Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes DOI Creative Commons
Elizabeth T. Chevy, Jiseon Min, Victoria Caudill

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июль 24, 2024

Individual-based simulation has become an increasingly crucial tool for many fields of population biology. However, continuous geography is important to applications, and implementing realistic stable simulations in space presents a variety difficulties, from modeling choices computational efficiency. This paper aims be practical guide spatial simulation, helping researchers implement individual-based avoid common pitfalls. To do this, we delve into mechanisms mating, reproduction, density-dependent feedback, dispersal, all which may vary across the landscape, discuss how these affect dynamics, describe parameterize convenient ways (for instance, achieve desired density). We also demonstrate models using current version simulator, SLiM. additionally natural selection -- particular, genetic variation can demographic processes. Finally, provide four short vignettes: pikas that shift their range up mountain as temperatures rise; mosquitoes live rivers juveniles experience seasonally changing habitat; cane toads expand Australia, reaching 120 million individuals; monarch butterflies whose populations are regulated by explicitly modeled resource (milkweed).

Язык: Английский

Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes DOI Creative Commons
Elizabeth T. Chevy, Jiseon Min, Victoria Caudill

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июль 24, 2024

Individual-based simulation has become an increasingly crucial tool for many fields of population biology. However, continuous geography is important to applications, and implementing realistic stable simulations in space presents a variety difficulties, from modeling choices computational efficiency. This paper aims be practical guide spatial simulation, helping researchers implement individual-based avoid common pitfalls. To do this, we delve into mechanisms mating, reproduction, density-dependent feedback, dispersal, all which may vary across the landscape, discuss how these affect dynamics, describe parameterize convenient ways (for instance, achieve desired density). We also demonstrate models using current version simulator, SLiM. additionally natural selection -- particular, genetic variation can demographic processes. Finally, provide four short vignettes: pikas that shift their range up mountain as temperatures rise; mosquitoes live rivers juveniles experience seasonally changing habitat; cane toads expand Australia, reaching 120 million individuals; monarch butterflies whose populations are regulated by explicitly modeled resource (milkweed).

Язык: Английский

Процитировано

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