Evidence map›Paper›PMID 40762695›Full record

ArticleEnvironmental management2025

The Effect of Dominant Land-Cover Transitions in Shaping Trajectories of Global Forest Change.

Aman Gupta, Maarten B Eppinga, Reinhard Furrer, Maria J Santos

Abstract read
In one paragraph

Article in Environmental management, 2025. 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

4 authors.

Aman GuptaDepartment of Geography, University of Zurich, Zurich, Switzerland. aman.gupta@geo.uzh.ch.ORCID 0009-0003-4821-5940
Maarten B EppingaDepartment of Geography, University of Zurich, Zurich, Switzerland.
Reinhard FurrerDepartment for Mathematical Modeling and Machine Learning, University of Zurich, Zürich, Switzerland.
Maria J SantosDepartment of Geography, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land-cover transitions from forest to non-forest land-covers have led to substantial loss and fragmentation of global forests. While average rates of forest change are well studied, less attention has been paid to spatio-temporal trajectories of forest loss and recovery. These trajectories likely differ by land-cover transition types, and may be constrained by the initial amount and spatial arrangement of the non-forest land-cover. In this study, we distinguish between abrupt and gradual forest change trajectories, evaluating how they vary across land-cover transitions and how initial non-forest land-cover conditions mediate the amount and rate of forest change. To this end, we use annual global land-cover maps (1992-2020) from the European Space Agency's Climate Change Initiative. We find that the expansion of croplands and bare lands drive forest loss, while transitions from wetlands, shrublands and grasslands are key contributors to forest gain. Forest loss rates were lower when the non-forest land-cover was initially fragmented, except for settlements and bare land, where fragmentation accelerated loss. Conversely, forest gain was highest in wetlands and shrublands, though increased fragmentation generally reduced the amount and rate of forest gain. Our results show that the amount and rate of forest change are associated with the initial amount and spatial arrangement of the non-forest, transition land-cover. This insight may improve our ability to link remotely-sensed land-cover changes to the underlying drivers of global forest change.

Indexed as

Climate ChangeConservation of Natural ResourcesForestsWetlandsForest change trajectoriesGlobal forest changeLand-cover transitionsLandscape configurationTime-series modeling

Identifiers

PMID40762695
PMCPMC12457455

What OpenQuestion holds

Textmetadata
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.