Evidence map›Paper›PMID 40603964›Full record

ArticleScientific reports2025

Future soil erosion trends in Canadian agricultural lands from runoff and sustainability impacts.

Afshin Amiri, Isa Ebtehaj, Keyvan Soltani, Silvio Jose Gumiere, Hossein Bonakdari

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

Afshin AmiriDepartment of Soils and Agri-Food Engineering, Université Laval, Quebec City, Québec, G1V0A6, Canada.
Isa EbtehajDepartment of Soils and Agri-Food Engineering, Université Laval, Quebec City, Québec, G1V0A6, Canada.
Keyvan SoltaniDepartment of Soils and Agri-Food Engineering, Université Laval, Quebec City, Québec, G1V0A6, Canada.
Silvio Jose GumiereDepartment of Soils and Agri-Food Engineering, Université Laval, Quebec City, Québec, G1V0A6, Canada.
Hossein BonakdariDepartment of Civil Engineering, University of Ottawa, 161 Louis Pasteur Private, Ottawa, ON, K1N 6N5, Canada. hbonakda@uottawa.ca.ORCID http://orcid.org/0000-0001-6169-3654

Funding

Fonds de recherche du Québec - Nature et technologies B2X-315020Natural Sciences and Engineering Research Council of Canada RGPIN-2020-04583
6 · The paper itself

Abstract

Human activities have significantly altered agricultural regions, leading to critical issues such as reduced soil fertility, biodiversity loss, and accelerated soil erosion. Despite their importance, reliable erosion maps for Canadian croplands remain scarce, hindering effective mitigation strategies. Here, we aimed to map erosion-prone areas in Canada by combining remote sensing and artificial intelligence methods under current and future climate scenarios from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Our results revealed that, on a national average, soil erosion in Canada ranges from 4.72 to 6.64 t/ha/yr. All the scenarios indicate an increase in soil erosion over time. Soil degradation could become a more severe problem in the future. Our findings revealed that by 2030, 81,038 km² of agricultural land will experience high and severe erosion risks, indicating a significant 53.9% increase compared with that in 2020. The development of accurate soil erosion risk maps will not only enhance targeted conservation efforts but also serve as a critical tool for policymakers to implement effective soil management strategies, contributing to sustainable agriculture and climate resilience at a broader scale.

Indexed as

Agricultural landCMIP6Deep learningRemote sensingSoil erosionUSLE

Identifiers

PMID40603964
PMCPMC12223118

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.