Forestry 2024, 97(4) : e-only

Oxford

2024

e-journal

40005115

Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models; A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning; Development and implementation of a stand-level satellite-based forest inventory for Canada; Growth and quality of 16-year-old sessile oak (Quercus petraea (Matt.) Liebl.) planted in traditional and alternative row planting patterns; The effects of arginine phosphate (ArGrow® Granulat) on growth of Scots pine and Norway spruce seedlings planted in varying soil layer structures simulating site preparation; When economically optimal is ecologically complicated: modeling tree-by-tree cutting decisions to maximize financial returns from northern hardwood stands; Comparing the effects of ground cultivation and protection against browsing upon the natural regeneration of Scots pine and birch in a Caledonian pinewood; More water, less light: how to improve silver fir seeding to convert Norway spruce monocultures into mixed stands in a drier region of Germany; Modeling basal area yield using simultaneous equation systems incorporating uncertainty estimators; Height increment patterns in Pinus pinaster seedlings emerging in naturally regenerated gaps; A bootstrap-based approach to combine individual-based forest growth models and remotely sensed data.