Variation in Reflective Flow Explains Speed of Obstruction Circumnavigation on Atta colombica Foraging Trails
Catherine T. Prendergast1, Jon F. Harrison1, and Kaitlin M. Baudier1,2,*
1Arizona State University, School of Life Sciences, Tempe, AZ 85287. 2The University of Southern Mississippi, School of Biological, Environmental, and Earth Sciences, Hattiesburg, MS, 39406. *Corresponding author.
Abstract
Many species follow networked trails. When such trails are blocked, obstructions must be circumnavigated or traffic redirected, but the strategies used by insects to cope with such trail blockages are variable. In a short field experiment, we obstructed foraging trails of a single nest of the tropical leaf-cutting ant Atta colombica and tested several hypothesized factors that might affect obstacle circumnavigation time. Nestward traveling ants solved the obstacle problem more quickly than outward bound ants. Traffic rate and terrain difficulty were not related to solving speed. More than half of the ants were reflected by the obstacle (reversing direction), with outbound ants much more likely to be reflected than nestward traveling ants. A lower proportion of reflected ants was associated with faster solving speed, both comparing nestward versus outbound ants and variation across obstructions. While further studies with greater colony-level replication will be required to test the generality of these findings, this preliminary study suggests that nestward- and outbound-traveling ants have different strategies when encountering trail obstacles.
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Volume 6, 2026 Neotropical Naturalist Notes No. 2
Variation in Reflective Flow
Explains Speed of Obstruction
Circumnavigation on
Atta colombica Foraging Trails
Catherine T. Prendergast, Jon F. Harrison,
and Kaitlin M. Baudier
NEOTROPICAL NATURALIST
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Cover Photograph: Workers of the topical leafcutter ant Atta colombica transporting flower petals to their nest in Gamboa, Panama
in June 2018. Photograph © Kaitlin Baudier.
Neotropical Naturalist Notes
C.T. Prendergast, J.F. Harrison, and K.M. Baudier
Vol. 6, 2026 N2:1–9
1
Vol. 6, 2026 NEOTROPICAL NATURALIST NOTES N2:1–9
Variation in Reflective Flow Explains Speed of Obstruction
Circumnavigation on Atta colombica Foraging Trails
Catherine T. Prendergast1, Jon F. Harrison1, and Kaitlin M. Baudier1,2,*
Abstract – Many species follow networked trails. When such trails are blocked, obstructions must
be circumnavigated or traffic redirected, but the strategies used by insects to cope with such trail
blockages are variable. In a short field experiment, we obstructed foraging trails of a single nest of the
tropical leaf-cutting ant Atta colombica and tested several hypothesized factors that might affect obstacle
circumnavigation time. Nestward traveling ants solved the obstacle problem more quickly than
outward bound ants. Traffic rate and terrain difficulty were not related to solving speed. More than half
of the ants were reflected by the obstacle (reversing direction), with outbound ants much more likely
to be reflected than nestward traveling ants. A lower proportion of reflected ants was associated with
faster solving speed, both comparing nestward versus outbound ants and variation across obstructions.
While further studies with greater colony-level replication will be required to test the generality of
these findings, this preliminary study suggests that nestward- and outbound-traveling ants have different
strategies when encountering trail obstacles.
Introduction
Efficient traffic flow is important for many social organisms, including ants. Leaf-cutting
ants clear trunk trails (networked trails that lead from the nest to foraging sites) of debris,
which allows foragers to travel on the forest floor 2.6 to 10 times faster than on uncleared
paths (Bouchebti et al. 2019, Hölldobler and Wilson 2011, Shepherd 1982, Steadman et
al. 2020), enhancing efficiency in a manner similar to highway systems. Previous study of
strategies these ants use to detect, breakdown, and remove small obstructions have yielded
interesting findings for the field of collective behavior (Caldato et al. 2016). However,
trunk trails can sometimes become blocked by objects too large to be removed such as large
branch falls or displaced rocks. Trunk-trails then become vulnerable to cascading failure,
wherein the blockage of the foraging trail leads to a lapse in foraging traffic as ants are unable
to navigate the trail system for a period of time, leading to a reduction in food intake
at the colony level (Howard 2001). In this behavioral note, we investigated the responses of
one colony of Atta colombica Guérin-Méneville (Colombian Leafcutter Ant) to the presence
of seven immovable obstructions that completely blocked trunk trails.
