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ORIGINAL ARTICLE
Fruiting behavior of dipterocarps in two consecutive episodesof general flowering in a Malaysian lowland rain forest
Shinya Numata • Ryo O. Suzuki • Sen Nishimura •
Yoko Naito • Akihiro Konuma • Yoshihiko Tsumura •
Naoki Tani • Toshinori Okuda • Md Noor Nur Supardi
Received: 17 July 2010 / Accepted: 17 May 2011 / Published online: 8 October 2011
� The Japanese Forest Society and Springer 2011
Abstract We examined fruiting behaviors of 24 dip-
terocarp species in a lowland rain forest of Peninsular
Malaysia during two consecutive episodes of general
flowering (GF). The first GF episode (GF2001) occurred
from August 2001 to February 2002, and the second GF
episode (GF2002) followed immediately, from March to
September 2002. The magnitude of GF2002 was greater
than that of GF2001 at the community level. Significant
positive size dependence of fruiting behavior at the com-
munity level was found in both GF2001 and GF2002, but
there was no significant association between the fruiting
behaviors in GF2001 and GF2002 except for one species.
These results imply that tree size was one of the explana-
tory factors for fruiting behavior of dipterocarp species, but
there was no evidence that adjacent reproduction caused
the absence of reproduction and decreased fecundity in the
subsequent fruiting event. In contrast, strong spatial
aggregation of fruiting trees was found in GF2001, sug-
gesting that external factors may affect fruiting behavior of
dipterocarps in a minor GF episode. Among the 12 study
species, there were large variations in fruiting behavior, but
growth type (e.g., fast-growing or slow-growing) did not
simply explain the inter-specific pattern of fruiting behav-
ior. Thus, tree size may account for fruiting behavior of
dipterocarps during the consecutive GF episodes through
species-specific differences in phonological responses to
internal and external conditions.
Keywords Dipterocarpaceae � Peninsular Malaysia �Reproductive phenology � Size dependency �Spatial distribution pattern
S. Numata � T. Okuda
Biological Environment Division, National Institute
for Environmental Studies, Tsukuba,
Ibaraki 305-8506, Japan
S. Numata (&)
Graduate School of Urban Environmental Sciences,
Tokyo Metropolitan University, Minami-Osawa 1-1,
Hachiouji, Tokyo 192-0397, Japan
e-mail: [email protected]
R. O. Suzuki
Sugadaira Montane Research Center, University of Tsukuba,
Sugadaira-kogen 1278-294, Ueda, Nagano 386-2204, Japan
S. Nishimura � M. N. Nur Supardi
Forestry Division, Forest Research Institute Malaysia,
52109 Kepong, Selangor, Malaysia
Y. Naito
Graduate School of Agriculture, Kyoto University,
Kitashirakawa Oiwakecho, Kyoto, Kyoto 606-8502, Japan
A. Konuma
National Institute for Agro-Environmental Sciences,
3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, Japan
Y. Tsumura
Forestry and Forest Products Research Institute,
Matsunosato 1, Tsukuba, Ibaraki 305-8687, Japan
N. Tani
Japan International Research Center for Agricultural Sciences,
Ohwashi 1-1, Tsukuba 305-8686, Japan
T. Okuda
Graduate School of Integrated Arts and Sciences,
Hiroshima University, 1-7-1 Higashi-Hiroshima,
Hiroshima 739-8521, Japan
123
J For Res (2012) 17:378–387
DOI 10.1007/s10310-011-0308-z
Introduction
The family Dipterocarpaceae, known as useful timber
trees, is widely distributed in lowland rain forests of the
aseasonal Southeast Asia (Ashton 1982; Maury-Lechon
and Curtet 1998; Symington et al. 2004). Many dipterocarp
species represents a unique rhythm of reproductive phe-
nology known as general flowering (GF), followed by mast
fruiting (Appanah 1985; Ashton et al. 1988; Sakai et al.
1999; Yasuda et al. 1999; Sakai 2002; Numata 2004). Even
though this region has little seasonal weather variation, GF
represents supra-annual synchronization of reproduction
across diverse tree species including dipterocarps at irreg-
ular intervals of 1–10 years. A previous study showed that
70% of emergent trees and 40% of canopy trees have been
regarded as GF species that flowered only during GF
periods in Borneo (Sakai et al. 1999). It was also reported
that at least 27 genera in 24 families restricted their
reproduction to the GF episodes in Bornean forests
(Cannon et al. 2007).
Since GF plays a central role in the successful regen-
eration of dipterocarp forests in the tropics of Southeast
Asia (Ashton et al. 1988; Sakai et al. 2006), an under-
standing of reproductive behavior of GF species will pro-
vide important information on forest dynamics and help in
forest management. However, very little is known about
variation in reproductive behavior among GF species due
to the difficulty of population-scale phenological observa-
tion of widely scattered trees in dipterocarp forests (Naito
et al. 2008).
