Editor's note
Bucking data becomes rot data.
That's what Skogforsk showed this month. No new sensors, no new sampling campaigns. Just 13.7 million stems' worth of production data that harvesters were already recording, aggregated and pointed at a different question. The rot map that came out of it is more detailed than anything a traditional survey could have delivered at that scale.
I keep coming back to this pattern. The expensive part of forest data collection is mostly behind us. The machines are already measuring. The satellites are already passing. The value now sits in what you decide to do with data that is already flowing.
Axel
WHAT GOT ME THINKING
Skogforsk Maps Root Rot Across Sweden Using Harvester Data from 13.7 Million Spruces
Skogforsk analysed harvester production data from 13.7 million final-felled Norway spruces, totalling 5.8 million m³, to produce the most detailed national picture of root rot distribution to date. On average, 19% of timber-dimension spruces showed rot damage, but regional variation is stark: 10% in Northern Norrland, 23% in Svealand and Götaland.
Axel's notes: What makes this study stand out is how it was mapped. Harvester operators already record rot damage during bucking as part of standard production data. Skogforsk took that existing flow, aggregated it across 13.7 million stems, and produced a national analysis that would have been prohibitively expensive through field sampling.
That's what the StanForD protocol makes possible. Every machine speaks the same language. Aggregate across thousands of operations and the dataset becomes something no single forest owner could build alone.
Root rot costs the Swedish forestry sector hundreds of millions of kronor annually. Knowing where it concentrates, at this level of detail, gives planners a better basis for where to plant spruce and where to diversify. And the same logic applies to any variable a harvester detects at the stem level: diameter distributions, species mix, wood density. The infrastructure is already running.
Komatsu Acquires Malwa Forest to Enter the Lightweight Thinning Segment
Komatsu Forest has completed its acquisition of Malwa Forest AB, a Hyssna-based Swedish manufacturer of lightweight harvesters and forwarders for thinning. The deal fills a gap: Komatsu had no compact CTL machines in its lineup. The strategic logic ties to changing Nordic conditions, where longer soft-ground seasons drive demand for low-impact thinning equipment. Komatsu plans to scale Malwa through its global network.
Canadian Researchers Use Airborne LiDAR to Map Ecologically Important Large Trees
Researchers at the Canadian Forest Service have published a method for identifying large trees across extensive forest landscapes using existing airborne LiDAR inventory data. The study targets a conservation gap: large old trees are critical for biodiversity, but standard inventories often miss their distribution at scale. By linking LiDAR-derived height and diameter estimates to ecological thresholds, routine inventory flights become a conservation mapping tool.
Mast Reforestation Delivers First Biomass Burial Carbon Credits to Royal Bank of Canada
Seattle-based Mast Reforestation has delivered more than 80% of the removal credits from its MT1 project in Montana, where over 10 million pounds of wildfire-killed trees were buried in an engineered underground chamber. Puro.earth certified 4,277 credits, the largest issuance under its biomass storage methodology. Buyers include Royal Bank of Canada, CNaught, and Muir AI. Mast plans native-conifer reforestation on the site in spring 2026 and is expanding its burial pipeline.