Studies of Neotropical Fauna & Environment 34: 59-64, 1999
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Studies of Neotropical Fauna & Environment 34: 59-64, 1999
ANTS, PLANTS AND BUTTERFLIES AS DIVERSITY INDICATORS: COMPARISONS BETWEEN STRATA IN SIX NEOTROPICAL FOREST
SITES.
Frances Osborn, William Goitia, Maira Cabrera
and Klaus Jaffé
Departamento de Biologia de Organismos
Universidad Simon Bolivar
Apartado 89000, Caracas 1080A, Venezuela
Fax : 58-2-9063624
e-mail : kjaffe@usb.ve
Corresponding author : Klaus Jaffe
Running Head : Diversity indicators in neotropical forests.
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ABSTRACT: We estimated the diversity and abundance of ants and nymphalid butterflies on the ground and in the canopy; and of plants in six
different forest sites in Venezuela. Statistical analysis using eight different diversity indices for each species group revealed large variations
among them. Ground ants appeared to be the most reliable bioindicators, even when only the five most common species are sampled. Results
showed in addition that ground ant diversity is correlated to that of canopy ants and that vegetational diversity is linked to butterfly diversity but
not to that of canopy ants. Ant species diversity in the canopy was always less than that of the ground. We conclude that no simple index or
taxon describes completely complex ecosystems, thus, biodiversity assessments require tools still to be developed.
Keywords: Ants, butterflies, vegetation, bioindicators, ground, canopy, biodiversity, forest.
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INTRODUCTION
A variety of studies have focused on the comparison of species richness and abundance (two components of diversity) of different
orders of insects within and between sites with regard to seasonality (e.g. Levings, 1983), amount of rainfall (e.g. Janzen & Schoener, 1967),
altitude and other factors (e.g. Janzen, 1973, Janzen et al., 1976). Other studies have looked at the use of indicator species or indicator groups
such as ants or butterflies (Brown, 1991) in order to measure the importance of a particular taxon as an indicator of the diversity of a site.
Generally, there seems to be a tendency to search for a few taxa and/or indices for biodiversity assessments of given ecosystems.
Ecosystems however may be very complex. For example, the relationship between insect and vegetational diversity has not been looked
at in great detail, nor has the possible difference between insect communities at ground and canopy level (Nadkarni & Longino, 1990). Here we
assess the relative diversity (using eight indices) of bait attracted members of two families of insects: Formicidae (Hymenoptera) and
Nymphalidae (Lepidoptera) and compare it with vegetational diversity in six forest sites in Venezuela. We chose different biogeographic
ecosystems in order to compare the relative robustness of a given taxon and index to assess biodiversity independent of the site. These
comparisons were made with respect to altitude and to two different strata of the ecosystem: the canopy and the ground in the case of the ants
and the canopy and the understorey in the case of the butterflies.
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MATERIALS AND METHODS
Study Sites :
The study was carried out in six forest sites in different biogeographic areas in Venezuela (classified according to Holdrige, 1967): Cupo,
Estado Miranda, 10o17'N, 66o22'W (Humid tropical forest, 95 m above sea level); Sartenejas, Estado Miranda, 10o27'N, 66o52'W (Humid
premontane forest, 1200 m); Pico Guacamaya, H. Pittier National Park, Estado Aragua, 10o30'N, 67o44'W (Very humid premontane forest, 1660
m); Rio Uracoa, El Merey, Estado Monagas, 8o45'N, 62o47'W (Morichal or savanna gallery forest in dry tropical forest, 70 m); San Francisco de
Yuraní, Estado Bolivar, 5o3’N, 60o57'W (Morichal in Humid premontane forest, 980 m); San Ignacio de Yuraní, Estado Bolivar, 5o2'N, 60o57'W
(Humid premontane forest, 975 m).
