Content uploaded by Marc Selosse
Author content
All content in this area was uploaded by Marc Selosse
Content may be subject to copyright.
Diversity and fruiting patterns of ectomycorrhizal
and saprobic fungi in an old-growth Mediterranean
forest dominated by Quercus ilex L.
F. Richard, P.-A. Moreau, M.-A. Selosse, and M. Gardes
Abstract: We collected and mapped epigeous fruitbodies of both ectomycorrhizal (ECM) and saprobic fungi in an old-
growth Quercus ilex L. Mediterranean forest within a permanent transect of 6400 m2over three consecutive fruiting
seasons. Out of 5382 fruitbodies, a total of 234 species were found, including 166 and 68 ECM and saprobic taxa, re-
spectively. Both communities were mainly composed of rare species. Two genera, Russula and Cortinarius, accounted
for 34.4% of ECM fruitbodies and 50% of species diversity. The three most abundant ECM species were Laccaria
laccata (Scop.: Fr.) Berk. & Broome, Inocybe tigrina R. Heim, and Lactarius chrysorrheus Fr. The fruiting ECM com-
munity encompassed a few Mediterranean species and numerous broad host range temperate species. We also analysed
the fruiting patterns in relation to forest structure, host composition, and natural canopy gaps. The results showed (i)a
significant correlation of species richness to tree density, (ii) a richness decrease as the number of vegetation layers in-
creases, and (iii) a preferential fruiting of some species near Q. ilex or Arbutus unedo L. Another noteworthy feature
was that richness and production were greatly enhanced in canopy gaps. Selective fruiting was also observed among
species. These results highlight the importance of forest structure and large woody debris for fungal conservation.
Key words: ECM community, saprophytic fungi, holm oak, macromycete fruiting patterns, canopy gaps, fungal conser-
vation.
Résumé : Nous avons récolté et cartographié les fructifications épigées de champignons ectomycorhiziens (ECM) et
saprophytiques dans une vieille forêt méditerranéenne de Quercus ilex L. au sein d’un transect permanent de 6400 m2,au
cours de trois saisons consécutives de fructification. À partir de 5382 fructifications, nous avons reconnu 234 espèces in-
cluant 166 espèces ectomycorhiziennes et 68 saprophytiques. Les deux communautés étaient principalement composées
d’espèces rares. Les genres Russula and Cortinarius représentaient 34.4% des fructifications et 50% de la diversité ecto-
mycorrhizienne. Les trois espèces ectomycorhiziennes les plus abondantes étaient Laccaria laccata (Scop.: Fr.) Berk. &
Broome, Inocybe tigrina R. Heim et Lactarius chrysorrheus Fr. La communauté ectomycorhizienne était constituée de
quelques espèces à affinités méditerranéennes et de nombreuses espèces tempérées à large spectre d’hôtes. Nous avons
également examiné les relations entre les patrons de fructification et la structure forestière, la composition en hôtes et la
présence de trouées naturelles. Les résultats ont montré: (i) une corrélation significative entre la richesse et la densité des
arbres, (ii) une diminution de la richesse en fonction du nombre de strates de végétation et (iii) une fructification plus
importante de certaines espèces près de Q. ilex ou d’Arbutus unedo L. Une autre caractéristique remarquable était que la
richesse et la production étaient plus élevées dans les ouvertures de canopée. Une fructification préférentielle de certaines
espèces était aussi observée dans ces ouvertures. Ces résultats mettent en évidence l’importance de la structure forestière
et des bois morts de grande dimension pour la conservation in situ des champignons.
Mots clés : communautés ectomycorhiziennes, champignons saprophytiques, chêne vert, patrons de fructification des
macromycètes, trouées naturelles, conservation in situ des champignons.
Richard et al. 1729
Can. J. Bot. 82: 1711–1729 (2004) doi: 10.1139/B04-128 © 2004 NRC Canada
1711
Received 5 January 2004. Published on the NRC Research Press Web site at http://canjbot.nrc.ca on 8 December 2004.
F. Richard1,2 and M. Gardes.3Unité mixte de recherche 5174 Évolution et Diversité Biologique, Université Toulouse III Paul
Sabatier, 118 Route de Narbonne, 31062 Toulouse CEDEX 4, France.
P.-A. Moreau.4Geobotanische Institut ETH, Zollikerstrasse 107, CH 8008 Zürich, Switzerland.
M.-A. Selosse.3,5 Systématique, adaptation et évolution, Centre national de la recherche scientifique, Université Paris VI, Muséum
national d’histoire naturelle, 43, rue Cuvier, 75005 Paris, France.
1Corresponding author (e-mail: richard.fran@wanadoo.fr).
2Present address: Office National des Forêts, 20250 Corte, France.
3These two authors have contributed equally to the supervision of this work.
4Present address: Laboratoire de Botanique, Faculté des Sciences Pharmaceutiques et Biologiques, Lille II, 3, rue du Professeur
Laguesse, B.P. 83, F-59006 Lille CEDEX, France.
5Present address: Centre d’Ecologie Fonctionnelle et Evolutive, Centre National de la Recherche Scientifique, Unité mixte de
recherche 5175, Equipe co-évolution, 1919, route de Mende, 34 293 Montpellier CEDEX, France.
Introduction
Old-growth forests are rare in Europe, particularly in the
Mediterranean basin, because of ancient anthropic pressures
(Quézel and Médail 2003). These forest ecosystems are gen-
erally characterised by (i) a high diversity of ligneous and
herbaceous plants species, (ii) numerous old and large trees,
and (iii) a mosaic pattern of trees at various stages of devel-
opment. In addition, one of their most noteworthy architec-
tural features is the presence of numerous gaps resulting
from tree falls (Oldeman 1990). These small-scale canopy
gaps play a key role in natural regeneration of unmanaged
forests (Connell 1978; Mc Carthy 2001).
Superimposed on this complex structure, old-growth for-
ests also harbour a high diversity of interacting plants, ani-
mals, and fungi (Berglund and Jonsson 2001). Saprobic and
ectomycorrhizal (ECM) fungi generally form species-rich
guilds that interact with trees (Dahlberg et al. 1997; O’Dell
et al. 1999; Smith et al. 2002). Thus, saprobic fungi are pri-
mary decomposers of dead organic plant material and ECM
fungi develop symbiotic structures, ectomycorrhizae, on fine
root tips of numerous tree species (Smith and Read 1997).
Identification of the fungi is based almost exclusively on
their sexual reproductive structures (commonly referred to as
mushrooms, fruitbodies, or sporocarps).
Ectomycorrhizal fungi are taxonomically diverse (>5000
species) and belong to several clades in the Ascomycotina
and Basidiomycotina (Smith and Read 1997). A large major-
ity of species produce fruitbodies that are visible above
ground, with the naked eye. However, there are ECM fungi
(e.g., Cenococcum geophilum) for which the sexual stage
has not been observed, and others that form inconspicuous
fruitbodies (e.g., resupinate Thelephoraceae and
Sebacinaceae, and truffle-like fungi). Most studies of ECM
fungal communities are based on fruitbody surveys and on
molecular investigations of diversity from mycorrhizal
rootlets. Some reports allow a comparison between fruiting
patterns and ectomycorrhizae. These two approaches show
different and sometimes contrasting results (Gardes and
Bruns 1996; Horton and Bruns 2001). For example, species
that are well represented in the fruiting record are rare below
ground and reciprocally. Despite their limitations, fruitbody
surveys are a useful way to assess the presence of species in
a stand because many ECM fungi produce fruitbodies that
can be easily mapped and identified to the species level. In
addition, fruiting patterns still provide valuable tools to for-
est practitioners interested in the management and conserva-
tion of nonwoody resources such as edible mushrooms.
Factors driving fungal diversity remain unclear, but com-
position and demographic features of the host tree popula-
tion (i.e., changes in ecosystem structure) are likely to act,
particularly on symbiotic fungi (Smith and Read 1997).
ECM fungal species differ in their host breadth, ranging
from narrow to broad spectra (Molina et al. 1992). Similarly,
plants vary widely in their ability to associate with fungal
species. As a result, host composition can shape the diversity
of the fungal guild (Villeneuve et al. 1989; Nantel and
Neumann 1992; Vogt et al. 1992). Fungal richness and com-
position also change in relation to forest succession (Keizer
and Arnolds 1994; Smith et al. 2002). Some ECM species
(referred to as early-stage fungi; Last et al. 1987) establish
early and stop fruiting in old stands, although they can
persist on roots (Smith and Read 1997). During forest matu-
ration, progressive recruitment diversifies the community,
introducing species (referred to as late-stage fungi, Last et
al. 1987) that often fruit in old stands. Indeed, early-stage
fungi with ruderal strategies and late-stage fungi with com-
petitive or stress-selected strategies have been suggested as
functional groups (Deacon and Fleming 1992). Further evi-
dence that host demography may be involved in fungal com-
munity dynamics is provided by the descriptions of major
disturbance effects on diversity. Thus, shifts in the ECM
fungal community have been observed following clear-cuts
(Jones et al. 2003), volcanic eruptions (Nara et al. 2003), or
wild fires (Baar et al. 1999; Dahlberg et al. 2001). Canopy
gaps and subsequent regrowth create a diverse age structure
of trees, so it is likely that old-growth forests will contain
early and late succession ECM fungi. However, to our
knowledge, the local effects of natural canopy gaps on fruit-
ing patterns and species richness have not been explored.
We investigated the fruiting patterns of macromycetes at
local scale in an old-growth forest dominated by Quercus
ilex L. The study was initiated in 1999 within a 6400-m2
permanent plot located in the Fango forest (Corsica Island).
This work opens a new window on Mediterranean diversity,
in a climatic region usually described as a diversity hot-spot
for many other organisms (Cowling et al. 1996; Médail and
Verlaque 1997). In addition, our study plot provides a model
in which the role of natural forest dynamics can be tested
because plant composition and vegetation structure have
been described on a fine scale-grid in a previous study
(Panaïotis et al. 1997). Our major objectives were (i)todoc-
ument the ectomycorrhizal diversity in an unmanaged Medi-
terranean forest ecosystem and (ii) to correlate fruiting
patterns with host-tree distribution and other forest structural
features such as tree density and canopy gaps. We also tested
whether the ECM community could be divided in various
components, based on host specificity and life history traits
of species such as fruitbody size, temporal fruiting patterns,
fruitbody abundance, and spatial frequency. In addition to
the ectomycorrhizal fungal community, we examined the di-
versity of saprobic fungi, which are submitted to the same
abiotic conditions, but lack any direct connection to living
plants.
Materials and methods
Location of the study site and habitat characteristics
The study site is located within the Fango forest
(42°20′N; 8°49′E) at the northwestern edge of Corsica Is-
land (Fig. 1a). This French island extends between sea level
and a maximal altitude of 2710 m. The Fango valley has
been a Man and Biosphere (MAB) reserve since 1973, as it
contains one of the rare old-growth Q. ilex (holm oak) for-
ests of the Mediterranean basin (Quézel and Médail 2003).
The Fango forest covers a 4318-ha area on Hercynian gran-
ite with enclaves of volcanic rhyolites. It is dominated by
sclerophyllous evergreen Mediterranean species, among
which Q. ilex occurs in the mesomediterranean belt (i.e., be-
tween 200 and 900 m above sea level). Soils are alocrisols
(AFES 1995) with mull humus overlying (i) a thick organic
layer with a slightly acidic pH ranging from 5.7 to 6.4 and a
© 2004 NRC Canada
1712 Can. J. Bot. Vol. 82, 2004
C to N ratio ranging from 24 to 28 and (ii) an altered granite
horizon. The climate is subhumid with a mean annual rain-
fall of 750 mm and an average annual temperature of
14.6 °C at 192 m above sea level. Temperatures range from
3.5 °C (mean January minima) to 29.9 °C (mean July max-
ima).
