Stand Analysis
LandMark’s quantitative and qualitative approach to stand analysis can be used to regulate species composition, stand structure and forest site through silvicultural treatment.
LandMark uses the following to determine species composition:
- Product and Diameter Distribution
- Height and Age Class
LandMark uses the following to determine stand structure:
- Stage of stand development
- Stand Density measured in trees and basal area per acre
- Stocking Level measured in volume per acre
- Diameter distribution form
LandMark uses the following to determine forest site:
- Place in succession
- Species suitability in terms of regeneration potential & growth
- Productivity in terms of volume by product and grade
TreEcon
TreEcon is designed to be a part of the collection of programs that constitute a Resource Decision Support (RDS) System; however it is also used extensively as a standalone program. The LandMark Forestry Economic Analysis module allows complex analytical review of planned or completed projects consisting of a number of activities, each being either a cost or revenue generating transaction. The results of these activities are evaluated with standard analytical computations; reports are concise and contain the measures of project performance sought after by upper levels of managers and decision-makers.
The objective of this program, based upon the 1984 version 2.0PC of Quick-Silver, is to establish the fundamentals for better, clearer communication between forest practitioners and financial managers. In addition, it is hoped that as methods of evaluation are better understood, that alternative projects can be evaluated and either justified or discarded with a proper amount of economic consideration.
Soil/Site Pro
This is a process that Landmark Systems has perfected through years of experience over millions of acres. Simply put, it is the classification system used as a basis for stratification of soils through soil physical properties, topographical attributes, various treatments, and productive capacities for given species. Thus, this gives us a greater understanding and ability to model how the forest will change over time given various regimes and management constraints through a more precise growth and yield modeling process.
This classification system is based upon research conducted by the USDA Natural Resource Conservation Service (NRCS) and the Cooperative Research in Forest Fertilization (CRIFF) program at the University of Florida among others.
Rolling Inventory
LandMark's Rolling Inventory method relies on the use of successive temporary sampling to validate the projection of an original inventory. Using GIS to keep track of changes in stratum acreage (numerically and spatially), and a growth model specific to the forest types involved, a small sample of temporary plots can be used to validate the original sample projections and focus on portions of the forest, if desired. Generation of statistical data to evaluate the reliability of the comparison between the projected sample and the smaller, Rolling sample is an essential component of this system. The effects on samples are reported in clear, concise form.
Four Components of the Rolling Inventory System:
- Inventory Data Accumulator
- Allows direct transfer of inventory field data from RTO data recorder files into the Rolling Inventory Database.
- Growth Processor
- Used to bring past inventory data up to date for comparison with current samples and to construct an estimate of the current standing inventory. The process resembles a stand table projection, but on an individual plot basis. Mortality is taken into account by applying a survival probability function to the initial trees based on species, tree size and stand density.
- Growth Projector
- Allows short-term, forest-wide projections of inventory data and produces a future standing inventory report.
- Sample Comparator
- In addition to bringing all past inventory data up to date, this component performs a series of statistical comparisons on the data and reports the probability level at which the total average volumes (by ownership, forest type group, stratum, product and species) are significantly different.
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