Evidence map›Paper›PMID 42174050›Full record

ArticleScientific reports2026

Holocene transition from climate-driven to human-dominated wetland dynamics in Sinchang-dong, South Korea.

Ara Cho, Jin Cheul Kim, Min Han, Jieun Kwon, Jaeyoung Lee, Sangheon Yi

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

6 authors.

Ara ChoGeological Survey Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea. joara5813@kigam.re.kr.
Jin Cheul KimGeological Survey Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea.
Min HanGeological Survey Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea.
Jieun KwonGeological Survey Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea.
Jaeyoung LeeGeological Survey Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea.
Sangheon YiGeological Survey Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea.

Funding

Korea Institute of Geoscience and Mineral Resources GP2025-008(26-3413)
6 · The paper itself

Abstract

In this study, we reconstruct the Holocene environmental history of the Sinchang-dong wetland, a key archaeological site in South Korea, using a multi-proxy approach integrating diatom and phytolith assemblages with quantitative archaeological demographic data. A Bayesian age-depth model (ca. 9.0-1.0 ka) reveals contrasting ecosystem responses to the 8.2 ka and 4.2 ka climatic events and intensified human activity. Both events are marked by diatom-poor intervals and elevated chrysophyte/diatom ratios, indicating phases of hydro-ecological instability. Responses differed between the two intervals: the 8.2 ka event was followed by a more prolonged recovery, whereas the 4.2 ka event was followed by more rapid reorganization of the wetland system. A statistically significant regime shift at ca. 2.3 ka, identified using Sequential t-test Analysis of Regime Shifts (STARS), marks a transition from a climate-driven lacustrine system to an anthropogenically dominated agricultural landscape. This shift coincides with increased Oryza sativa phytoliths, adoption of iron farming tools, and regional demographic expansion. After ca. 2.3 ka, human activity surpassed climate as the dominant driver of wetland dynamics, illustrating the transition of small East Asian wetlands from climate-sensitive to human-dominated systems.

Indexed as

ClimateWetlandsArchaeologyClimate ChangeDiatomsEcosystemHuman ActivitiesHumansRepublic of KoreaAgricultural intensificationClimate variabilityDiatomsHolocenePhytolithsRegime shiftsWetland ecosystems

Identifiers

PMID42174050
PMCPMC13408133

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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.