Characteristics of the Q. ilex old growth stand
The study stand is located in a 15-ha Q. ilex old-growth
forest that consists of numerous large trees and a 7-m-high
dense chaparral. This dense understory layer consisted prin-
cipally of Phillyrea latifolia L., Erica arborea L., Arbutus
unedo L. (strawberry tree) shrubs and other rare species
scattered throughout such as Cistus salviifolius L. and Cistus
monspeliensis L. (Gamisans 1999; Panaïotis et al. 1997; data
not shown). Of the woody species, only Q. ilex,Arbutus
unedo, and the two species of Cistus have the ability to asso-
ciate with ECM fungi.
The forest shows numerous canopy gaps of about 100 m2
each (Panaïotis et al. 1995), which occur when old Q. ilex
stems (170 ± 46 years) break and fall down (Fig. 1b). In this
paper, natural gap is defined as the surface of the forest floor
directly located under the canopy opening, following the ter-
minology of Mc Carthy (2001).
Collecting macrofungi and plants and processing of
field data
The fruitbody survey was conducted within a 6400-m2
(160m×40m)permanent transect that extended from the
upper Q. ilex forest limit at 390 m down to 330 m (Fig. 1b).
This transect (established in 1994 by Panaïotis et al. (1997))
was divided into 64 contiguous (10m×10m)plots (la-
belled from A1 to D16, Fig. 1b), each divided into 100
(1m×1m)subplots.
Between 1999 and 2002, epigeous fruitbodies of ECM
and saprobic macrofungi fruiting on soil were searched
weekly over the whole fruiting season, i.e., from September
15th to March 15th. The position of each fruitbody was re-
corded and mapped with a 0.1-m resolution using the GIS
(Geographical Information System) software Arcview 3.2a
(ESRI Inc, Paris). Species forming microscopic, hypogeous,
or resupinate fruitbodies were not taken into account.
Fruitbodies of parasitic or saprobic species fruiting directly
on woody debris, fresh dungs, or living plants were also ig-
© 2004 NRC Canada
Richard et al. 1713
Fig. 1. (a) Location of the study site on Corsica Island (France). (b) Spatial distribution of the individuals of Quercus ilex and Arbutus
unedo in the study plot (6400 m2). 䊉,Q. ilex standing trees; 䊊,Arbutus unedo shrubs; lines, Q. ilex fallen trees; hatched zones, rocks
and screes. (c) Concentric zones (Z1–Z5) created using Arcinfo software to analyse the relationship between fruiting patterns and can-
opy gaps. The grid indicates limits of the 100 m2plots.
nored, as their repartition is obviously determined by the oc-
currence of such substrates.
Fungal collections were identified to species level in most
cases and occasionally to subspecies (= variety) level. Taxa
poorly monographed, at least for this Mediterranean region,
were ascribed to broad taxonomic units according to Bon
(1988) or, alternatively, to unidentified species that were de-
lineated for this study (Appendix A, Tables A1 and A2).
Over 3 years, we only removed a minimal number of fruit-
bodies for identification. Representative voucher collections
for all ECM taxa were deposited in the herbarium of the
Évolution et diversité biologique laboratory (Unité mixte de
recherche 5174, Université Toulouse III Paul Sabatier,
Toulouse, France), as were vouchers of 25 saprobic taxa for
which identification was doubtful in the field (noted by as-
terisks in Table A2). In addition, a picture database of
saprobic species was prepared and deposited in the same
place.
Vascular plants were first recorded in 1994 by Panaïotis
and Gamisans (unpublished data). They were surveyed again
in 2002, together with nonvascular plant species. Quercus
ilex and Arbutus unedo individuals were mapped at a 0.1-m
accuracy, but seedlings were not considered. Large rocks and
loose rock debris were also positioned (Fig. 1b).
All field data were stored using Arcview 3.2a software.
Assignment of ECM status and diversity analysis
Fungal taxa belonging to genera for which ectomy-
corrhizae have been undoubtedly reported in the literature
were ascribed to the ECM guild (Table A1). We included all
genera and species of uncertain ECM abilities (e.g.,
Clavulina,Clavulinopsis,Entoloma, and Hygrocybe)inthe
saprobic guild (Table A2). Species abundance was calculated
as the cumulative number of fruitbodies produced by a given
species in the period 1999–2002 (i.e., during three consecu-
tive fruiting seasons; absence or presence data were used
because counting fruitbodies (instead of biomass measure-
ments) does not affect fruiting patterns and diversity). Spe-
cies frequency corresponds to the percentage of spatial units
(plots or subplots, depending on the analysis) in which a
given species fruited at least once during the entire sampling
period (Bills et al. 1986; Villeneuve et al. 1989). Production
(also referred to as fruitbody abundance) was defined as the
total number of fruitbodies encountered over the period Sep-
tember 1999 – March 2002. Species diversity was estimated
using (i) richness, that is, the total number of taxa (S;Smand
Ssfor ECM and saprobic fungi, respectively), (ii) Simpson’s
diversity index (D), (iii) Shannon–Wiener information index
(′H), and (iv) Fisher’s parameter alpha (Fisher et al. 1943).
The distribution of relative species abundance was analysed
using a rank–abundance curve.
Statistical analyses of spatial patterns
To examine whether differences in community composi-
tion arise as a result of geographical distance, we performed
a spatial autocorrelation test at the (100 m2) plot level. We
examined the correlation between geographic distance and
community similarity among plot pairs. Distances among
plots were measured as the distance between plot centers.
The similarity matrix was constructed using either Jaccard
(J) or Sorensen ( ′S) coefficients that were calculated as fol-
lows:
[1] J=c/(a+b–c)
[2] ′S=2c/(a+b)
where ais the total number of species in one plot, bis the
total number of species found in the other plot, and cis the
number of species the two plots have in common. Correla-
tion between geographic distance and community similarity
was assessed using a Mantel test in the R Package for
Multivariate and Spatial Analysis version 4.0 (Casgrain and
Legendre 2001; www.fas.umontreal.ca/BIOL/Casgrain). The
Mantel’s standardized rvalues range from –1 (negative cor-
relation between similarity matrix and distance matrix) to +1
(positive correlation). The significance level was calculated
by randomization of one matrix and calculation of Mantel’s
rvalue (Mantel 1967) for each random pairing.
To determine fruitbody distribution patterns (i.e.,
aggregative, random, or regular), we used the Besag function
L(r) (Besag and Diggle 1977), calculated as follows:
[3] Lr Kr r() ()/=−π
where K(r) is the Ripley function (Ripley 1977) and ris the
distance. The function L(r) was calculated for distances that
range from 0.5 to 20 m (i.e., half of the transect width) and
correspond to aggregate from 1 to 1250 m2on average. Con-
fidence intervals at 99% for the null hypothesis of spatial
randomness were calculated using the Monte Carlo method
using the software ADE-4 (Thioulouse et al. 1997).
The analysis was performed for (i) the ECM community,
(ii) the saprobic community, and (iii) species with sample
sizes greater than 64 fruitbodies, that is, for those species
that could potentially be encountered in all 64 plots of the
transect. Calculations were not done for less abundant spe-
cies because of the inherent lack of statistical power.
Search for correlations between the fungal community
and structural characteristics of the forest
First, we examined at the plot level the relations between
either fungal productivity or species richness and three pa-
rameters of vegetation structure, that is, tree density, cover-
age, and number of vegetation layers. Fruitbody abundance
and species richness were calculated per plot for both ECM
and saprobic fungi and compiled over the entire transect. In-
dividuals of Q. ilex and Arbutus unedo were mapped and
counted in each 100 m2plot. We distinguished two vegeta-
tion entities: chaparral understory and Q. ilex cohort sensu
stricto. Each entity was further divided into vegetation layers
according to plant height. The chaparral was composed of
layer 1 (i.e., 1.5- to 5-m-high shrubs) and layer 2 (i.e., 5- to
10-m-high shrubs). In the Q. ilex cohort, we distinguished
trees ranging from 5 to 10 m in height (layer 1) from trees
higher than 10 m (layer 2). A coverage value was estimated
for each layer in each plot and expressed as the percentage
of the plot covered by this layer. Finally, the relation be-
tween the macrofungal community and forest structure was
quantified and tested statistically using the Pearson’s corre-
lation coefficient.
Second, we examined the relationships between either
fungal productivity or species richness and the presence of
© 2004 NRC Canada
1714 Can. J. Bot. Vol. 82, 2004
Q. ilex and Arbutus unedo (i.e., the two dominant ECM
hosts in our study site). Circular zones (1 or2minradius)
centred on Q. ilex and Arbutus unedo individuals were simu-
lated using Arcview software. Fruitbodies and species of
ECM and saprobic fungi were counted in each zone,
summed at the plot level, and expressed per square meter
per plot. Values were then compiled over the entire study
site. Finally, Mann–Whitney nonparametric tests were per-
formed for three distance classes (i.e., 0–1 m; 1–2 m, and 0–
2 m) to test for differences in macromycete fruiting patterns
between Q. ilex and Arbutus unedo.
Third, we examined qualitatively and quantitatively the ef-
fect of canopy gaps on the fruiting fungal community. Ten
canopy gaps were identified over the entire transect based on
the presence of fallen Q. ilex trunks above the ground. The
decaying trunk in each gap was mapped at a 0.1-m accuracy.
Five concentric zones (Z1–Z5; 1–5 m in radius) centred
on the tree trunk were simulated using Arcview software
(Fig. 1c). Fruitbody abundances and species richness were
calculated at the subplot level in each zone. A Kruskal–
Wallis nonparametric test was performed with five distance
classes, each corresponding to one of the five zones. This
statistical test was done for (i) the whole ECM fungal com-
munity, (ii) the whole saprobic community, (iii) abundant
species (ECM and saprobic) that produced more than 30
fruitbodies during the period 1999–2002, and (iv) saprobic
species known to have some wood-decaying abilities such as
Armillaria mellea (Vahl: Fr.) Kumm..
Classification of ECM taxa based on life history traits
We documented seven life history traits for each of the
128 well-identified ECM species or subspecies (Table A1).
Three traits were caused by temporal variation in fruitbody
production: (i) duration (days) of the fruiting period, (ii)pe
-
riodicity (number of days between the production peak and
the beginning of the fruiting season), and (iii) fluctuation
from one year to another. The last four traits included
(1) abundance (number of fruitbodies per 100 m2plot),
(2) spatial frequency (i.e., number of 100 m2plots in which
a species is present), (3) mean diameter of the fruitbody cap,
and (4) host range. Traits 3 and 4 were documented using
compiled litterature from Bon (1988) and P.-A. Moreau’s
unpublished data for rare species. A multivariate Hill and
Smith analysis (Hill and Smith 1976) was performed on
qualitative and quantitative traits using the software package
ADE-4 (Thioulouse et al. 1997). The Ward’s linkage method
based on Euclidian distances (Ward 1963) was then used to
define groups of taxa. Their significance was assessed using
a random permutation test with 1000 permutations (Manly
1997). Finally, using Mann–Whitney nonparametric tests we
investigated the relationship among the life history traits that
we identified as being discriminating using results from the
multivariate analysis.
Results
Diversity of the macrofungal communities
As a result of 78 weekly surveys over three consecutive
fruiting seasons (in the period 1999–2002), we recorded
5382 fruitbodies of macromycetes. A total of 234 species
were found, including 166 ECM taxa (Sm) and 68 taxa (Ss)
of saprobic fungi (Table 1). In contrast, only 19 angiosperm
species were collected out of 36 Embryophytes (data not
shown). In addition to this low plant diversity, the vegetation
survey showed that the ECM plants at our site consisted only
of Q. ilex and Arbutus unedo, with the exception of two
small individuals of Cistus.
The ECM fungal community was represented by 25 gen-
era of Basidiomycetes (22) and Ascomycetes (3), out of
3659 collected fruitbodies (Fig. 2a). Members in the family
Russulaceae accounted for 40.5% of the fruitbodies and
31.9% of the taxonomic diversity. At the genus level, three
main patterns were observed: (i) species-rich and highly pro-
ductive genera, e.g., Russula and Amanita,(ii) species-rich
but unproductive genera, e.g., Tricholoma and Cortinarius
(23.5% of Smand 6.7% of the ECM fruitbody production);
and (iii) species-poor but highly productive genera, e.g.,
Lactarius and Hydnum (Fig. 2a). The ECM community was
also strongly dominated by rare species with more than
60.8% of the taxa (101 out of 166) producing less than 1
fruitbody per 1000 m2on average (Fig. 3, Table A1). At the
other extreme of the rank–abundance curve, the three domi-
nant species, Laccaria laccata (Scop.: Fr.) Berk. & Broome,
Lactarius chrysorrheus Fr, and Inocybe tigrina R. Heim,
produced 32.9% of all fruitbodies (Fig. 3, Table A1).
