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The authors conduct a national inventory on individual tree carbon stocks in Rwanda using aerial imagery and deep learning. Most mapped trees are located in farmlands; new methods allow partitioning to any landscape categories, effective planning and optimization of carbon sequestration and the economic benefits of trees.

The authors mapped the continental-scale fraction of age-dependent leaf area index and revealed a widespread increase in the fraction of photosynthetically efficient young leaves across the majority of Amazon rainforests over the past decades.

The Amazon faces worsening droughts, yet little is known about large-scale variation in the physiological limits of Amazon trees. Here, the authors reveal family-level conservatism in embolism resistance and estimate that Brazilian and Guiana shield forests are more resistant than Western Amazonia forests.

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.

A bookkeeping approach shows that disturbed tropical humid forests experienced net aboveground carbon loss during 1990–2020, primarily driven by small but persistent deforestation clearings owing to persistent land-use conversion without forest regrowth.

A global research network monitoring the Amazon for 30 years reports in this study that tree size increased by 3% each decade.

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.

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.

Inventory data from more than 1 million trees across African, Amazonian and Southeast Asian tropical forests suggests that, despite their high diversity, just 1,053 species, representing a consistent ~2.2% of tropical tree species in each region, constitute half of Earth’s 800 billion tropical trees.

Forest responses can have major effects on tree architecture and community structure near the edges of forest fragments. Here, using terrestrial LiDAR scanning data from long-term forest plots, the authors find a net negative effect of fragmentation on Amazonian Forest aboveground biomass.

Carbon sequestration by Siberian forests has been low over the past decade due to disturbances that have decreased live biomass and increased dead wood, according to passive microwave observations.

Drought, fires, and human activities have reversed the accumulation of live biomass carbon in the Northern Hemisphere, with total biomass shifting from a positive to a negative trend around 2016.

New high-resolution datasets for the Amazon forest show a loss of carbon in 2010-2020, with gains by forest growth outweighed by losses by deforestation and degradation. Human losses intensified over time, reinforcing the need for stronger policies.

Low-frequency vegetation optical depth (L-VOD) sensing reveals global patterns of seasonal variations in ecosystem-scale plant water storage and relationships with leaf phenology; results vary between tropical and temperate–boreal zones.

Analysing >1,700 inventory plots from the Amazon Tree Diversity Network, the authors show that the majority of Amazon tree species can occupy floodplains and that patterns of species turnover are closely linked to regional flood patterns.

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.

Data from a variety of sources—including satellite, climate and soil data, as well as field-collected information on plant traits—are pooled and analysed to map the functional diversity of tropical forest canopies globally.

Analysing data on the relative abundance of basal area of ectomycorrhizal trees from lowland tropical forests, the authors show that their distribution and abundance are independent of soil quality.

Two dominant gradients in tree composition and function across the Amazon reflect patterns of soil fertility and differences in the length of the dry season length. The dominance of legumes in the Guiana shield may be due to high seed mass and low rates of disturbance, rather than root adaptations to poor soils.

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.

Recent analyses have suggested that tree cover in non-forest ecosystems may be much higher than expected. Here, the authors map tree cover down to the individual tree level for the entire continent of Africa and find that almost 30% is found outside areas classified as forests.

A new method to quantify three masting components from individual tree-years has revealed that globally, masting is uncommon in tree species that depend on mutualist dispersers, with its distribution further mediated by climate and nutrient availability.

Most Amazon tree species are rare but a small proportion are common across the region. The authors show that different species are hyperdominant in different size classes and that hyperdominance is more phylogenetically restricted for larger canopy trees than for smaller understory ones.

Deep learning was used to map the crown sizes of each tree in the West African Sahara, Sahel and sub-humid zone using submetre-resolution satellite imagery, revealing a relatively high density of trees in arid areas.

Low-frequency passive microwave data (L-VOD) allow quantification of biomass change in sub-Saharan Africa between 2010 and 2016, revealing climate-induced carbon losses, particularly in drylands.

A study mapping the tree species richness in Amazonian forests shows that soil type exerts a strong effect on species richness, probably caused by the areas of these forest types. Cumulative water deficit, tree density and temperature seasonality affect species richness at a regional scale.

Over the past decade, agroforestry and restoration of degraded forests increased the number of trees and carbon stock in Rwanda; these measures have the potential to largely offset national carbon emissions by 2050, according to a carbon-stock analysis based on aerial and satellite images.

Quantifying forest degradation and biodiversity losses is necessary to inform conservation and restoration policies. Here the authors analyze a large dataset for the Atlantic Forest in South America to quantify losses in forest biomass and tree species richness, functional traits, and conservation value.

A species-level phylogenetic analysis of the high-elevation flora of the European Alps reveals that the flora is young and colonist rich. Its assembly was primarily driven by the Pleistocene climatic cycles, rather than ancient orogenic events.

The authors found that the key elements of plant form and function, analysed at global scale, are largely concentrated into a two-dimensional plane indexed by the size of whole plants and organs on the one hand, and the construction costs for photosynthetic leaf area, on the other.

Tropical carbon stocks are essential for proper accounting of global carbon budgets, but difficult to monitor on a large scale. L-band microwave observations used here enable direct and spatially explicit accounting of annual carbon fluxes from different types of land surface.

Analysis of changes in functional groups of species and potential drivers of environmental change for protected areas across the world’s major tropical regions reveals large variation between reserves that have been effective and those experiencing an erosion of biodiversity, and shows that environmental changes immediately outside reserves are nearly as important as those inside in determining their ecological fate.

Trees are crucial for Earth’s ecosystems, aiding in carbon absorption, climate regulation and biodiversity support. High-resolution satellite sensors and artificial intelligence enable detailed tree monitoring at national and continental levels, simplifying biomass assessment, national reporting and climate change mitigation efforts.

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.

Tree species turnover across Amazonian forests unveils sharp floristic transitional zones, that are linked with changes in soil fertility and climate.