We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
We use MOEA optimisation to support decisions for #wildfire risk reduction (e.g., where should we use prescribed burning to reduce risk?). Optimisation improves fuel treatment plan effectiveness by 80–280% and adapts to changing objectives.
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
Originally “sparked” from a conversation between @sarahmccg.bsky.social , Luke Collins , @brian-j-harvey.bsky.social , Meg Krawchuk and I. besjournals.onlinelibrary.wiley.com/doi/10.1111/...
For a quicker read, check out this article which includes a super cute retro video game example 🌳🔥. pursuit.unimelb.edu.au/articles/vVi...
For a quicker read, check out this article which includes a super cute retro video game example 🌳🔥. pursuit.unimelb.edu.au/articles/vVi...
#ESAus2024 #ecology #conference
#ESAus2024 #ecology #conference
Yikes.
www.theage.com.au/politics/fed...
Yikes.
www.theage.com.au/politics/fed...
This work is looking at forest regeneration post Black Summer with a range of previous disturbances (fire 🔥 or harvesting 🪵) in low elevation mixed forests around East Gippsland.
This work is looking at forest regeneration post Black Summer with a range of previous disturbances (fire 🔥 or harvesting 🪵) in low elevation mixed forests around East Gippsland.