This model is an adaptation of the classic experiment conducted by Peter Buri (1956), which documented genetic drift in laboratory populations of Drosophila.
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Online labs provide your students with the possibility to conduct scientific experiments in an online environment. Remotely-operated labs (remote labs) offer an opportunity to experiment with real equipment from remote locations. Virtual labs simulate the scientific equipment. Data sets present data from already performed lab experiments. Please use the filters on the right to find appropriate online labs for your class. Labs can be combined with dedicated Apps to create Inquiry Learning Spaces (ILSs).
If you are looking for online labs especially suitable for the curricula of Benin, Kenya or Nigeria, please visit our Collections page.
If you select labs in English, the descriptions on this website will still be displayed in English. However, when you include the lab in an ILS and change the language setting of the ILS to English, the lab will be displayed in English within the ILS.
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Welcome to the GoLab Wind Energy Simulation. Take control of a wind farm to provide electricil energy to a small town. Understand how random changes - in wind speed and power requirement of the town - affect the use of this natural energy resource.
Knowing how many individuals are in a population can be critical. How can you tell how many there are when there are too many to count? This model simulates a pond of tadpoles. The population size can be estimated in three ways: direct sampling, sampling with removal, and mark/recapture.
Many animals are at risk of being eaten by other animals. Such an animal must balance food intake with predation risk. These models simulate Pulliam's (1973) vigilance model, which suggests that feeding in flocks is advantageous. Individual - Individual parameters can be adjusted.
This model simulates MacArthur & Wilson's 1963 Island Biogeography Equilibrium paper. You can run virtual experiments manipulating the following: island size, distance from mainland, habitat type, and species types (e.g. birds, arthropods, etc.).
Connell's 1961 classic competition experiment is modeled. You can explore the fundamental and realized niches of two species of barnacles, Chthamalus and Balanus. One species can grow at a wider range in depth but can be outcompeted, while the other species is limited to deeper rock.
In this lab, pupils can simulate the impact of an object (e.g., an asteroid) on the Earth, Moon or Mars. They can vary parameters such as the diameter, density and velocity of the projectile and see the characteristics of the resulting crater.
This model simulates foraging behavior of honeybees. It is designed to illustrate Charnov's (1976) Marginal Value Theorem, which predicts how long an animal should forage in a given patch. The user can modify environmental conditions and the time-per-flower for two different bees.
As the name suggests, this model simulates the foraging behavior of two predator species. Predators forage and gain energy from prey while using energy to move. The model tracks the mean and standard deviation in energy for each species.
The number of individuals in a population, or population size, is perhaps the most important thing to know about a population.