B I O L O G I C A L C O N S E RVAT I O N
1 4 1 ( 2 0 0 8 ) 2 5 1 6 –2 5 2 7
available at www.sciencedirect.com
journal homepage: www.elsevier.com/locate/biocon
Bryophytes on tree trunks in natural forests, selectively logged
forests and cacao agroforests in Central Sulawesi, Indonesia
Nunik S. Ariyantia, Merijn M. Bosb, Kuswata Kartawinatac,d, Sri S. Tjitrosoedirdjoa,
E. Guhardjaa, S. Robbert Gradsteine,*
a
Department of Biology, Faculty of Mathematics and Science, Bogor Agricultural University, Bogor, Indonesia
State Museum of Natural History, Rosenstein 1, 70191 Stuttgart, Germany
c
Herbarium Bogoriense, Indonesian Institute of Science, Bogor, Indonesia
d
Botany Department, Field Museum, Chicago, Illinois 60605-2496, USA
e
Institute of Plant Sciences, University of Göttingen, 37073 Göttingen, Germany
b
A R T I C L E I N F O
A B S T R A C T
Article history:
Forest disturbance and transformations into agricultural land alter tropical landscapes at
Received 29 January 2008
drastic rates. Here, we investigate bryophyte assemblages on trunk bases in natural forest,
Received in revised form
selectively logged forest and cacao agroforests that are shaded by remnants of natural for-
30 May 2008
est in Central Sulawesi. Overall, bryophyte richness per site did not differ between forest
Accepted 12 July 2008
types. However, mosses and liverworts reacted differently in that moss richness was lowest
Available online 6 September 2008
in cacao agroforests, whereas liverwort communities were equally rich in all forest types.
In terms of cover, mosses remained unaffected while liverwort cover decreased signifi-
Keywords:
cantly in disturbed forest. Species composition of bryophytes clearly changed in cacao
Bryophyte diversity
agroforests as compared to natural forests and selectively logged forests. In particular some
Drought tolerance
drought-sensitive species were rare or absent in cacao agroforests and were replaced by
Canopy cover
drought-tolerant ones, thus underlining the importance of microclimatic changes. More-
Habitat change
over, differences in bryophyte species composition between large and small trees were only
Liverworts
pronounced in cacao agroforests, presumably due to concomitant changes in stemflow of
Mosses
precipitation water. In conclusion, the bryophyte assemblages of selectively logged forests
Tropical forest
and cacao agroforests were as rich as in natural forest, but species turn-over was particularly high towards cacao agroforests probably due to microclimatic changes. Maintenance
of shade cover is crucial to the conservation of the drought-sensitive forest species.
2008 Published by Elsevier Ltd.
1.
Introduction
Over 5 million hectares of pristine tropical forests are disturbed and transformed into agricultural land each year
(Achard et al., 2002) and the majority of remaining tropical
forests undergo frequent disturbance by human activities,
such as timber extraction and agriculture. These large scale
rapid habitat changes pose a major threat to tropical tree spe-
cies (Kessler et al., 2005) and associated flora and fauna, such
as epiphytes, birds, butterflies and beetles (Krömer and Gradstein, 2004; Schulze et al., 2004; Gray et al., 2007; Bos et al.,
2007).
Agricultural activities that involve forestry techniques
(agroforestry) are used in cultivating perennial tree crops such
as coconut, rubber, coffee and cacao (Schroth et al., 2000,
2004). In terms of heterogeneity, such cultivated forests range
* Corresponding author: Tel.: +49 551 3922229; fax: +49 551 3922329.
E-mail addresses: nuniksa@yahoo.com (N.S. Ariyanti), sgradst@uni-goettingen.de (S. Robbert Gradstein).
0006-3207/$ - see front matter 2008 Published by Elsevier Ltd.
doi:10.1016/j.biocon.2008.07.012
B I O L O G I C A L C O N S E RVAT I O N
from small scale coffee and cacao agroforests that are shaded
by forest remnants, to regional homogeneous land cover by
corporate palm plantations. Whereas non-intensive agroforestry systems such as shaded coffee and cacao agroforests
can still support levels of species richness that resemble that
of natural forests, large scale plantations that are dominated
by single crop and tree species can cause drastic declines in
associated species richness (Perfecto et al., 1997; McNeely,
2004; Schulze et al., 2004; Gradstein et al., 2007; Steffan-Dewenter et al., 2007).
Anthropogenic changes in the structure of forest habitats
generally involve canopy-thinning activities that are accompanied by increases in air circulation and solar radiation in
lower vegetation layers, with consequent microclimatic
changes (Green et al., 1995; Thomas et al., 1999). By decreasing the projected crown area, thinning may also result in
changed stemflow of precipitation water (Ford and Deans,
1978; Dietz et al., 2006), with possible consequences for the
epiphytic flora on tree trunks.
Bryophytes are the most common corticolous epiphytes, of
which indicator values for environmental changes have been
evaluated in a wide variety of landscapes (Holz and Gradstein,
2005; Drehwald, 2005; Larsen et al., 2007). Because of their
sensitivity to environmental changes, occurrences of bryophyte species have been related to microclimatic changes
that relate to vegetation type (Vellak and Paal, 1999; Newmaster and Bell, 2002; Gonzalez-Mancebo et al., 2004; Pharo et al.,
2004; Holz and Gradstein, 2005). Furthermore, the richness
and composition of bryophyte communities may indicate forest quality in terms of forest structure and resource availability (Frego, 2007). In tropical America, no less than 30–50% of
the occurring bryophyte species was lost after deforestation
(Sillett et al., 1995; Acebey et al., 2003; Nöske et al., 2008).
