- Artificial intelligence (AI) stock AISIX Solutions (TSXV:AISX) released a report identifying the top 10 small Ontario municipalities at risk of wildfires
- Based on historical conditions, the Vancouver-based firm also delivered its top 10 municipalities with the highest increase in wildfire probability by 2050 under the fifth Shared Socioeconomic Pathway (SSP5) climate change scenario
- While the highest burn probabilities are concentrated in Western Ontario, the most significant increase in wildfire probability by 2050 is expected in the southeastern part of the province
- AISIX stock (TSXV:AISX) last traded at $0.04
Artificial intelligence (AI) stock AISIX Solutions (TSXV:AISX) released a report identifying the top 10 small Ontario municipalities at risk of wildfires.
Based on historical conditions, the Vancouver-based firm also delivered its top 10 municipalities with the highest increase in wildfire probability by 2050 under the fifth Shared Socioeconomic Pathway (SSP5) climate change scenario.
Top 10 small Ontario municipalities at risk of wildfires (historical conditions):
- Red Lake
- Sioux Lookout
- Kirkland Lake
- Greenstone
- Markstay
- Chapleau
- Carling
- Kenora
- Cobalt
- Espanola
Top 10 small Ontario municipalities with highest increase in wildfire probability by 2050 (SSP5 scenario):
- Assiginack
- South River
- Huron Shores
- Trent Lakes
- Central Manitoulin
- Elliot Lake
- North Kawartha
- Gravenhurst
- Carling
- McDougall
AISIX’s wildfire data can identify high-risk areas by analyzing historical wildfire behavior and projecting future patterns shaped by climate change. This analysis uses advanced machine learning, physical-based modeling, and climate change projections to pinpoint locations facing the highest wildfire probability. The data workflow includes the application of Cell2Fire2, an advancement of BurnP3+, simulating wildfire behavior at a country scale according to historic and projected climate patterns.
The analysis reveals long-term trends rather than year-to-year specific conditions, highlighting burn probability hotspots in Western Ontario. While the highest burn probabilities are concentrated in Western Ontario, the most significant increase in wildfire probability by 2050 is expected in the southeastern part of the province.
Leadership insights
“In this AISIX analysis, we observe higher burn probabilities primarily due to climate change, which extends fire seasons through rising temperatures and drier fuel conditions,” Dr. Gio Roberti, head of product at AISIX, said in a news release. “AISIX’s wildfire data provides unique insights into fire behavior, enabling users to grasp both current and future fire trends.”
Call to action
Wildfires are becoming a growing reality for small Ontario municipalities. AISIX Solutions has identified the communities most at risk today and those that will face the greatest wildfire threats by 2050.
Are you prepared?
- Identify your risk: Access AI-powered wildfire data to understand your community’s vulnerability.
- Plan for resilience: Use predictive analytics to strengthen fire prevention, emergency response, and land-use planning.
- Protect lives and property: Take proactive measures before disaster strikes.
About AISIX Solutions
AISIX Solutions helps people, businesses and governments around the world analyze, manage and mitigate climate-related risks.
AISIX stock (TSXV:AISX) last traded at $0.04 and has risen 60 per cent over the past three months, 100 per cent since the year began.
Join the discussion: Find out what everybody’s saying about this wildfire-focused AI stock on the AISIX Solutions Inc. Bullboard and check out the rest of Stockhouse’s stock forums and message boards.
The material provided in this article is for information only and should not be treated as investment advice. For full disclaimer information, please click here.
(Top photo: Map of Canada showing wildfire burn probabilities (yellow to red colours), and the top ten small Ontario municipalities at risk of wildfires given historical conditions and with highest increase in wildfire probability given Share Socioeconomic Pathways (SSP) 5 climate change scenarios by 2050. Source: AISIX Solutions Inc.)