Sampling :
At each site a 360 m transect was strung through the forest along which collections were made of the ant fauna, butterflies from the
subfamilies Nymphalinae, Brassolinae, Saturninae, Charaxinae and Morphinae (Papilionoidea: Nymphalidae) and the vegetation, over a period
of five days. Ants and vegetation were collected only once in the dry season (January to April, 1993), whereas the butterflies were collected in
both the dry season and the wet season (July to October, 1993). The ants were collected in pitfall traps (36 x 2 per transect) filled with 50 ml of
3% formaldehyde (Romero & Jaffe, 1989), placed along the transect at 10m intervals at ground level and in the canopy. These were baited with
tuna, minced ham, sweet biscuits and honey. The traps at ground level were covered with a metal grid to protect the contents against predators
and a plastic plate to protect them against rain. The traps in the canopy were mounted using a pulley system. One end of a length of nylon was
attached to a fishing weight and shot over a high branch using a catapult. This was tied to the other end of the nylon to form a loop. The trap was
then tied on and hauled up to the correct height hanging on a rope. Ants attracted to the bait walked down the rope eventually dropping into the
trap. Ants were collected the third and the fifth day; the contents of each trap were placed separately in gauze bags and stored in 75% alcohol.
The butterflies were collected in hanging net traps 40 cm x 75 cm, baited with mashed, rotting plantains mixed with a small amount of sugar and
rum to improve fermentation as described in DeVries (1987). These were placed at head height and in the canopy at 20 m intervals along the
transect (18 x 2 per transect). The butterflies were collected daily and the individuals from each trap were stored in separate envelopes of tracing
paper.
Plant material was collected by dividing the transect into 36 sections of 10 m x 1 m each. In each section one sample of each different
morpho-species was collected in a plastic bag, one bag per section, climbing trees when necessary.
The relative abundances of genera and species were obtained using frequency of capture in traps rather than number of individuals (see
discussion in Romero & Jaffe, 1989). This reduces bias induced by recruitment in the case of the ants and patchy distributions in the case of the
vegetation. The frequency of capture of species of ants and butterflies was obtained by counting the number of traps in which each species fell.
The frequency of capture for species in the canopy was calculated apart from that for species captured at ground level for both ants and
butterflies. For comparisons of diversity indices, the butterfly data were pooled as they did not differ statistically for understorey and canopy. The
frequency of appearance of each morpho-species of plant in the 36 sections of the transect was calculated in the same way. The identification of
the ants and butterflies (to species) was undertaken using the collections at the Simón Bolívar University and Entomology Museum of the Faculty
of Agronomy, Universidad Central de Venezuela. The plant species diversity was estimated quantifying the diversity of leafs assessed
morphologically, as proposed by Vareschi (1992).
Diversity Indices :
The diversity indices calculated were: sp: species number; r2: linear regression coefficient between log(sp) and log(frequency of
occurrence of those species); eq: Czekanowski's equitability index (Feisinger et al., 1981); com5: Percentage of traps which captured the five
most common species; eq5: eq calculated using only the five most common species; sw: Shannon Weaver index (Southwood, 1978); dom:
Berger-Parker's dominance index (Southwood, 1978); dob: Doubling factor or the proportion of species captured in the first 180 m of the transect
compared to the total 360 m.
RESULTS
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The values of the various diversity indices used are given in Table 1 for each site and the correlation between the indices at each site is
given in Table 2. Few correlations were statistically significant. Comparisons between species groups showed that ground ants and canopy ants
are correlated (11 correlations), as are plant species diversity and butterfly diversity (10 correlations). No correlation between ground ants and
vegetation diversity was found.
As regards comparisons between the insect communities studied at two levels within the forests, canopy and ground (ants) and canopy
and understorey (butterflies), it is evident that both insect communities are different, more conspicuously so among ants. Ant species which
were captured in both strata represented only 10.4 % of all ant species captured; whereas for butterflies, the species captured in both strata
represented the 32.8 % of the total sampled.
Spearman's correlations between each of the indices and altitude of the sampling site revealed that only the indices r2 and com5 of
ground ants correlated significantly with altitude (rs= -0.886, p<0.05 and rs= -0.943, p<0.01 respectively), all other indices showed statistically
non-significant correlations.