In general, plant size is a key element to understand
variation in reproductive behavior of plants. A few studies
have examined the relationship between tree size and
reproductive traits of dipterocarps in terms of plant internal
and external conditions. Regarding the internal factors in
relation to tree size, tropical rain forest trees in particular
require a certain period to accumulate sufficient resources
for reproduction in a tropical rain forest with poor soil
ferterily (Burgess 1972; Janzen 1974; Kelly 1994; Itoh
et al. 2003). Naito et al. (2008) showed the size-related
differences in the resource allocation pattern for repro-
duction of a Shorea species in two GF episodes. If repro-
duction critically drains stored resources, we can expect
size dependence of reproduction and the absence of
reproduction or decreased fecundity in consecutive fruiting
events.
Concerning the external factors, many studies have
focused on meteorological cues, including low tempera-
tures, strong solar radiation and/or prolonged drought
1–2 months before the beginning of a GF (e.g., Ng 1977;
Ashton et al. 1988; Sakai et al. 1999, 2006; Yasuda et al.
1999; Numata et al. 2003). Of these meteorological cues,
two climatic factors have been proposed as GF triggers:
drought and drops in minimum temperature (Ashton et al.
1988; Yasuda et al. 1999; Sakai 2002; Numata et al. 2003;
Sakai et al. 2006; Brearley et al. 2007). In relation to the
tree size, Appanah and Manaf (1990) reported that small-
sized dipterocarp trees could fruit in recently logged forests
where canopies are more exposed, but not in undisturbed
primary forest with closed canopies. If large-sized trees are
likely to have more exposed canopies than small-sized
trees on the basis of allometric relationship (e.g., Okuda
et al. 2003, 2004), it is reasonable to assume a positive size
dependence of reproduction in terms of both external and
internal conditions, such as sensitivity to meteorological
change and competition for light and nutrients. Moreover,
Itoh et al. (2003) suggested that some site conditions, i.e.
elevation, slope inclination and soil texture, are possibly
responsible for the population-scale variation in fruiting of
a dipterocarp species without reference to tree size.
Population level analyses on reproductive behavior are
important in order to tackle the question of how dipterocarp
species produce their fruits and seedlings through a GF
episode. In the present study, we investigated fruiting
behavior of 24 dipterocarp species in two consecutive GF
episodes during August 2001 to September 2002. Firstly,
we describe features of the two GF episodes on the basis of
the fruiting status of individual trees. Subsequently, at both
the community and population levels, we examined size
dependence of reproductive behavior and its interspecific
difference. To reveal the effect of resource availability on
reproductive behavior, we examined how adjacent fruiting
affects subsequent fruiting behavior. Spatial distribution
patterns were compared between fruiting and sterile trees
in each GF episode to examine whether the occurrence of
fruiting was randomly distributed or spatially aggregated.
Materials and methods
Study site
This study was conducted in a lowland rain forest, Pasoh
Forest Reserve, Negri Sembilan state, Peninsular Malaysia
(2�590N, 102�190E, altitude 75–150 m). Since land use of
this region has changed rapidly from forest to mostly
agricultural plantation, the Pasoh Forest Reserve has
unfortunately become an example of the now rare undis-
turbed lowland rainforests in Peninsular Malaysia. The
reserve has a total area of 2,450 ha. It is surrounded on
three sides (north, south, and west) by oil palm plantations
and to the east by virgin hill dipterocarp forests. The main
part of the reserve consists of a lowland dipterocarp forest
of the Keruing–Meranti type (Appanah and Weinland
1993). The core area (ca. 200 ha) is surrounded by
regenerating forests that were logged in the early 1950s and
J For Res (2012) 17:378–387 379
123
is generally homogenous in topography and community
structure, with no evidence of large-scale human distur-
bance (Manokaran and Swaine 1994; Numata et al. 2006).
The climate in this region is aseasonal tropical rain forest
(average annual rainfall approximately 2,000 mm), but
there are generally two weak dry seasons (July and January)
each year (Numata et al. 2003).
A 40-ha ecological plot (500 m 9 800 m) has been
established for the phenological observation and gene flow
study of dipterocarp trees since 2000 (Konuma et al. 2000;
Takeuchi et al. 2004; Naito et al. 2005, 2008; Tani et al.
2009). All dipterocarp trees ([30 cm in diameter at breast
height, DBH) in the plot were mapped and tagged, and tree
size in DBH was measured. All the target individual trees
were identified based on flower sample, if present, or
leaves, bark and timber characteristics. The study plot
involves primary forest stands as well as regenerating
forest stands after selective logging in 1958 (Numata et al.
