Large numbers of metallic starlings (Aplonis metallica) migrate annually from New Guinea to the rainforests of tropical Australia, where they nest communally in single emergent trees (up to 1,000 birds). These aggregations create dense and species-rich faunal "hot-spots", attracting a diverse assemblage of local consumers that utilise this seasonal resource. The starlings nested primarily in po...

We introduce regenerative tree growth processes as consistent families of random trees with n labelled leaves, n ≥ 1, with a regenerative property at branch points. We establish necessary and sufficient conditions on the growth rules under which we can apply results by Haas and Miermont to establish self-similar random trees and residual mass processes as scaling limits. This framework includes...

The negative influence of timber harvesting on the forest environment is reflected through damage to residual trees, regeneration, and soil. Considering that skidding, a popular extraction method, can cause substantial severe remaining stand, aim this research was determine trees during skidding by an LKT 81T cable skidder, including oxen bunching. conducted in eastern Bosnia Herzegovina, uneve...

A large-scale pruning study was established in the winter of 1999 to2000 at seven different sites on Green Diamond Resource Company forestlands in Humboldt County. The objective of this study was to determine the effects of pruning on increment, epicormic sprouting, stem taper, heartwood formation, and bear damage on these young trees. Pruning treatments varied pruning severity and were usually...

Nitrogen is one of the most important nutrients for plant growth and a major constituent of proteins that regulate photosynthetic and respiratory processes. However, a comprehensive global analysis of nitrogen allocation in leaves for major processes with respect to different plant functional types (PFTs) is currently lacking. This study integrated observations from global databases with photos...

Additive regression trees are flexible nonparametric models and popular off-the-shelf tools for real-world non-linear regression. In application domains, such as bioinformatics, where there is also demand for probabilistic predictions with measures of uncertainty, the Bayesian additive regression trees (BART) model, introduced by Chipman et al. (2010), is increasingly popular. As data sets have...