Evidence map›Paper›PMID 41884000›Full record

ArticleiScience2026

Agriculture land-use change is driven by socioeconomic flows across local to global scales.

Joris Van Zeghbroeck, Michele Remer, Nicholas Manning, Emilio F Moran, Jianguo Liu

Abstract read
In one paragraph

Article in iScience, 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.

Joris Van ZeghbroeckCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, USA.
Michele RemerCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, USA.
Nicholas ManningCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, USA.
Emilio F MoranCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, USA.
Jianguo LiuCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture is the key to global food security and environmental sustainability; however, little is known about how cross-scale socioeconomic flows influence agricultural land use. We addressed this knowledge gap by evaluating the metacoupled flows of crops, capital investments, and migration. We assessed how these flows impacted land used for crop production in India and Argentina, which contain global biodiversity hotspots and high levels of agriculture. During our study time frame (1990-2015), land used for crop flows increased by 33.6 Mha, primarily driven by increases in crops produced for domestic consumption. Capital investments from distant countries and within the focal countries increased transportation infrastructure and processing capacity, supporting the expansion of crop production. Migration from adjacent countries and within the focal countries increased urban populations, leading to the displacement of agricultural lands surrounding metropolitan areas. Our results underscore the significance of cross-scale socioeconomic flows and their potential to inform effective land use policies.

Indexed as

Agricultural economicsEnvironmental scienceSocial sciences

Identifiers

PMID41884000
PMCPMC13010114

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.