With less drastic forest changes, bryophyte richness and
community structure have been related to forest management (Pharo and Blanks, 2000; Pharo and Beattie, 2001; Fenton
and Frego, 2005; Humphrey et al., 2002; McGee and Kimmerer,
2002; Ross-Davis and Frego, 2002) and land use intensity in
agricultural landscapes (Zechmeister and Moser, 2001;
Andersson and Gradstein, 2005). However, no studies have included the bryophyte flora of Southeast Asia in relation to human forest use, despite the fact that disturbed forests
increasingly dominate Southeast Asian forest cover. Moreover, we are not aware of any study on bryophyte diversity
in selectively logged tropical forest.
Here we investigate bryophyte communities on tree trunks
and compare between trees in natural forests and trees in
selectively logged forests and cacao agroforests in the margin
of a large national park in Central Sulawesi, Indonesia. The impact of forest disturbance and cacao agroforestry on tree diversity in the region has been well documented (Kessler et al.,
2005; Gradstein et al., 2007), yet studies on other groups of
plants including bryophytes are lacking. A recent checklist of
bryophytes in Sulawesi (Gradstein et al., 2005; Ariyanti et al.,
in press) includes less than half the number of species recorded
from Borneo, New Guinea and the Philippines most likely because of the very incomplete inventory of Sulawesi. Our objectives are to increase our understanding of bryophyte dynamics
in relation to human forest alterations in the tropics and to
contribute to the knowledge of the bryophytes of Sulawesi.
1 4 1 ( 2 0 0 8 ) 2 5 1 6 –2 5 2 7
2.
Materials and methods
2.1.
Study sites
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The study was conducted in and around the Toro village
(1201 0 –1203 0 3000 E 129 0 3000 –132 0 S, 800–1100 m a.s.l.), about
100 km South of Palu, the capital city of Central Sulawesi,
Indonesia. Study sites were selected along the western border
of the Lore Lindu National Park where the mean annual relative air humidity was 85% and mean annual temperature
23.4 C. Annual rainfall was 2000–3000 mm, without pronounced seasonality (Gravenhorst et al., 2005).
Bryophytes were studied in a total of 12 study sites with a
minimum distance of 500 m from each other. The 12 sites belonged to the following forest types (four sites in each type).
2.1.1.
Natural forest (NF)
The investigated sites were situated in non-fragmented, protected submontane forest of Lore Lindu National Park. Human
activities were restricted to collecting of medicinal plants and
extensive hunting; rattan palms were present.
2.1.2.
Selectively logged forest (SLF)
The investigated sites were part of a continuous forest band
along the margin of the park where selective logging by
inhabitants of Toro Village was allowed. The sites contained
small to medium sized gaps and underwent disturbance of
ground vegetation by the removal of rattan. Abundance of lianas was increased as compared to natural forest as a consequence of selective extraction of canopy trees 1–2 years
previous to this study.
2.1.3.
Cacao agroforest (CAF)
The investigated sites were part of a continuous band of cacao
plantations bordering the park. Shade was provided by natural shade trees (=remaining forest cover). Boundaries between
agroforests were arbitrary based on ownership. The types of
shade tree stands used in the area differed between agroforests (Bos et al., 2007). Therefore, we marked core areas of
50 · 30 m with uniform shade tree stands. The age of the
agroforests was 6–8 years.
Natural forests were dominated by Meliaceae, Lauraceae
and Sapotaceae, selectively logged forests by Rubiaceae, Fagaceae and Myristicaceae, and cacao agroforests by Moraceae,
Myristicaceae and Melastomataceae (Gradstein et al., 2007).
Tree species richness was similar in natural forest and selectively logged forest (ca. 50 spp. per 0.25 ha), but significantly
lower in cacao agroforests (ca. 20 spp. per 0.25 ha). Stem density, basal area and canopy cover were highest in the natural
forests and lowest in the cacao agroforests. The microclimate,
measured at 10 cm above the ground, became drier from the
natural forest to the cacao agroforest (Table 1).
2.2.
Bryophyte sampling
Sampling followed the general recommendations of Gradstein
et al. (2003) for corticolous bryophytes. In each site, core areas
of 0.25 ha were marked within which bryophytes were collected from five trees with a diameter of more than 20 cm
dbh (‘‘large trees’’) and 10 trees of 10–20 cm dbh (‘‘small trees’’).
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Table 1 – Vegetation structure and microclimate (air humidity) in the three different forest types studied in Central
Sulawesi
Natural forest
a
1
Number of tree species (0.25 ha )
Stem density dbh >10 cm (0.25 ha 1)
a
Basal area (m2 ha 1)
b
Canopy cover (%)
c
Mean daytime air humidity (%)
a
Selectively logged forest
a
a
55.8 ± 5.5
140.5 ± 17.3a
56.7 ± 18.2a
90.3 ± 0.4a
97.6 ± 3.1a
48.3 ± 4
129 ± 10.3a
33.7 ± 9.3ab
81.9 ± 0.3b
94.7 ± 4.3a
Cacao agroforest
20.8 ± 7.8b
77.5 ± 21.1b
20.5 ± 8.4bc
78.7 ± 0.4c
89.5 ± 7.8a
Statistical significance indicated by lower case letters (Tukey HSD post hoc tests, p < 0.01).
