Rocky Mountain Research Station

Biomass inventory optimization for willow-based pellet production integrating seasonal supply and stochastic demand

Biomass supply chains face both internal challenges (low energy density, bulkiness, seasonality) and external challenges (market uncertainty). We developed a two-stage stochastic mixed-integer linear programming (MILP) model that configures an (s, S) inventory control policy for...

Building global range maps for terrestrial insects with species range kernels and modeled aggregations of georeferenced records

Range maps for most terrestrial invertebrates generally are not accessible as spatial data. My objective was to build global range maps for 11,844 terrestrial insect species, specifically pollinator species with at least 400 georeferenced records each, by applying species range k...

An interpretable remote sensing–machine learning framework for wildfire soil burn severity prediction in the northwestern United States

Background Although soil burn severity (SBS) is traditionally mapped post-fire, pre-fire predictive approaches remain limited despite their potential to identify areas at risk of soil degradation, runoff and erosion. Aim To develop a large-scale model for predicting post-fire SBS...