Empirical and process-based models predict enhanced beech growth in European mountains under climate change scenarios: A multimodel approach.

Process-based models and empirical modelling techniques are frequently used to (i) explore the sensitivity of tree growth to environmental variables, and (ii) predict the future growth of trees and forest stands under climate change scenarios. However, modelling approaches substantially influence predictions of the sensitivity of trees to environmental factors. Here, we used tree-ring width (TRW) data from 1630 beech trees from a network of 70 plots established across European mountains to build empirical predictive growth models using various modelling approaches.

Impact of an Extremely Dry Period on Tree Defoliation and Tree Mortality in Serbia.

This paper presents research results on forest decline in Serbia. The results were obtained through monitoring defoliation of 34 tree species at 130 sample plots during the period from 2004 to 2018. This research aimed to determine whether the occurrence of defoliation and tree mortality were caused by drought.

Differential effects of alcohol intoxication on S100B levels following traumatic brain injury.

Background: In an acute care setting, evaluation of traumatic brain injury (TBI) is often complicated by alcohol intoxication. The purpose of this study is to evaluate the clinical utility of the protein S100B as a biochemical marker for identifying brain injury in patients who are intoxicated at the time of injury.

Methods: The study participants were 160 patients who presented to a large urban Level I Trauma Centre in Vancouver, Canada.