Air humidity was measured at 10 cm above the ground in two sites per forest type over a period of 100 days (December 2004–March 2005), using
data loggers (Migge, pers. comm.).
a After Gradstein et al. (2007).
b After Hertel et al. (2007).
c After Migge (unpublished).
We distinguished between these two classes of trees because
they seemed to be inhabited by different bryophyte species,
especially in the cacao agroforests. To maximize information
on species richness, we sampled tree species standing well
apart and differing in bark texture (rough, smooth). The majority of the species were rough-barked. In all, we sampled 58 different tree species (14 smooth-barked) in natural forest, 54
species (13 smooth-barked) in selectively logged forest and
23 species (2 smooth-barked) in cacao agroforest. On the large
trees, five small plots of 20 · 30 cm were positioned between 0
and 2 m height on the trunks. From the small trees, bryophytes
were collected from two or three 600 cm2 plots such that the
total equaled 25 plots per site. Cover of bryophyte species
was recorded in percent of 600 cm2.
Bryophyte specimens were identified using recent taxonomic treatments (see Gradstein et al., 2005) and reference
collections of Herbarium Bogoriense (BO), the Herbarium of
the University of Göttingen (GOET) and the Herbarium of
the National University of Singapore (NUS). Vouchers were
deposited in BO.
2.3.
Data analysis
We tallied species richness for all bryophytes and for mosses
and liverworts separately (hornworts were not recorded in
this study). Commonness of bryophyte species was determined based on the number of trees on which the species
was present. Species were considered common when they occurred on 10% or more of all trees. We constructed accumulation curves for observed and estimated species richness to
assess the completeness of our sampling in each forest type.
On a per site basis, species-saturation was assessed by comparing the observed and estimated species richness. For species richness estimation, we chose the incidence-based
coverage estimator (ICE) as implemented in EstimateS 7.0
(Colwell, 2004), which is recommended for taxonomic groups
of which abundance is difficult to quantify (Chao et al., 2000).
Effects of forest type on observed and estimated species
richness per 0.25 ha2 study sites (n = 4 per habitat type) were
tested in general linear models (GLMs) with type I variance
decomposition. In the models, forest type was entered first,
followed by replication of study sites. To test whether effects
of forest type were site-dependent, the interaction effect between forest type and site replication was entered.
The effects of forest type on species richness and bryophyte cover (%) per 600 cm2 plot (n = 200 per forest type) were
tested with GLMs with type I variance decomposition, forest
type entered first, followed by tree size (large and small) and
its interaction effects with forest type and tree size to test
whether effects of habitat or tree type were site-dependent.
Cover data were arcsine square-root transformed before analyses in order to achieve normal distribution of the data. The
same model was used to compare the cover per plot of the
most common bryophyte species.
To test for the effects of forest type on the structure of
bryophyte communities, we calculated shared and unshared
species between natural forest, selectively logged forest and
cacao agroforest. In addition, we calculated the Sørensen similarity index from presence–absence data for each pairwise
comparison between sites and tree sizes. We used the multidimensional scaling (MDS) to visualize the similarity matrix.
The number of dimensions was chosen based on the percentage of raw stress reduced calculated with the first five dimensions. For each scaling, stress values below 0.20 were
considered as a good fit to the similarity matrix. Analyses of
similarity (ANOSIM) were carried out to test for statistical significance of differences between community structure of the
investigated forest types and tree size.
General linear models and multidimensional scaling were
carried out using Statistica 6.0 (StatSoft Inc, 2001) and analyses of similarity using PRIMER 5.0 ( 2000 PRIMER-E Ltd.).
3.
Results
3.1.
Species richness and abundance
In total, 168 species of bryophytes were recorded in the twelve
0.25 ha sites, including 88 species of mosses (19 families) and
80 species of liverworts (8 families) (Appendix; hornworts
were not recorded). Lejeuneaceae were the most species-rich
family, being represented by 41 species. Neckeraceae (10 species) were the overall most commonly observed moss family,
Leucobryaceae and Lepidoziaceae were only found in natural
and selectively logged forests, and Frullaniaceae (7 species)
were the most common and species-rich family in cacao
agroforests (Appendix).
The accumulation curves of observed species richness
showed little evidence of approaching an asymptote (Fig. 1),
B I O L O G I C A L C O N S E RVAT I O N
Cumulative species numbers
120
100
80
60
40
20
0
1
26
51
76
101
126
151
176
201
Plot numbers
Fig. 1 – Plot-based species accumulation curves of
bryophytes in natural forest (continuous line), selectively
logged forest (dashed line), and cacao agroforest (dotted line)
in Central Sulawesi. Size of the plots is 30 · 20 cm.
75
Mosses
Liverworts
60
45
30
15
0
Natural forest Selectively
logged forest
112, 114 and 102, respectively (estimated richness: 131, 126,
and 120, respectively).
Although estimated species richness was higher than observed species richness in all sites, neither observed richness
(51–58 species per site, GLM: F[2,6] = 0.2, p = 0.82) nor estimated
richness (66–79 species per site, GLM: F[2,6] = 0.53, p = 0.61) were
significantly affected by forest type (Fig. 2). At the plot level
(600 cm2), however, species richness of mosses decreased significantly in selectively logged forests and cacao agroforests as
compared to natural forests (GLM: F[2,2] = 39.32, p = 0.02, Fig. 2).
