Permanent Sample Plots (PSP)
Understand how the forest grows
Atlas PSP enables the forest manager to ensure reliable data is available about permanent sample plots (PSPs).
PSP are periodically assessed to record changes in growth over time and in relation to silviculture and other events. This information supports sound forest management, forest valuation, and silvicultural management. An intrinsic feature of this type of data is the length of the period over which it is collected, usually over many years.
By using a traditional relational database with scope for recording a wide range of attributes, ATLAS PSP is designed to minimise the effects of changes in staff and computer systems over time. The PSP application is based on a system that was initiated in the 1970′s and the PSP installation at Scion now includes over 190,000 records of plot measurements for over 100 species.
|Accurate data collection||Comprehensive error checking, configurable to specific species and age attributes.|
|Complete data sets||In-field warnings for missing data and notification of heights required; comprehensive error reports when updating the database.|
|Wide range of variables||Site, Plot, and Measurement information; various measures of height and diameter; summary results are stored and can be queried|
|User-definable fields||All entities support user-defined fields.|
|Comments fields||There is generous scope for recording textual comments.|
|Graphing||Graphs can be generated to monitor changes in an attribute over time, to compare a selection of plots, and to display distributions of attributes (eg DBH) within plots|
|Partial plot measurements||A subset of trees within plots can be measured such as the height of trees or stems affected by a particular condition.|
|Convenient standard reports||There is a range of reports that publish plot data at differing levels of detail.|
|Powerful extraction tools||Query tools e.g. to provide lists of plots that meet query conditions. Summary data can be queried. Extraction options include SQL.|