national, or international standards, such as the latest version of ISA Best Management Practices – Tree Inven- tories and the Institute of Asset Man- agement’s Asset Management – An Anatomy . Methodologies that follow standardized structures or conventions ensures con- sistency and clarity among staff, con- tractors, and future users of the inven- tory. For example, condition ratings for trees should be assigned using clearly defined language, criteria, and a stan- dardized rating scale to ensure consis- tency, objectivity, and comparability. This could be in the form of a percent- age-based system, a numeric-based sys- tem, or a terminology-based system sim- ilar to tree appraisal condition ratings for landscape trees . Similarly, mainte- nance work should be classified using a defined quantitative scale where ratings reflect the type and priority of corrective action, enabling more effective planning of operational tasks. Create Data Fields Standardized data fields help capture a snapshot of the tree’s attributes for a con- sistent and meaningful analysis. But be- fore collecting any data, it is important to create data fields in your software that are relevant to urban forestry operations. An inventory schema should include struc- tured classifications such as domains, field types, and coded values with data parameters and predefined lists to reduce human error and improve accuracy. Common examples of data fields for tree inventories: •GPS coordinates, recorded as close as possible to the trunk’s center •Location, including a name or de- scription of the area •Species, with common and scientif- ic names •Diameter at standard height (DSH), measured 4.5’ aboveground for urban trees in North America •Condition ratings for health, struc- ture, and vitality
GIS software transforms the urban forest into a dynamic, living map that highlights canopy distribution, species diversity, and areas of emerging need.
•Risk ratings based on likelihood of failure and impact with conse- quences of failure •Maintenance records, which may include work priority numbers •Site characteristics, including sun/ wind exposure, soil volume, or utility conflicts •Images of trees or site conditions •Comments section to note other observations Prioritize Training, Safety, & Efficiency Accurate tree inventory data depends on well-trained field crews and safe, efficient field operations. Before head- ing out into the field, technicians should be trained or refreshed on tree Not all inventory data has to be made publicly available. For example, the general public may be interested in knowing the location, species, diameter, and estimated age of a tree but may not need to know the tree's condition or risk rating, maintenance history, or economic value. These attributes would be intended for internal purposes only. Branch Manager Tip
inventory standards, species identifi- cation, condition/health assessments, measuring tools and techniques, data collection tools and methods, and quality assurance/quality control (QA/QC) procedures. This knowledge comes in handy when ground-truthing remote-sensed data from geograph- ic information systems (GIS) or light detection and ranging (LiDAR) where spatial discrepancies can occur. Since tree inventory activities often take place near traffic, construction zones, utilities, and unpredictable weather conditions, urban foresters must ensure that safety protocols are followed through proper person- al protective equipment (PPE), safe- ty training, job hazard assessments, and proper access to right-of-way (ROW) or private property. Safe and efficient work planning also involves routing crews by grid, neighborhood, or street to save travel time, increase efficiency, and improve productivity. Get a headstart on the inventory by collecting data on conifers and evergreen species in the winter. Deciduous trees can be counted more effectively when in full leaf over the late spring, summer, and early fall. Branch Manager Tip
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