The species richness of liverworts per plot was not significantly affected by forest type (GLM: F[2,2] = 2.68, p = 0.27, Fig. 2).
In terms of cover per plot (%), liverworts decreased significantly in the selectively logged forests as compared to natural
forests and cacao agroforests (GLM: F[2,2] = 17.54, p = 0.05),
whereas cover of mosses was not significantly affected by forest type (GLM: F[2,2] = 2.73, p = 0.27) (Fig. 2). Tree size affected
neither species richness (mosses: 1.9–2.8, GLM: F[1,2] = 0.19,
p = 0.71; liverworts: 1.7–2.8, GLM: F[1,2] = 0.00, p = 0.97) nor cover
(mosses 11–16%, GLM: F[1,2] = 0.66, p = 0.50; liverworts: 5–10%,
F[1,2] = 3.14, p = 0.22).
In total, 29 species occurred on 10% or more of the studied
trees and were thus assigned ‘‘common’’ (Table 2, Appendix).
Of these, Caudalejeunea recurvistipula, Chaetomitrium lanceolatum,
Lopholejeunea subfusca, Floribundaria floribunda and Mastigolejeunea auriculata had highest abundance in cacao agroforests and
Acroporium rufum, Archilejeunea planiuscula, Homaliodendron
exiguum, Metzgeria furcata, Mitthyridium undulatum and
Mean spp. number (0.25 ha -2)
Mean spp. number (0.25 ha -2)
suggesting that we did not sample total species richness in the
forest types. Overall observed species richness in natural forests, selectively logged forests and cacao agroforests were
90
75
60
45
30
15
0
Natural forest
Cacao
agroforest
Selectively
Cacao
logged forest agroforest
30
4
3
2
a
b
1
b
Mean cover % (0.6 m-2)
5
Mean spp. number (0.6 m-2)
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25
20
a
b
a
15
10
5
0
0
Natural forest
Selectively
logged forest
Cacao
agroforest
Natural forest
Selectively
Cacao
logged forest agroforest
Fig. 2 – Species richness of bryophytes per site (top) and species richness and cover % of bryophytes per plot (bottom) in
natural forest, selectively logged forest and cacao agroforest in Central Sulawesi. Top left: observed species richness. Top
right: estimated species richness (ICE).
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1
Table 2 – The most common bryophyte species, occurring
on 10% or more of studied trees in natural forest,
selectively logged forest and cacao agroforest in Central
Sulawesi
CAF4
Dimension 2
Selectively Cacao
logged agroforest
forest
Mosses
Acroporium rufum
Chaetomitrium lanceolatum
Chaetomitrium leptopoma
Ectropothecium dealbatum
Floribundaria floribunda
Himantocladium plumula
Homaliodendron exiguum
Leucophanes octoblepharoides
Meteoriopsis squarrosa
Mitthyridium undulatum
Neckeropsis lepineana
Pelekium velatum
Pinnatella kuehliana
Pinnatella mucronata
Symphysodontella cylindracea
0.27
0.01
0.17
0.75
0.32
0.39
0.51
0.39
0.16
1.14
0.52
0.19
0.95
0.58
0.35
0.13
0.02
0.15
0.18
0.26
0.49
0.33
0.77
0.27
0.97
0.42
0.19
0.74
0.36
0.11*
0.03**
0.47***
0.44
0.91
1.7***
0.06
0**
0.09
0.13
0.05*
1.34
0.45
0.08
0.9
0.03**
Liverworts
Archilejeunea planiuscula
Caudalejeunea recurvistipula
Cheilolejeunea vittata
Heteroscyphus argutus
Lejeunea anisophylla
Lejeunea obscura
Lepidolejeunea bidentula
Lopholejeunea subfusca
Mastigolejeunea auriculata
Metalejeunea cucullata
Metzgeria furcata
Plagiochila junghuhniana
Porella acutifolia
Stenolejeunea apiculata
1.03
0.01
0.42
0.54
0.33
0.59
0.5
0.46
0
0.01
0.41
0.11
0.44
0.09
0.47
0.04
0.09
0.33
0.31
0.01
0.33
0.61
0
0.01
0.08**
0.21
0.16
0.02
0.2*
0.42**
0.12
0.18
0.25
0.4
+
2.34***
1.27***
+
0***
0.13
0.3
0.18
Stars (* = p < 0.05; ** = p < 0.01; *** = p < 0.001) indicate significant
differences based on GLM analysis and Tukey’s HSD post hoc tests.
Cross (+) indicates cover less than 0.01%.
Symphysodontella cylindracea had lowest abundance in the agroforests (Table 2). Only two species, Metzgeria furcata and
Symphysodontella cylindracea, had significantly lower cover
values in selectively logged forests in comparison to natural
forests; no species had highest cover in the selectively logged
forests.
The first two dimensions of the multidimensional scaling
of Sørensen’s similarity index reduced 99.9% of the raw stress,
with stress values lower than 0.20. This two-dimensional
scaling of similarity between bryophyte communities shows
distinct bryophyte compositions in cacao agroforests as compared to those in the natural and selectively logged forests
(Fig. 3), which is confirmed by ANOSIM results (Table 3).
