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Growing Cyberforests To Help Predict Climate Change
In Science by Robert, July 10, 2016

Mother Nature needs hundreds of years to grow a forest, therefore it can be difficult to assess how forests will be affected by climate change in the long term. To address that problem, researchers at Washington State University Vancouver have created the world’s first computer simulation capable of growing realistic forests, using the model to predict how things like frequent wildfires or drought might impact forests across North America.

The new computer simulation allows scientists to grow a virtual forest over the period of a few weeks. Known as LES (after the Russian word for forest), the system simulates the growth of 100 x 100 m (330 x 330 ft) areas of vegetation, that are then scaled up to simulate entire forests. It’s more complex than any previous systems, simulating both canopy structures and intricate root systems for each tree. Each leaf competes for sunlight, while beneath the virtual earth, the organisms’ roots compete for water resources.

Growing Cyberforests To Help Predict Climate Change

“Images on the right represent real trees while those on the left were were made using imaging data collected by aerial drones and the LES forest simulator” Photo credit: Washington State University

In order to ensure that the model accurately represents real-life forests, the researchers turned to the US Department of Agriculture’s Forest Inventory and Analysis program, as well as other forestry databases. They also worked with the US Forest Service to fly drones over and around forests, imaging them to gather further information and develop 3D models, allowing for more accurate vegetation and tree distribution.

In future drier conditions, trees might not be able to re-establish themselves after wildfires

The team believes that LES could greatly improve our understanding of exactly how climate change is effecting forests, and how those changes will evolve over time. The researchers hope that the system will allow forest managers to determine the species of trees, as well as ecological factors, that are central to forests re-establishing themselves after being disturbed by events such as wildfires.

“The fear is that drier conditions in the future will prevent forests in places like Washington from re-establishing themselves after a clear-cut or wildfire,” said Washington State University’s Nikolay Strigul. “This could lead to increasing amounts of once-forested areas converted to desert. Our model can help predict if forests are at risk of desertification or other climate change-related processes and identift what can be done to conserve these systems.”

H/T to gizmag

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