by Ishida
et al. (2003) for two Quercus species occurring in the cool
temperate forests of Japan. Instead, in the hybrids deriving
from a greater genetic contribution of the parental Q. pu-
bescens (pubxfra and pubxpet), the leaf morphology traits
were mixed. Such hybrid individuals exhibited a more
irregular distribution in the diagram (Fig. 5) with several
individuals placed in an intermediate position with respect
to the barycentres of the three pure species. Similar evi-
dence on the different behaviour of the hybrids of Q. pu-
bescens was reported in Curtu et al. (2007), who performed
a similar analysis in a mixed forest of Q. frainetto, Q.
petraea, Q. pubescens, and Q. robur in Romania, and in
Salvini et al. (2009), who studied a mixed oak forest
composed of Q, petraea and Q. pubescens. This broad
morphological pattern identified in the hybrids of Q. pu-
bescens perfectly matches the broad morphological pattern
recognizable in the systematic taxa conventionally called
Q. pubescens Willd and in the various other doubtful taxa
currently included in the Q. pubescens collective group. (Q.
amplifolia, Q. congesta, Q. dalechampii, Q. humilis, Q.
leptobalana, Q. virgiliana, etc.). Recent papers (Curtu et al.
2011) demonstrated that the wide phenotypic pattern of
Quercus pubescens (the highest among the white oaks)
originated from a genetic base. Hence, it could have been
precisely the contribution of a hypothetical pure form of Q.
pubescens in countless past hybridization events which has
led to the high morphological variability and taxonomical
entropy currently characterizing the Q. pubescens collec-
tive group.
Despite the aforementioned extensive hybridization and
possible introgression events, the three studied species, Q.
frainetto Q. petraea, and Q. pubescens, remain well iden-
tifiable, both morphologically and coenologically, at least
in the relatively small and circumscribed study area of
Mount Vairano. It is not to be excluded, however, that
different physical or ecological features characterizing
some other geographical areas might lead these three spe-
cies growing in such areas to exhibit a different leaf mor-
phological pattern from that observed in the Mount
Vairano forest. In fact, some papers have already demon-
strated that the influence of the environmental parameters
in combination with genetic processes may contribute to
the development of leaf morphological trends (Bruschi
et al. 2003; Lepais and Gerber 2011; Chybicki et al. 2012).
Unfortunately, the experimental work performed on Mount
Vairano would be difficult to replicate elsewhere in Italy,
since the Italian sites where Q. petraea, Q. pubescens, and
Q. frainetto grow together are extremely few in number
due to the almost opposite chorological features of Q.
petraea and Q. frainetto (Abbate et al. 1990; Scoppola
Table 5 Treatment of the leaf traits which have been selected as
‘‘taxonomically diagnostic’’ for the Quercus genus in the present
paper as reported in other European floras: black squares = reported
using quantitative parameters; white squares = reported using qual-
itative parameters only
Pignatti
(1982)
Flora
d’Italia
Christensen
(1997)
Flora
Hellenica
Franco
(1990)
Flora
Iberica
Hedge and
Yaltirik (1982)
Flora of
Turkey
Savulescu (1952)
Flora Republicii
Socialiste
Romania
Matyas (1970)
Taxa nova
Quercum
Hungariae
Schwarz
(1993)
Flora
Europaea
A Leaf area
PL Petiole length j j j j j j j
SW Sinus width h
LW Lobe width j
LL Lamina length j j j j j j
NL Number of lobes j j j j j j
NV Number of intercalary
veins
j j j
Co Compactness
OB Obversity (lamina
shape)
h h h h h h h
PR Petiole ratio
LDR Lobe depth ratio
PV Percentage of venation
LWR Lobe width ratio
PI_PU Petiole pubescence h
BSL Basal shape of the
lamina
h h h h h h
P. Fortini et al.
123
et al. 1990; Blasi et al. 2004; Di Pietro et al. 2010). Instead,
forest situation where these three oaks grow together is
quite common in the central Balkans, where Q. frainetto
exhibits its wider ecological amplitude and Q. petraea is
far more common than in the Italian Peninsula (Horvat
et al. 1974; Carni et al. 2009). So it would be interesting if
the same experimental design performed in Mount Vairano
were to be re-proposed in the Balkans in order to verify
whether, and to what extent, a different biogeographical
context might influence the diagnostic pattern of the leaf
morphological traits.
Conclusions
The extensive felling of forests over thousands of years,
together with some primarily recent reforestation activity, has
fostered contacts among oaks coming from different habitats
and enhanced the possibility of interbreeding. However,
despite the well-known extensive hybridization and intro-
gression which characterize all oaks, Q. frainetto Q. petraea,
and Q. pubescens remain sufficiently distinct for clear iden-
tification purposes, even in areas of sympatry. The findings
confirm the very good congruence between the genetic and
morphological classification in terms of pure species, the lack
of consistency in terms of hybrids (introgressive forms), and
the high variability of Q. pubescens compared to the co-
occurring closely related species. Among the wide range a leaf
macro-morphological characters that were measured and
observed, there were some (e.g. petiole pubescence) that were
not frequently used in oaks taxonomical literature, but were
proved to be useful for taxonomical purposes (especially when
used in combination with micro-morphological and genetic
data). Those descriptors found to be diagnostic were nicely
compared between different European floras and could be
adopted, in the next future, for the elaboration of new and
updated diagnostic keys.
In terms of conservation biology, it is the opinion of the
authors that the stable micro-/macro-morphological and
genetic traits identified in this paper could act as a useful
tool for easier taxonomical identification of the species in
the field, and consequently for establishing more focused
conservation strategies at both local and regional levels. At
the same time, projects aimed at preserving a high species
diversity in oak forests could benefit from monitoring of the
small-scale direction of hybridization. This could lead in the
future to the creation of a network of pilot areas where the
evolutionary processes involving oaks can be investigated.
Acknowledgments We thank Vincenzo Viscosi for his help during
sampling and technical support, Luisa Gilardi for the morphological
trait measurements, and the anonymous reviewer for useful comments
on this manuscript. This research was partially financed by funds from
Italian Miur—Ricerche di Ateneo—Prot. C26A12PJJZ (Resp. R. Di
Pietro).
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