In order to develop meaningful statistical control limits when applicable based upon the normal distribution, the mean and the standard deviation of a population must be known. In cases when an accurate approximation of the standard deviation is not known, the calculation of reasonable...

The current study presents a statistical model for assessing the skill of fire danger indices and for forecasting the distribution of the expected numbers of large fires over a given region and for the upcoming week. The procedure permits development of daily maps that forecast, for the...

We assessed the impact on the world forest sector of a progressive elimination of illegal logging. The analysis compared predictions from 2007 to 2020, with and without a gradual reduction of illegally logged industrial roundwood from 2007 to 2011. A large part of the curtailment of timber...

An international wheat trade model incorporating climate variability is used to simulate different scenarios when wheat producers in the USA, Canada, and Australia adopt El Niño/Southern Oscillation (ENSO)-based climate forecasts for use in production decisions. Adoption timing and rates are...

This paper presents a novel methodology for multi-scale and multi-type spatial data integration in support of insect pest risk/vulnerability assessment in the contiguous United States. Probability of gypsy moth (Lymantria dispar L.) establishment is used as a case study. A neural network...