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Species’ traits and environmental conditions determine the abundance of tree species across the globe. Here, the authors find that dominant tree species are taller and have softer wood compared to rare species and that these trait differences are more strongly associated with temperature than water availability.

Analysis combining multiple global tree databases reveals that whether a ___location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

Trees come in all shapes and size, but what drives this incredible variation in tree form remains poorly understood. Using a global dataset, the authors show that a combination of climate, competition, disturbance and evolutionary history shape the crown architecture of the world’s trees and thereby constrain the 3D structure of woody ecosystems.

Wood density is a key control on tree biomass, and understanding its spatial variation improves estimates of forest carbon stock. Sullivan et al. measure >900 forest plots to quantify wood density and produce high resolution maps of its variation across South American tropical forests.

Wood density is an important plant trait. Data from 1.1 million forest inventory plots and 10,703 tree species show a latitudinal gradient in wood density, with temperature and soil moisture explaining variation at the global scale and disturbance also having a role at the local level.

Neotropical tree community composition shows opposing successional pathways for wet and dry forests, but as vegetation cover increases over time, trends converge. Selecting species that have similar wood density to early successional communities could improve reforestation prospects.

Application of a terrestrial biogeochemical model that simulates diverse forest communities suggests that plant trait diversity may enable the Amazon rainforest to adjust to new climate conditions via a process of ecological sorting.

Examining drivers of the latitudinal biodiversity gradient in a global database of local tree species richness, the authors show that co-limitation by multiple environmental and anthropogenic factors causes steeper increases in richness with latitude in tropical versus temperate and boreal zones.

Tree mortality has been shown to be the dominant control on carbon storage in Amazon forests, but little is known of how and why Amazon forest trees die. Here the authors analyse a large Amazon-wide dataset, finding that fast-growing species face greater mortality risk, but that slower-growing individuals within a species are more likely to die, regardless of size.

Data from millions of trees in thousands of locations are used to show that certain key traits affect competitive ability in predictable ways, and that there are trade-offs between traits that favour growth with and without competition.

Data from 42 chronosequence sites show a geater abundance of legumes in seasonally dry forests than in wet forests, particularly during early secondary succession, probably owing to legumes’ nitrogen-fixing ability and reduced leaflet size.

Inventory data from 90 lowland Amazonian forest plots and a phylogeny of 526 angiosperm genera were used to show that taxonomic and phylogenetic diversity are both predictive of wood productivity but not of biomass variation.

The Amazon rainforest is dominated by relatively few tree species, yet the degree to which this hyperdominance influences carbon cycling remains unknown. Here, the authors analyse 530 forest plots and show that ∼1% of species are responsible for 50% of the aboveground carbon storage and productivity.

An analysis of above-ground biomass recovery during secondary succession in forest sites and plots, covering the major environmental gradients in the Neotropics.

Alternative stable states in forests have implications for the biosphere. Here, the authors combine forest biodiversity observations and simulations revealing that leaf types across temperate regions of the NH follow a bimodal distribution suggesting signatures of alternative forest states.

Using 13 functional traits we characterize the Amazonian trees and the communities they form. Amazonian tree communities are distributed along a fast-slow-spectrum. This results in clear differences in traits among these forests, as well as their biomass and biomass productivity.

Optimal regeneration success in Amazonian forests is mapped by simple ecological indicators, providing reference values for measuring restoration success across successional stages based on a large compiled dataset on forest regeneration.

Fifty years of monthly observation of rainforest canopy trees in the Central Amazon reveals that drought, heat, storms and extreme rain can all increase tree mortality. Pioneers, softwoods and evergreen functional groups were particularly vulnerable.

A spatially explicit global map of tree symbioses with nitrogen-fixing bacteria and mycorrhizal fungi reveals that climate variables are the primary drivers of the distribution of different types of symbiosis.