ApexRMS Ecology

@apexrms.bsky.social

Ecological forecasting. Redefined. A team of scientists and software developers focused on increasing the accessibility of ecological models to decision makers. 🧪 reproducibility | 🔥wildfire | 🌲carbon | 🐛 conservation

🧪🌎Continuing our project page series: WISDM, the Workbench for Integrated Species Distribution Modeling, is an open-source #SyncroSim package that standardizes the SDM pipeline, from data prep to habitat suitability projections under climate change. Three recent projects:

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🌍🧪In applied science, trust isn't built on reputation. It's built on being able to see how a model works. At ApexRMS, we publish our source code because we think it's the only defensible way to do applied science.

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🌎🧪This past spring, ApexRMS joined Swan River First Nation in Kinuso, Alberta for a two-day workshop to help design a wildfire risk assessment tool for their community, bringing together local knowledge, land management priorities, and modeling expertise.

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🧪🌎Every fire season brings its own challenges, and right now northwestern Ontario is facing some difficult ones. Extreme heat has driven rapid fire growth, with over 125 active fires, multiple evacuation orders, and highway closures as crews work to respond.

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Why do we build ecological models in #SyncroSim instead of just writing scripts in R or Python? Short answer: we still write the models in R and Python. SyncroSim isn't a replacement for either language, it's the framework that makes them usable by more than the person who wrote the code.

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🌍️🧪We recently completed a province-wide ecological connectivity assessment for the Nova Scotia Department of Natural Resources, modeling how moose, black bear, American marten, snowshoe hare, and white-tailed deer move across more than 5.5 million hectares.

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🌍️🧪 WISDM v2.5.1 is out, now with full Linux support. WISDM is a free, open-source tool for building species distribution models (SDMs) to predict where a species is likely to occur based on environmental conditions. Built within #SyncroSim.

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🌍️🧪 13 million Canadians live in wildfire-prone areas, yet most decision-makers are still working with coarse, static risk data that can be years out of date. As a MaRS Adaptech Accelerator venture, ApexRMS is developing a Wildfire Hazard Solution, delivering credible, current wildfire intelligence.

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🧪🌎️ Canada's 2026 wildfire season is already demanding attention — 60+ active fires burning nationally, with BC under the highest sustained risk and elevated danger possible across northern and central Canada as conditions dry out this summer.

We recently wrapped up a habitat connectivity analysis with Swan River First Nation (SRFN) in northern Alberta, where rigorous science was informed by the community's deep knowledge of the land 🌎️🧪

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🧪🌎️We just wrapped up an incredible Wildfire Hazard Modeling training at York University 🔥 Participants got hands-on with BurnP3+ and #SyncroSim exploring cutting-edge tools for wildfire hazard modeling and landscape simulation.

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Protecting the planet starts with understanding it. 🌍🧪 At ApexRMS, we ask every day: what will our forests, wetlands, and wildlife look like in 5, 10, or even 500 years from now?

🌎️🧪Eradicating Asian long-horned beetle from southern Ontario meant removing thousands of trees. New modeling work with the Invasive Species Centre shows why that trade-off was worth it.

🌎️🧪 Aspen forests in Canada's prairies are declining — but some pockets could persist until the end of the century. We partnered with @Parks Canada to find out where they'll hold on longest.

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⏰ Two weeks left! Join us April 14–16 at York University (Toronto) for our hands-on wildfire hazard modeling with BurnP3+, the open-source #SyncroSim package built on decades of peer-reviewed fire science by the Canadian Forest Service. Zero experience required. 🌎️🧪

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Only a few days are left to apply for our new Wildfire Specialist Internship position! This is a 6-month opportunity to work on real wildfire hazard modeling using BurnP3+ and SyncroSim. Apply before March 31 here: apexrms.com/careers/ 📍 Remote (Canada) | 🗓️ Starts April 6 | 💰 $60K equivalent

🔥 We're hiring a Wildfire Specialist (6-month internship, remote in Canada)! Join a dedicated team translating complex wildfire science into real-world decisions for insurers, utilities & governments. Starts April 6 | $60K annual equivalent 🧪🌎️

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🧪🌎️ For the first time ever, our BurnP3+ course is coming to Eastern Canada. Join us April 14–16 at York University in Toronto, ON for 2.5 days of hands-on wildfire hazard modeling. Seats are still available, but not for long!

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Great ecological models don’t matter if decision-makers can’t use them 🌎️🧪 Ecological forecasting is advancing rapidly, but too often results never reach the people making real-world decisions.

#SyncroSim on Linux: ready for HPC & cloud workflows 🌎️🧪 While many users run SyncroSim Studio on Windows (or through R & Python), SyncroSim also runs natively on Linux via SyncroSim Console, no model changes required. Why run SyncroSim on Linux?

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Wildfire seasons are growing longer and more severe, raising questions about how we assess wildfire hazard across complex landscapes. Join us April 14 to 16 at York University (Toronto, Ontario) for a 2.5-day, hands-on BurnP3+ course in #SyncroSim, led by ApexRMS and Canadian Forest Service experts.

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ApexRMS at #INVASIVES2026 🧪🌍️ Our Systems Ecologist, Leonardo Frid, is speaking tomorrow at the INVASIVES 2026 Annual Forum & AGM on the growing ecological and economic impacts of invasive species in BC, and new work updating provincial cost estimates across invasive plants and animals.

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Next up in our ApexRMS project highlights: image classification 🧪 🌎️ Using the ecoClassify package within the #SyncroSim framework, we apply machine learning to extract actionable insights from remote sensing data for ecological monitoring, modeling, and planning. Our featured projects include...

Earlier this week, our team co-facilitated a workshop with Swan River First Nation (SRFN) in northern Alberta, focused on modeling habitat connectivity across SRFN’s traditional territory 🌎️🧪

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