2006). The primary forest contains stands at various stages
of maturity, from canopy gaps to climax forest topped by
emergent trees with heights of 50–60 m. Some parts of the
primary forest are seasonally swampy.
Observation of fruiting behavior in dipterocarp trees
We focused on trees of Dipterocarpaceae that play a central
role in a GF episode. In 2001 and 2002, a great number of
canopy and emergent trees including non-dipterocarp spe-
cies also bore flowers and fruits. We monitored flowering
and fruiting behaviors of all dipterocarp species (Diptero-
carpaceae) in the 40-ha plot. Thus, 2 Anisoptera (A. laevis
Ridl. and A. megistocarpa V. Sl.), 5 Dipterocarpus (D.
cornutus Dyer., D. costulatus V. Sl., D. crinitus Dyer., D.
kunstleri King., and D. sublamellatus Foxw.), 2 Hopea (H.
dryobalanoides Miq. and H. sangal Korth.), 1 Neobalan-
ocarpus (N. heimii King.), 1 Parashorea (P. densiflora V.
Sl. et Sym.) and 13 Shorea species (S. acuminata Dyer., S.
bracteolata Dyer., S .guiso (Blanco) Blume, S. hopeifolia
(Heim) Sym., S. lepidota Korth., S. leprosula Miq., S.
macroptera Dyer., S. maxwelliana King., S. multiflora
Sym., S. ochrophloia E. J. S. ex Sym., S. ovalis Korth. S.
parvifolia Dyer., and S. pauciflora King.) were used for the
study.
Observations of reproductive status were carried out in
2001 and 2002 (Table 1). Observations of individual trees
were made with binoculars from the forest floor by three or
four experienced observers. For identification and recon-
firmation of species, flowers and fruit samples of each
individual tree were collected and housed at the field sta-
tion near the Pasoh Forest Reserve. Fruiting behavior
(fruiting or sterile) was evaluated for each tree in each GF
episode in this study. To assess whether a tree had fruited,
we looked for fruit in the canopy and searched for fallen
fruit on the ground. Several trees flowered, but did not
produce fruits in each GF episode. In this case, these
abortive trees were regarded as ‘‘sterile’’. Trees whose
fruiting was observed only once throughout a GF episode
were regarded as ‘‘sterile’’ to minimize observation errors.
To quantify fruiting intensity of individual trees, mature
fruit density on the ground and of each canopy was visually
evaluated and classified into two classes based on the result
of monitoring of flower and fruit production of individual
trees (e.g., Naito et al. 2008): low density (ca. \5 mature
fruits m-2) or high density (ca. C5 mature fruits m-2). For
each fruiting tree, fruiting intensity (high or low) was
determined by the classification of the density of mature
fruits.
Data analysis
In total, 24 dipterocarp species, 818 individual trees were
chosen for the study (Table 2). For the population level
analysis, 12 species (D. cornutus, D. sublamellatus, N.
heimii, S. acuminata, S. lepidota, S. leprosula, S. mac-
roptera, S. maxwelliana, S. multiflora, S. ovalis, S. parvi-
folia, and S. pauciflora) with sufficient number of samples
([20 individuals) were chosen.
All statistical analyses were conducted by R 2.9.2 (R
Development Core Team 2009). Chi-square test was used
to compare proportion. Fisher’s exact test for independence
was used to test whether the fruiting behavior (fruiting or
sterile) and fruiting intensity (high, low, or sterile) in
GF2002 associate with those in GF2001. Analysis of var-
iance (ANOVA) was used for comparisons of several
variables. The effect of tree size (DBH) on the fruiting
behavior in GF2001 was evaluated using generalized linear
model (GLM) with binomial error structure and logit link
function. For GF2002, we also analyzed effects of tree size
and adjacent fruiting (fruiting behavior in GF2001) on the
fruiting behavior in GF2002. Level of significance was
assessed by Wald test. The interspecific relationship
between percentages of fruiting trees in GF2001 and
GF2002 was analyzed using Spearman’s rank correlations.
