Mathematical modeling

Landscape evolution model

A landscape evolution model is a physically-based numerical model that simulates changing terrain over the course of time. The change in, or evolution of, terrain, can be due to: glacial or fluvial erosion, sediment transport and deposition, regolith production, the slow movement of material on hillslopes, more intermittent events such as rockfalls, debris flows, landslides, and other surface processes. These changes occur in response to the land surface being uplifted above sea-level (or other base-level) by surface uplift, and also respond to subsidence. A typical landscape evolution model takes many of these factors into account. Landscape evolution models are used primarily in the field of geomorphology. As they improve, they are beginning to be consulted by land managers to aid in decision making, most recently in the area of degraded landscapes. The earliest landscape evolution models were developed in the 1970s. In those models, flow of water across a mesh was simulated, and cell elevations were changed in response to calculated erosional power. Modern landscape evolution models can leverage graphics processing units and other acceleration hardware and software, to run more quickly. (Wikipedia).

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From playlist Geography

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From playlist BIOLOGY: Ecology & Environment

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From playlist [T1 2022] Workshop - Mathematical models in ecology and evolution - March 21st to 25th, 2022

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From playlist Summer School on Stochastic modelling in the life sciences

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From playlist Summer School on Stochastic modelling in the life sciences

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From playlist Summer School on Stochastic modelling in the life sciences

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From playlist Stanford Historical Society

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From playlist Summer School on Stochastic modelling in the life sciences

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From playlist Differential Equations

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From playlist Living Matter 2018

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From playlist School and Discussion Meeting on Population Genetics and Evolution

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From playlist Statistical Physics of Complex Systems - 2022

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From playlist Bangalore School on Statistical Physics - X (2019)

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From playlist Living Matter 2018

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From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)

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Evolution of dispersal: kin selection by Ophelie Ronce

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From playlist Third Bangalore School on Population Genetics and Evolution

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Can evolution be understood quantitatively? by Daniel Fisher

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From playlist Public Lectures

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From playlist Bangalore School on Statistical Physics - X (2019)

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The Evolution of Populations: Natural Selection, Genetic Drift, and Gene Flow

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From playlist Biology/Genetics

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Jake Scott: Incorporating ecological epistasis into evolutionary control of cancer

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