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Articles by Kalle Vanhatalo
Category : Research article
article id 100,
category
Research article
(2011).
Sensitivity of harvest decisions to errors in stand characteristics.
Silva Fennica
vol.
45
no.
4
article id 100.
https://doi.org/10.14214/sf.100
Keywords:
forest planning;
inventory;
measurement errors;
decision making;
logistic regression;
regression tree
Abstract |
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Author Info
In forest planning, the decision maker chooses for each stand a treatment schedule for a predefined planning period. The choice is based either on optimization calculations or on silvicultural guidelines. Schedules for individual stands are obtained using a growth simulator, where measured stand characteristics such as the basal area, mean diameter, site class and mean height are used as input variables. These characteristics include errors, however, which may lead to incorrect decisions. In this study, the aim is to study the sensitivity of harvest decisions to errors in a dataset of 157 stands. Correct schedules according to silvicultural guidelines were first determined using error-free data. Different amounts of errors were then generated to the stand-specific characteristics, and the treatment schedule was selected again using the erroneous data. The decision was defined as correct, if the type of harvest in these two schedules were similar, and if the timings deviated at maximum ±2 for thinning and ±3 years for clear-cut. The dependency of probability of correct decisions on stand characteristics and the degree of errors was then modelled. The proposed model can be used to determine the required level of measurement accuracy for each characteristics in different kinds of stands, with a given accuracy requirement for the timing of treatments. This information can further be utilized in selecting the most appropriate inventory method.
-
Kangas,
Department of Forest Sciences, P.O. Box 27, FI-00014 University of Helsinki, Finland
E-mail:
annika.kangas@helsinki.fi
- Mehtätalo, University of Eastern Finland, School of Forest Sciences, Joensuu, Finland E-mail: lm@nn.fi
- Mäkinen, Simosol Oy, Riihimäki, Finland E-mail: am@nn.fi
- Vanhatalo, Department of Forest Sciences, P.O. Box 27, FI-00014 University of Helsinki, Finland E-mail: kv@nn.fi
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