At the community level, univariate spatial patterns
(aggregation/regularity) of fruiting trees were analyzed
using Ripley’s K(t) function for all individuals ([30 cm in
DBH) (see Suzuki et al. 2009). Species-specific spatial
patterns were analyzed for the 12 species with sufficient
number of samples (n [ 20). The K(t) function is defined
as the expected number of plants within distance t from a
randomly chosen plant, under complete spatial randomness
K(t) = pt2 (Diggle 1983; Haase 1995). When L(t) is
defined as H[K(t)/p] - t, under complete spatial random-
ness, the expected value of L(t) is zero. L(t) was calculated
at 10-m intervals up to 250 m. We tested a null hypothesis
of ‘‘random reproduction’’ that assumes that the spatial
380 J For Res (2012) 17:378–387
123
Ta
ble
1O
bse
rvat
ion
of
flo
wer
ing
of
the
foca
lsp
ecie
sin
the
40
-ha
plo
to
fth
eP
aso
hF
ore
stR
eser
ve
Sp
ecie
sn
20
01
20
02
n1
st2
nd
3rd
4th
5th
6th
7th
8th
n1
st2
nd
3rd
4th
5th
6th
7th
8th
9th
Sep
5–
Sep
17
–
Oct
3–
Oct
18
–
No
v
18
–
No
v
24
–
Dec
21
–
Feb
14
–
Ap
r
2–
Ap
r
26
–
May
10
–
May
?–
Jun
?–
Jul
2–
Jul
13
–
Au
g
6–
Au
g
29
–
An
iso
pte
rala
evis
64
FL
6F
L
An
iso
pte
ram
egis
toca
rpa
20
2F
L
Dip
tero
carp
us
corn
utu
s1
13
87
FL
FL
FL
11
3F
LF
LF
L
Dip
tero
carp
us
cost
ula
tus
10
8a
FL
FL
10
FL
FL
FL
Dip
tero
carp
us
crin
itu
s4
4F
LF
LF
LF
L4
FL
FL
FL
Dip
tero
carp
us
kun
stle
ri9
9F
L8
FL
FL
Dip
tero
carp
us
sub
lam
ella
tus
44
38
FL
FL
FL
43
FL
FL
FL
Ho
pea
dry
ob
ala
no
ides
19
7F
LF
L1
9F
LF
LF
L
Ho
pea
san
ga
l1
1F
L1
Neo
ba
lan
oca
rpu
sh
eim
ii4
63
7F
LF
LF
L4
6F
LF
L
Pa
rash
ore
ad
ensi
flo
ra8
7F
LF
L8
FL
Sh
ore
aa
cum
ina
ta7
24
8F
LF
LF
LF
L7
1F
LF
LF
L
Sh
ore
ab
ract
eola
ta1
16
FL
FL
FL
11
FL
FL
Sh
ore
ag
uis
o2
02
Sh
ore
ah
op
eifo
lia
33
FL
3F
L
Sh
ore
ale
pid
ota
54
41
aF
LF
L5
4F
LF
LF
L
Sh
ore
ale
pro
sula
68
53
FL
FL
FL
68
FL
FL
FL
Sh
ore
am
acr
op
tera
10
18
1a
FL
FL
10
1F
LF
LF
L
Sh
ore
am
axw
elli
an
a1
34
10
9F
LF
LF
L1
34
FL
FL
FL
Sh
ore
am
ult
iflo
ra3
02
03
0F
LF
LF
L
Sh
ore
ao
chro
ph
loia
11
1
Sh
ore
ao
vali
s2
72
2F
L2
7F
LF
L
Sh
ore
ap
arv
ifo
lia
75
63
FL
FL
FL
75
FL
FL
Sh
ore
ap
au
cifl
ora
38
26
FL
FL
38
FL
FL
FL
Flo
wer
ing
aT
he
flo
wer
ing
of
fou
rsp
ecie
s(A
.la
evis
,D
.co
stu
latu
s,S
.le
pid
ota
and
S.
ma
cro
pte
ra)
had
alre
ady
bee
nn
ote
db
efo
reth
est
art
of
ob
serv
atio
ns
J For Res (2012) 17:378–387 381
123
distribution of sterile trees or fruiting trees does not differ
from that expected if fruiting was a spatially random event.
A random distribution expected from the null hypothesis
was generated by a randomization procedure that the
observed spatial distribution of plants keep constant, the
fruiting event (fruited or non-fruited) of individuals were
permuted at random, and L(t) of spatial patterns of the
randomly fruiting and sterile trees were calculated,
respectively. The 95% confidence envelopes of L(t) func-
tion were estimated from 500 randomization procedures.
When the observed L(t)values were larger or smaller than
the envelopes of the expected L(t) under the null hypoth-
eses, the spatial pattern (aggregation/regularity) of trees
was statistically significant at the distance t, respectively, in
the fruiting event of trees.
Results
GF episodes in 2001 and 2002
The first GF occurred from August 2001 to February 2002
(GF2001). The flowering of A. laevis, D. costulatus, S.
lepidota, and S. macroptera started in August 2001, and
many mature fruits of many species were dispersed in
January and February 2002. The second GF (GF2002)
started from March 2002, and mature fruits were dispersed
in August and September 2002. The flowering sequence of
the dipterocarp species in GF2001 was roughly consistent
with that in GF2002 (Table 1). It was noteworthy that 43
small-sized reproductive trees (B30 cm in DBH) were
found in the study plot in GF2002 (Table 2).
