Prey Type Does Not Determine Web Design in Two Orb-Weaving Spiders
1 Department of Biology, Faculty of Education, University of Trnava, Priemyselná 4, PO Box 9, SK-91843 Trnava, Slovakia
2 Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, SK-84506 Bratislava, Slovakia
(Accepted
June 30, 2005)
*To whom correspondence and reprints requests
should be addressed.
E-mail: Pavol.Prokop@savba.sk
Key words: Orb-web spider, Larinioides cornutus, Argiope bruennichi, Web design, Foraging behavior
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INTRODUCTION
Spiders have
various foraging strategies which include active pursuit, sit-and-wait, and
prey attraction through aggressive mimicry (Uetz 1992). Orb-weavers are sit-and-wait predators who use their webs to catch prey. Once the web is completed, it cannot be
quickly or easily modified, so foraging success depends on decisions made
before web building. Thus, the
quality of the web as a prey trap is the main
factor that affects a spider¡¦s foraging success (Craig 1989). Designs of webs vary among species and
even among individuals of the same species. This variation may be due to differences in leg length (Krink and Vollrath 1999),
spatial constraints (Krink and Vollrath 2000), climatic factors (Vollrath et
al. 1997), body size (Heiling and Herberstein 1998, Venner et al. 2003), prey
capture rates, egg production (Sherman 1994, Herberstein et al.
The vibrations
produced by different prey may provide important information about that prey¡¦s
profitability (Masters et al. 1986).
Recent studies suggest that
Airborne
vibrations caused by prey significantly affect
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MATERIALS AND METHODS
Laboratory
experiment
Adult female spiders of Larinioides
and Argiope were captured in the
field from July to Sept. 2003, and were
housed in 0.3-L glass containers covered by a fine mesh in the laboratory. They were given water daily, but were
starved for 4 d prior to the experiment.
On the day of the experiment (day 0), each spider was randomly assigned
to one of 3 treatments: damselfly prey (P.
pennipes), honeybee prey (A. mellifera), or a control treatment
without prey. Prey species differed
in body weight (damselfly, mean weight ¡Ó SE: 0.034 ¡Ó
ADS =
, (Eq.
1)
where Ov is thedistance between the outermost vertical spirals, Iv is the distance between the innermost vertical spirals, and ns is the number of vertical spirals. All spiders that did not built webs were excluded from further experiments. After these web measurements were taken, I removed the cage from the spider¡¦s chamber and then introduced a single specimen of the prey type into the chamber. Usually, the prey was captured by the spider and ingested. In some cases (n = 3 for Argiope and n = 13 for Larinioides in the honeybee treatment), the introduced prey was first killed and then was placed near the spider¡¦s chelicerae which allowed the spider to ingest the prey. This procedure is frequently used in experiments with spiders (A. M. Heiling, pers. comm.). In only 1 case did a spider (Larinioides) not ingest the prey, so that spider was excluded from further analysis. After prey ingestion, I broke several lateral radii to collapse the web and encourage rebuilding. This procedure was not carried out with the control treatment, because unfed spiders rebuild webs very rarely after web damage, and there were insufficient samples in the control group.
The next day (day 2), I repeated the web measurements
described above, except for the control treatment, because it allowed for
comparison of differences between web design before and after the capture of
specific prey types. Each spider in
the experiment was used only once.
All values are given as the mean ¡Ó SE.
Field observations
I conducted field observations to examine possible relationships
between prey length and height of the web mesh for adult females of Larinioides cornutus and Argiope bruennichi in 2 different
natural habitats in
----------------------------------------------------------------------------------------------------------------
RESULTS
Effects
of airborne vibrations on web design
In Larinioides, the width
of the prosoma and body mass significantly
differed between the 3 treatments (one-way ANOVA, p = 0.044 for both variables).
On the contrary, ANOVA showed no differences in prosomal width (p = 0.57) or body mass (p = 0.68) in Argiope between treatments.
