Back

Asynchronous population dynamics induced by higher-order andnegative asymmetric ecological interactions

Bagchi, D.; P K, N. F.

2026-01-20 ecology
10.1101/2025.08.21.671436 bioRxiv
Show abstract

Phase synchronized population dynamics of various species constituting a complex ecosystem elevates the risk of their extinction due to both environmental stochasticity and simulateneous low density fluctuations. Therefore, an extremely vital approach to measure the extinction risk of an ecosystem as a whole is to quantify the phase synchrony among the species populations co-habiting and interacting with each other in an ecosystem. Generally, in models describing population dynamics of ecosystems, both trophic and non-trophic inter-species interactions are modelled as interactions between two species. This approach contradicts the fact with such a large number of species living in close proximity, more than two species must partake in the same interaction influencing the population dynamics of each other. To address this, higher-order interactions need to be incorporated in the models describing population dynamics of an ecosystem. Consequently, their effect on phase synchronization of populations also need to be investigated. In this study, we model a species-rich ecosystem as a complex phase oscillator network and examine the phase dynamics of the total population. Each node of this network represents a constituent species, modelled as a Sakugachi-Kuramoto phase oscillator coupled non-linearly to the other nodes through both first-order and higher-order inter-species interactions. These interactions can be both mutualistic (positive) and antagonistic (negative) in nature. Along with the higher-order interactions, we also incorporate inherent asymmetry among the nodes to account for habitat heterogeneity. Further, we investigate the effects of both higher-order coupling and asymmetry on the phase synchronization of the total population. Our findings demonstrate that higher-order interactions above a threshold amplitude enforces a transition from synchronous to asynchronous dynamics of the ecosystem. Further, we find that increase in the size and diversity of the ecosystem leads to an increase in the threshold value of higher order coupling required to reach asynchronous dynamics. We also demonstrate that this higher-order induced asynchrony is further promoted by high asymmetry among the individual nodes. Importantly, negative inter-species interactions, if existing to a high degree also induce asynchrony in the system. Moreover, the size of the network also plays a role in deciding the threshold value of higher order coupling required to induce asynchrony.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Theoretical Biology
144 papers in training set
Top 0.1%
14.5%
2
PLOS ONE
4510 papers in training set
Top 23%
8.3%
3
PLOS Computational Biology
1633 papers in training set
Top 4%
8.3%
4
Scientific Reports
3102 papers in training set
Top 11%
8.3%
5
Bulletin of Mathematical Biology
84 papers in training set
Top 0.3%
6.2%
6
Physical Review E
95 papers in training set
Top 0.2%
4.8%
50% of probability mass above
7
Theoretical Ecology
21 papers in training set
Top 0.1%
4.8%
8
Ecological Modelling
24 papers in training set
Top 0.1%
4.8%
9
Mathematical Biosciences
42 papers in training set
Top 0.3%
3.5%
10
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.0%
11
Oikos
74 papers in training set
Top 0.2%
2.0%
12
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 3%
2.0%
13
Ecology
70 papers in training set
Top 0.3%
2.0%
14
eLife
5422 papers in training set
Top 39%
1.9%
15
Chaos, Solitons & Fractals
32 papers in training set
Top 0.9%
1.9%
16
Ecology and Evolution
232 papers in training set
Top 2%
1.7%
17
Frontiers in Ecology and Evolution
60 papers in training set
Top 2%
1.7%
18
Royal Society Open Science
193 papers in training set
Top 2%
1.7%
19
Biosystems
18 papers in training set
Top 0.2%
1.3%
20
Journal of Biosciences
12 papers in training set
Top 0.1%
0.9%
21
Physical Biology
43 papers in training set
Top 2%
0.9%
22
BMC Ecology and Evolution
49 papers in training set
Top 2%
0.9%
23
iScience
1063 papers in training set
Top 27%
0.9%
24
PNAS Nexus
147 papers in training set
Top 1%
0.8%
25
Mathematical Biosciences and Engineering
23 papers in training set
Top 0.6%
0.8%
26
The American Naturalist
114 papers in training set
Top 2%
0.6%
27
Physical Review Research
46 papers in training set
Top 1%
0.6%