Table 2 Summary of fruiting behavior of 24 dipterocarp species in the 40-ha plot of the Pasoh Forest Reserve in GF2001 and GF2002
Species n Mean
DBH
(cm)
SD Nut
weighta
(g)
GF2001 GF2002
% Fruiting
trees
% Fruiting
trees
% Consecutive
fruiting trees
% Sterile
trees
Number of fruiting
trees with small
size (B30 cm) in
GF2002
Anisoptera laevis 5 89.4 22.2 1.5 20.0 40.0 20.0 60.0
Anisoptera megistocarpa 2 70.1 18.6 1.2 0.0 100.0 0.0 0.0
Dipterocarpus cornutusb 110 53.7 17.7 3.7 21.8 71.8 21.8 28.2 3
Dipterocarpus costulatus 10 66.7 29.4 2.0 40.0 50.0 20.0 30.0
Dipterocarpus crinitus 4 94.4 37.3 0.8 100.0 75.0 75.0 0.0
Dipterocarpus kunstleri 8 73.4 21.0 2.5 12.5 62.5 12.5 37.5
Dipterocarpus sublamellatusb 41 63.1 21.0 3.0 26.8 39.0 17.1 51.2
Hopea dryobalanoides 13 38.3 7.2 0.8 46.2 61.5 15.4 7.7 5
Hopea sangal 1 43.2 – 0.4 100.0 0.0 0.0 0.0
Neobalanocarpus heimiib 45 78.2 40.3 2.5 31.1 68.9 26.7 26.7
Parashorea densiflora 8 58.9 23.4 3.0 0.0 12.5 0.0 87.5
Shorea acuminatab 58 57.9 25.1 0.6 44.8 84.5 39.7 10.3 10
Shorea bracteolata 9 40.4 12.3 1.0 33.3 77.8 22.2 11.1 2
Shorea guiso 2 48.7 6.4 0.5 0.0 0.0 0.0 100.0
Shorea hopeifolia 3 87.3 47.3 1.2 66.7 33.3 0.0 0.0
Shorea lepidotab 47 46.5 17.9 1.1 6.4 66.0 4.3 31.9 7
Shorea leprosulab 64 52.5 15.9 1.3 39.1 45.3 15.6 31.3 1
Shorea macropterab 96 49.4 15.6 1.2 25.0 66.7 18.8 27.1 5
Shorea maxwellianab 133 63.5 22.1 1.5 6.8 56.4 4.5 41.4 1
Shorea multiflorab 24 44.4 15.5 1.2 0.0 41.7 0.0 58.3 6
Shorea ochrophloia 1 45.4 – 1.0 0.0 0.0 0.0 100.0
Shorea ovalisb 26 49.7 16.3 1.3 3.8 7.7 0.0 88.5
Shorea parvifoliab 70 47.4 19.7 0.7 57.1 24.3 7.1 25.7 3
Shorea pauciflorab 38 61.7 26.7 1.2 2.6 26.3 0.0 71.1
Total 818 54.7 23.4 – 24.4 54.6 14.4 35.3 43
DBH diameter at breast heighta Data taken from Ashton (1982)b Species with sufficient number of samples (n [ 20)
382 J For Res (2012) 17:378–387
123
Over all species, the magnitude of GF was greater in
GF2002 than GF2001 (Fig. 1; Table 2). The proportion of
fruiting trees in GF2002 (54.6%) was significantly different
from that in GF2001 (23.8%) (v2 test: df = 1, X2 = 162.8,
P \ 0.0001). At the species level, 79% (19 species) and
88% (21 species) of the study species produced fruits in
GF2001 and GF2002, respectively. The proportion of
fruiting trees with high fruiting intensity in GF2002
(31.4%) was also significantly different from that in
GF2001 (11.5%) (v2 test: df = 1, X2 = 96.4, P \ 0.0001).
In total, 13.9% of trees (114 trees of 15 species) produced
fruits both in GF2001 and GF2002 (consecutive fruiting
trees), and 35.5% (290 trees) of the trees produce fruits
neither in GF2001 nor GF2002 (sterile trees). Fisher’s
exact test for independence indicated that the fruiting
behavior and fruiting intensity in GF2002 were signifi-
cantly independent from those in GF2001 (P = 0.25 for
the fruiting behavior and P = 0.12 for the fruiting inten-
sity) (Table 3).
Size dependence of fruiting and effect
of adjacent fruiting
Fruiting was observed at the various size classes of trees in
both GF2001 and GF2002 (Fig. 1). The mean size in DBH
of fruiting trees was 62.8 cm in GF2001 and 60.0 cm in
GF2002, while the mean size of sterile trees was 53.9 cm
in GF2001 and 51.1 cm in GF2002. The consecutive
fruiting (in both GF2001 and GF2002) was also observed
for the various size classes and the mean size was 69.1 cm
(Fig. 2). Significant differences in tree size were found
between the sterile trees, the fruiting trees in either GF2001
or GF2002 and the consecutive fruiting trees (ANOVA:
F = 26.4, P \ 0.0001).
