As remote sensing data and methods have become increasingly complex and varied-and
increasingly reliable-so have their uses in forest management. New algorithms have been …

Individual-based forest ecology and management, where the focus is on individual plants in
the context of their populations, draws on a large body of different quantitative methods that …

Over the past decade, hyperspectral remote sensing as a rapid, non-destructive technique
for vegetation assessment has contribution considerably to the efficacy of remote sensing …

Aim To improve our understanding of species range limits by studying how height growth, a
trait related to plant survival, varies throughout the geographic range of Fagus sylvatica L. in …

With expanded interests in sustaining productivity under changing climate, management,
and disturbance regimes, we sought a means of mapping the potential productivity of forests …

Spatially explicit mapping of forest productivity is important to assess many forest
management alternatives. We assessed the relationship between mapped variables and …

The prediction of the diameter distribution of a stand is of great interest to forest managers
for the evaluation of forest resources and scheduling the future silvicultural treatments. In the …

Research Highlights: Modelling species' distribution and productivity is key to support
integrated landscape planning, species' afforestation, and sustainable forest management …

Three spatially-explicit wetland models were developed in a geographic information system
(GIS) to simulate wetland vegetation response to water-level fluctuations at the Long Point …

We investigated how multiple-crop forestry has influenced the magnitude and variability of
soil and plant phosphorus (P) fertility and site disturbance. Kinleith Forest, on Mamaku …