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UFORE - The Concept USDA Homepage Forest Service Homepage

Setup

Data categories

UFORE field data falls into two distinct parts:

  1. Plot data - characterize the land use where the plot is and the type of ground cover and man-made objects covering the plot. This information is collected once for each plot and is not collected for inventories.
  2. Tree and shrub data – These data are collected until all trees and shrubs (optional) have been measured. UFORE requires that a set of basic measurements be made on each tree to obtain baseline results from the program.

If only species and DBH are collected, then only some structure and functions can be estimated by UFORE. Addition of height and crown characteristics allows UFORE to make projection of carbon storage and sequestration and air pollution removal. Careful selection of field data that will be collected is recommended, since collection of field data is one of the most time-consuming and costly parts of UFORE (Manual).

Methods

Set up for field data collection also includes selection of the method of data recording. UFORE currently has two methods of data recording:

  • Paper forms

    Field data collected on paper can be entered into UFORE via a data input program developed for the program (contact support ).

  • Electronic data recorders

    UFORE also has available electronic data collection programs for use in the field on Palm OS PDA's such as Palm's Pilots, Handspring's Visor, or any other similar handheld device. The programs (supplied with this application) were developed with Pendragon Software's Forms 3.2, and can be used for a project without the need to obtain the software or permission to use the data collection form. New data collection programs are being developed for Windows-based PDAs . Using electronic data collection form provided for UFORE not only leads to faster data collection and input, but these data will also load directly into UFORE for Windows for analysis.

Field data collection

Field data collection provides the necessary data to make estimates of the structure and function of the urban forest. Critical aspects of field data collection include:

Locating field plots

Field data collection crews typically locate field plots using street maps indicating plot location. Aerial photographs help pin down the plot center location. Plot center may fall in public land, private land, or on the border of different land ownerships and land-use types. Plot center may be permanently located by recording distance and direction from man-made features such as buildings, telephone or light poles, street corners, etc. A photo taken of plot center can help relocate the plot in the future. Permanent records of plot locations are important for assessing forest change (e.g., tree mortality).

Global Positioning System (GPS) units can also be used for locating plot centers if the unique coordinates of the plot center are known. But taking GPS readings can slow data collection if satellite communications are slow or temporarily unavailable, or if there is heavy canopy cover, which can potentially block communication signals from satellites. GPS units can also be expensive to rent or buy. They are best used where no man-made features are readily available to relocate plots.

Following the protocol

Because the accuracy of the results of a UFORE project depend upon quality data inputs, accurate field data collection is essential. Detailed criteria for each datum can be found in the Manual. This information can be loaded on a PDA to be taken into the field by using a program such as Dataviz's Documents-to-Go* or Adobe's Acrobat Reader* for Palm OS. The data collection crew will require careful training and oversight to ensure accurate data collection.

Quality control

In sampling projects, UFORE relies upon a relatively small amount of plot and field data to estimate or "scale-up" to the structure and functions of the whole urban forest of the area being sampled. Therefore, errors in field data collection can have significant impacts on the estimates obtained from UFORE as the errors are magnified in the final results.

To obtain the most reliable and accurate results from a UFORE project, it is recommended that a quality control system be used. Such a system normally examines two different areas:

  • Field measurements
    Checks on field data collection are made by re-sampling field plots after the data have been collected. Quality control should be conducted throughout a UFORE project, but is particularly important at the start of a project to ensure that all data collection personnel are trained and using consistent and accurate data collection methods (see Manual).

  • Data integrity and coherency
    Quality control is also useful after field data have been uploaded or entered into a personal computer. Data checks can find errors such as numbers that are out of range (e.g. stem diameters greater than normally encountered for a species), missing variables, or inappropriate measures (e.g., crown width = 0 for live trees)

       

* DISCLAIMER:
The use of trade, firm, or corporation names in this text is for information and convenience of the reader. Such does not constitute an official endorsement or approval by the United States Department of Agriculture or Forest Service of any product or service to the exclusion of others that may be suitable.




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