Increment-drain forecast for a large forest area

The development of a simple basal area increment model

In most cases forest practice in Austria use yield tables to predict the growth of their forests. Common yield tables show the increment of pure even-aged stands which are treated in a way the table developer recommends. The usage of these tables in stands which are either unevenaged, mixed or treated in another way, may lead to inaccurate predictions. To avoid these problems, forest growth mod...

Terminal Area Forecast Modernization (TAF-M) Methodology

Providing A Model for Management Earnings Forecast Bias

Despite The Important Role That Management Profit Forecasting Plays In The Decision Making Of Capital Market Actors, These Predictions Appear To Be Biased. In The Attempt To Measure The Bias Of Predicting Profit Management, Numerous One- Dimensional Measurement Tools Have Been Proposed In The Accounting And Finance Literature. Despite These Efforts, No Comprehensive Composite Index Has Been Dev...

A Basal Area Increment-Based Approach of Site Productivity Evaluation for Multi-Aged and Mixed Forests

Accurate estimates of forest site productivity are essential for environmental planning and forest management. In this study, we developed a new productivity index, hereafter termed basal area potential productivity index (BAPP), to estimate site productivity for irregular and complex forests characterized by multi-aged, multi-species, and multi-layer stands. We presented the biological relevan...

Creation of Large Area Forest Biomass Maps for Northeast China Using Ers-1/2 Tandem Coherence

One of the objectives of the Forest DRAGON project is the generation of a forest biomass map for Northeast China based on ERS-1/2 tandem coherence. The ERS1/2 tandem dataset consisted of 223 image pairs acquired in all seasons between 1995 and 1998. ERS1/2 tandem coherence has been shown to provide accurate estimates of forest biomass but is also known to depend strongly on the meteorological a...