DISCUSSION
Diversity Indices :
The values of the various diversity indices used (Table 1) showed a large variability among indices and among sites. Few correlations
between the indices at each site (Table 2) were statistically significant. We may assume that if a sample of species truly reflects the ecosystem
diversity, most indices should reflect this diversity, and thus high correlation among the indices is to be expected. Such a cross-correlation
occurred only for ground ant indices (Table 2). Thus, the indices for diversity assessment for ground ants, using the sampling methods used,
seemed to reflect more aspects of the ecosystem than these of the other taxa.
Comparisons between species groups showed that ground ants and canopy ants are correlated, as are plant species diversity and butterfly
diversity (Table 2). This suggests that the vegetation is tightly associated with butterflies both as larval (leaves) and adult (flowers, fruit) food.
Although canopy ants may also be associated with the vegetation, this seems to be a much looser arrangement (only one correlation). No
correlation between ground ants and vegetation diversity was found.
Many papers on the subject base their choice of taxon for biodiversity measurements on specific characteristics and supposed
advantages of the selected taxon. Our results show that ecosystem complexity is not easily reflected in simple diversity indices and sampling
different species groups will provide different results. Our results do suggest though, that sampling of ground ants will give more robust results,
using equivalent sampling efforts, compared to the sampling of bait-attracted nymphalid butterflies and/or vegetation.
Correlation Between Plants and Insects :
Other studies also found a positive correlation between vegetation and arthropod diversity, such as that reported by Janzen et. al.
(1976) along an elevational transect including high moor land (páramo) and evergreen forest, and by Romero (1986) in a study of the ant fauna
in savannas. Janzen et al. (1976) postulated that arthropod diversity could be related to net plant productivity, since higher productivity should
sustain more parts (seeds, flowers) with sufficient biomass to support a greater number of host and part - specific insect herbivore species.
However, higher plant productivity has been related to less overall vegetational diversity since more competitive species, in terms of their
capacity for rapid growth and reproduction (leading to higher total productivity), tend to dominate in a given area, lowering the vegetational
species number (Huston, 1993).
Diversity in the Canopy :
As regards comparisons between the insect communities studied at two levels within the forests, canopy and ground (ants) and canopy
and understorey (butterflies), it is evident that both insect communities are different, more conspicuously so among ants. Our method captured a
lower ant species number in the canopy than on the ground. Other studies, using fogging techniques for example (Wilson, 1987, Erwin, 1990),
claimed the opposite. The use of similar methods to sample the ground and canopy should ensure that meaningful comparisons can be made
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between the communities of these two layers. We think that our approach, although not perfect, samples ants in both strata with a comparable
bias, as we measure frequency of capture rather than total number of ants sampled. In any case, there is a marked separation of the dominant
ant genera between the two levels, probably due to the different food and habitat requirements of the two groups. There was no conspicuous
difference between the distributions of butterflies that prefer the understorey and those preferring the canopy, although the less frequent genera
tended to be confined to one of the two layers.
Sampling Methods :
With regard to the collecting efficiency of the three elements, pit fall trapping (in the case of the ants) has often been criticized (for
example Gadagkar et al., 1993) for a tendency toward bias especially when using baits and for sub sampling populations. Although both these
critiques are valid the method seems to be the most simple and adequate available at present for comparative studies such as this and has the
advantage that the insect community remains largely undisturbed, as opposed to the fogging technique which effectively strips the canopy of its
arthropod community. There is a similar bias in the collecting of butterflies using baited traps; rotting plantains only attract some subfamilies of
butterflies from the family Nymphalidae. Furthermore DeVries (1984) estimated that butterflies attracted to these traps only represent about 40%
of diurnal species (excluding Lycaenidae and Riodinidae), thus the method is limited for comparisons of the butterfly community. The vegetation
was faster and easier to collect and process than either butterflies or ants, but provided insufficient information (probably because of undersampling), with an equivalent sampling effort, as compared to that for sampling ground ants.