Fifty-two species (30%) occurred in cacao agroforests as well
as in natural and selectively logged forests. The ANOSIM results further confirm that bryophyte communities of the natural and selectively logged forests did not significantly differ
(Table 3): of 145 bryophyte species that occurred in the natural
and selectively logged forests, over half occurred in both for-
CAF2
0.5
Mean cover (%) (600 m 2)
Natural
forest
Stress: 0.1
CAF1
NF3
CAF3
SLF1
0
SLF4
NF2
SLF2
-0.5
NF4
SLF3
NF1
-1
-1
-0.5
0
0.5
1
1.5
2
2.5
Dimension 1
Fig. 3 – Multidimensional scaling based on Sørensen’s
indices for similarity of bryophyte communities on tree
trunk bases in three different forest types in Central
Sulawesi. Because patterns were similar for mosses and
liverworts, the graph is shown for overall bryophyte
communities in natural forests (NF), selectively logged
forests (SLF) and cacao agroforests (CAF). Lines connect sites
of the same habitat type.
est types (Table 3). Lastly, these results confirm that bryophyte
communities on small and large trees only differed in the cacao agroforests, and this difference was only significant for
mosses (Table 3).
4.
Discussion
The species richness of mosses and liverworts per site did not
differ significantly between natural forests, selectively logged
forests and cacao agroforests. This supports the notion that
cacao agroforests can preserve rich bryophyte communities
that may be almost as species rich as those in natural forests
(Andersson and Gradstein, 2005). However, species turn-over
was particularly high towards the cacao agroforests. Moreover, we found a marked difference between mosses and liverworts in their response to forest type. Mosses were most
affected in terms of species richness, whereas liverworts were
affected only in terms of cover.
Liverwort cover on tree stems was negatively affected by
the logging activities, whereas cover of mosses remained
unaffected. This is in accordance with Thomas et al. (2001),
who found a similar effect on liverworts and mosses after
thinning of temperate evergreen forests. Surprisingly, in the
present study liverwort cover increased in the cacao agroforests. This may be due to the fact that the disturbance event
(logging) in the selectively logged forests dated back 1–2 years
before the study took place as compared to 6–8 years in the
cacao agroforests. Acebey et al. (2003) found that re-establishment of Bolivian rainforest bryophytes in fallows following
deforestation was faster for liverworts than for mosses. In
4-year-old fallows they found only liverworts (all of them
members of Lejeuneaceae) and in 10–15-year-old fallows still
three quarters of the bryophyte species were liverworts.
B I O L O G I C A L C O N S E RVAT I O N
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Table 3 – Similarity (ANOSIM) based on Sørensen’s similarity index of overall bryophyte communities, communities of
mosses and communities of liverworts on large (>20 cm dbh) and small (<20 cm dbh) tree trunks in natural forest (NF),
selectively logged forest (SLF) and cacao agroforest (CAF) in Central Sulawesi
Pairwise comparison
All bryophytes
R
P
Shared species
0.05
0.58
0.468
0.724
0.01
0.01
55.9 %
41.7 %
43.1 %
Between large and small tree trunks
NF
0.031
SLF
0.115
CAF
0.370
0.457
0.686
0.029
Between forest types
NF vs. SLF
NF vs. CAF
SLF vs. CAF
Mosses
R
Liverworts
P
Shared species
0.019
0.525
0.429
0.318
0.01
0.01
58.4 %
39.5 %
37.3 %
0.021
0.146
0.479
0.457
0.886
0.029
R
P
Shared species
0.063
0.4
0.415
0.779
0.01
0.01
52.9 %
44.3 %
48.7 %
0.078
0.042
0.120
0.371
0.600
0.343
Values that are significant at the 5% level are given in bold.
However, species composition in the fallows differed significantly from that of the forest. Our observations are in general
agreement with those of Acebey et al. (2003) and are suggestive
of fast recovery of the liverwort communities in cacao agroforests in terms of abundance but not in species composition.
The pronounced differences between mosses and liverworts in their response to habitat changes may relate to their
different adaptations to environmental drought. In general,
bryophytes depend on environmental moisture to maintain
turgor pressure (i.e., are poikilohydric; e.g., Proctor, 2000),
which may explain their sensitivity to selective logging and
cacao agroforestry. Most of the mosses in the study sites were
turfs or large, feathery or tree-like plants growing exposed to
the air with considerable risk of drying out. In contrast, most
liverworts formed small mats adhering closely to bark or were
growing thread-like among larger species (supporting Richards, 1984), thus decreasing the risk of desiccation. Moreover,
the majority of these epiphytic liverworts, especially members of Lejeuneaceae and Frullaniaceae, possess ‘water sacs’
that are adaptations for water retention and thus decrease
the risk of drying out (Gradstein and Pócs, 1989).
Of the 29 most common bryophyte species (i.e., species
that occurred on 10% or more of all trees sampled), more than
one third were affected by forest type. Almost equal numbers
of species decreased and increased in cacao agroforests. The
majority of the decreasing species (Acroporium rufum,
Homaliodendron exiguum, Mitthyridium undulatum, Symphysodontella cylindracea) are known as desiccation-intolerant taxa
characteristic of the shaded understory of tropical rainforests
(Gradstein and Pócs, 1989). Those species that increased in
cacao agroforests are all known as desiccation-tolerant species that are characteristic of open habitats (Caudalejeunea
recurvistipula, Lopholejeunea subfusca and Mastigolejeunea
auriculata) or have leaves densely covered by papillae that prevent desiccation (Floribundaria floribunda and Chaetomitrium
lanceolatum) (Richards, 1984; Proctor, 2000; Gradstein et al.,
2002). Other examples of drought-tolerant species in our collections are members of the genera Frullania and Macromitrium, all
of which were exclusively found in cacao agroforests and have
been categorized as ‘‘sun-epiphytes’’ (Gradstein et al., 2001).
