Population ecology Virtual Lab II

Population ecology is the study of populations (especially population abundance) and how they change over time. Studies based on models of predation, competition as seen in interacting species is the main focus this simulation oriented lab. Lab II focuses on applied principles of population ecology for PG students.

Predator - Prey Dynamics - Rats and Snakes (Lotka Volterra Simulation)
The Lotka-Volterra equations, also known as the predator-prey equations, are a pair of first-order, non-linear, differential equations frequently used to describe the dynamics of biological systems in which two species interact, one a predator and one its
Effect of Predator Efficiency on Equilibrium Densities & Pop. Stability
Predation is a process that involves interactions between prey defences and the foraging tactics of predators. Prey items (species, age class and quality) are assumed to exist in patches and it is also assumed that these patches differ in prey density or
Effect of Social Behavior Amongst Predator-Prey Populations
Social interactions, both affiliative and agonistic, occur sometimes with relatives, sometimes with strangers, sometimes with members of the same sex, sometimes with members of other sex; and sometimes with members of the same generation while at other ti
Effects of Carrying Capacity and Satiation in Predator-Prey Dynamics
Consider a real field scenario, wherein snakes hunt frogs. The environment in which these predator/prey species exist has a specific carrying capacity. The frogs can grow at a specific growth rate and only can reach up to the carrying capacity for the fro
Harvesting a Prey Population
In a predator-prey system, the prey is consumed by the predator to survive while the prey continuously adds individuals to the system as they are hunted down to maintain the state of equilibrium. On the other hand, human interaction with nature is quite t
Optimal Foraging with Minimal Time: A Case of Searching Predators
Optimal foraging theory helps biologist to understand the factors determining a consumer’s operation range of food types. Predators are categories into two searching and sit-and-wait.
Optimal Foraging : Searching Predators that Maximize Energy
Optimal foraging illustrates the organisms forage in such a way as to maximize their net energy intake per unit time. A predator with no particular danger or other duties is likely to have a foraging strategy that maximizes energy return rather than minim
Optimal Pollinators
Foraging ecology encompasses all the behaviors that go with obtaining resources. For example, flowers even “forage” for pollinators. While considering a bee colony, a forager is a worker with a single task of collecting nectar and pollen.
Optimal Foraging: Sit-and-wait Predators that Maximize Energy
Predators are described into two categories based on its foraging strategy: searching and sit-and-wait.This experiment describes the behavior of a sit-and-wait (ambush) predator whose optimal foraging strategy to maximize the energy gain.
Microparasite and Macroparasite - Host Dynamics
Mathematical epidemiology deals with mathematical models of host-pathogen interaction and is useful in predicting the rate of disease transmission. This experiment helps us to understand the dynamics of disease transmission and the prediction of expected

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