Leaf-cutting ants are ecosystem engineers that strip plants of their leaves in order to
feed their massive, farmed fungus gardens underground (Hölldobler and Wilson 2011). The
large size of leaf-cutting ant colonies coupled with their multi-modal navigational foraging
make them interesting species to study in terms of how they navigate obstructions to the
smoothed trails they create to efficiently traverse the forest floor (Hölldobler and Roces
2001, Hölldobler and Wilson 2011, Riveros and Srygley 2008). A large obstruction not only
disrupts the continuous pheromone trail, but also the visual geometry of the trail and communication
between outbound and nestward ants, all vital methods of information-gathering
(Czaczkes et al. 2015) that affect foraging efficiency (Bouchebti et al. 2015). To circum-
1Arizona State University, School of Life Sciences, Tempe, AZ 85287. 2 The University of Southern
Mississippi, School of Biological, Environmental, and Earth Sci ences, Hattiesburg, MS, 39406.
*Corresponding author: kaitlin.baudier@usm.edu.
Associate Editor: Jordan Smith, Boston University.
Neotropical Naturalist Notes
C.T. Prendergast, J.F. Harrison, and K.M. Baudier
Vol. 6, 2026 N2:1–9
2
navigate, ants need to navigate through the surrounding vegetation and back to the cleared
trail on the other side. The primary aim of this study was to investigate how quickly ants
circumnavigate large trail obstructions, and what factors influence circumnavigation time.
We also examined how quickly the ants restored traffic flow after obstruction removal.
There is precedent for nestward and outbound ants to differ in their capacity or motivation
to solve object circumnavigation problems. Nestward ants use different strategies
for travelling on foraging trails than outbound ants due to the higher cost of leaf-carrying
(Dussutour et al. 2009b). Because outbound ants can return to the nest and have more
alternate pathways to complete their task, we hypothesized that outbound ants might more
readily be reflected by the obstacle, returning to the nest when faced with an obstruction,
or be recruited to a different trail and resource via U-turns, which serve an important,
understudied role in ant navigation (Beckers et al. 1992, Dussutour et al. 2009a, Reid
et al. 2012). In contrast, nestward ants carrying leaves must deliver loads to the nest to
complete their task. We therefore predicted that nestward ants would be less likely to be
reflected by the obstacle and would circumnavigate obstructions faster than outbound
ants. We also asked whether higher traffic rates were associated with quicker problemsolving,
as is sometimes but not always observed (Kao and Couzin 2014, Kao et al. 2014).
Higher traffic rates might allow quicker circumnavigation due to the presence of more
ants searching for routes. However, interactions among ants encountering obstructions
could impede problem-solving via increased physical interactions, time costs of information
exchange, or introduction of conflicting information.
Materials and Methods
In June 2018, we observed responses to seven metal trail obstructions at different points
along two major foraging trunk trails radiating from the nest of a single A. colombica
colony in Gamboa, Panama. Data were collected over two days while ants were foraging,
from 07:00–14:00. Because we wished to examine effects of traffic level on obstacle
circumnavigation independently of time of day or temperature, we selected obstruction
locations that differed widely in traffic rate when observed at the same time upon an initial
survey of the area. All sites where observations were made remained in near complete
canopy shade for the duration of all observations.
We mounted a cell phone video camera above the trail, recording trail traffic 14 cm to
either side of obstructions. The obstruction was an 8.5 cm diameter smooth metal cylinder,
pushed into the soil so ants could not climb over or dig underneath it. Average pre-obstruction
nestward and outbound traffic rates were calculated from 20 sequential counts of ants
passing a centroid reference point per minute. The obstruction was then placed, and we
filmed for another 20 minutes. We filmed for an additional 5 minutes following obstruction
removal to capture the return of foraging columns to their original path.
We collected behavioral data from the videos of each obstruction (Fig. 1). We measured
the time at which the first nestward and first outbound ant from each obstruction successfully
navigated around the obstruction (i.e., circumnavigated it and continued along the
trail on the other side, leaving the frame of the video without turning back), hereafter ‘time
to first pass.’ We recorded the time at which the first nestward and outbound ant reused the
‘original’ trail (the central segment of the trail which had previously been obstructed) after
obstacle removal, hereafter ‘time to first reuse.’ We tracked the paths taken by a subset of
ants for each obstruction. We observed 10 nestward and 10 outbound ants per obstruction
during the second minute after obstruction placement. Ants that traveled back in the direcNeotropical
Naturalist Notes
C.T. Prendergast, J.F. Harrison, and K.M. Baudier
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tion they came and exited the frame of the video after encountering the obstruction were
defined as ‘reflected ants.’ To test for effects of traffic rate and directionality of movement
(nestward versus outbound) on the speed with which each group circumnavigated
the obstruction, we fitted a linear model with time to first pass as a response variable and
with traffic rate and direction (nestward or outbound) as fixed factors. Significance of factors
was assessed using a Type II likelihood ratio test. A linear regression tested whether
number of reflected ants (out of 10 observed per each direction at each obstruction) had
an effect on time to first pass or time to first reuse. A t-test compared number of reflected
ants between outbound and nestward groups.
