Back

Should I stay or should I go? Modelling the decision-making process behind ungulate partial migration

Abraham, J. O.; Martinez-Garcia, R.; Gijsman, F.; Phillips, E. M.; Tarnita, C. E.

2026-07-08 ecology
10.64898/2026.07.07.737075 bioRxiv
Show abstract

Despite the ecological importance of ungulate migrations, we lack a complete understanding of why some ungulates migrate and others do not. Though progress has been made towards understanding differences across species and between populations, migratory behavior varies even within populations: in many populations, some individuals remain behind as residents (partial migration). Theoretical population-level work has suggested that these different migratory tactics can coexist, but such approaches stop short of providing insights into how individuals make the decision to stay or go each year. Using long-term data from three ungulate populations, we find that individuals probabilities of migrating are highly variable across years, which points to a non-trivial context-dependent decision-making process, whose underlying mechanisms must be probed via individual-level modeling. Drawing on existing knowledge, we propose a decision-making model of ungulate migration onset wherein individuals probabilistically decide to start migrating based on the local intensity of environmental and/or social cues. Residents arise as a robust collective organization phenomenon in our model. At sufficiently large population sizes, the number of residents is invariant with total population size, consistent with empirical patterns. Instead, resident numbers are influenced by the severity of the bad season, by relevant character differences among individuals, and by how individuals contribute and respond to environmental and/or social cues; for instance, when social cues contribute to decision-making in addition to environmental ones, fewer residents result, and migration is more likely to be complete. Overall, our model provides a potential mechanistic explanation for how residents might emerge within migratory ungulate populations.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
The American Naturalist
125 papers in training set
Top 0.1%
18.4%
2
Ecology Letters
135 papers in training set
Top 0.2%
11.9%
3
Journal of Animal Ecology
75 papers in training set
Top 0.1%
8.9%
4
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 1.0%
6.2%
5
Oikos
84 papers in training set
Top 0.2%
6.2%
50% of probability mass above
6
Movement Ecology
20 papers in training set
Top 0.1%
5.5%
7
Ecology
85 papers in training set
Top 0.4%
5.1%
8
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 17%
3.2%
9
Journal of The Royal Society Interface
235 papers in training set
Top 1%
3.2%
10
eLife
5828 papers in training set
Top 36%
3.2%
11
Philosophical Transactions of the Royal Society B: Biological Sciences
72 papers in training set
Top 0.5%
2.1%
12
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.3%
1.7%
13
Peer Community Journal
281 papers in training set
Top 3%
1.7%
14
Functional Ecology
61 papers in training set
Top 0.9%
1.3%
15
Nature Communications
5641 papers in training set
Top 49%
1.3%
16
Ecology and Evolution
267 papers in training set
Top 4%
1.3%
17
Science Advances
1243 papers in training set
Top 25%
1.1%
18
Ecological Applications
34 papers in training set
Top 0.7%
1.1%
19
Scientific Reports
3612 papers in training set
Top 72%
0.9%
20
Ecological Monographs
21 papers in training set
Top 0.5%
0.8%
21
Oecologia
28 papers in training set
Top 0.7%
0.8%
22
Frontiers in Ecology and Evolution
69 papers in training set
Top 3%
0.6%
23
Biological Reviews
11 papers in training set
Top 0.2%
0.6%
24
Evolution Letters
85 papers in training set
Top 2%
0.6%