Altitudinal Effects :
Spearman's correlations between each of the indices and altitude of the sampling site revealed that only the indices r2 and com5 of
ground ants correlated significantly with altitude. This result confirms previous reports about the diminishing ant diversity at higher elevations
(Janzen et. al., 1976), and shows again that ground ant diversity seems to be a robust biodiversity indicator (Brown, 1991), even when only the
five most common species are sampled.
CONCLUSIONS
The soil ant species richness seems to be the best bioindicator among those tested. It is interesting to note that the difference between
using the five most common ant species in calculating the indices and using all ant species sampled is not large. This kind of simplification may
be very useful for biodiversity assessment and should be investigated further. We may conclude that our work showed that no simple solution
exists to understand complex systems. The use of single diversity indices using a single taxon for biodiversity assessments should thus be
avoided. More research is required to develop new tools for comprehensive biodiversity assessments, specially involving longer periods of
investigation and other arthropod groups which are not attracted by baiting.
Acknowledgments: This project received logistical support from CVG-Proforca, El Merey, technical assistance by Jesus Velasquez, and
taxonomic advice from Antonio Nunes Mayhe. Financial support came from project BID-Conicit QF-36.
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REFERENCES
Brown Jr K S (1991) : Conservation of Neotropical environments: Insects as indicators, p. 349-404. In: Collins N.M. and J.A. Thomas (eds.)
Conservation of insects and their environments. Academic Press. London.
Devries P J (1987) : The Butterflies of Costa Rica and their natural history; Papilionidae, Pieridae, Nymphalidae. Princeton University Press. New
Jersey. Oxford. xxii+327 pp.
Erwin T L (1990) : Canopy arthropod biodiversity: a chronology of sampling techniques and results. Revista Peruana de Entomologia. 32: 71-77.
Feisinger P, Spears E E , Poole W (1981) : A simple measure of niche breadth. Ecology 62: 27-32.
Gadagkar R, Nair P, Chandrashekara K, Bhat D M (1993) : Ant species richness and diversity in some selected localities in Western Ghats,
India. Hexapoda 5: 79-94.
Holdrige L R (1967) : Life Zone Ecology (second de.). Trop. Res. Center, San Jose, Costa Rica. 206 pp.
Huston M (1993) : Biological diversity, soils and economics. Science 262: 1676-1679.
Janzen D H (1973) : Sweep samples of tropical foliage insects: effects of season, vegetation types, elevation, time of day, and insularity. Ecology
54: 687-708.
Janzen D H, Schroeder T W (1967) : Differences in insect abundance and diversity between wetter and drier sites during a tropical dry season.
Ecology 49: 96-110.
Janzen D H, Ataroff M, Fariñas M, Reyes S, Rincon N, Soler A, Soriano P, Vera M (1976) : Changes in the arthropod community along an
elevational transect in the Venezuelan Andes. Biotropica 8: 193-203.
Levings S (1983) : Seasonal, annual, and among-site variation in the ground ant community of a deciduous tropical forest: some causes of
patchy species distributions. Ecological Monographs 53: 435-455.
Nadkarni N M, Longino J T (1990) : Invertebrates in canopy and ground organic matter in a Neotropical montane forest, Costa Rica. Biotropica
22: 286-289.
Romero H F (1986) : Formicofauna del llano Venezolano. Tesis de Licenciatura en Biologia. Universidad Simón Bolívar. Caracas. Venezuela.
Romero H F, Jaffe K (1989) : On methods for sampling of Formicidae in savannahs. Biotropica 21: 348-352.
Southwood T R E (1978) : Ecological Methods, 2nd ed. Chapman and Hall. London. xxiv+524 pp.
Vareschi V (1992) : Vegetationsoekologie der Tropen. Eugen Ulmer Verlag. Stuttgart. Germany. 306 pp.
Wilson E O (1987) : The arboreal ant fauna of Peruvian Amazon forests: A first assessment. Biotropica 19: 245-251.
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Table 1. Values for the various diversity indices for six different sites and four different species groups. Ground ants (AG), Canopy ants (AC), butterflies
(B), vegetation (V), for abbreviations of the diversity indices see text.