Forager speed can vary more than twofold based on how much clearing a trunk trail
has received (Bouchebti et al. 2019). For this reason, we measured trail width (width that
was cleared of vegetation), distance from nest, and a metric of relative trail difficulty (see
“Index of environmental impenetrability” or envI in Supplemental File 1, available online at
https://eaglehill.us/neononline/suppl-files/neon-017-Baudier-s1.pdf) to test for correlations
between any of these potential factors and our main variables of interest. Trail widths at
obstructions ranged from 5.03–10.2 cm, and distances from the nest entrance ranged from
1.43–21.7 m. We used a correlation matrix (Pearson correlations) to explore these factors
and their relationship to the main variables of interest more in-depth (Fig. S1). All analyses
were performed in R version 4.0.0 (R Core Team, 2019).
Figure 1. (a) Visualization of the timeline followed while recording the experiment. (b) Example
traces of the paths of a single outbound ant and a single nestward ant relative to the obstruction over
a one-minute timeframe in the second minute following trail obstruction. Orientation of each ant is
shown by arrows (point of the arrow corresponds to the head of the ant). Space between arrows represents
distance traveled by the ant over 5 seconds.
Neotropical Naturalist Notes
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Results
Pre-obstruction traffic rate had a marginally non-significant effect on time until the first
ant circumnavigated the obstruction (trend toward a negative relationship; Fig. 2a; Table 1),
but nestward ants circumnavigated obstacles significantly faster than outbound ants (Fig.
2b; Table 1). Groups where fewer ants were reflected achieved a faster time to first pass
(Fig. 3a). Twice as many outbound as nestward ants were reflected by obstructions (Fig. 3b).
However, time to first reuse was not significantly predicted by the number of reflected ants
(linear regression: F = 2.31, p = 0.154, R2 = 0.162; Fig. S2).
Pearson’s correlations revealed a strong positive correlation between time to first pass
and time to first reuse, and a moderate negative correlation between percentage of leaf carriers
and both time to first pass and time to first reuse (Fig. S1). However, distance to nest,
envI (terrain difficulty) and trail width showed little correlation (positive or negative) with
time to first pass or time to first reuse and were weakly correlated with each other (Fig. S1).
Figure 2. Type II analysis of a linear model (structure: Time_first_pass ~ Traffic + Direction, adjusted
R2 = 0.42) showed a marginally nonsignificant effect of traffic rate (a, F1,11 = 4.21, p = 0.065) but a
significant effect of traffic direction (b, F1,11 = 7.02, p = 0.023) on solving time (n = 14; groups of ants
traveling either nestward or outbound on each of the seven observed trails) (Table 1). Data for outbound
ants shown in indigo (triangles in panel a), nestward traveling ants shown in green (circles in panel a).
Table 1. Statistical output of Type II analysis of a fitted linear model (Time_first_pass ~ Traffic +
Direction).
df Sum Sq Mean Sq F p
Traffic 1 9556.4 9556.4 4.2112 0.06474
Direction 1 15929.7 15929.7 7.0198 0.02261*
Residuals 11 24961.9 2269.3
Neotropical Naturalist Notes
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Vol. 6, 2026 N2:1–9
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Discussion
Trail obstructions due to events such as fallen tree limbs are common in the rainforest
environment of A. colombica (van der Meer and Bongers 1996). Perhaps not surprisingly,
we report that ants found their way around these relatively small artificial blockages
quickly: on average, within 5 minutes. However, the time it took trails of ants to solve obstacle
problems varied by a factor of 10, and was not significa ntly related to traffic level
or local terrain difficulty. The significant factors we do report in this brief study of one
nest help form testable hypotheses for the behavioral tactics this ecologically dominant
tropical ant species uses to respond to interruptions in foraging. These findings of flexible
responses of leafcutter ants to trail obstacles also suggest some previously unrecognized
aspects of ant foraging strategies.
Perhaps the most striking observation was that large fractions, averaging 80% of outbound
ants, were reflected by obstacles. Reflected ants turned around and traveled back
toward either the nest or other foraging areas. This was not apparent until we tracked
individuals in the videos, because there were typically many ants moving quickly near the
obstacle after the trail was blocked. When more ants were reflected and fewer remained in
the vicinity of the obstacle, circumnavigation occurred more slowly (Fig. 3a). Nestward
ants engaged in less of this reflective flow than outbound ants (Fig. 3b). Solving was
also faster for ants traveling nestward than for those traveling outbound (b). This could
be evidence of a temporary directional division of labor, wherein nestward ants solve
obstructions and outbound ants move out of the way. Because leafcutter ant trails are all
connected to the nest, it would be relatively easy for an outbound ant to return to the nest
and find a different, unobstructed trunk trail to traverse. Time and energy may be saved
if the outbound ant returns to the nest and leaves again on a different foraging trail. It is
more difficult to understand why 40% of nestward ants were reflected, especially those
carrying leaves, as in most cases it was not apparent that there was another trunk trail
Figure 3. (a) Time to first pass increased with proportion (number out of ten observed) of reflected
ants (F1,12 = 6.33, p = 0.027, R² = 0.345). (b) Number of ants per obstruction (n = 7 obstructions)
that were reflected (turned and reversed direction) was higher for outbound ants (F1,12 = 7.29, p =
0.019). Data for outbound ants shown in indigo (triangles in panel a), nestward traveling ants shown
in green (circles in panel a).
