Evidence map›Paper›PMID 41559363›Full record

ArticleScientific reports2026

Discrepancies in Arctic-boreal lake area trends driven by sensitivity to dry conditions.

Elizabeth E Webb, Sarah W Cooley, Eric Levenson, James Maze

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Elizabeth E WebbDivision of Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA. webb.e@duke.edu.
Sarah W CooleyDivision of Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA.
Eric LevensonDepartment of Geography, University of Oregon, Eugene, OR, USA.
James MazeDepartment of Geography, University of Oregon, Eugene, OR, USA.

Funding

NASA 80NSSC21K0920Office of Polar Programs 2317873
6 · The paper itself

Abstract

Northern lakes provide habitat for wildlife, regulate biogeochemical cycles, and supply subsistence resources for local communities. Monitoring long-term changes in these lakes is crucial to understanding how human activity and climate change affect these ecosystems. However, multidecadal trends in northern lake area are highly uncertain, with different studies reporting directionally opposite trends over the same region. Here, we examine the sources of differences between lake area estimates and short-term lake area trends derived from one Sentinel-2-based and two Landsat-based surface water products across five northern study regions. We show that differences in the magnitude and direction of regional lake area trends are related to systematic between-product differences in surface water detection in dry vs. wet years, with larger discrepancies in dry years. In some regions, these between-product differences were substantial enough to result in directionally opposite short-term trends (2016–2021), providing an explanation for disagreements in long-term (decadal-scale) studies. These between-product differences in wet vs. dry years reflect how the products classify mixed shoreline and other ambiguous pixels, which are more prevalent in regions with small, shallow lakes and aquatic vegetation. Resolving discrepancies in long-term trends will require new technologies and methods designed to differentiate between water, land, and inundated vegetation.

Indexed as

Arctic lakesLake area trendsSurface water classification

Identifiers

PMID41559363
PMCPMC12894664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.