The saprobic taxa were distributed over 31 genera of
Basidiomycetes (28) and Ascomycetes (3), out of 1723 col-
lected fruitbodies (Fig. 2b). The community was mainly
composed of Marasmiaceae (44.7% of the total fruitbody
number). The two most abundant species were Mycena
vitilis (Fr.) Quél. and Lycoperdon perlatum Pers.: Pers.,
which together produced 30% of saprobic species
fruitbodies. As for ECM fungi, rare taxa also dominated this
community since 58.8% of taxa (40 out of 68) produced less
than 1 fruitbody per 1000 m2on average (Fig. 3, Table A2).
The Shannon–Wiener information index (H′), the
Simpson’s diversity index (D), and the Fisher’s alpha value
were high (relative to other diversity studies) using either
© 2004 NRC Canada
Richard et al. 1715
Diversity index ECM community Saprobic community
Shannon–Wiener information index ( ′
H)
Using abundance 5.48 4.33
Using frequency 5.98 4.98
Simpson’s diversity index (D)
Using abundance 0.953 0.918
Using frequency 0.975 0.948
Fisher’s alpha value (α) 36.51 14.31
Richness (S) 166 68
Table 1. Estimators of diversity for the ECM and saprobic fungi.
fruitbody abundance or frequency (Table 1). They were also
greater for ECM than for saprobic fungi.
Spatial patterns of species and fruitbodies
The Mantel’s test showed a low rvalue and a significant
autocorrelation at the plot level for ECM fungi, using
Jaccard’s and Sorensen’s coefficients (r= 0.079, p= 0.030
and r= 0.076, p= 0.047, respectively). These results suggest
that community similarity remains nearly constant as the
interplot distance increases. No spatial autocorrelation was
found for saprobic fungi (r= –0.011, p= 0.380 and r=
−0019. ,p= 0.310 using Jaccard’s and Sorensen’s coeffi-
cients, respectively).
Fruitbodies were unevenly distributed on the study site.
We found a few highly productive plots and numerous un-
productive plots. For example, clustered fruiting was ob-
served in two groups of adjacent plots (i.e., A3 + B2 + B3
and A7 + B7, Fig. 1b) that harboured 18% of the ECM
fruitbody production (i.e., twice the expected number of
fruitbodies in an assumed uniform area of the same size).
These plots were also species-rich since they included 66%
of the taxa (i.e., 2.4 times the expected number). In contrast,
four groups of plots (i.e., C1 + D1 + D2 + D3 + D4, C7 +
D7, A8 + B8 + D8, and D11, Fig. 1b) covering 1100 m2
(17.2% of the transect) exhibited only 5.1% of the total
ECM fruitbody production (three times less than the mean
production). Such unproductive plots were generally
species-poor and typically contained 6–8 ECM taxa (data
not shown); they were mainly observed in zones with screes
at ground level. For saprobic fungi, three plots (i.e., C4, B7,
and A12, Fig. 1b) covering 4.7% of the total area exhibited
28.8% of the fruitbody production while 32 others (50% of
the total area) accounted for only 10.8% of the production.
Rare species were evenly encountered in the 6400 m2
Q. ilex stand. They were scattered in 87.5% (56 out of 64)
and 62.5% (40 out of 64) of the 100 m2plots for ECM and
saprobic species, respectively (data not shown). In contrast,
abundant species (i.e., those that produced more than 64
fruitbodies over 3 years) were not regularly distributed. Of
the 12 abundant ECM species, nine occurred in half of the
100 m2plots or more, but none fruited in all plots (Table A1,
column 4). As revealed by the Besag function, the distribu-
tion of fruitbodies of these abundant species was mainly
aggregative with the exception of two ECM taxa, Russula
delica and Russula olivacea, and two saprobic fungi,
Mycena vitilis and Mycena alcalina (Table 2). The ECM ag-
gregates ranged from 20 m2for Laccaria laccata to 200 m2
for Russula fragilis. At the community level, aggregates
were also found consistently each year, except year 2 for
saprobic fungi (Table 2). ECM aggregates covered a 12- to
50-m2area in average.
Production and species richness in relation to
vegetation coverage, number of layers, and ECM host
density
Negative correlations were found between the fungal com-
munity and the number of vegetation layers (with the excep-
tion of saprobic production) (Table 3). These results suggest
that the fruiting fungal community may respond to canopy
closure. In addition, ECM richness was negatively correlated
to Q. ilex density but positively correlated to Arbutus unedo
density (Table 3), suggesting a potential (but distinct) role of
these two ECM hosts on fungal diversity. A similar pattern
was also observed for the saprobic fungi as richness was
negatively correlated to Q. ilex density and coverage (Ta-
ble 3). A negative correlation was also found between pro-
duction of saprobic fungi and total vegetation coverage.
Production and species richness in relation to the
presence of Q. ilex and Arbutus unedo
No significant difference was observed in ECM species
richness and fruitbody abundance between Arbutus unedo
© 2004 NRC Canada
1716 Can. J. Bot. Vol. 82, 2004
Fig. 2. Relative abundance of fruitbodies (filled bars) and rela-
tive species diversity (open bars) of the most abundant genera
for ECM fungi (a) and saprobic fungi (b).
Fig. 3. Dominance–diversity curves for ECM (䉱) and saprobic
(ⵧ) taxa of macrofungi. Most frequent species to least frequent
ones are ordered from left to right.
and Q. ilex (Table 4). However, some ECM species fruited
preferentially (significant differences by Mann–Whitney
nonparametric tests) either near Q. ilex (e.g., Russula
decipiens,Russula acrifolia, and Sarcodon cyrneus), or near
Arbutus unedo (e.g., Inocybe geophylla var. lilacina,
Leccinum corsicum,Tricholoma ustale, and representatives
of the genus Inocybe) (data not shown). In addition, taxa
such as Leccinum corsicum or Inocybe cervicolor were al-
ways absent from Q. ilex stem vicinity.
In contrast to ECM fungi, a clear distinction was observed
for saprobic fungi between these two woody plants.
Fruitbody abundance was higher near Arbutus unedo shrubs
(within the first 2 m) than near Q. ilex trees (Table 4). Spe-
cies were also more numerous (Table 4). Many of them such
as Calocybe carnea,Clavulina cinerea, and Clitocybe
odorata tended to fruit more frequently close to Arbutus
unedo than in other areas (data not shown).
Production and species diversity in relation to the
presence of canopy gaps
Fruiting patterns were analysed at various distances
(zones Z1–Z5, Fig. 1c) from fallen Q. ilex trunks. In Z1,
ECM fruitbody production and species richness were respec-
tively 27% and 31% higher than outside gaps (Fig. 4a). Spe-
cies richness and production were also significantly
enhanced for saprobic fungi in Z1, i.e., within the first meter
around the dead trunk (Fig. 4b). In the four following meters
(from Z2 to Z5), values decreased drastically for both eco-
logical groups, suggesting a strong and localized effect in
the nearby proximity of the decaying trunk. Thus, the ECM
community was 42% less productive in Z4 and 40% less di-
verse in Z5 than it was outside gap (at >5 m away; Fig. 4a).
At the species level, differences in fruitbody production
were also detected between gap and non-gap areas (Table 5).
Some ECM species were highly productive in gaps, others
were absent or rarely encountered. For example, Russula
vesca,Russula persicina var. rubrata, and Lactarius
rubrocinctus produced two to nine times more fruitbodies in
Z1 than in the non-gap area. In contrast, another set of abun-
dant taxa (e.g., Laccaria laccata,Russula chloroides, and
Inocybe geophylla) and species of the genus Hebeloma were
absent or weakly represented in gaps. A similar pattern was
observed for saprobic species. Production of well-known
wood-decaying species such as Armillaria mellea,Leuco-
paxillus gentianeus, and Leucopaxillus tricolor was particu-
© 2004 NRC Canada
Richard et al. 1717
Aggregative spatial pattern
Random spatial
pattern
Whole community
Ectomycorrhizal Season 1 (12), 2 (27), 3 (50 and 710), and all three seasons (50)
Saprobic Season 1 (50), 3 (50 and 615), and all three seasons (no clear scale) Season 2
Abundant taxa
Ectomycorrhizal Laccaria laccata (20), Lactarius chrysorrheus (50), Inocybe tigrina (20), Hydnum repandum
(150), Russula acrifolia (30), Hygrophorus russula (50), Russula risigallina (30), Russula
fragilis (200), Tricholoma saponaceum (80), Cortinarius elatior (50)
Russula olivacea,
Russula delica
Saprobic Lycoperdon perlatum (250), Entoloma nidorosum (400), Clavulina cinerea (590), Collybia
butyracea (200), Clitocybe gibba (no clear scale), Collybia dryophila (10), Mycena pura
(250)
Mycena vitilis,
Mycena alcalina
Note: The size (in square meters) of aggregates is given in parentheses.
Table 2. Spatial patterns of fruitbodies using the Besag function (Besag and Diggle 1977).
Fig. 4. Fruitbody production (top bars) and species diversity
(bottom bars) of macrofungi in canopy gaps versus closed can-
opy forest (>5 m from fallen trunk) at the subplot level.
(a) ECM species. (b) Saprobic species. Means followed by the
same letter do not differ significantly at the 5% level. Error bars
are standard deviations.
larly important in gaps (Table 5). For example, 25 out of 26
Armillaria mellea fruitbodies were collected in Z1, and 41
out of 42 Leucopaxillus gentianeus fruitbodies occurred in
Z1, Z2, and Z3 (data not shown). Conversely, despite its
abundance (Table A2), the litter-decaying species Collybia
butyracea was rarely found in gaps, and never in the first
three zones (Table 5).
Grouping of ECM fungi based on host specificity and
life-history traits
The ECM community included species reported to associ-
ate with (i) a large range of angiosperms (e.g., Scleroderma
verrucosum and Russula amoenicolor), (ii) trees in the fam-
ily Fagaceae (e.g., Russula grisea), and (iii) various species
of oaks (e.g., Lactarius chrysorrheus and Hygrophorus
russula) (Table A1). It also included broad host range spe-
cies (e.g., Laccaria laccata and Amanita phalloides)re
-
ported to associate with both Angiosperms and
Gymnosperms. Furthermore, the community contained a
small group of species restricted to Mediterranean Q. ilex
forests (11 taxa, e.g., Russula laricino-affinis and Sarcodon
cyrneus), chaparrals (5 taxa, e.g., Russula cistoadelpha and
Amanita gioisa), or other thermophilic angiosperm forests
(17 taxa, e.g., Boletus aereus and Cortinarius caligatus).
This entire group of habitat-restricted species encompassed
25.9% of the species richness and 9.9% of the fruitbody pro-
duction.
Out of 128 identified taxa, 3 (i.e., Laccaria laccata,
Inocybe tigrina, and Lactarius chrysorrheus) were clearly
separated from the others based on a Hill and Smith
multivariate analysis (data not shown). These three species
(group A, Table A1) were very abundant in the stand. We
excluded them from a second multivariate analysis aiming to
separate the remnant species. In this new analysis, the first
two factorial axes accounted for 22.2% (F1) and 10.8% (F2)
of the total variability, respectively. Two groups of traits ap-
peared to be opposed along the F1 axis: high abundance,
high frequency, regular fruitbody production from one year
to another, and broad host range (positive scores) versus low
abundance, low frequency, high fluctuation in fruitbody pro-
duction from one year to another, and narrow host range
(negative scores) (Figs. 5aand 5b). The F2 axis further sepa-
rated thermophilic and chaparral linked species from species
with other ecological specificity. The other axes did not add
further information (Eigenvalues < 9%, data not shown).