Neotropical Naturalist Notes
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Vol. 6, 2026 N2:1–9
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available to return from the foraging area to the nest. It may be that this behavior reduces
crowding at the obstacle that might attract predators or impede solving the obstacle problem.
While we found a marginally non-significant effect of traffic level measured before
the obstacle placement on solving time, there was a trend toward higher traffic slowing
obstacle solution. It is possible that reflected ants returning to the nest communicate information
about blockages to nestmates, potentially stimulating traffic redirection away
from the site of the obstacle. This was not investigated in our study. However, there is
precedent for the adaptive use of similar tactics in other species and contexts. In Linepithema
humile (Mayr) (Argentine Ant), for instance, a greater number of foraging ants
U-turn and lay trail pheromone on routes to high-value food sources, with higher U-turn
contacts to outbound ants signaling higher recruitment (Reid et al. 2012).
Reflectance in response to obstructions is a little-investigated behavior but is reported
to be common in Pheidole megacephala (Fabricius) (African Big-headed Ant) (Dussutour
et al. 2009a). Reflection responses likely differ according to the type of obstruction,
however, because A. colombica are not reported to engage in frequent U-turns when faced
with low overhead clearance (a covered bridge) (Dussutour et al. 2009c). More generally,
reflectance illustrates a general principle of problem-solving: sometimes it may be more
efficient to give up on obstacles. One practical example of this concept is the methodology
that guides navigation apps to reroute cars around high-traffic areas.
Why there was so much variation in the proportion of reflected ants across the different
obstacle tests remains an interesting question. Possible explanations include that some
foraging sites are linked by other routes, that outbound ants perceive differing levels of
productivity for different foraging sites, or that some trails have higher recruitment or
persistence. This topic merits further exploration.
Temperature and time of day can significantly affect the walking speeds and leaf intake
of A. colombica at this site (Welch et al. 2020). It is unlikely that temperature or time of day
affected the observed differences between nestward and outbound ants, as these were paired
measures made at the same time at each site. However, temperature or time of day may have
influenced the observed cross-site variation. In our data set, there was no significant connection
between traffic rate (a strongly temperature- and time-of-day driven factor) and any of
our focal metrics of obstacle solving ability. However, proportion of ants carrying leaves,
a factor known to vary with time of day (Welch et al. 2020), did show a negative correlation
with obstacle circumnavigation time. As such, future investigations of the relationship
between temperature and obstruction circumnavigation remain an interesting prospect.
The ants that solved obstacle problems were not reflected, but instead found routes
through the vegetation, around the obstacle and back to the trail on the other side. Ants
use a variety of strategies to navigate while foraging (Wehner 2020), including a magnetic
compass (Riveros and Srygley 2008), visual information (Ribeiro et al. 2009), trail pheromones
(Hölldobler and Wilson 2011), and also egocentric information (Bisch-Knaden and
Wehner 2001). The observation that for some, but not all obstacles, ants were able to solve
the problem quickly, may also be due to some of these observation locations having stronger
visual or olfactory cues that could be used by ants to find their way. These results merit
further studies exploring the generalizability of these findings in this species and beyond.
Data Availability
The data used to support the findings of this study are included within Supplemental File 1, available
online at https://eaglehill.us/neononline/suppl-files/neon-017-Baudier-s1.pdf.
Neotropical Naturalist Notes
C.T. Prendergast, J.F. Harrison, and K.M. Baudier
Vol. 6, 2026 N2:1–9
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Funding
Funding for fieldwork was provided by the Arizona State University Study Abroad Office, and Barrett,
the Honors College at Arizona State University. Partial funding for writing was received from the National
Science Foundation (IOS 1953419 & REU 2349627) and the University of Southern Mississippi.
Acknowledgements
We thank the Smithsonian Tropical Research Institute for use of their facilities. Permits were issued
by the Panamanian Ministry of the Environment (MIAMBIANTE).
Author contributions
Catherine Prendergast collected all field data during an ASU Study Abroad Course at STRI in
Panama, with oversight from Baudier and Harrison. Prendergast and Baudier conducted the statistical
analysis, with input from Harrison. Prendergast wrote the first draft, and Prendergast, Baudier and
Harrison edited and revised the document.
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