Bryophyte assemblages of small and large trees differed
only in the cacao agroforests. This may be due to the
increased stemflow of precipitation water on small trees in
cacao agroforest, as compared with the larger trees (Dietz
et al., 2006; Dietz, 2007), stemflow having pronounced effects
on corticolous bryophytes (Proctor, 1990).
Thus, although overall species richness per site did not significantly differ between the forest types, bryophyte assemblages on trunk bases changed clearly in composition
towards the cacao agroforests, primarily because of the
replacement of drought-intolerant species by drought-tolerant
ones. The species assemblages of the selectively logged forest,
however, were less different from the natural forest. These
findings correlate with microclimate in the forest understory
which tended to become dryer towards the cacao agroforest
(Table 1). Work in progress (Sporn et al., in preparation) suggests that the bryophyte assemblages of the cacao agroforest
are rather characteristic to this forest type. Our results also
indicate that selectively logged forests can contribute to the
conservation of the natural forest flora, confirming earlier findings for tree diversity of these forest (Gradstein et al., 2007), and
for butterflies (Schulze et al., 2004; Veddeler et al., 2005) and
bryophytes (Costa, 1999; but see Holz and Gradstein, 2005) of
secondary forests. In addition, our results indicate that more
intense forms of land-use, such as cacao agroforestry, may
lead to drastic floristic changes in tropical forest landscapes.
In conclusion, overall bryophyte richness and abundance
on trunk bases in selectively logged forests and cacao agroforest was not significantly different from that of natural forests.
In terms of species composition, the assemblages in the natural forest remained largely unchanged in selectively logged
forests, but clearly changed in the cacao agroforests. These
floristic changes toward cacao-dominated agroforests possibly relate to the more open canopy and the resulting changes
in microclimate and rainfall dynamics in these systems. Our
results show that such environmental changes may affect
species groups asymmetrically and thus drive changes in
the bark-inhabiting bryophyte flora.
Floristic changes resulted primarily from adaptations to
environmental drought, which differs between mosses and
liverworts and thus explains their different response to habitat
change. Liverworts seemed to be better capable of recovery in
cacao agroforests than mosses. However, most community
changes were explained by the changes in drought-tolerant
versus drought-intolerant species. Whereas some typical
drought-intolerant taxa almost disappeared in the cacao
2522
B I O L O G I C A L C O N S E RVAT I O N
agroforests, some typical ‘‘sun-epiphytes’’ flourished in the cacao agroforests, which is in general agreement with results from
recent work on epiphyte dynamics along similar habitat gradients in tropical America (Acebey et al., 2003; Nöske et al., 2008).
Our study shows that selective logging activities in the
margins of tropical rainforests do not necessarily conflict
with the conservation of the bryophyte flora, which argues
for the inclusion of moderately disturbed forests in conservation schemes. It suggests that moderately intensive forest use
(rattan extraction, selective logging) in rainforest areas may
not necessarily be in conflict with conservation of bryophyte
diversity. A similar conclusion was reached for tree diversity
in the study area (Gradstein et al., 2007). It indicates that future conservation policies may focus on developing measures
aimed at moderate use of the rain forest rather than attempting to exclude human activities. Moreover, out study shows
that cacao agroforests can support high bryophyte richness
and thus contribute to the conservation of bryophyte flora
outside protected areas. However, we conclude that in order
to maximize the proportion of forest flora in cacao agroforests, management should aim at maintaining sufficient shade
cover in these agroforests. Shade cover is crucial to maintain
microclimatic conditions that are comparable to those in natural forests and can enhance the conservation of droughtintolerant, disturbance-sensitive forest species.
Acknowledgments
This study was carried in the framework of German–Indonesian research program ‘‘Stability of Rainforest Margins in
Group/family/species
Natural forest
mc
np
Mosses
Brachytheciaceae
Rhynchostegiella menadensis
Rhynchostegium celebicum
Calymperaceae
Arthrocormus schimperi
Calymperes afzelii
Calymperes boulayi
Calymperes caugiense
Calymperes tuberculosum
Exostratum blumei
Leucophanes massartii
Leucophanes octoblepharoides
Mitthyridium jungquilianum
Mitthyridium undulatum
Syrrhopodon aristifolius
Syrrhopodon muelleri
1
6
4
3
1
1
18
29
9
15
6
24
4
1
Dicranaceae
Campylodontium flavescens
Dicranoloma brevisetum
5
5
Entodontaceae
Entodon bandongiae
Erytodontium julaceum
9
2
Fissidentaceae
Fissidens ceylonensis
Fissidens crassinervis
12
7
1 4 1 ( 2 0 0 8 ) 2 5 1 6 –2 5 2 7
Indonesia’’ (STORMA) funded by the German Research Foundation (DFG-SFB 552, Grant to SRG). This manuscript was
written in the context of a scientific writing workshop at
the agricultural university of Bogor, Indonesia. We gratefully
acknowledge the support from STORMA’s partner university
‘‘Universitas Tadulako’’ in Palu, Sulawesi, the Ministry of Education in Jakarta (DIKTI) and the authorities of Lore Lindu National Park ‘‘Balai Taman Nasional Lore Lindu’’. Furthermore,
we thank our field assistants Lisda and Tri, STORMA’s coordinating teams in Göttingen, Bogor and Palu, and the cacao
farmers in Toro. Lastly, we would like to express our gratitude
and appreciation to Dr. Benito C. Tan (Botanical Garden of Singapore) for help in identifying moss specimens, to Dr. Sonja
Migge for microclimate data, and to Dr. Michael Kessler and
Simone Sporn for helpful suggestions.
