Sentence examples for death trees from inspiring English sources

National forests bustle with life, and a fair share of death — trees eaten by insects, scrub brush fried lifeless by the sun, old and diseased timber keeled over, awaiting lumberjacks and a date with a saw mill.

If selective cutting is the main operation mode so that there is little natural tree death (trees are cut before they die), the dominant factor will be the density of suitable trees to remove.

We assigned the five main IUCN risk levels to the tips of 100 100-species birth death trees (b = 0.1, d = 0.06), in the same proportion per level as mean for the birds and mammals of the world [12], [13]; see our Table 1.

We mapped the spatial distribution of sudden oak death tree mortality using a new object-based filter with 1.0 m resolution KOMPSAT-2 images.

Multiscale statistical analysis of environmental drivers of burn severity in diseased compared to healthy forests showed that sudden oak death tree mortality altered relationships between burn severity and the biophysical environment.

The likelihood of the RF distance was simulated with 10,000 random stochastic birth-death trees for n = 152 species using the phytools (version 0.3 93) [ 104].

We used SS sampling approach to calculate marginal likelihood scores for models with either a Yule or a Birth-Death tree prior (Supplementary Note S2).

However, generalized birth-death tree priors are under development.

A Birth-Death tree prior was used, which accounts for both speciation and extinction [ 110].

Trees were sampled from a Birth-Death tree-prior and following the GTR+G+I substitution model.

RLC chronogram of Xanthorrhoeaceae derived from sequences of rpb2 (nuclear DNA) using BEAST with a Birth-death tree model.