Among the 125 ECM taxa, five new groups (B to F) were
distinguished using the Ward’s method (Fig. 5c, Table A1).
Random permutation tests performed on these groups
showed that within-group inertia was significantly higher
than between-group inertia (p< 0.001). Groups B, C, and D
(92 taxa) were dominated by species that (i) were mainly
broad host range, (ii) fruited regularly (i.e., observed in ei-
ther 2 or 3 years), and (iii) produced a large number of
fruitbodies. In contrast, groups E (mainly chaparral re-
stricted) and F (mainly Q. ilex linked or thermophilic) en-
compassed 33 species mainly linked to Mediterranean hosts
and producing episodically a few fruitbodies (Table A1).
Mann–Whitney nonparametric tests (including all groups,
from A to F) confirmed that thermophilic species as well as
those frequently encountered in Q. ilex forest or in chapar-
rals (Table A1) had distinctive characteristics. They pro-
© 2004 NRC Canada
1718 Can. J. Bot. Vol. 82, 2004
ECM fungi Saprobic fungi All macrofungi
Production Richness Production Richness Production Richness
Q. ilex density* –0.134 (0.290) –0.298‡(0.017) 0.202 (0.109) –0.340‡(0.006) –0.215 (0.088) –0.350‡(0.005)
Arbutus unedo density* 0.139 (0.274) 0.244‡(0.050) –0.122 (0.336) 0.075 (0.554) 0.004 (0.978) 0.213 (0.091)
Q. ilex coverage –0.153 (0.226) –0.234 (0.063) –0.182 (0.151) –0.342‡(0.006) –0.213 (0.091) –0.302‡(0.015)
Chaparral coverage 0.049 (0.698) 0.216 (0.087) –0.078 (0.543) 0.233 (0.064) –0.021 (0.868) 0.249‡(0.047)
(Q. ilex + chaparral) coverage –0.083 (0.515) 0.033 (0.796) –0.252‡(0.044) –0.045 (0.724) –0.217 (0.085) 0.009 (0.946)
Total number of layers†–0.254‡(0.043) –0.298‡(0.017) –0.237 (0.059) –0.453§(0.000) –0.311‡(0.012) –0.298§(0.001)
Note: Quantification of the relationships was performed using Pearson’s correlations coefficients at the plot level. Probability (p) values are given in parentheses.
*Density was defined as the number of Q. ilex or Arbutus unedo individuals per 100 m2plot.
†For each vegetation entity, we only considered layers that represented at least 10% coverage.
‡Significant correlation at p< 0.05.
§Significant correlation at p< 0.001.
Table 3. Relationships between the fruiting fungal community and forest structure including Quercus ilex and Arbutus unedo density and coverage, and number of layers.
© 2004 NRC Canada
Richard et al. 1719
duced significantly fewer fruitbodies (p= 0.011), less
frequently (p= 0.007), and less regularly (p= 0.003) than
species that are not restricted to a Mediterranean habitat (Ta-
ble A1). They also had a shorter fruiting period (p= 0.014).
No additional difference was found between these two
groups of species in fruitbody size or in other phenological
characteristics.
Discussion
ECM richness, fruitbody productivity, and species
composition
Only a few studies have dealt with fungal diversity associ-
ated with Q. ilex (Signorello 1996; Laganà et al. 1999) but
none of them in old-growth forests. Our results show that es-
timates of taxonomic diversity in Q. ilex old-growth forests
are likely to be tremendously high, especially when consid-
ering the large number of rare species found at our site
(61.4% of the ECM community), the limited size of our
sampling site (6400 m2), and the limited duration of our sur-
vey (3 consecutive fruiting seasons). Thus, species richness
was high (S= 166; Table 1) with respect to the low number
of ectomycorrhizal hosts and the low productivity of the
fungal community during the survey period. However, this
value is consistent with others reported from old-growth co-
nifer forests. For example, O’Dell et al. (1999) and Smith et
al. (2002) found 150 and 133 ECM species in Douglas-fir
(Pseudotsuga menziesii Mirb.) and Western hemlock (Tsuga
heterophylla (Raf.) Sarg.) stands of similar sizes, respec-
tively. Furthermore, in a comparison of Norway spruce
(Picea abies L.) forests of different ages, the highest ECM
fungal diversity was observed in the oldest, 200-year-old
stand (Peter et al. 2001).
In our stand, two ECM hosts (i.e., Q. ilex and Arbutus
unedo) shared 166 fungal symbionts, without taking into ac-
count either hypogeous or resupinate taxa, such as
0–1 m from tree 0–2 m from tree 1–2 m from tree
Q. ilex A. unedo Q. ilex A. unedo Q. ilex A. unedo
ECM fungi
Production 0.379±0.064a 0.477±0.071a 0.396±0.049a 0.427±0.039a 0.415±0.060a 0.409±0.037a
Richness 0.242±0.039a 0.248±0.027a 0.218±0.022a 0.210±0.015a 0.236±0.027a 0.224±0.018a
Saprobic fungi
Production 0.117±0.063a 0.187±0.088a 0.069±0.021a 0.202±0.045b 0.045±0.010a 0.210±0.051b
Richness 0.047±0.011a 0.071±0.018a 0.037±0.006a 0.059±0.008b 0.032±0.007a 0.059±0.007b
Note: Numbers are means per square meter at plot level ± SD (n= 64). For each of three distance classes, values followed by different letters indicate
a significant difference based on Mann–Whitney nonparametric tests (p< 0.05).
Table 4. Production and species richness at various distances from individuals of Quercus ilex (n= 108) and Arbutus unedo (n= 227).
Distance from fallen trunk in canopy gaps
Species Z1 (0–1 m) Z2 (1–2 m) Z3 (2–3 m) Z4 (3–4 m) Z5 (4–5 m)
Closed canopy
forest (>5 m)
ECM species
Inocybe tigrina 10.09 12.9 6.97 2.45 7.26 4.84
Russula vesca 2.29* 0.72 0 0 0.24 0.23
Russula persicina var. rubrata 1.38 1.79* 0.61 0 0.97 0.46
Russula globispora 1.83 0.71 0.61 0.54 0.24 0.71
Russula fragilis 2.29 1.43 0.61 0.27* 0.48 1.38
Cortinarius elatior 1.83 0.36 0 1.09 0.97 1.11
Lactarius rubrocinctus 1.83 1.08 0.91 0.27 0 0.61
Laccaria laccata 0.46 1.43 2.12 1.36 0.97 7.58
Russula chloroides 0 0 1.21 0.27 0 1.23
Inocybe geophylla 0 0.36 0.91 0.27 0.48 1.06
Whole genus Hebeloma 0.46 0 0 0 0 0.63
Saprobic species
Armillaria mellea 11.47* 0 0 0 0 0.02
Leucopaxillus gentianeus 1.38 0.36 10.3* 0 0 0.02
Leucopaxillus tricolor 1.83* 0 0 0 0 0.02
Collybia butyracea 0 0 0 0.82 0 1.86
Note: Five distance classes corresponding to the five concentric zones in Fig. 1cwere identified in canopy gaps. They range from 0 to
5 m from the fallen trunk in each gap.
*Significantly different according to Kruskal–Wallis nonparametric tests at p< 0.05.
Table 5. Mean numbers of fruitbodies per 100 m2in gaps (n= 10) and the closed canopy forest for the most abundant
ECM and saprobic species.
Thelephoraceae and Sebacinaceae. The ECM fungal com-
munity was 4.6 times more diverse than the whole plant
community, including nonvascular plants (data not shown).
Most reported ratios from other forests are lower. They gen-
erally range from 0.2 to 1.8 ECM species per vascular plant
species (e.g., in deciduous forests dominated by alder (Brun-
ner et al. 1992), oak (Schmit et al. 1999), or birch
(Villeneuve et al. 1989)). However, Dahlberg et al. (1997)
found a ratio of 3.7 in an old-growth Norway spruce forest.
Various factors could account for such a high ratio in our
stand: (i) historical legacy of ECM fungal diversity and
(ii) extreme abiotic factors or strong environmental fluctua-
tions leading to species-rich assemblages (Whittaker 1972;
Huisman and Weissing 1999). For example, in a study of
© 2004 NRC Canada
1720 Can. J. Bot. Vol. 82, 2004
Fig. 5. Hill and Smith (1976) multivariate analysis. (a) Correlation circle for quantitative variables. (b) Position of modalities for quali-
tative variables. (c) Distribution of species groups.
hypogeous and epigeous Gasteromycetes from different sites
in the Sonora region, a surprisingly high diversity was found
in the tropical thorn forest, an extremely xeric habitat, 88.6%
of which was covered by a single plant species (Esqueda-
Valle et al. 2000). Additional factors could also drive such
a diversity at local scale by limiting competitive exclusion
among fungal species; they include unrecognized limiting fac-
tors or environmental heterogeneities (Tilman 1992) and
antagonistic interactions (Czárán et al. 2002). Later on, we
discuss environmental heterogeneities in fruiting patterns
linked to forest structure and composition.
Another noteworthy feature was the low fruitbody produc-
tivity of the ECM community (a feature also shared by
saprobic species) (Fig. 3). Most ECM species were repre-
sented by less than 1 fruitbody per 1000 m2(Table A1). This
low productivity together with the high species diversity lead
to particularly high values of diversity indexes (Table 1).
Similarly, Bills et al. (1986) and Villeneuve et al. (1989) ob-
tained high Shannon’s entropy values (ranging from 4.1 to
5.0) for the ECM fruiting community from old hardwood
stands. Peter et al. (2001) also reported a high Simpson’s in-
dex value (0.95) in a 200-year-old Norway spruce forest.
Finally, Smith et al. (2002) demonstrated that old-growth
Douglas-fir stands were as diverse as young forest with
closed canopy, but six times less productive.
The ECM community in our Q. ilex stand was very simi-
lar to that described by Skirgiello (1998) in another Euro-
pean old-growth hardwood forest in Bia»owieóa (Poland).
Striking similarities included (i) the high number of species
of Russula and Cortinarius,(ii) the low productivity of most
Cortinarius species, and (iii) the high abundance of
Laccaria laccata. In our stand, species of Russula and
Cortinarius accounted for 50% of the taxonomic diversity
(Fig. 2a). Species of Cortinarius represented only 6.7% of
the total ECM fruitbody production (Fig. 2a) and Laccaria
laccata was one of three most abundant producers (Table
A1). Similar trends in species composition have been ob-
served in conifer forests. For example, the genera Russula,
Cortinarius, and Inocybe accounted for 49% of fruitbody
collections and about 52% of taxonomic diversity in an old-
growth stand of Douglas-fir (Smith et al. 2002). However,
our results differ from other studies undertaken in coniferous
dominated old-growth stands, in which species of
Cortinarius were the most abundant producers, but neither
species of Russula nor other taxa were abundant (Dahlberg
et al. 1997; Peter et al. 2001). In our forest, the genus
Russula alone represented more than 25% of the number of
fruitbodies and species diversity. In summary, the genera
Russula and Cortinarius often dominate most fruiting ECM
communities. This result may be explained because
fruitbodies of these fungi are usually easy to detect in the
field and because these two genera also encompass a very
large array of species with diverse ecological requirements.
The predominance of Russula in a deciduous sclerophyllous
forest is interesting although this result requires additional
investigations to confirm that Russula spp. also dominate the
nonfruiting ECM community in the northern hemisphere.
Several life-history traits allowed us to separate the ECM
community into six distinct components that a posteriori ap-
peared to differ mainly by fruitbody abundance and host
specificity (Table A1). Two striking results emerged from
this classification: (i) in this Mediterranean forest, the ECM
diversity essentially encompassed broad host range species
with temperate affinities and (ii) a weak Mediterranean com-
ponent was composed of species that fruited less regularly
and less abundantly than temperate taxa. Nearly 90% of
fruitbodies were produced by temperate fungal species. A
similar trend was already reported by Norstedt et al. (2001)
in a polypore survey in endemic Corsican pine forests. More
than 56% of species were also encountered in northern Eu-
rope. The abundance of species with large geographical dis-
tribution may be explained by long-distance fungal dispersal
and (or) historical legacies. Alternatively, taxonomic and
methodological limitations may bias our view of the fungal
diversity and thus the ratio between Mediterranean and tem-
perate fungal taxa. Much of the fungal diversity remains to
be described (Hawksworth 2001) and many cosmopolitan
taxa may in fact cover several cryptic species, including
some restricted to the Mediterranean region. Finally, Medi-
terranean species may have an erratic fruiting pattern that
does not reflect their true diversity and abundance in soil
and on tree roots. Thus, as mentioned earlier, below ground
communities (i.e., those observed from mycorrhizae and my-
celia in the soil) would have to be explored to obtain a com-
prehensive overview of the ECM community.
