Evidence map›Paper›PMID 41668234›Full record

ArticleGlobal change biology2026

Quantifying the Spatial Footprint of Agriculture-Driven Edge Effects in a Global Deforestation Hotspot.

Sebastián Torrella, Matthias Baumann, Marie Pratzer, Sebastián Aguiar, María Piquer-Rodríguez, Rubén Ginzburg, Gregorio Gavier Pizarro, Tobias Kuemmerle

Abstract read
In one paragraph

Article in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Sebastián TorrellaGeography Department, Humboldt-Universität Zu Berlin, Berlin, Germany.ORCID 0000-0002-2397-7397
Matthias BaumannGeography Department, Humboldt-Universität Zu Berlin, Berlin, Germany.
Marie PratzerGeography Department, Humboldt-Universität Zu Berlin, Berlin, Germany.
Sebastián AguiarDepartamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Buenos Aires, Argentina.
María Piquer-RodríguezInstitute of Geographical Sciences, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0001-8181-5049
Rubén GinzburgDepartamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Buenos Aires, Argentina.
Gregorio Gavier PizarroInstituto de Fisiología y Recursos Genéticos Vegetales (IFRGV)-CIAP-INTA, Córdoba, Argentina.
Tobias KuemmerleGeography Department, Humboldt-Universität Zu Berlin, Berlin, Germany.ORCID 0000-0002-9775-142X

Funding

H2020 European Research Council 101001239Universidad de Buenos Aires 0020220400286BA
6 · The paper itself

Abstract

Tropical dry forests are under high and rising pressure from agricultural expansion, resulting in widespread forest conversion and fragmentation. Additionally, remaining forests experience a range of edge effects through agriculture once it has been established, yet such agriculture-driven edge effects remain weakly understood. Focusing on the Argentine Dry Chaco, a global hotspot for deforestation, we utilized satellite-based forest structure indicators within a Bayesian Hierarchical Modelling framework to quantify and map agricultural edge effects on fractional tree and shrub cover, and aboveground biomass. Specifically, we assessed how far edges reach into forests away from the forest-agriculture interface, whether edge effects differ among post-deforestation land uses (i.e., cropping vs. ranching), and how edge effects evolve over time. We reveal large agriculture-driven edge effects in the Chaco, penetrating > 700 m into adjacent forests, with reductions of up to 41% in our structural parameters. Cropping was associated with much stronger edge effects than pastures, likely due to the combined effect of environmental (e.g., wind) and management (e.g., pesticide drift) factors, while silvopastures had much lower edge effects. Projecting our models across the region showed that 18% of remaining forests are degraded, with an estimated total loss of 92.3 million tons of aboveground biomass. Lastly, agriculture-driven edge effects intensified for long periods after initial deforestation (e.g., > 30 years for tree cover), suggesting agricultural expansion creates a degradation debt that unfolds over decades. We conclude that agriculture-driven edge effects are a major, yet often overlooked, consequence of agricultural expansion, leading to profound degradation far beyond the deforestation footprint. Despite their importance, these effects remain systematically underestimated in sustainability analyses, such as carbon accounting or biodiversity impact assessments. Our work supports views that conservation planning should prioritize large and contiguous forest patches to help maintain ecologically functional forests.

Indexed as

AgricultureConservation of Natural ResourcesForestsArgentinaBayes TheoremBiomassModels, TheoreticalTreesTropical Climateaboveground biomassagricultural expansionBayesian multilevel modelsdry Chacoshrub covertree covertropical dry forests

Identifiers

PMID41668234
PMCPMC12891297

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LicenceCC BY
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Registered trials

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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.