Tools for Assessing and Managing
Community Forests
 
   
Applications
   

i-Tree Eco

Performing a complete inventory

ecoEco users interested in conducting a complete inventory are encouraged to use the integrated PDA utility for Pocket PCs. Users will be able to tailor data collection for the particular needs of their projects or use the default data collection fields for speed and full utilization of Eco’s analysis and reporting features. Using the PDA utility not only leads to faster data collection and input, but facilitates direct data transfer. Eco users can also choose to use field data collection forms for paper and pencil inventories which can then be manually entered into the application.

Field data inputs & results

The data needs for an Eco inventory project are straightforward as plots are not required (see the Manual for details). For complete inventories, Eco field data is collected on trees only until every tree in the study area has been measured. Therefore, Eco inventory project results will not be as extensive as a sample inventory project and results will be reported for individual trees and summarized for the entire study population. Inventory results will provide structural analysis, carbon sequestration and carbon storage, CTLA tree value, annual pollution removal and annual biogenic volatile organic compound release.

Eco requires that a basic set of measurements be made on each tree to obtain baseline results from the program. Minimally, species and DBH, along with height and crown characteristics are collected to receive information on individual tree structure, carbon storage and sequestration and air pollution removal. Because the collection of field data is one of the most time-consuming and costly parts of the Eco analysis process, careful selection of field data attributes is recommended (see the Manual for details).

Weather and pollutant concentration inputs

In addition to field data inputs, location specific weather and air pollution inputs are required. These data are available for the United States for the year 2000 and used, by default, in the analysis.

Hourly weather data are necessary to analyze:

  • volatile organic compound emissions
  • air pollution removal by the urban forest
  • relative ranking of species effects on air quality
  • tree transpiration
  • Air pollution data

Hourly pollution concentration data are required to analyze:

  • air pollution removal by the urban forest
  • relative ranking of species effects on air quality

Boundary layer data

  • Twice daily sounding measurements are needed to calculate percent air quality improvement due to pollution removal.