ECM versus saprobic fungi
Overall, the ECM fungi appear 2.4 times more diverse and
2.1 times more productive than saprobes. This lack of diver-
sity and productivity in decomposers species is surprising
since accumulation of favourable substrates is likely to occur
in an old-growth forest (Ohlson et al. 1997). This result may
be explained by (i) our limited sampling of the decomposer
community that excludes wood-decaying fungi, (ii) differen-
tial responses to dry environmental conditions between ECM
fungi and saprobes, and (or) (iii) the relatively low C/N ratio
of the organic layer (ranging from 24 to 28; data not shown)
that would favour ECM fungi but not decomposers.
Spatial distribution of fruitbodies and species
At both the community and species level, we observed
aggregative distributions of ECM fruitbodies on areas of var-
ious sizes (Table 2). This has been described in a few studies
addressing the spatial distribution of epigeous and
hypogeous ECM species (Fogel 1976; Yamada and Katsuya
2001). For example, Yamada and Katsuya (2001) reported
an uneven distribution of fruitbodies for the most abundant
epigeous ECM species in Pinus densifolia reforested stands.
The presence of fruitbody aggregates among ECM fungi
may be indicative of a higher local activity of mycelia and
mycorrhizae in relation to soil heterogeneity and (or) host
root distribution. As a comparison, the saprobic community
did not show scales of fruitbody aggregation as clear as
those observed for ECM fungi (Table 2), suggesting differ-
ences in fruiting determinism between these two ecological
fungal groups and (or) differences in the spatial distribution
of mycelia.
A significant spatial autocorrelation was found among
ECM taxa using Mantel’s test, but it was lower than values
obtained in other studies of fruiting ECM communities
© 2004 NRC Canada
Richard et al. 1721
(Schmit et al. 1999; Peter et al. 2001). Thus, community
composition did not drift away with distance. This can be
explained by the large number of rare species with a high
spatial equitability (Crawley 1997). Overall, our results en-
tail methodological considerations with regard to the best
sampling strategy as follows: (i) new species appear slowly
as the sampled area increases, (ii) spreading out sampling
plots is unlikely to increase the capturing of rare ECM spe-
cies, and (iii) sampling few adjacent and productive plots
may be as effective as sampling discontinuous heteroge-
neous areas to characterize most of the fruiting ECM com-
munity. These recommendations are applicable to a lesser
extent to saprobic fungi as they did not show any significant
spatial autocorrelation and species appeared somewhat less
clustered than ECM fungi on average (Table 2).
Fungal diversity and productivity in relation to forest
structure and composition
Diversity and productivity of the ECM fruiting commu-
nity decreased significantly as the number of forest layers
increased (Table 3). This response is similar to the well-
known canopy closure effect on fruiting (Jansen and de Nie
1988; Vogt et al. 1992). In addition, species diversity was in-
fluenced by tree and shrub density (Table 3). Species diver-
sity decreased as the number of Q. ilex trees increased and
was positively correlated to the density of Arbutus unedo
shrubs. In addition, some species in the ECM community
were preferentially encountered near Q. ilex or near Arbutus
unedo (data not shown). We concluded that ECM diversity
and productivity are pro parte shaped by the ECM host and
forest structure, as already shown by Nantel and Neumann
(1992) and Såstad (1995) using fruitbodies, and by
Kernaghan et al. (2003) on ectomycorrhizae. No further cor-
relation was found between ECM fruiting patterns and other
vegetation descriptors (Tables 3 and 4).
As observed for ECM species, fruiting patterns of
saprobic species were sensitive to changes in vegetation
structure and composition (Tables 3 and 4). They were
highly diverse and abundant under chaparral canopy and de-
creased drastically as number and coverage of Q. ilex in-
creased, suggesting a possible response of these fungi to
litter quality.
Role of natural canopy gaps on fungal diversity and
productivity
Our results show a strong and localized effect of gaps on
fruiting (Fig. 4; Table 5) for both symbiotic and saprobic
guilds. ECM fruiting was higher quantitatively (+27%) and
qualitatively (+31%) near the decaying tree trunks (Fig. 4a).
A similar pattern was detected for saprobic fungi with wood-
decay abilities (Table 5, Fig. 4b). We also found that some
ECM species (e.g., the early-stage Laccaria laccata) were
poor producers in gaps, while six species belonging to late-
stage ECM genera (Russula,Lactarius, and Cortinarius)
were consistently very abundant within the first meter
around the fallen Q. ilex trunk (Table 5). These later species
might have the ability to acquire carbon from large woody
debris in addition to photosynthates from their living hosts.
Interestingly, abundant litter decomposers such as Collybia
butyracea were always found outside the gaps in contrast to
several saprobic species with wood decaying abilities (Ta-
ble 5). Alternative explanations to the observed diversity
patterns in gaps include shifts in abiotic conditions. Thus,
light level on the forest floor is known to increase with can-
opy opening, including in small gaps (Chazdon and Fetcher
1984; Canham et al. 1990). This, in turn, affects soil temper-
ature, soil nutrients, and soil moisture (Mehus 1986; Mc
Carthy 2001). These changes in abiotic conditions have the
potential to drive the physiological and metabolic activities
of the fungal symbionts and, as a result, the diversity and
productivity of the entire fruiting community. Regardless of
the mechanisms involved, our results highlight the role of
canopy gaps as favourable habitats for ECM fungi in an old-
growth sclerophyllous forest. Moreover, these results con-
firm the primary importance of large woody debris for the
conservation and management of the fungal diversity in
Q. ilex forests, as shown in other ecosystems (Harvey et al.
1978; Goodman and Trofymov 1998; Tedersoo et al. 2003).
Conclusions and perspectives
Our sampling protocol was aimed at producing a fair im-
age of a local macromycete fruiting community in terms of
taxonomic composition. Results suggest that Mediterranean
old-growth forests are of great interest for conservation of
the species diversity of ECM fungi, as shown by the unusual
high richness and diversity of the fruiting community in our
6400-m2study site. The paradox of a few tree species asso-
ciated with a large array of ECM fungal species, already de-
scribed in temperate ecosystems (Malloch et al. 1980),
applies to Mediterranean ecosystems, but we also found evi-
dence of a partial determinism of forest structure and host
dynamics in building various niches, mainly through gaps
created by fallen trees. Future work will include a descrip-
tion of below ground communities to obtain a more compre-
hensive view of the diversity. Comparisons with other sites
should also be attempted on the basis of parameters such as
Fisher’s alpha index or the species accumulation curve. Fur-
ther investigations are required to understand mechanisms
affecting the diversity and fruiting of fungal species. An-
other intriguing question is the ecological role of this ECM
diversity and its possible feedback on host tree dynamics.
Acknowledgements
This study is part of F. Richard’s Ph.D thesis dealing with
the diversity and role of ECM fungi in Q. ilex forests in rela-
tion to plant succession. We thank the Société Mycologique
d’Ajaccio and especially A. Tristani for help with the pre-
liminary identifications of fungal collections, the Parc Natu-
rel Régional de Corse (P.N.R.C), the Office National des
Forêts in Corte, and P. Pozzo di Borgo, M. Figarella, J.
Alessandri, and P. Lepaulmier for providing facilities and
encouragement. We are also grateful to C. Panaïotis who
helped us to initiate this Q. ilex thesis project, to G. Eys-
sartier for identification of numerous Cortinarius species,
to L. Riche for data entry and GIS analyses, to J. Chave for
critical advice on statistical analyses of community diversity
and spatial patterns, and to A. Lecerf for many helpful sug-
gestions with the ADE-4 software. A. Ramelot, J. Jacquot,
and H. Gryta helped us to collect fungi. Funding was
provided by the Office National des Forêts (O.N.F.), the
© 2004 NRC Canada
1722 Can. J. Bot. Vol. 82, 2004
Ministère de l’Ecologie (D.I.R.EN. Corse), and the Col-
lectivité Territoriale de Corse (C.T.C.) to F. Richard. We fi-
nally thank two anonymous reviewers and S. Berch for their
constructive comments that greatly improved this manu-
script.
References
AFES. 1995. Référentiel pédologique. Collections Techniques et
pratiques, INRA Editions, Paris.
Baar, J., Horton, T.R., Kretzer, A.M., and Bruns, T.D. 1999.
Mycorrhizal colonization of Pinus muricata from resistant
propagules after a stand-replacing wildfire. New Phytol. 143:
409–418.
Berglund, H., and Jonsson, B.G. 2001. Predictability of plant and
fungal species richness of old-growth boreal forest islands. J.
Veg. Sci. 12: 857–866.
Besag, J.E., and Diggle, P.J. 1977. Simple Monte Carlo tests for
spatial patterns. Appl. Stat. 26: 327–333.
Bills, G.F., Holtzman, G.I., and Miller, O.K., Jr. 1986. Comparison
of ectomycorrhizal-basidiomycete communities in red spruce
versus northern hardwood forests of West Virginia. Can. J. Bot.
64: 760–768.
Bon, M. 1988. Champignons de France et d’Europe occidentale.
Arthaud, Paris.
Brunner, I., Brunner, F., and Laursen, G.A. 1992. Characterization
and comparison of macrofungal communities in an Alnus
tenuifolia and an Alnus crispa forest in Alaska. Can. J. Bot. 70:
1247–1258.
Canham, C.D., Denslow, J.S., Platt, W.J., Runkle, J.R., Spies, T.A.,
and White, P.S. 1990. Light regimes beneath closed forest cano-
pies and tree-fall gaps in temperate and tropical forests. Can. J.
For. Res. 20: 620–631.
Casgrain, P., and Legendre, P. 2001. The R package for
multivariate and spatial analysis. Version 4.0 d5. User’s manual.
Département des sciences biologiques, Université de Montréal,
Montréal.
Chazdon, R.L., and Fetcher, N. 1984. Photosynthetic light environ-
ments in a lowland tropical rainforest in Costa Rica. J. Ecol. 72:
553–564.
Connell, J.H. 1978. Diversity in tropical rain forests and coral
reefs. Science (Washington, DC), 199: 1302–1310.
Cowling, R.M., Rundel, P.W., Lamont, B.B., Arroyo, M.K., and
Arianoutsou, M. 1996. Plant diversity in mediterranean-climate
regions. Tree, 11: 362–366.
Crawley, M.J. 1997. Plant ecology. 2nd ed. Blackwell Science Inc.,
Malden, Massachusetts.
Czárán, T.L., Hoekstra, R.F., and Pagie, L. 2002. Chemical warfare
between microbes promotes biodiversity. Proc. Natl. Acad. Sci.
U.S.A. 99: 786–790.
Dahlberg, A., Jonsson, L., and Nylund, J.E. 1997. Species diversity
and distribution of biomass above and below ground among
ectomycorrhizal fungi in an old-growth Norway spruce forest in
south Sweden. Can. J. Bot. 75: 1323–1335.
Dahlberg, A., Schimmel, J., Taylor, A.F.S., and Johannesson, H.
2001. Post-fire legacy of ectomycorrhizal fungal communities in
the Swedish boreal forest in relation to fire severity and logging
intensity. Biol. Conserv. 100: 151–161.
Deacon, J.W., and Fleming, L.V. 1992. Interactions of
ectomycorrhizal fungi. In Mycorrhizal functioning, an integra-
tive plant-fungal process. Edited by M.F. Allen. Routledge,
Chapman and Hall, New York. pp. 249–300.
