Adaptive dynamics of quantitative traits in a steadily changing environment
Sakshi Pahujani, Yuna Zhang, Markus G Stetter, Joachim Krug, G Martin · 2026
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Description
Sakshi Pahujani and three co-authors model in 2026 how measurable traits adapt while the environment keeps shifting. A moving target optimum captures a climate or habitat that drifts at a steady pace. Two tools, adaptive walks and gene-by-gene simulations, test how fast a population can keep up.
A single yardstick, effective selection strength, lets the two models speak the same language. Below a critical drift speed, populations settle into a stable lag behind the optimum. The gap grows sharply as that speed nears, and traits go extinct past a fitness-based limit. The work links simple theory to the genetics that decides whether species track a changing world or fall behind.
Catalog record
| CREATOR | Sakshi Pahujani, Yuna Zhang, Markus G Stetter, Joachim Krug, G Martin |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |