Evidence map›Paper›PMID 41062459›Full record

ArticleNature communications2025

Rapid monitoring of global land change.

Amy H Pickens, Matthew C Hansen, Zhen Song, Andrew Poulson, Anna Komarova, Antoine Baggett, Theodore Kerr, Aleksandra Mikus, Carolina Ortiz Dominguez, Alexandra Tyukavina and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

11 authors.

Amy H PickensDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA. ahudson2@umd.edu.ORCID http://orcid.org/0000-0002-6014-6031
Matthew C HansenDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0003-0042-2767
Zhen SongDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0001-8784-617X
Andrew PoulsonDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.
Anna KomarovaDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0003-2746-2291
Antoine BaggettDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.
Theodore Kerr *Department of Geographical Sciences, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0009-0008-4383-1070
Aleksandra Mikus *Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
Carolina Ortiz Dominguez *Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
Alexandra TyukavinaDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0003-3872-9844
André LimaDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-6536-7116

Funding

NASA | Jet Propulsion Laboratory (JPL) 1669907
6 · The paper itself

Abstract

Direct human action, principally land use expansion, and natural dynamics, such as fire and drought, drive global land change. Here we present a global land change monitoring system, DIST-ALERT, that rapidly tracks vegetation loss anomalies with 30 m resolution using imagery from Landsat 8/9 and Sentinel-2A/B/C satellites. The alerts capture agricultural expansion, urbanization, logging, mining, fire, drought, landslides, and other dynamics, but without attribution. Identified through a probability sample, 2023 anthropogenic land use conversions totaled 28.6 ± 7.6 Mha (±standard error), half of which replaced long-lived or secondary natural vegetation. Fires resulting in land cover conversion totaled 14.9 ± 4.3 Mha (±standard error). Combined, these dynamics equal 0.3% of the global land surface, equivalent to the area of the state of California. Annual DIST-ALERT summaries of land use expansion and climate-driven land change can serve as a future long-term global environmental data record.

Identifiers

PMID41062459
PMCPMC12508086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.