Esqueda-Valle, M., Perez-Silva, E., Herrera, T., Coronado-
Andrade, M., and Estrada-Torres, A. 2000. Gasteromycete com-
position in a vegetation gradient in Sonora, Mexico. An. Inst.
Biol. Univ. Nac. Auton. Mex. 71: 39–62.
Fisher, R.A., Corbet, A.S., and Williams, C.B. 1943. The relation
between the number of species and the number of individuals in
a random sample of an animal population. J. Anim. Ecol. 12:
42–58.
Fogel, R. 1976. Ecological studies of hypogeous fungi. II.
Sporocarp phenology in a western Oregon Douglas-fir stand.
Can. J. Bot. 54: 1152–1162.
Gamisans, J. 1999. La végétation de la Corse. 2nd ed. Edisud,
Aixen-Provence, France.
Gardes, M., and Bruns., T.D. 1996. Community structure of
ectomycorrhizal fungi in a Pinus muricata forest: above- and
below-ground views. Can. J. Bot. 74: 1572–1583.
Goodman, D.M., and Trofymov, J.A. 1998. Comparison of com-
munities of ectomycorrhizal fungi in old-growth and mature
stands of Douglas-fir at two sites on southern Vancouver Island.
Can. J. For. Res. 28: 574–581.
Harvey, A.E., Jurgensen, M.F., and Larsen, M.J. 1978. Seasonal
distribution of ectomycorrhizae in a mature Douglas-fir/Larch
forest soil in Western Montana. For. Sci. 24: 203–208.
Hawksworth, D.L. 2001. The magnitude of fungal diversity: the
1.5 million species estimate revisited. Mycol. Res. 105: 1422–
1432.
Hill, M.O., and Smith, A.J.E. 1976. Principal component analysis
of taxonomic data with multi-state discrete characters. Taxon,
25: 249–255.
Horton, T.R., and Bruns, T.D. 2001. The molecular revolution in
ectomycorrhizal ecology: peeking into the black-box. Mol. Ecol.
10: 1855–1871.
Huisman, J., and Weissing, F.J. 1999. Biodiversity of plankton by
species oscillations and chaos. Nature (London), 402: 407–410.
Jansen, A.E., and De Nie, H.W. 1988. Relations between
mycorrhizas and fruitbodies of mycorrhizal fungi in Douglas fir
plantations in the Netherlands. Acta Bot. Neerl. 37: 243–249.
Jones, M.D., Durall, D.M., and Cairney, W.G. 2003.
Ectomycorrhizal fungal communities in young forest stands re-
generating after clearcut logging. New Phytol. 157: 399–422.
Keizer, P.J., and Arnolds, E. 1994. Succession of ectomycorrhizal
fungi in roadside verges planted with common oak (Quercus
robu r L.) in Drenthe, The Nederlands. Mycorrhiza, 4: 147–159.
Kernaghan, G., Widden, P., Bergeron, Y., Légaré, S., and Paré, D.
2003. Biotic and abiotic factors affecting ectomycorrhizal diver-
sity in boreal mixed-woods. Oikos, 102: 497–504.
Laganà, A., Loppi, S., and De Dominicis, V. 1999. Relationship
between environmental factors and the proportions of fungal
trophic groups in forest ecosystems of the central Mediterranean
area. For. Ecol. Manag. 124: 145–151.
Last, F.T., Dighton, J., and Mason, P.A. 1987. Successions of
sheathing mycorrhizal fungi. Trends Ecol. Evol. 2: 157–161.
Malloch, D.W., Pirozynski, K.A., and Raven, P.H. 1980. Ecologi-
cal and evolutionary significance of mycorrhizal symbioses in
vascular plants (a review). Proc. Natl. Acad. Sci. U.S.A. 77:
2113–2118.
Manly, B.F.J. 1997. Randomization, bootstrap and Monte Carlo
methods in biology. 2nd ed. Chapman and Hall, London.
Mantel, N. 1967. The detection of disease clustering and a general-
ized regression approach. Cancer Res. 27: 209–220.
Mc Carthy, J. 2001. Gap dynamics of forest trees: A review with
particular attention to boreal forests. Environ. Rev. 9: 1–59.
Médail, F., and Verlaque, R. 1997. Ecological characteristics and
rarity of endemic plants from southeast France and Corsica: im-
plications for biodiversity conservation. Biol. Conserv. 80: 269–
281.
© 2004 NRC Canada
Richard et al. 1723
© 2004 NRC Canada
1724 Can. J. Bot. Vol. 82, 2004
Mehus, H. 1986. Fruit body production of macrofungi in some
north Norwegian forest types. Nord. J. Bot. 6: 679–702.
Molina, R., Massicotte, H.B., and Trappe, J.M. 1992. Specificity
phenomena in mycorrhizal symbioses: community-ecological
consequences and practical implications. In Mycorrhizal func-
tioning, an integrative plant-fungal process. Edited by M.F. Al-
len. Routledge, Chapman and Hall, New York. pp. 357–423.
Nantel, P., and Neumann, P. 1992. Ecology of ectomycorrhizal-
basidiomycete communities on a local vegetation gradient. Ecol-
ogy, 73: 99–117.
Nara, K., Nakaya, H., Wu, B., Zhou, Z., and Hogetsu, T. 2003. Un-
derground primary succession of ectomycorrhizal fungi in a vol-
canic desert on Mount Fuji. New Phytol. 159: 743–756.
Norstedt, G., Bader, P., and Ericson, L. 2001. Polypores as indica-
tors of conservation value in Corsican pine forests. Biol.
Conserv. 99: 347–354.
O’Dell, T.E., Ammirati, J.F., and Schreiner, E.G. 1999. Species
richness and abundance of ectomycorrhizal basidiomycete
sporocarps on a moisture gradient in the Tsuga heterophylla
zone. Can. J. Bot. 77: 1699–1711.
Ohlson, M., Söderström, L., Hörnberg, G., Zackrisson, O., and
Hermansson, J. 1997. Habitat qualities versus long-term conti-
nuity as determinants of biodiversity in boreal old-growth
swamp forests. Biol. Conserv. 81: 221–231.
Oldeman, R.A.A. 1990. Forests: elements of sylvology. Springer-
Verlag, Berlin.
Panaïotis, C., Loisel, R., and Paradis, G. 1995. Dating natural gaps
in the holm oak forest (Quercus ilex L.) in Fango MAB reserve
(Corsica) by reading rings of maquis components. Ann. Sci. For.
52: 477–487.
Panaïotis, C., Carcaillet, C., and M’hamedi, M. 1997. Determina-
tion of the natural mortality age of an holm oak (Quercus
ilex L.) stand in Corsica (Mediterranean Island). Acta Oecol. 18:
519–530.
Peter, M., Ayer, F., Egli, S., and Honegger, R. 2001. Above- and
below-ground community structure of ectomycorrhizal fungi in
three Norway spruce (Picea abies) stands in Switzerland. Can.
J. Bot. 79: 1134–1151.
Quézel, P., and Médail, F. 2003. Écologie et biogéographie des
forêts du bassin méditerranéen. Elsevier, Paris.
Ripley, B.D. 1977. Modelling spatial patterns. J. Roy. Stat. Soc.
B39: 172–212.
Såstad, S.M. 1995. Fungi-vegetation relationships in a Pinus
sylvestris forest in central Norway. Can. J. Bot. 73: 807–816.
Schmit, J.P., Murphy, J.F., and Mueller, G.M. 1999. Macrofungal
diversity of a temperate oak forest: a test of species richness es-
timators. Can J. Bot. 77: 1014–1027.
Signorello, P. 1996. Indagini micocenologiche sulle cenosi a
Quercus ilex L. dell’Etna. Micol. Ital. 1: 74–80.
Skirgiello, A. 1998. Macromycetes of oak-hornbeam forests in the
Bia»owieóa National Park– monitoring studies. Acta Mycol. 33:
171–189.
Smith, S.E., and Read, D.J. 1997. Mycorrhizal symbiosis. 2nd ed.
Academic Press, London.
Smith, J.E., Molina, R., Huso, M.M.P., Luoma, D.L., Mc Kay, D.,
Castellano, M.A., Lebel, T., and Valachovic, Y. 2002. Species
richness, abundance, and composition of hypogeous and
epigeous ECM fungal sporocarps in young, rotation-age, and
old-growth stands of Douglas-fir (Pseudotsuga menziesii)inthe
Cascade Range of Oregon, U.S.A. Can. J. Bot. 80: 186–204.
Tedersoo, L., Koljalg, U., Hallenberg, N., and Larsson, K.-H. 2003.
Fine scale distribution of ectomycorrhizal fungi and roots across
substrate layers including coarse woody debris in a mixed for-
est. New Phytol. 159: 153–165.
Thioulouse, J., Chessel, D., Dodélec, S., and Olivier, J.M. 1997.
ADE-4: a multivariate analysis and graphical display software.
Stat. Comp. 7: 75–83.
Tilman, D. 1992. Resource competition and the community struc-
ture. Princeton University Press, Princeton, New Jersey.
Villeneuve, N., Grandtner, M.M., and Fortin, J.A. 1989. Frequency
and diversity of ectomycorrhizal and saprophytic macrofungi in
the Laurentide Mountains of Quebec. Can. J. Bot. 67: 2616–
2629.
Vogt, K.A., Bloomfield, J., Ammirati, J.F., and Ammirati, S.R.
1992. Sporocarp production by basidiomycetes, with emphasis
on forest ecosystems. In The fungal community: its organization
and role in the ecosystem. Edited by G.C. Carroll and D.T.
Wicklow. Marcel Dekker, Inc., New York. pp 563–581.
Ward, J.H. 1963. Hierarchical grouping to optimise on objective
function. J. Am. Stat. Assoc. 58: 236–244.
Whittaker, R.H. 1972. Evolution and measurement of species di-
versity. Taxon, 21: 213–251.
Yamada, A., and Katsuya, K. 2001. The disparity between the
number of ectomycorrhizal fungi and those producing fruit bod-
iesinaPinus densifolia stand. Mycol. Res. 105: 957–965.
Appendix A
Appendix appears on the following page.
© 2004 NRC Canada
Richard et al. 1725
Species FR* A†SF‡D§P|| C¶Host range Group#
Amanita caesarea (Scop.: Fr.) Pers. 3 37 28.1 (18) 19 9 100–200 Thermophilic F
Amanita citrina (Schaeff.) Pers. 3 29 28.1 (18) 43 25 60–100 Broad host range C
Amanita franchetii (Boud.) Fayod 1 1R1.6 (1) 1 35 60–100 Broad host range D
Amanita gioiosa Curreli ex Curreli 1 1R1.6 (1) 1 7 60–100 Chaparral restricted E
Amanita junquillea Quél. 2 34 31.2 (20) 7 14 50–100 Thermophilic E
Amanita malleata (Piane ex Bon) Contu 1 5R7.8 (5) 10 14 60–120 Broad host range D
Amanita pantherina (D.C.: Fr.) Krombh. 3 26 29.7 (19) 25 21 60–100 Broad host range C
Amanita phalloides (Fr.: Fr.) Link. 2 10 7.8 (5) 43 14 60–120 Broad host range D
Amanita rubescens (Pers.: Fr.) S. F. Gray 1 1R1.6 (1) 1 21 100–180 Broad host range F
Amanita spissa (Fr.) Kumm. 1 3R3.1 (2) 3 7 100–180 Angiosperms linked D
Amanita vaginata (Bull.: Fr.) Vitt. 2 5R7.8 (5) 41 21 60–120 Broad host range D
Aureoboletus gentilis (Quél.) Pouz. 3 20 23.4 (15) 26 14 30–70 Broad host range C
Boletus aereus Bull.: Fr. 1 1R1.6 (1) 1 21 150–300 Thermophilic F
Boletus edulis Bull.: Fr. 1 1R1.6 (1) 1 7 120–250 Broad host range F
Boletus erythropus Pers.: Fr. 1 1R1.6 (1) 1 14 150–200 Broad host range F
Boletus queletii Schulz. 2 2R3.1 (2) 1 21 150–200 Angiosperms linked F
Boletus rhodoxanthus (Krombh.) Kallenb. 1 1R1.6 (1) 1 42 120–200 Thermophilic F
Boletus satanas Lenz 1 1R1.6 (1) 1 14 200–300 Thermophilic F
Cantharellus cibarius (Fr.: Fr.) Fr. 2 54 35.9 (23) 40 42 50–120 Broad host range C
Cortinarius balaustinus J. E. Lange 1 3R3.1 (2) 1 7 40–80 Angiosperms linked D
Cortinarius subgen. Phlegmacium sect.
