2018 CSDMS meeting-023: Difference between revisions
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{{CSDMS meeting abstract template 2018}} | |CSDMS meeting abstract title=Coupled models of landscape and species evolution | ||
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|CSDMS meeting coauthor first name abstract=Nicole | |||
|CSDMS meeting coauthor last name abstract=Gasparini | |||
|CSDMS meeting coauthor institute / Organization=Tulane University | |||
|CSDMS meeting coauthor town-city=New Orleans | |||
|CSDMS meeting coauthor country=United States | |||
|State=Louisiana | |||
|CSDMS meeting coauthor email address=ngaspari@tulane.edu | |||
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{{CSDMS meeting abstract template 2018 | |||
|CSDMS meeting abstract=Changes in landscape structure are known to affect species macroevolution largely by altering habitat connectivity. Species can disperse across a greater area when habitats expand. Habitat fragmentation reduces gene flow and increases rates of speciation. Conversely, a shrinking habitat increases the likelihood of species extinction. | |||
We integrated macroevolution processes (dispersal, speciation, and extinction) into the landscape evolution modeling toolkit called Landlab. Here, we present a new Landlab component, BiotaEvolver that tracks and evolves the species introduced to a model grid. In one model, surface process components evolve the landscape and BiotaEvolver evolves the species in response to topographic change or other characteristics of the model set by the user. BiotaEvolver provides a base species and users can subclass this object to define properties and behaviors of species types. | |||
We demonstrate BiotaEvolver using scenarios of drainage rearrangement and stream species. Stream captures and high macroevolution process rates occurred within a limited combination of parameters and conditions in hundreds of model runs. The number of species increased most rapidly after a response period following a perturbation. Species numbers declined then became stable after this period. | |||
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Latest revision as of 03:03, 1 April 2018
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Coupled models of landscape and species evolution
Changes in landscape structure are known to affect species macroevolution largely by altering habitat connectivity. Species can disperse across a greater area when habitats expand. Habitat fragmentation reduces gene flow and increases rates of speciation. Conversely, a shrinking habitat increases the likelihood of species extinction.
We integrated macroevolution processes (dispersal, speciation, and extinction) into the landscape evolution modeling toolkit called Landlab. Here, we present a new Landlab component, BiotaEvolver that tracks and evolves the species introduced to a model grid. In one model, surface process components evolve the landscape and BiotaEvolver evolves the species in response to topographic change or other characteristics of the model set by the user. BiotaEvolver provides a base species and users can subclass this object to define properties and behaviors of species types.
We demonstrate BiotaEvolver using scenarios of drainage rearrangement and stream species. Stream captures and high macroevolution process rates occurred within a limited combination of parameters and conditions in hundreds of model runs. The number of species increased most rapidly after a response period following a perturbation. Species numbers declined then became stable after this period.