Therefore, I used both of these
variables as covariates because they affected the web design by adult females
(Heiling and Herberstein 1998) and mesh height or capture thread length
(CTL). An
Table 1. Effects of the type of prey on capture thread length (CTL) and mesh height
|
Dependent variables |
Effect |
df
effect |
df error |
F |
p |
|
Capture thread length (CTL) |
Treatment |
2 |
110 |
.229 |
0.795 |
|
Spider
species |
1 |
110 |
4.032 |
0.047 |
|
|
Treatment
x species |
2 |
110 |
.311 |
0.733 |
|
|
Mesh height |
Treatment |
2 |
110 |
.138 |
0.871 |
|
Spider
species |
1 |
110 |
1.531 |
0.218 |
|
|
Treatment
x species |
2 |
110 |
.582 |
0.561 |
Effects of body mass on web design
Larinioides cornutus
After pooling the data and standardizing them for the effect of
treatment on day
I also performed a
regression analysis with height of the mesh as the dependent variable, which
revealed that both the width of the prosoma and body weight entered the model,
but not significantly (R2
= 0.095, p = 0.066). They
therefore explained very little of the variation in mesh height (Table 2).
Table 2. Multiple regression for the effect of body measurements on web measures of females of Larinioides cornutus and Argiope bruennichi. Beta (£]) values and significance are given.
|
Independent variables |
Prosomal
width |
Body
weight |
||
|
Dependent variables |
L. cornutus (n = 57) |
A. bruennichi (n = 61) |
L. cornutus (n = 57) |
A. bruennichi (n = 61) |
|
CTL |
0.426 ** |
0.381* |
-0.13 |
-0.535** |
|
Mesh height |
0.245 |
0.455** |
0.108 |
-0.368* |
CTL, capture thread length; * p < 0.05; ** p < 0.01.
Argiope bruennichi
Using the multiple
regression as described for Larinioides,
the width of the prosoma and body weight both entered the model (R2 = 0.163, p = 0.006, n =
61),
and both significantly affected CTL (Table
3). Similar results were obtained
for the height of the mesh (R2
= 0.122, p = 0.023) (Table 2).
Table 3. Effect of damselfly
capture on the web design of Larinioides
cornutus and Argiope bruennichi
|
Controlled variables |
Spider species |
Before prey capture |
After prey capture |
Test statistics |
p |
|
CTL (cm) |
L. cornutus (n = 13) |
1270.41 ¡Ó 155.73 |
991.37 ¡Ó 126.87 |
t12 = 5.44 |
0.001 |
|
|
|||||
|
|
A. bruennichi (n = 17) |
967.85 ¡Ó 108.83 |
810.34 ¡Ó 108.64 |
t16 = 1.95 |
0.069 |
|
Mesh height (mm) |
L. cornutus (n = 13) |
2.73 ¡Ó 1.68 |
2.53 ¡Ó 1.76 |
t12 = 1.52 |
0.154 |
|
|
A. bruennichi (n = 17) |
2.47 ¡Ó 1.67 |
2.48 ¡Ó 1.63 |
z = -0.45 |
0.653 |
Success with the capture of prey
All individuals of both spider species successfully
captured the damselfly (day 1).
However, only three of 16 Larinioides
successfully captured the honeybee.
In one of these cases, the spider killed the prey out of its orb-web. In contrast, Argiope spiders were successful in 20 of 23 attempts on
honeybees. This difference was
highly significant (Fisher's exact test, p
< 0.0001).
Effects of capturing the prey
Damselflies
In 13 cases, the damselfly was captured and eaten by Larinioides, and the web was rebuilt. I found significant differences between days
1 and
Honeybees
In 6 cases, Larinioides
There were 13 cases in which Argiope
captured and ingested the honeybee and then rebuilt the orb-web. The CTL significantly decreased, but
mesh height did not (Table 4).