Bulbopodium-1
11
R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium sect.
Bulbopodium-2
11
R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium sect.
Bulbopodium-3
11
R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium sect.
Bulbopodium-4
11
R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium sect.
Bulbopodium 5
11
R1.6 (1) — — — — —
Cortinarius caerulescens (Schaeff.) Fr. 2 7 7.8 (5) 16 21 80–120 Broad host range D
Cortinarius caligatus Malençon 1 3R3.1 (2) 8 35 30–60 Thermophilic F
Cortinarius (group) calochrous (Pers.:Fr.) Fr. 3 14 17.2 (11) 13 35 50–70 Broad host range C
Cortinarius dionysae Rob. Henry 1 1R1.6 (1) 1 21 50–80 Broad host range D
Cortinarius duracinus Fr. 1 13 14.1 (9) 37 21 50–100 Broad host range D
Cortinarius elatior Fr. 3 66 51.6 (33) 55 35 100–150 Quercus linked B
Cortinarius georgiolens Rob. Henry 1 1R1.6 (1) 1 35 60–140 Quercus ilex specific F
Cortinarius infractus (Pers.: Fr) Fr. 3 17 15.6 (10) 11 12 50–120 Broad host range C
Cortinarius largodelibutus Rob. Henry 1 6R6.2 (4) 8 35 60–120 Quercus ilex specific F
Cortinarius luteocingulatus Cheype 2 6R6.2 (4) 9 46 50–100 Quercus ilex specific F
Cortinarius misermontii Chevassut & Rob. Henry 1 1R1.6 (1) 1 35 60–90 Quercus ilex specific F
Cortinarius subgen. Myxacium-1 2 3R4.7 (3) — — — — —
Cortinarius subgen. Myxacium-2 1 1R1.6 (1) — — — — —
Cortinarius subgen. Myxacium-3 1 1R1.6 (1) — — — — —
Cortinarius subgen. Myxacium-4 1 6R1.6 (1) 1 21 — — —
Cortinarius ochraceocephalus Bidaud et al. 1 8 6.2 (4) 21 35 80–120 Quercus ilex specific F
Cortinarius subgen. Phlegmacium-1 1 1R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium-2 1 1R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium-3 1 1R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium-4 1 2R1.6 (1) — — — — —
Cortinarius subgen. Phlegmacium-5 1 4R1.6 (1) — — — — —
Cortinarius (group) privignus (Fr.) Fr. 1 3R4.7 (3) 1 7 50–80 Broad host range D
Cortinarius pseudosalor J.E. Lange 2 4R4.7 (3) 25 21 60–100 Angiosperms linked D
Cortinarius purpurascens (Fr.) Fr. 2 3R4.7 (3) 7 14 100–150 Broad host range D
Cortinarius purpurascens f. elatus Rob. Henry. 1 1R1.6 (1) 1 35 20–50 Thermophilic F
Cortinarius salor Fr. 1 3R4.7 (3) 1 7 50–100 Broad host range D
Table A1. List of ECM species and information related to their fruiting pattern during the period 1999–2002.
© 2004 NRC Canada
1726 Can. J. Bot. Vol. 82, 2004
Species FR* A†SF‡D§P|| C¶Host range Group#
Cortinarius subgen. Sericeocybe-1 2 4R6.2 (4) — — — — —
Cortinarius subturibulosus Kizlik & Trescol 1 1R1.6 (1) 1 21 30–60 Quercus ilex specific F
Cortinarius subgen. Telamonia-1 1 1R1.6 (1) — — — — —
Cortinarius subgen. Telamonia-2 3 8 6.2 (4) — — — — —
Cortinarius trivialis J.E. Lange 2 8 6.2 (4) 1 14 50–100 Angiosperms linked D
Cortinarius (group) varius (Schaeff.: Fr.) Fr. 1 1R1.6 (1) 1 21 80–120 Angiosperms linked D
Craterellus cornocopioides (L.: Fr.) Pers. 3 46 6.2 (4) 24 42 50–150 Angiosperms linked C
Hebeloma crustuliniforme (Bull.) Quél. 13 35 Broad host range D
Hebeloma sp. 1 4R3.1 (2) — — — — —
Hebeloma mesophaeum (Pers.) Quél. 2 5R4.7 (3) 10 28 50–80 Broad host range D
Hebeloma sinapizans (Paul.) Gillet 3 15 9.4 (6) 15 18 80–150 Broad host range C
Hebeloma versipelle (Fr.) Gillet 1 3R1.6 (1) 1 7 50–80 Broad host range D
Helvella sulcata Afz.: Fr. 1 1R1.6 (1) 1 42 30–50 Broad host range F
Humaria hemisphaerica (Wigg.: Fr.) Fuck. 1 1R1.6 (1) 1 42 20–30 Angiosperms linked F
Hydnellum concrescens (Pers.) Banker 2 12 14.1 (9) 65 18 20–70 Broad host range C
Hydnellum ferrugineum (Fr.: Fr.) P. Karst. 1 4R3.1 (2) 1 21 30–90 Broad host range D
Hydnum repandum L.: Fr. 3 139 31.2 (20) 36 42 80–150 Broad host range B
Hydnum rufescens Schum.: Fr. 1 10 3.1 (2) 9 28 40–70 Broad host range D
Hygrophorus cossus (Sow.) Fr. 2 49 39.1 (25) 43 46 50–70 Quercus linked C
Hygrophorus eburneus var. carneipes Kühner 1 6R4.7 (3) 1 140 50–70 Quercus linked E
Hygrophorus nemoreus (Pers.: Fr.) Fr. 2 55 35.9 (23) 43 21 80–120 Quercus linked C
Hygrophorus persoonii Arnolds 3 23 21.9(14) 40 28 50–80 Quercus linked C
Hygrophorus russula (Schaeff.: Fr.) Quél. 3 117 46.9 (30) 26 26 120–200 Quercus linked B
Inocybe cervicolor (Pers.) Quél. 2 12 7.8 (5) 75 32 40–60 Broad host range C
Inocybe flocculosa (Berk.) Sacc. 2 46 28.1 (18) 12 25 30–50 Broad host range F
Inocybe geophylla (Bull.: Fr.) Kumm. 1 58 32.8 (21) 30 42 30–50 Broad host range F
Inocybe geophylla var. lilacina (Peck) Gillet 1 14 9.4 (6) 9 56 30–50 Broad host range F
Inocybe subgen. Inocybe-1 1 5R1.6 (1) — — — — —
Inocybe subgen. Inocybium-1 1 1R1.6 (1) — — — — —
Inocybe subgen. Inocybium-2 1 1R1.6 (1) — — — — —
Inocybe subgen. Inocybium-3 1 3R3.1 (2) — — — — —
Inocybe subgen. Inocybium-4 1 2R1.6 (1) — — — — —
Inocybe subgen. Inosperma-1 1 1R1.6 (1) — — — — —
Inocybe obscura (Pers.) Gillet 1 36 17.2 (11) 18 56 30–50 Broad host range F
Inocybe pudica Kühner (I. whitei ss. Kuyper) 1 1R1.6 (1) 1 56 40–60 Broad host range D
Inocybe tigrina R. Heim 1 352 84.4 (54) 72 42 30–50 Angiosperms linked A
Laccaria laccata (Scop.: Fr.) Berk. & Broome 3 421 64.1 (41) 38 35 10–30 Broad host range A
Lactarius acerrimus Britzelm. 1 1R1.6 (1) 1 21 100–150 Quercus linked D
Lactarius camphoratus (Bull.) Fr. 1 1R1.6 (1) 1 7 50–70 Quercus linked D
Lactarius chrysorrheus Fr. 3 376 65.6 (42) 39 23 50–100 Quercus linked A
Lactarius fuliginosus (Fr.: Fr.) Fr. 2 4R6.2 (4) 8 14 60–80 Quercus linked C
Lactarius rufus (Scop.: Fr.) Fr 2 7 7.8 (5) 44 60 50–100 Broad host range C
Lactarius cistophilus Bon & Trimbach. 1 2R1.6 (1) 1 7 30–80 Chaparral restricted E
Lactarius rubrocinctus Fr. 3 47 28.1 (18) 50 14 30–60 Angiosperms linked C
Lactarius uvidus (Fr.: Fr.) Fr. 2 17 17.2 (11) 18 42 50–80 Broad host range D
Lactarius zonarius (Bull.) Fr. 3 4R4.7 (3) 14 19 80–120 Quercus linked C
Leccinum corsicum (Rolland) Singer 1 4R6.2 (4) 30 56 100–150 Chaparral restricted E
Leccinum lepidum (Bouchet ex Essette) Quadr. 3 16 20.3 (13) 32 42 100–150 Quercus ilex specific C
Leccinum sp. 1 1R1.6 (1) — — — — —
Peziza badia Pers.: Fr. 2 16 4.7 (3) 13 35 50–100 Broad host range D
Phellodon melaleucus (Swartz: Fr.) P. Karst. 1 3R4.7 (3) 21 35 50–100 Angiosperms linked D
Phellodon tomentosus (L.: Fr.) Banker 1 3R3.1 (2) 6 21 40–80 Broad host range D
Ramaria aurea (Schaeff.) Quél. 1 1R1.6 (1) 1 28 80–150 Broad host range D
Ramaria botrytis (Pers.: Fr.) Ricken 1 4R3.1 (2) 1 28 80–150 Angiosperms linked D
Ramaria formosa (Pers.: Fr.) Quél. 1 1R1.6 (1) 1 7 80–150 Angiosperms linked D
Russula acrifolia Romagn. 3 137 68.7 (44) 27 14 80–150 Broad host range B
Table A1 (continued).
© 2004 NRC Canada
Richard et al. 1727
Species FR* A†SF‡D§P|| C¶Host range Group#
Russula amoenicolor f. nigrosanguinea Romagn. 1 15 6.2 (4) 13 7 50–80 Angiosperms linked D
Russula atropurpurea Krombh. (non Peck) 1 4R4.7 (3) 7 14 80–150 Broad host range D
Russula aurea f. axantha Romagn. 1 1R1.6 (1) 1 35 60–100 Thermophilic F
Russula chloroides (Krombh.) Bres. 3 64 39.1 (25) 19 18 60–120 Broad host range C
Russula cistoadelpha M. Moser & Trimbach 1 4R4.7 (3) 1 7 40–60 Chaparral restricted E
Russula sp. sect. Compactae 12
R1.6 (1) — — — — —
Russula decipiens (Singer) Svrèek 2 28 28.1 (18) 50 35 100–150 Quercus linked C
Russula sect. Decolorantes-1 1 1R1.6 (1) — — — — —
Russula sect. Decolorantes-2 1 3R4.7 (3) — — — — —
Russula delica Fr. 2 74 53.1 (34) 19 21 120–200 Quercus linked B
Russula densifolia Secr. ex Gillet 1 4R4.7 (3) 21 21 50–80 Angiosperms linked D
Russula faustiana Sarnari 2 14 12.5 (8) 15 14 50–70 Quercus ilex specific F
Russula foetens Pers.: Fr. 2 9 10.9 (7) 21 21 100–200 Broad host range F
Russula fragilis (Pers.: Fr.) Fr. 2 80 57.8 (37) 54 21 20–60 Quercus linked B
Russula pseudoaeruginea f. galochroa Sarnari 1 3R1.6 (1) 1 35 30–40 Thermophilic F
Russula gilvescens Romagn. ex Bon 1 6R7.8 (5) 21 35 50–100 Thermophilic F
Russula globispora J. Blum ex Bon 1 45 35.9 (23) 41 14 80–120 Quercus ilex specific C
Russula grisea Fr. 3 14 14.1 (9) 8 16 80–120 Angiosperms linked C
Russula heterophylla (Fr.) Fr. 1 12 7.8 (5) 7 21 80–150 Quercus linked C
Russula sect. Ingratae-1 2 5R4.7 (3) — — — — —
Russula laricino-affinis Bon 1 42 39.1 (25) 28 21 30–60 Quercus ilex specific C
Russula laurocerasi Melzer 1 1R1.6 (1) 1 35 80–120 Broad host range D
Russula sect. Lilaceae 12
R3.1 (2) — — — — —
Russula nitida (Pers.: Fr.) Fr. 2 2R3.1 (2) 1 21 60–80 Angiosperms linked D
Russula nuragica Sarnari 1 7 4.7 (3) 1 14 60–150 Quercus ilex specific F
Russula ochroleuca Pers. 1 5R6.2 (4) 25 21 80–120 Broad host range D
Russula ochrospora (Nicolaj ex Quadr. & W.
