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Why We Chose Structured Generation for Hands-Free Tree Risk Assessments
Tree risk assessments don’t happen at a desk. They happen outside. In the rain. On uneven ground. Sometimes wearing gloves. Typing notes into a phone or navigating dropdown-heavy forms isn’t just annoying — it slows the work down and breaks focus. Paper notes aren’t much better when it’s wet or windy.
Roger Erismann
Feb 64 min read


Targets in the ISA Tree Risk Assessment Qualification
Notes from ISA study session Within the ISA Tree Risk Assessment Qualification (TRAQ 3.0) methodology, overall tree risk is evaluated as a function of four interacting components: Target, Likelihood of Failure, Likelihood of Impact, and Consequences . Collectively, these elements determine the probability and severity of harm associated with a tree or tree part failure. The session summarized here focused primarily on the Target component and the factors that influence targe
Roger Erismann
Jan 243 min read


Characteristics Used in Tree Identification
Accurate tree identification relies heavily on vegetative characteristics, particularly when reproductive structures such as flowers or fruits are absent. Bud arrangement, twig anatomy, leaf morphology, and growth form provide reliable diagnostic features that remain visible for much of the year. Understanding how these traits vary among angiosperms allows for systematic identification across seasons and habitats.
Roger Erismann
Jan 203 min read


Soil Charge, Organic Matter, and Cation Exchange
Notes from ISA exam study session
Soils function as chemically active systems largely because soil particles carry electrical charges. Clay minerals and organic matter possess a net negative charge, which allows them to attract and temporarily retain positively charged nutrient ions. This property underlies cation exchange capacity, the soil’s ability to hold and exchange nutrient cations such as calcium (Ca²⁺), magnesium (Mg²⁺), potassium (K⁺), ammonium (NH₄⁺), iron (Fe
Roger Erismann
Jan 204 min read
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