Appendix
Abundance of bryophyte species in three different forest
types in Central Sulawesi, Indonesia. Taxonomic nomenclature is in accordance with Gradstein et al. (2005) and Ariyanti
et al. (in press). Species in bold occurred on P10% of trees
sampled (Table 2). NF = natural forest; SLF = selectively logged
forest; CAF = cacao agroforest; mc = mean species cover (%) in
0.6 m2 plots (as based on total cover/number of plots);
np = number of plots in which the species occurred
(n = 200); nt = number of trees sampled on which the species
occurred (n = 180); + = mean cover less than 1%; = species
absent.
Selectively logged forest
mc
np
mc
np
16
7
4
5
2
8
9
3
14
4
2
2
11
6
8
5
3
7
2
4
5
9
+
7
2
2
34
7
21
2
7
9
+
Cacao agroforest
2
Overall forest types
nt
2
13
5
5
3
1
9
2
11
39
4
21
4
1
1
2
16
4
1
5
5
4
2
4
2
1
1
7
13
12
13
2
9
2
4
2
B I O L O G I C A L C O N S E RVAT I O N
2523
1 4 1 ( 2 0 0 8 ) 2 5 1 6 –2 5 2 7
Appendix – continued
Group/family/species
Fissidens hollianus
Fissidens papillosus
Hookeriaceae
Chaetomitrium lanceolatum
Chaetomitrium leptopoma
Chaetomitrium massartii
Chaetomitrium orthorrhynchum
Chaetomitrium papillifolium
Chaetomitrium setosum
Hypnaceae
Ectropothecium dealbatum
Ectropothecium ichnotocladum
Taxithelium instratum
Taxithelium nepalense
Vesicularia reticulata
Hypopterygiaceae
Cyathophorella spinosa
Hypopterygium aristatum
Hypopterygium tenellum
Lopidium strupthiopteris
Leucobryaceae
Leucobryum aduncum
Leucobryum boninense
Leucobryum javense
Leucobryum sanctum
Meteoriaceae
Barbella trichophora
Floribundaria floribunda
Floribundaria pseudofloribunda
Floribundaria thuidioides
Meteoriopsis reclinata
Meteoriopsis squarrosa
Meteorium miquelianum
Papillaria fuscescens
Natural forest
Selectively logged forest
mc
np
mc
2
3
2
32
np
Octoblepharaceae
Octoblepharum albidum
np
nt
5
1
+
1
7
2
1
5
20
1
2
7
1
3
4
4
1
8
3
5
27
19
4
2
6
5
9
7
15
28
34
2
11
14
4
10
10
2
7
1
1
6
7
3
1
7
9
17
3
3
6
20
2
2
3
2
28
2
5
3
12
12
1
+
3
1
2
8
9
2
1
4
5
1
5
1
3
11
7
6
1
5
3
2
3
11
5
1
2
+
3
5
2
20
7
2
5
3
23
7
4
11
2
1
13
7
8
1
1
11
11
2
31
11
3
7
13
8
7
6
8
10
19
18
2
7
9
6
6
13
4
9
4
31
50
44
1
5
2
4
27
30
5
5
6
4
3
31
4
+
1
16
32
4
6
22
18
4
3
2
4
7
1
1
3
3
3
44
4
2
8
21
5
1
6
7
31
30
3
11
42
8
8
47
66
2
30
Phyllogoniaceae
Cryptogonium phyllogonioides
24
26
1
11
6
15
1
2
2
1
2
5
4
5
3
2
3
5
6
Orthotrichaceae
Macromitrium semipellucidum
Prionodontaceae
Neolindbergia rugosa
Overall forest types
mc
Mniaceae
Orthomnion dilatatum
Neckeraceae
Caduciella mariei
Himantocladium plumula
Homaliodendron exiguum
Homaliodendron flabellatum
Neckeropsis gracilenta
Neckeropsis lepineana
Pinnatella alopecuroides
Pinnatella anacamptolepis
Pinnatella kuehliana
Pinnatella mucronata
Cacao agroforest
1
1
1
5
4
10
(continued on next page)
2524
B I O L O G I C A L C O N S E RVAT I O N
1 4 1 ( 2 0 0 8 ) 2 5 1 6 –2 5 2 7
Appendix – continued
Group/family/species
Natural forest
mc
np
Pterobryaceae
Calyptothecium recurvulum
Calyptothecium urvilleanum
Garovaglia elegans
Garovaglia plicata
Jaegerina luzonensis
Symphysodontella cylindracea
3
3
1
1
6
3
Rhizogoniaceae
Hymenodon angustifolium
Pyrrhobryum spiniforme
Selectively logged forest
mc
np
Cacao agroforest
Overall forest types
mc
np
nt
3
7
2
14
4
7
2
7
3
4
2
13
1
5
8
25
2
27
2
1
5
24
4
2
3
10
27
2
62
40
3
8
Sematophyllaceae
Acanthorrhynchium papillatum
Acroporium diminutum
Acroporium falcifolium
Acroporium hemaphroditum
Acroporium rufum
Acroporium sigmatodontium
Clastobryum epiphyllum
Isocladiella sulcularis.