Rossi) Quadr.
1 28 25 (16) 44 21 60–100 Thermophilic F
Russula olivacea (Schaeff.) Pers. 3 78 64.1 (41) 62 14 100–150 Broad host range B
Russula pectinatoides Peck (ss. Romagn.) 1 1R1.6 (1) 1 14 40–80 Broad host range D
Russula persicina var. rubrata Romagn. 3 33 32.8 (21) 26 21 40–80 Quercus linked C
Russula poikilochroa Sarnari 1 13 6.2 (4) 19 14 30–60 Thermophilic F
Russula poikilochroa f. heliochroma Sarnari 1 2R1.6 (1) 1 7 30–60 Thermophilic F
Russula sect. Polychromae 2 13 15.6 (10) — — — — —
Russula rhodomarginata Sarnari 1 2R1.6 (1) 1 35 30–50 Thermophilic E
Russula rhodomelaena Sarnari 1 1R1.6 (1) 1 42 40–60 Quercus linked F
Russula risigallina f. chamaeleontina (Batsch)
Sacc.
1 106 53.1 (34) 19 14 30–70 Quercus linked C
Russula seperina Dupain 1 14 6.2 (4) 1 14 30–60 Quercus linked D
Russula sect. Tenellae-1 2 19 20.3 (13) — — — — —
Russula sect. Tenellae-2 1 1R1.6 (1) — — — — —
Russula tyrrhenica Sarnari 1 1R1.6 (1) 1 35 100–200 Chaparral restricted E
Russula vesca Fr. 3 19 25 (16) 8 35 50–90 Broad host range C
Russula vinosobrunnea var. paraolivacea Bon 1 2R3.1 (2) 1 14 80–120 Thermophilic F
Russula xerampelina (Schaeff.) Fr. 1 5R7.8 (5) 5 7 80–120 Broad host range D
Sarcodon cyrneus Maas G. 2 12 4.7 (3) 5 21 100–150 Thermophilic F
Scleroderma verrucosum (Bull.: Pers.) Pers. 2 28 9.4 (6) 7 21 30–50 Angiosperms linked F
Thelephora palmata (Scop.: Fr.) Fr. 1 1R1.6 (1) 1 21 20–50 Broad host range F
Thelephora sp. 1 1 1R1.6 (1) — — — — —
Thelephora sp. 2 1 1R1.6 (1) — — — — —
Tricholoma atrosquamosum (Chev.) Sacc. 3 36 34.4 (22) 28 32 70–100 Broad host range C
Tricholoma portentosum (Fr.: Fr.) Quél. 1 6R3.1 (2) 1 56 100–150 Broad host range D
Tricholoma pseudoalbum Bon 1 2R1.6 (1) 1 14 80–140 Angiosperms linked D
Tricholoma saponaceum (Fr.: Fr.) Kumm. 3 76 46.9 (30) 68 44 100–150 Broad host range B
Tricholoma sp. 1 1R1.6 (1) — — — — —
Tricholoma sect. Atrosquamosa 13
R3.1 (2) — — — — —
Table A1 (continued).
© 2004 NRC Canada
1728 Can. J. Bot. Vol. 82, 2004
Species FR* A†SF‡D§P|| C¶Host range Group#
Tricholoma stans (Fr.) Sacc. 1 1R1.6 (1) 1 7 60–90 Thermophilic F
Tricholoma ustale (Fr.: Fr.) Kumm. 2 6R7.8 (5) 48 35 60–90 Angiosperms linked D
Xerocomus armeniacus (Quél.) Quél. 1 1R1.6 (1) 1 7 50–90 Broad host range D
Xerocomus spadiceus (Fr.) Quél. 1 6R7.8 (5) 44 49 60–100 Broad host range D
Note: For each determined species, seven life history traits are documented (temporal variation in fruitbody production, abundance, spatial frequency,
duration of fruiting period, periodicity, breadth of host range, and mean diameter of the fruitbody cap), as well as group according to the Hill and Smith
(1976) analysis.
*Fruiting regularity determined as the number of seasons of occurrence.
†Abundance determined as the number of fruitbodies over 3 years. Rare taxa (i.e., taxa that produced less than 1 fruitbody per 1000 m2on average) are
indicated with a superscripted R.
‡Spatial frequency determined as the percentage of the total number of plots occupied, with the number of plots given in parenthesis.
§Duration (number of days) of fruiting period.
||Periodicity determined as the number of days between the production peak and the beginning of the fruiting season.
¶Mean diameter (mm) of the fruitbody cap.
#Groups according to the Hill and Smith (1976) analysis.
Table A1 (concluded).
Species FR†A‡SF§
Agaricus depauperatus (Møller) Pilàt 2 4R6.2 (4)
Agaricus haemorrhoidarius Schulz. 2 8 12.5 (8)
Agaricus porphyrizon P.D. Orton 1 1R1.6 (1)
Agaricus sp. sect. Agaricus 3 9 10.9 (7)
Agaricus silvaticus Schaeff.: Fr. 2 6R9.4 (6)
Aleuria aurantia (Pers.: Fr.) Fuckel 1 1R1.6 (1)
Armillaria mellea (Vahl: Fr.) Kumm. 2 26 4.7 (3)
Calocybe carnea (Bull.: Fr.) Donk 2 15 10.9 (7)
Clavulina cinerea (Bull.: Fr.) Schröt.* 3 110 48.4 (31)
Clavulina cristata (Holmsk.: Fr.) Schröt.* 1 21 10.9 (7)
Clavilunopsis corniculata (Schaeff.: Fr.) Corner* 1 2R1.6 (1)
Clavilunopsis helvola (Pers.: Fr.) Corner* 1 6R4.7 (3)
Clitocybe costata Kühner & Romagn. 2 7 6.2 (4)
Clitocybe gibba (Pers.: Fr.) Kumm. 3 77 26.6 (17)
Clitocybe odora (Bull.: Fr.) Kumm. 1 22 1.6 (1)
Clitocybe radicellata Gillet 1 3R4.7 (3)
Clitocybe sp. sect. Infundibuliformes 11
R1.6 (1)
Clitopilus prunulus (Scop.: Fr.) Kumm.* 2 23 18.8 (12)
Collybia butyracea (Bull.: Fr.) Kumm.* 2 92 26.6 (17)
Collybia dryophila (Bull.: Fr.) Kumm.* 2 77 21.9 (14)
Collybia kuehneriana Singer* 2 19 6.2 (4)
Coltricia perennis (L.: Fr.) Murrill 1 2R3.1 (2)
Conocybe tenera (Schaeff.: Fr.) Fayod 1 5R1.6 (1)
Coprinus atramentarius (Bull.: Fr.) Fr. 1 9 3.1 (2)
Coprinus cinereus (Schaeff.: Fr.) S.F. Gray 1 1R1.6 (1)
Coprinus micaceus (Bull.: Fr.) Fr. 1 1R1.6 (1)
Coprinus picaceus (Bull.: Fr.) Fr. 1 1R1.6 (1)
Coprinus sp. sect. Coprinus 11
R1.6 (1)
Cuphophyllus pratensis (Pers.: Fr.) Bon* 1 1R1.6 (1)
Entoloma corvinum (Kühner) Noordel.* 2 38 10.9 (7)
Entoloma lividoalbum (Kühner & Romagn.) Kubicka* 1 1R1.6 (1)
Entoloma nidorosum (Fr.) Quél.* 3 159 45.3 (29)
Geoglossum cookeianum Nannf.* 1 2R1.6 (1)
Hygrocybe conica (Scop.: Fr.) Kumm. 3 10 12.5 (8)
Hygrocybe sp. sect. Macrosporae 11
R1.6 (1)
Hygrocybe tristis (Pers.) Møller 1 1R1.6 (1)
Lepiota castanea Quél. 1 1R1.6 (1)
Lepiota sp. 1 2R1.6 (1)
Table A2. List of saprobic species and information related to their fruiting pattern (tempo-
ral variation in fruitbody production, abundance, and spatial frequency) over the 3-year
survey.
© 2004 NRC Canada
Richard et al. 1729
Species FR†A‡SF§
Lepiota subincarnata J. E. Lange 1 3R1.6 (1)
Lepista nuda (Bull.: Fr.) Cooke 2 3R3.1 (2)
Leucopaxillus gentianeus (Quél.) Kotlaba* 3 42 7.8 (5)
Leucopaxillus sp.* 1 2R3.1 (2)
Leucopaxillus tricolor (Peck) Kühner* 1 5R3.1 (2)
Lycoperdon sp. 1 1R1.6 (1)
Lycoperdon perlatum Pers.: Pers. 3 225 26.6 (17)
Lycoperdon pyriforme Schaeff.: Pers. 2 5R4.7 (3)
Lyophyllum immundum (Berk.) Kühner 2 9 10.9 (7)
Lyophyllum leucophaeatum (P. Karst.) P. Karst. 1 2R3.1 (2)
Macrolepiota procera (Scop.: Fr.) Singer 3 9 6.2 (4)
Macrolepiota nympharum (Kalchbr.) Wasser 1 4R3.1 (2)
Marasmius collinus (Scop.:Fr.) Singer 2 5R3.1 (2)
Mycena alcalina (Fr.: Fr.) Kumm.* 2 133 6.2 (4)
Mycena galericulata (Scop.: Fr.) S.F. Gray* 1 5R1.6 (1)
Mycena sp. 1* 1 7 7.8 (5)
Mycena sp. 2* 1 6R1.6 (1)
Mycena pura (Pers.: Fr.) Kumm.* 3 71 23.4 (15)
Mycena pura var. rosea (Bull.) Gillet* 1 5R3.1 (2)
Mycena vulgaris (Pers.: Fr.) Kumm.* 1 10 1.6 (1)
Mycena vitilis (Fr.) Quél.* 2 290 40.6 (26)
Pluteus depauperatus Romagn. 1 6R6.2 (4)
Pluteus salicinus (Pers.: Fr.) Kumm. 2 4R4.7 (3)
Pluteus thomsonii (Berk. & Broome) Dennis 1 1R1.6 (1)
Psathyrella candolleana (Fr.: Fr.) Maire 2 3R4.7 (3)
Rhodocybe mundula (Lasch) Singer 1 1R1.6 (1)
Tubaria furfuracea (Pers.: Fr.) Gillet* 1 9 9.4 (6)
Vascellum pratense (Pers.) Kreisel 1 9 1.6 (1)
Xerula radicata (Rehl.:Fr.) Dörfelt 2 5R1.6 (1)
Xylaria hypoxylon (L.: Fr.) Grev. 1 5R1.6 (1)
*Species for which vouchers have been deposited at the herbarium of the Evolution et Diversité
Biologique Laboratory (Unité mixte de recherche 5174, Université Toulouse III Paul Sabatier, Toulouse,
France). Vouchers are available upon request.
†Fruiting regularity determined as the number of seasons of occurrence.
‡Abundance determined as the number of fruitbodies over 3 years. Rare taxa (i.e., taxa that produced
less than 1 fruitbody per 1000 m2on average) are indicated with a superscripted R.
§Spatial frequency determined as the percentage of the total number of plots occupied, with number
of plots within parenthesis.
Table A2 (concluded).