Canopy closure altered biomass allocation in young spruce stand

‌‌‌‌‌Recourse Allocation in Young and Elderly Adults

Objectives: The role of cognitive process for postural control was shown in dual task studies. However, there was no definite evidence how verbal instructions influence the allocation of attention to postural control. This study determined whether young and elderly adult are able to deliberately control the resource allocation when performing a sensorimotor and cognitive task simultaneously and...

Fine root biomass in relation to site and stand characteristics in Norway spruce and Scots pine stands.

Variations in fine root biomass of trees and understory in 16 stands throughout Finland were examined and relationships to site and stand characteristics determined. Norway spruce fine root biomass varied between 184 and 370 g m(-2), and that of Scots pine ranged between 149 and 386 g m(-2). In northern Finland, understory roots and rhizomes (< 2 mm diameter) accounted for up to 50% of the stan...

Stand Density Effects on Biomass Allocation Patterns and Subsequent Soil Nitrogen Demand

Growth and yield data from a loblolly pine plantation in southeastern Louisiana were obtained yearly from 1993 to 1996 on numbered trees within two stands initially planted on a by spacing, and two stands planted on a by spacing. Using allometric equations derived from a 1994 on-site destructive harvest, cited nitrogen concentrations of various tree tissues, and accounting for foliar nitrogen r...

The canopy surface and stand development: assessing forest canopy structure and complexity with near-surface altimetry

A first-return laser rangefinder deployed from a low-flying helicopter provided inexpensive, repeatable, and high-resolution measurements of the shape of the outer forest canopy in stands of four successional stages on the Maryland coastal plain. The traces of canopy height in these stands revealed structural characteristics such as cover, maximum and mean heights which were consistent with cor...

Biomass Prediction in Tropical Forests: The Canopy Grain Approach