Results from GLM with fruiting behavior (fruiting or
sterile) as a responsible variable are shown in Table 3. At
the community level, fruiting behavior of trees in 24 dip-
terocarp species was significantly positively related to tree
size in DBH in both GF2001 and GF2002 (Fig. 2; Table 4).
At the species level, five species (D. cornutus, D.
sublamellatus, N. heimii, S. acuminata, S. macroptera)
showed significant positive size dependence of fruiting
behavior in GF2001. In GF2002, two species (N. heimii
and S maxwelliana) showed significant positive size
dependence of fruiting behavior (Table 4). At the com-
munity level, GLM analysis did not indicate significant
effect of adjacent fruiting on the subsequent fruiting
behavior (Table 4). However, only S. parvifolia showed
significant negative effects of adjacent fruiting on sub-
sequent fruiting behavior, and fruiting intensity of this
species in GF2002 was significantly associated with that in
GF2001 (Fisher’s exact test: P = 0.01).
Spatial distribution pattern of fruiting trees
For the 12 dipterocarp species with sufficient numbers of
samples (n [ 20), spatial distribution patterns of fruiting
trees were compared among different fruiting behaviors:
either GF2001 or GF2002 and consecutive fruiting trees in
GF2001 and GF2002 (Table 5). Of 35 distribution patterns
Fig. 1 Size distributions of numbers and proportion (upper) of
fruiting trees in the 40 ha plot of the Pasoh Forest Reserve in GF2001
(a) and GF2002 (b). DBH Diameter at breast height
Table 3 Comparison of fruiting intensity of trees ([30 cm in
diameter at breast height) between GF2001 and GF2002
GF2001 GF2002 Total
High fruiting
intensity
Low fruiting
intensity
Sterile
High fruiting intensity 29 18 47 94
Low fruiting intensity 38 143 290 101
Sterile 190 29 34 623
Total 257 190 371 818
Fig. 2 Tree size and fruiting behavior of trees in the 24 dipterocarp
species. Proportions of sterile trees, fruiting trees in either GF2001 or
GF2002 and consecutive fruiting trees are shown. DBH Diameter at
breast height
J For Res (2012) 17:378–387 383
123
analyzed, significant aggregation, significant regularity,
and random patterns were 6 (17%), 1 (3%), and 28 (80%),
respectively. Of these significant aggregation patterns,
strong significant aggregation patterns (P \ 0.01) were
observed for fruiting trees of S. leprosula (Fig. 3a), S.
parvifolia (Fig. 3b), and all 24 species in GF2001 (Fig. 3c),
but the others were very weak and marginally significant
(P [ 0.01). These strong aggregation patterns of fruiting
trees were found in only two species (S. leprosula and S.
parvifolia), and they greatly contributed to the community-
level spatial aggregation of fruiting in GF2001.
Inter-specific pattern of fruiting behavior
Among the 12 dipterocarp species, percentage of fruiting
trees highly varied from 0% (S. multiflora in GF2001) to
84.5% (S. acuminata in GF2002) during the two GF epi-
sodes (Table 2). In GF2001, S. parvifolia showed the
highest percentage of fruiting trees (57.1%) while S. mul-
tiflora, S. pauciflora, S. ovalis showed lower percentages of
fruiting trees (0, 2.6, and 3.8%, respectively). Shorea ac-
uminata and D. cornutus showed the highest percentages of
fruiting trees in GF2002 (84.5 and 71.8%, respectively).
Percentage of consecutive fruiting trees varied from 0%
(S. multiflora, S. ovalis and S. pauciflora) to 39.7%
(S. acuminata). No significant rank correlation was found
between percentages of fruiting trees in GF2001 and
GF2002 across the 12 species (q = 0.29, ns) (Fig. 4).
However, the species with high percentages of fruiting
trees in GF2001 marginally tended to have a high pro-
portion of fruiting trees in GF2002, except S. parvifolia
which showed significant negative effects of adjacent
reproduction on fruiting behavior in GF2002 (q = 0.59,
P = 0.06).
Discussion
Although the sequential flowering pattern did not differ
much between GF2001 and GF2002, the magnitude of
GF2002 was 1.4 times greater than that of GF2001. We
also found that the proportion of trees with the high fruiting
intensity was significantly greater in GF2002 than in
GF2001. However, the magnitudes of these episodes may
not be particularly large compared with past GF episodes in
this region, because an earlier study which investigated the
reproductive phenology of dipterocarps species showed
that the magnitude of GF which occurred in 2005
(GF2005) was 1.8 times greater than GF2002 in terms of
the percentage of flowering trees (Sun et al. 2007).
