Articlenpj biodiversity2026
Mapping and revealing the tree biodiversity of the Brazilian Cerrado through biome-wide sampling efforts.
Article in npj biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biodiversity is essential for maintaining ecosystem functionality, ensuring food security, regulating climate, and sustaining human well-being. Yet, in neglected biomes, biodiversity is often lost before many species can even be identified or studied. In Brazil, the Cerrado stands out as the most flora diverse savanna on the planet, but it remains critically underexplored. To address this gap, the National Forest Inventory (IFN) carried out an unprecedented, systematic sampling across the Brazilian Cerrado. Using 1803 tree-inventoried vegetation plots across the most biodiverse savanna on earth, we offer a first biome-wide assessment of tree diversity across the Brazilian Cerrado. We mapped tree species richness and alpha-diversity at 0.1-degree resolution and investigated their environmental drivers. Using only spatial location, stratified by vegetation formation, our LOESS-based model provides the most spatially detailed assessment of tree diversity across the Brazilian Cerrado to date, explaining approximately 47% of the observed variation in tree species richness. The south-western and central-western regions of the Brazilian Cerrado exhibited the highest tree biodiversity. Tree species richness was positively associated with broad-scale precipitation, temperature gradients, and soil clay content, whereas it declined with increasing fire frequency, soil bulk density, and soil aluminium concentration. Our results reveal marked spatial patterns and key environmental drivers of tree diversity across the Brazilian Cerrado, providing a valuable foundation for future biodiversity assessments and evidence-based conservation planning throughout the biome.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.