Evidence map›Paper›PMID 42280645›Full record

ArticlePlants (Basel, Switzerland)2026

Forest Vegetation of the Colombian Orinoquia: Characterization and Spatial Distribution Across Environmental Gradients.

Larry Niño, Orlando Rangel, Diego Giraldo-Cañas, Daniel Sánchez-Mata, Vladimir Minorta-Cely

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Larry NiñoNatural Science Institute, National University of Colombia, Bogotá D.C. 111321, Colombia.ORCID 0000-0003-2350-0879
Orlando RangelNatural Science Institute, National University of Colombia, Bogotá D.C. 111321, Colombia.ORCID 0000-0002-7907-9393
Diego Giraldo-CañasNatural Science Institute, National University of Colombia, Bogotá D.C. 111321, Colombia.
Daniel Sánchez-MataBotany Unit, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-6910-4949
Vladimir Minorta-CelyBiology Program and Natural Sciences Services, Central University, Bogotá D.C. 111711, Colombia.ORCID 0009-0007-8590-5739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vegetation spatial heterogeneity is fundamental to biodiversity management and ecosystem service provision, yet detailed phytosociological mapping of forest vegetation remains largely unresolved in the Colombian Orinoquia. This study characterized the geographic distribution of forest vegetation through the integration of 178 field surveys, environmental complex variables defined by geomorphological and bioclimatic gradients, and multi-sensor satellite imagery combining Landsat-8 optical bands and Sentinel-1 dual-polarization data, processed within a Random Forest classification framework in Google Earth Engine. Classifications achieved overall accuracies between 0.910 and 0.975 and Kappa coefficients above 0.93, identifying 24 phytosociological alliances or geobotanical formations distributed across approximately 7,565,696 ha, representing 34.63% of the region. Forest cover ranges from 10.95% in the Floodplain to 55.22% in La Macarena, with the High Plain concentrating the greatest formation diversity. The spatial organization of forest vegetation is primarily governed by the geomorphological gradient-fluvial, denudational, and structural-and limiting bioclimatic factors, together with their associated edaphic-hydrological regimes, with anthropic transformation driven by cattle ranching and agricultural expansion constituting the principal threat to forest cover. These results advance beyond existing land cover surrogates, providing an empirically validated cartographic framework for biodiversity assessment, habitat modeling, and natural capital management in the Colombian Orinoquia.

Indexed as

Colombian orinoquiaenvironmental gradientsforests mappingmulti-sensor remote sensingneotropical savannasphytosociologyrandom forest

Identifiers

PMID42280645
PMCPMC13258845

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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.