Table 4. Effect of honeybee
capture on web design of Argiope
bruennichi
|
Controlled variables |
Before prey capture |
After prey capture |
Test statistics |
p |
|
CTL (cm), n = 13 |
1012.53 ¡Ó 93.12 |
785.99 ¡Ó 90.78 |
t12 = 4.482 |
0.001 |
|
Mesh height (mm), n = 13 |
2.69 ¡Ó 1.68 |
2.48 ¡Ó 1.87 |
t12 = 1.785 |
0.100 |
Effects of ingesting different prey on web
design
For Argiope, I failed to
detect statistical differences in web design on day 2 between spiders that had captured
damselflies and those that had captured honeybees (t-test, p > 0.865 for all web measures). Because of the small sample size
obtained for honeybees in Larinioides (see
above), I could not examine the effect of prey ingestion in this species.
Frequency
of web building
The probability of web building was slightly affected by prey
type. Only 29.63% of Larinioides spiders in the honeybee
treatment had built their orb-webs by day 1 (Table 5).
Table 5. Frequency of web building in Larinioides and Argiope. Spiders were examined for the effects of airborne vibrations (webs built between days 0 and 1) and effects of the prey capture experience (webs built between days 1 and 2). Percentages are given in parentheses.
|
|
From
days 0 to 1 |
From days 1 to 2 |
||
|
Treatment |
Larinioides |
Argiope |
Larinioides |
Argiope |
|
Control observed/total |
20/47 (42.6) |
16/41 (39) |
4/20 (20) |
3/16 (18.8) |
|
|
|
|||
|
Damselfly observed/total |
21/40 (52.5) |
22/43 (51.2) |
13/21 (61.9) |
17/22 (77.3) |
|
|
|
|||
|
Honeybee observed/total |
16/54 (29.6) |
23/47 (48.9) |
6/16 (37.5) |
13/23 (56.5) |
|
|
|
|||
This difference
was nearly significant in comparison with the damselfly and control treatments (G
= 5.17, df = 2, p
= 0.07). No differences in web-building
frequency between the 3 treatments were found for Argiope (G = 1.42, df = 2, p = 0.49). Controlling for
between-species differences, I standardized the web-building frequencies
relative to the average web-building frequency in the control treatments of
both species (36/88 = 0.409). This value was then used to calculate an index of
web-building frequency (i.e., control treatment) of each spider species, i.e.
0.409/(20/47) = 0.96 for Larinioides and 0.409/(16/41) = 1.05 for Argiope. I separately
multiplied this index by the frequency of web building in the experimental
treatments for each species. The standardized web-building frequency in the
honeybee treatment was 28.44 (calculated using the residual frequency of 15/54)
for Larinioides and 51.38 (with a residual
frequency of 24/47) for Argiope. This difference was significant (G =
5.79, df = 1, p = 0.016). In contrast, no difference between
species for the damselfly treatment was found.
Similarly, the frequency of web rebuilding (day 2) for the initial
number of spiders used in the honeybee treatment (day 0) was significantly
lower for L. cornutus (6 of 54; 11%)
than for A. bruennichi (13 of 47;
28%) (Fisher's exact test, p = 0.042).
Field observations
Relationships
between web design and prey capture
The average height
of the mesh observed in Larinioides
was 5.09 ¡Ó
Frequency of honeybee
capture
Honeybees were found significantly more frequently in the webs of Argiope (4 of 41 webs) than in Larinioides (0 of 98 webs; Fisher's
exact test, p = 0.007).
----------------------------------------------------------------------------------------------------------------
DISCUSSION
This study indicates a lack of short-term responses to airborne vibrations of prey and to prey-capture experience on web design. Web building is costly in terms of the actual production of silk proteins and the movement costs of construction (Eberhard 1986). One could expect a spider to reduce its costs by building stronger (i.e., denser spirals) and smaller webs when the available prey is small with high kinetic energy. Although neither Argiope nor Larinioides responded to different kinds of prey, it is possible that spiders are less sensitive to short-term changes in prey type, and more responsive to longer-term exposure to prey of specific morphology and behavior (Schneider and Vollrath 1998, but see Olive 1982).
