FLGgenet

FLGgenet is a predictive modeling system used to analyze and forecast the likelihood of species extinction. The name FLGgenet is an acronym, with each letter standing for the first word in the parent organization: Fish, Larva, and Genetic. It was originally developed by the University of California, Los Angeles and is now used globally by researchers, scientists and conservationists.

FLGgenet's primary function is to analyze large amounts of data from various sources, including satellite images, habitat modeling, and genetic information. This data is used to create predictive models that simulate different scenarios, allowing researchers to understand the likely impact on a species' population if a particular environmental factor changes or if a species is subject to different conservation efforts.

The system takes into account various factors such as climate change, urban development, and pollution, which can contribute to a decline in a species' population. FLGgenet also considers the spread of diseases and genetic exchange between species, which can impact a species' likelihood of extinction.

The system's results are highly accurate, with a margin of error of less than 5%. FLGgenet has been used in various conservation efforts, including preventing the extinction of species such as the vaquita, the Javan rhinoceros, and the Amur leopard. Researchers have praised the system's ability to provide a more accurate understanding of the likelihood of species extinction, which can inform more effective conservation strategies. FLGgenet continues to be an essential tool in the fight against species extinction and loss of biodiversity around the world.