Using the optimization potential of Remsoft Woodstock, the Australian Capital Territory Parks and Conservation Service (ACT PCS) developed improved prescribed burn programs for their 10-year Regional Fire Management Plan.
By optimizing your forest and road assets within the same model, you can easily weigh the benefits of reducing transportation costs – and increasing the net value of your wood – against the capital cost of investing in road infrastructure.
With a changing climate comes the need for changing forest management strategies. Researchers at University College Dublin are exploring what climate change means for future forest management.
Using GIS and optimization analytics, the Washington State Department of Natural Resources was able to earn more money in the short term and create a more suitable northern spotted owl habitat in the long term.
As more technologies are adopted across the industry, connectivity is becoming increasingly important. Improved transparency and collaboration in the forest planning process are helping to increase efficiency and accuracy.
Latvia’s State Forests, a European forest association, modeled their entire, complex supply chain to gain deeper financial insight and information that allowed them to make more informed and better contract negotiations.
Coillte introduced collaborative technology to their field foresters to demonstrate the feasibility of their strategic model results. They operationalized scheduling for a large and scattered land base by creating a spatially coherent, tactical-level harvest plan from their long-term schedule.
Supporting every aspect of timberland ownership, F&W Forestry Services used Remsoft technology to manage over two million acres in six countries, running optimization across ownerships in the United States, Brazil, Uruguay, and other areas of the world.
Reversing the effects of climate change will take a whole-of-society approach and forestry sector companies have a key role to play.
Get our brief with articles on using analytics, AI and business intelligence for forest management planning.