Table 4 Results from generalized linear model using with binomial error structure and logit link function
Species n Fruiting behavior in GF2001 Fruiting behavior in GF2002
Intercept Tree size Intercept Tree size Fruiting behavior
in GF2001
Dipterocarpus cornutus 110 -3.372*** 0.037** -0.409 0.020 17.750
Dipterocarpus sublamellatus 41 -3.679** 0.040* -3.017* 0.358 0.957
Neobalanocarpus heimii 45 -2.680** 0.023* -2.162* 0.043** 0.617
Shorea acuminata 58 -1.537* 0.023* 1.659 -0.004 0.622
Shorea lepidota 47 -4.310** 0.031 0.723 -0.001 0.053
Shorea leprosula 64 -1.065 0.011 -0.671 0.012 -0.394
Shorea macroptera 96 -2.863*** 0.034* -1.600 0.048* 0.142
Shorea maxwelliana 133 -4.094*** 0.022 -1.185* 0.023** 0.227
Shorea multiflora 24 0.000 0.000 -2.083 0.039 NA
Shorea ovalis 26 -0.304 -0.067 -6.019 0.063 -13.966
Shorea parvifolia 70 -0.804 0.024 -0.068 -0.008 21.486*
Shorea pauciflora 38 -36.610 0.322 -2.117* 0.018 -16.404
All trees (24 species) 818 -2.064*** 0.016*** -0.690*** 0.015*** 0.104
The effect of tree size and fruiting behavior (for GF2002) on fruiting behavior (fruiting or not) as a response variable were evaluated. This
analysis was conducted only for species for which there were more than 20 individuals ([30 cm in diameter at breast height). Level of
significance was assessed by Wald test. Significant positive size dependence of fruiting behaviour and significant negative effect of adjacent
fruiting on subsequent fruiting behaviour shown in bold
NA not applicable
* P \ 0.05
** P \ 0.01
*** P \ 0.001
384 J For Res (2012) 17:378–387
123
Factors affecting fruiting behavior
Regardless of GF magnitude, positive size dependence of
fruiting behavior was found both in GF2001 and GF2002
(Table 4). This result suggests that tree size is one of the
explanatory factors for fruiting behavior of the dipterocarps
in a GF episode. However, with the exception of S. par-
vifolia, there was no evidence that adjacent reproduction
caused the absence of reproduction and decreased fecun-
dity in the subsequent fruiting event. These results indicate
that the internal resource condition of trees may not be a
primary determinant whether they bear fruits in consecu-
tive GF episodes. Since some Dipterocarpus species tend
to flower and fruit more frequently (e.g., Ashton 1982), it is
likely that internal resource condition does not directly
affect fruiting behavior of dipterocarps even in consecutive
GF episodes at the community level. However, our results
were clearly inconsistent with the several studies that have
suggested that intensity of reproduction was strongly
influenced by adjacent reproductive status in dipterocarp
species (Burgess 1972; Naito et al. 2008). One of the
reasons may be the lack of detailed quantitative data on
flowering and fruiting intensities of individual trees in this
study. On the other hand, Shorea parvifolia showed the
highest proportion of fruiting trees (57.1%) in GF2001
among the 12 species (Table 2). The direct reason for this
is unclear, but species-specific fruiting behavior may also
be indirectly related to the responses to resource avail-
ability. Further study is needed to examine how resource
availability affects fruiting behavior at the community and
species levels.
Our results show that fruiting of S. leprosula and S.
parvifolia in the minor GF episode was spatially aggre-
gated with respect to the total population (relative spatial
aggregation). The two species may respond to relatively
weak meteorological cues at some specific site conditions
Table 5 Summarized results of the spatial pattern analysis to test ‘random reproduction’ hypothesis that assumes that the spatial distribution of
fruiting trees do not differ from that expected if flowering was a spatially random event
Species 2001 2002 Consecutive reproduction
Pattern Dmax Significant
distances
Pattern Dmax Significant
distances
Pattern Dmax Significant
distances
Dipterocarpus cornutus r – – r – – r – –
Dipterocarpus sublamellatus r – – R 170 140–210 A 250 240–250
Neobalanocarpus heimii r – – r – – r – –
Shorea acuminata r – – r – – r – –
Shorea lepidota r – – r – – r – –
Shorea leprosula A 70 20–250 r – – r – –
Shorea macroptera r – – r – – r – –
Shorea maxwelliana r – – r – – r – –
Shorea multiflora a – – r – – a – –
Shorea ovalis r – – r – – a – –
Shorea parvifolia A 30 20–120 r – – r – –
Shorea pauciflora r – – A 20 20 a – –
All trees (24 species) A 80 0–190 A 240 240–250 r – –
This analysis was conducted only for species for which there were more than 20 individuals ([30 cm in diameter at breast height). Significant
departures from the null hypothesis of ‘random reproduction’ are considered at the P \ 0.05 significance level based on 500 simulations.