Mastopoma uncinifolium
Unidentified species
41
11
2
13
5
5
2
4
1
62
2
2
2
2
11
2
1
10
1
1
44
2
7
1
5
5
4
1
2
13
3
2
4
+
7
1
Thuidiaceae
Pelekium gratum
Pelekium velatum
Pelekium versicolor
Thuidium assimile
Thuidium cymbifolium
Thuidium glaucinum
4
1
5
13
5
10
1
3
1
20
2
9
16
1
3
6
13
11
15
1
2
35
2
4
10
30
3
1
3
11
10
2
3
+
1
2
0
11
3
3
1
8
5
14
1
1
4
3
8
6
12
1
3
1
3
Liverworts
Frullaniaceae
Frullania ericoides
Frullania eymae
Frullania galeata
Frullania hampeana
Frullania intermedia
Frullania neosheana
Frullania reflexistipula
Geocalycaceae
Chiloscyphus ciliolatus
Chiloscyphus muricatus
Heteroscyphus argutus
Heteroscyphus coalitus
Heteroscyphus succulentus
Heteroscyphus zollingeri
Lejeuneaceae
Acrolejeunea pycnoclada
Archilejeunea planiuscula
Caudalejeunea recurvistipula
Cheilolejeunea celebensis
Cheilolejeunea ceylanica
Cheilolejeunea falsinervis
Cheilolejeunea imbricata
Cheilolejeunea meyeniana
Cheilolejeunea orientalis
Cheilolejeunea trifaria
Cheilolejeunea vittata
Cololejeunea planissima
Cololejeunea spinosa
Dendrolejeunea fruticosa
+
1
2
4
19
6
25
3
2
3
2
8
1
+
6
8
2
27
2
1
4
3
+
2
8
8
1
4
2
11
1
4
5
2
1
4
3
+
4
5
2
2
2
1
15
3
4
9
4
3
9
1
4
4
5
7
2
5
14
4
3
4
14
22
6
3
1
2
9
2
3
4
2
3
12
3
3
7
+
5
5
5
3
4
3
+
1
9
7
17
2
7
1
6
2
8
3
1
18
2
1
11
2
1
1
7
43
7
2
13
4
41
22
1
11
4
9
10
14
6
20
1
13
1
B I O L O G I C A L C O N S E RVAT I O N
2525
1 4 1 ( 2 0 0 8 ) 2 5 1 6 –2 5 2 7
Appendix – continued
Group/family/species
Drepanolejeunea angustifolia
Drepanolejeunea ternatensis
Lejeunea anisophylla
Lejeunea discreta
Lejeunea eifrigii
Lejeunea exilis
Lejeunea flava
Lejeunea obscura
Lejeunea punctiformis
Lejeunea sordida
Lepidolejeunea bidentula
Leptolejeunea epiphylla
Leptolejeunea maculata
Lopholejeunea borneensis
Lopholejeunea eulopha
Lopholejeunea nigricans
Lopholejeunea subfusca
Lopholejeunea zollingeri
Mastigolejeunea auriculata
Mastigolejeunea virens
Metalejeunea cucullata
Ptychanthus striatus
Pycnolejeunea contigua
Spruceanthus polymorphus
Stenolejeunea apiculata
Thysananthus convolutus
Thysananthus spathulistipus
Lepidoziaceae
Bazzania tridens
Lepidozia wallichiana
Metzgeriaceae
Metzgeria furcata
Metzgeria leptoneura
Metzgeria lindbergii
Plagiochilaceae
Plagiochila bantamensis
Plagiochila celebica
Plagiochila javanica
Plagiochila junghuhniana
Plagiochila longispica
Plagiochila obtusa
Plagiochila parvifolia
Plagiochila salacensis
Plagiochila sandei
Plagiochila sciophila
Porellaceae
Porella acutifolia
Porella javanica
Porella perrottetiana
Radulaceae
Radula acutiloba
Radula gedena
Radula javanica
Radula madagascarensis
Radula multiflora
Radula pinnulata
Radula retroflexa
Radula vanzantenii
Natural forest
Selectively logged forest
mc
np
mc
np
4
3
9
21
1
4
4
+
3
5
16
2
5
4
4
9
+
7
7
2
13
2
12
15
+
+
2
1
4
1
18
1
+
1
5
+
19
1
1
10
3
7
6
3
10
17
+
5
11
6
+
4
10
5
4
1
10
8
3
13
4
15
2
2
1
5
2
2
1
14
14
1
14
20
5
1
4
20
2
3
1
8
4
1
+
3
2
3
14
1
1
3
14
3
3
2
6
1
9
4
3
1
8
9
1
9
1
1
6
4
5
6
3
2
3
19
3
8
+
1
3
5
10
4
4
22
8
1
4
4
17
4
10
10
2
7
Cacao agroforest
Overall forest types
mc
np
nt
5
2
2
7
11
21
+
2
11
+
8
+
2
1
4
4
7
1
8
1
1
1
4
1
5
89
6
6
+
10
+
6
2
9
43
7
7
1
1
16
20
1
6
16
43
2
5
4
1
19
4
12
21
2
1
7
5
5
75
1
27
5
25
11
1
17
25
4
14
5
1
21
4
1
2
1
4
11
2
3
15
5
10
1
3
1
1
8
1
5
8
5
12
2
3
18
3
4
8
9
4
5
5
12
23
1
3
3
4
3
3
3
1
1
1
7
5
11
1
2
1
6
1
2526
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