Indices
Sp.
R²
(log/log)
El Merey
Cupo
Bosque San Ignacio
Morichal San Francisco
Sartenejas
Henri Pittier
AG
AC
B
V
AG
AC
B
V
AG
AC
B
V
AG
AC
B
V
AG
AC
B
V
AG
AC
B
V
57
28
16
98
39
12
31
133
73
46
51
205
55
30
35
209
26
20
26
144
14
4
20
107
0.811
0.604
0.951
0.892
0.738
0.375
0.898
0.896
0.748
0.745
0.87
0.872
0.51
0.657
0.8
0.948
0.559
0.532
0.779
0.956
0.494
0.277
0.981
0.923
0.723
Eq.
0.578
0.642
0.753
0.606
0.599
0.624
0.766
0.605
0.542
0.666
0.586
0.563
0.561
Com5
71.7%
37.1%
31.7%
61.1%
63.9%
27.8%
43.3%
66.7%
65.6%
31.7%
81.1%
82.8%
63.3%
20.6%
0.58
0.598
0.541
0.603
0.669
0.546
0.485
0.75
0.727
0.615
94%
55.6%
44.4%
30.6%
32.2%
65%
42.2%
4.4%
34.4%
61.1%
Eq5
0.95
0.84
0.84
0.97
0.94
0.61
0.96
0.88
0.99
0.84
0.93
0.96
0.94
0.87
0.96
0.98
0.86
0.73
0.94
0.96
0.68
0.75
0.84
0.97
Sw
5.971
4.716
3.417
6.09
5.583
4.102
4.389
6.381
6.188
5.121
5.5
6.91
5.794
4.544
5.341
6.596
4.932
4.503
4.167
6.293
4.463
2.322
3.937
6.318
Dom.
0.082
0.172
0.12
0.052
0.109
0.397
0.1
0.057
0.053
0.22
0.078
0.038
0.308
0.129
0.09
0.03
0.16
0.302
0.123
0.051
0.376
0.25
0.133
0.045
Dob
0.754
0.929
0.563
0.724
0.763
0.714
0.968
0.812
0.726
0.804
0.891
0.741
0.909
0.7
0.743
0.837
0.789
0.75
0.731
0.692
0.714
0.75
0.6
0.785
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Table 2: Spearman's correlation coefficients between diversity indices of ground ants (GA), canopy ants (CA), butterflies (B) and vegetation (V)
among the various sites studied. For abbreviations of the diversity indices used, see text. Values of r > 0.828 and >0.942 are significantly
different from random at probabilities of >95 and >99 % respectively.
GAsp
GAr2
GAcom5
0.886
0.943
GAeq5
0.986
0.841
-
GAsw
1.000
-
-
0.886
GAdom
-0.829
-0.943
-
-0.886
GAeq
GAcom5
GAeq5
GAsw
GAdom
0.928
0.986
-0.899
-0.829
CAsp
0.886
-
-
-
-
0.886
-
CAr2
0.886
-
-
-
-
0.886
-
CAeq
-
-
-0.943
-
-
-
-
CAcom5
-
0.943
-
0.829
-
-
-0.886
CAsw
0.943
-
-
-
0.899
0.943
-
Bdom
-0.829
-
-
-
-
-0.829
-
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Table 2 cont.
GAr2
GAsp
CAr2
CAsw
CAdom
CAeq5
CAdom
Vcom5
-0.853
-0.896
1.000
0.943
0.943
-
-
0.986
Bdom
-0.829
-0.829
-
Veq5
-
-
-
Bsp
Br2
Beq.
Bcom5
0.886
-
-
Bsw
1.000
-
-
0.886
Bdom
-0.829
-
-
-
Bdob
0.829
-
-
-
Vsp
0.886
-
-0.829
0.829
Veq
-
0.943
-
-
-
Veq5
-
-
-
-
-0.896
Vsw
0.943
-
-
0.943
0.943
-
-
0.943
-
-
Bcom5
Bsw
0.829
Vdom
0.829
0.886
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