Significant distances indicate distances for which L(t) was significant. Dmax represents the ‘‘scale’’ of spatial patterns, which is defined as the
distance with maximal deviation between the significant L(t) values and the mean L(t) of 500 simulations under the null hypothesis
A Aggregation pattern, R regular pattern, r random patterna Spatial patterns were not analyzed because there were no fruiting plants
Fig. 3 Representative spatial patterns that were remarkably signifi-
cant by spatial pattern analysis. a Fruiting trees of Shorea leprosula in
2001, b fruiting trees of Shorea parvifolia in 2001, and c fruiting trees
of all species in 2001. Solid line observed L(t) values, broken and
dotted lines 95 and 99% confidence envelopes, respectively, derived
from 500 simulations of the random reproduction hypothesis, which
assumes that the spatial distribution of sterile or fruiting trees does not
differ from expected if flowering was a spatially random event. Upper
deviation from the confidence intervals indicates that spatial distri-
bution of plants significantly aggregated at the spatial scales
J For Res (2012) 17:378–387 385
123
in a minor GF episode. In fact, both minimum air tem-
peratures and minimum soil moistures before GF2002
(January–March 2002) were lower than those before
GF2001 (June–August 2001) in forest understory of the
Pasoh Forest Reserve (GF2001: 20.5�C and 20.6%;
GF2002: 17.6�C and 6.9%; M. Adachi, National Institute
for Environmental Studies of Japan, unpublished results).
On the other hand, Itoh et al. suggested that spatial fruiting
aggregation of a dipterocarp species repeatedly occurred in
the Lambir Hills National Park. This may reflect a differ-
ence of elevation within a plot between the Lambir Hills
National Park (ca. 140 m) and our study site (ca. [20 m)
(Lee et al. 2004; Manokaran et al. 2004). A further study
on habitat association with topography and soil condition is
needed to determine how topographic and soil heteroge-
neity of the microenvironments affect fruiting behavior of
GF species in a lowland rain forest.
Inter-specific pattern of fruiting behavior
of dipterocarp species
We found large differences in fruiting behavior among the
12 species (Table 2). Except for S. parvifolia which showed
significant effects of adjacent reproduction on fruiting in
GF2002, percentages of fruiting trees in GF2001 marginally
positively correlated with that in GF2002 across the 12
species (Fig. 4). What explains such inter-specific differ-
ences in fruiting behavior among the dipterocarp species in
a GF episode? It is well known that rainforest tree species
can be classified into several types of guilds, strategies or
functional groups (e.g., climax and pioneer species in
Whitmore and Burnham 1984). Suzuki et al. (2009)
examined growth strategies of 11 dipterocarp species in the
50-ha plot of the Pasoh Forest Reserve, and classified the
species into fast-growing species with high mortality rates
and slow-growing with low mortality rates. Six species
(S. acuminata, S. lepidota, S. leprosula, S. ovalis, S. par-
vifolia, and S. pauciflora) in our study were regarded as fast-
growing. However, percentages of fruiting trees varied
greatly even among the six species in both GF2001 and
GF2002 (Fig. 4; Table 2). Therefore, the ecological growth
type of dipterocarp species does not simply explain the
inter-specific pattern of fruiting behavior.
Instead of growth types of trees, we assume that fruiting
behavior of dipterocarp species in a GF episode may be
related to the other reproductive traits, because there are
differences in reproductive frequency, flower and fruit
characteristics, production volume, and pollination system
even among the study species (Ashton 1982; Suzuki and
Ashton 1996). For example, the three species (S. paucifl-
ora, S. maxwelliana and S. lepidota) which showed lower
numbers of fruiting years during observations over a cer-
tain period (Yap and Chan 1990; Numata et al. 1999) had
low percentages of consecutive fruiting trees in this study.
Thus, reproductive traits may also be important in
accounting for species-specific differences in phonological
responses to internal and external conditions in dipterocarp
species. Comprehensive studies including fruiting behavior
as well as the other reproductive traits during the regen-
eration stage are important to understand reproductive
behavior of dipterocarps in GF phenomena.
Acknowledgments The authors particularly thank K. Obayashi who
arranged the establishment of the 40-ha plot. We also thank N. Kachi
and anonymous reviewers for valuable comments and suggestions.
We thank field assistants, Tompol, Ating, Data, Boo, Ali-Satu,
Semping, Ali-Dua, Kesiong, Wak, Dan, Tajam, and Omar for their
help in performing the fieldwork. The present study was a part of a
joint research project between the Forest Research Institute of
Malaysia, Universiti Putra Malaysia, and National Institute for
Environmental Studies of Japan (Grant no. E-4 from the Global
Environment Research Program, Ministry of Environment of Japan).
All the research reported here was conducted in compliance with the
laws of the relevant countries.
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