The prey used in this experiment strongly differed in
absolute body weight. One could
argue that these differences might have affected the results obtained after
ingestion due to differences in satiation between treatments. This is unlikely for 2 reasons. First, prey weight as a percentage of
spider weight varied only between 14% and 32% (note that data from ingestion of
honeybees by Larinioides were not used, see "Results" for more details). Second, web design after prey ingestion
showed similar trends regardless of prey type. In both species, the length of the capture
threads tended to decrease after prey ingestion. This result most likely reflects the
effect of food satiation (Sherman 1994, Tso 1999, Herberstein et al.
The frequency of web building and the success of prey capture appeared to be affected by
the presence of novel and/or dangerous prey. Larinioides
was less likely to build a web in the presence of honeybees than in the
presence of damselflies.
Furthermore, its web-building frequency in the presence of honeybees was
significantly lower than that for Argiope. These differences could have been caused
either by airborne vibrations or by odor cues produced by the prey. Several studies have demonstrated that
The results of this study reflect differences in
foraging behaviors between the 2 spider species. In general, diurnal spiders remain in
their webs throughout the day and night, while nocturnal ones spin their webs at dusk and ingest their webs at dawn (Stowe
1986, Herberstein and Elgar 1994).
Unlike Argiope, Larinioides builds its web in the
evening (
Considering morphology, Argiope,
with its longer 4th (wrapping) legs, is able to capture more-dangerous prey
than is either Araneus or Larinioides (Olive 1980). Because Larinioides is active mostly at night, the probability of capturing
honeybees is low. This suggestion
is supported by the present study and published field observations that show
that honeybees are only rarely caught by Larinioides
(Kajak 1965, Nyffeler and Breene 1991).
In contrast, Nyffeler and Breene (1991) found that honeybees comprised
15% of prey specimens collected from webs of Argiope. During field
observations, I also noted a significantly higher frequency of honeybees in Argiope webs than in Larinioides webs. Moreover, I observed that most individuals
of Larinioides, unlike those of Argiope, were significantly less likely
to catch honeybees, despite actively responding to their presence in the
web. In this scenario, airborne
vibrations originating from unprofitable prey can convey important information
to spiders about prey identity.
Effects of morphology on web design, especially on mesh height, are interesting in light of mixed results from other studies (see Heiling and Herberstein 1998 and references therein). In the present study, the effects of body size measures on web design were strongly species-specific. Capture thread length of both species was significantly affected by prosomal width (see also Olive 1980, Murakami 1983). On the other hand, despite a correlation between prosomal width and body weight, their effects on capture threads differed. This negative relationship between body weight and CTL was clearly significant for Argiope, with Larinioides showing a similar trend. This is not surprising, because heavier spiders must devote more energy to web building (Venner et al. 2003) and cocoon production, so their foraging investment in web production should be lower (Sherman 1994). An opposite relationship was found for Larinioides sclopetarius (Heiling and Herberstein 1998). Interestingly, mesh height variation in Argiope, but not in Larinioides, was likely a function of morphological specializations rather than a response to specific prey.
Prey capture can differ strongly between nocturnal and diurnal spiders. Nocturnal spiders may predominantly catch moths, whereas diurnal spiders may mostly catch Hymenoptera (Herberstein and Elgar 1994). Interestingly, orb-webs of Larinioides were all found to be intact in the early morning without indications of previous prey capture, such as tracks left by prey (Craig 1989). It is unclear if these webs were simply unsuccessful during night foraging, or if they were built in the early morning. By mid-morning, most of the Larinioides orb-webs had trapped prey, so it seems that diurnal foraging is also important for Larinioides. Perhaps it is possible that Larinioides employs both nocturnal and diurnal foraging tactics. This question warrants future research.
Acknowledgments: I thank Radoslav Kvasničák for his help during lab experiments and
Daniela Grygláková for her help with data collection in the field. Michael R. Maxwell kindly improved the English
of the manuscript. Three anonymous
reviewers provided very constructive comments on the paper. This study was partly funded by a VEGA grant no. 2/4082/04 of the Slovak Academy of
Sciences.
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