Abstract
Collective behaviors in social insect societies often emerge from simple local rules. However, little is known about how these behaviors are dynamically regulated in response to environmental changes. Here, we use a compartmental modeling approach to identify factors that allow harvester ant colonies to regulate collective foraging activity in response to their environment. We propose a set of differential equations describing the dynamics of: (1) available foragers inside the nest, (2) active foragers outside the nest, and (3) successful returning foragers, to understand how colony-specific parameters, such as baseline number of foragers, interactions among foragers, food discovery rates, successful forager return rates, and foraging duration might influence collective foraging dynamics, while maintaining functional robustness to perturbations. Our analysis indicates that the model can undergo a forward (transcritical) bifurcation or a backward bifurcation depending on colony-specific parameters. In the former case, foraging activity persists when the average number of recruits per successful returning forager is larger than one. In the latter case, the backward bifurcation creates a region of bistability in which the size and fate of foraging activity depends on the distribution of the foraging workforce among the model's compartments. We validate the model with experimental data from harvester ants (Pogonomyrmex barbatus) and perform sensitivity analysis. Our model provides insights on how simple, local interactions can achieve an emergent and robust regulatory system of collective foraging activity in ant colonies.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 61-75 |
| Number of pages | 15 |
| Journal | Journal of Theoretical Biology |
| Volume | 367 |
| DOIs | |
| State | Published - Feb 1 2015 |
| Externally published | Yes |
Fingerprint
Keywords
- Bi-stability
- Foraging dynamics
- Sensitivity analysis
- Transcritical bifurcation
ASJC Scopus subject areas
- Applied Mathematics
- Statistics and Probability
- Modeling and Simulation
- Agricultural and Biological Sciences(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Medicine(all)
Cite this
Identifying robustness in the regulation of collective foraging of ant colonies using an interaction-based model with backward bifurcation. / Udiani, Oyita; Pinter-Wollman, Noa; Kang, Yun.
In: Journal of Theoretical Biology, Vol. 367, 01.02.2015, p. 61-75.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Identifying robustness in the regulation of collective foraging of ant colonies using an interaction-based model with backward bifurcation
AU - Udiani, Oyita
AU - Pinter-Wollman, Noa
AU - Kang, Yun
PY - 2015/2/1
Y1 - 2015/2/1
N2 - Collective behaviors in social insect societies often emerge from simple local rules. However, little is known about how these behaviors are dynamically regulated in response to environmental changes. Here, we use a compartmental modeling approach to identify factors that allow harvester ant colonies to regulate collective foraging activity in response to their environment. We propose a set of differential equations describing the dynamics of: (1) available foragers inside the nest, (2) active foragers outside the nest, and (3) successful returning foragers, to understand how colony-specific parameters, such as baseline number of foragers, interactions among foragers, food discovery rates, successful forager return rates, and foraging duration might influence collective foraging dynamics, while maintaining functional robustness to perturbations. Our analysis indicates that the model can undergo a forward (transcritical) bifurcation or a backward bifurcation depending on colony-specific parameters. In the former case, foraging activity persists when the average number of recruits per successful returning forager is larger than one. In the latter case, the backward bifurcation creates a region of bistability in which the size and fate of foraging activity depends on the distribution of the foraging workforce among the model's compartments. We validate the model with experimental data from harvester ants (Pogonomyrmex barbatus) and perform sensitivity analysis. Our model provides insights on how simple, local interactions can achieve an emergent and robust regulatory system of collective foraging activity in ant colonies.
AB - Collective behaviors in social insect societies often emerge from simple local rules. However, little is known about how these behaviors are dynamically regulated in response to environmental changes. Here, we use a compartmental modeling approach to identify factors that allow harvester ant colonies to regulate collective foraging activity in response to their environment. We propose a set of differential equations describing the dynamics of: (1) available foragers inside the nest, (2) active foragers outside the nest, and (3) successful returning foragers, to understand how colony-specific parameters, such as baseline number of foragers, interactions among foragers, food discovery rates, successful forager return rates, and foraging duration might influence collective foraging dynamics, while maintaining functional robustness to perturbations. Our analysis indicates that the model can undergo a forward (transcritical) bifurcation or a backward bifurcation depending on colony-specific parameters. In the former case, foraging activity persists when the average number of recruits per successful returning forager is larger than one. In the latter case, the backward bifurcation creates a region of bistability in which the size and fate of foraging activity depends on the distribution of the foraging workforce among the model's compartments. We validate the model with experimental data from harvester ants (Pogonomyrmex barbatus) and perform sensitivity analysis. Our model provides insights on how simple, local interactions can achieve an emergent and robust regulatory system of collective foraging activity in ant colonies.
KW - Bi-stability
KW - Foraging dynamics
KW - Sensitivity analysis
KW - Transcritical bifurcation
UR - http://www.scopus.com/inward/record.url?scp=84919359618&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919359618&partnerID=8YFLogxK
U2 - 10.1016/j.jtbi.2014.11.026
DO - 10.1016/j.jtbi.2014.11.026
M3 - Article
VL - 367
SP - 61
EP - 75
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
SN - 0022-5193
ER -