Evidence map›Paper›PMID 41557641›Full record

ArticlePloS one2026

Integrated reconstruction of January and July temperature series in the Sanjiangyuan region during the Holocene.

Yan Wang, Guangchao Cao, Guangliang Hou, Jian Ni, Tao Huang, Li Yan, Jinrong Hu

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yan WangKey Laboratory of Physical Geography and Environmental Processes, College of Geographical Science, Qinghai Normal University, Xining, China.ORCID https://orcid.org/0009-0007-9044-7517
Guangchao CaoKey Laboratory of Physical Geography and Environmental Processes, College of Geographical Science, Qinghai Normal University, Xining, China.ORCID https://orcid.org/0009-0009-2173-8534
Guangliang HouKey Laboratory of Physical Geography and Environmental Processes, College of Geographical Science, Qinghai Normal University, Xining, China.
Jian NiCollege of Life Sciences, Zhejiang Normal University, Jinhua, China.ORCID https://orcid.org/0000-0001-5411-7050
Tao HuangSchool of Computer Science, Qinghai Normal University, Xining, China.ORCID https://orcid.org/0009-0005-9183-4223
Li YanKey Laboratory of Physical Geography and Environmental Processes, College of Geographical Science, Qinghai Normal University, Xining, China.
Jinrong HuKey Laboratory of Physical Geography and Environmental Processes, College of Geographical Science, Qinghai Normal University, Xining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Sanjiangyuan region, located in the hinterland of the Qinghai-Tibet Plateau(QTP), is highly sensitive to global climate change. Reconstructing its Holocene January and July temperatures is crucial for studying climate change and guiding ecological conservation in alpine regions. Current research on paleoclimate changes in Sanjiangyuan region primarily focuses on small subregions, limiting holistic understanding of regional climate.This study utilizes fossil pollen data, for the first time, integrates the Dynamic Multi-proxy Fusion and Scaling(DMFS) model to reconstruct the Holocene January and July temperature change sequences, thereby exploring temperature variations in the Sanjiangyuan region during 12.5 ka BP. The results indicated:12.5-6.0 ka BP: Both January and July temperatures showed a gradual increase,marking climatic improvement. 6.0-4.0 ka BP, both January and July temperatures remained at high levels, despite their fluctuations. During this period, temperatures reached their peak, reflecting a warm, humid, and most hospitable climate.4.0-2.5 ka BP: Both January and July temperatures showed declining trends to varying degrees, the climate became cold and dry. Post 2.5 ka BP: Both January and July temperatures rebounded. Comparisons with other high-resolution environmental records from the QTP confirmed consistent trends and synchronic dry-wet events. This study contributed essential fossil pollen data and paleotemperature records to the Sanjiangyuan region. This will fill a critical gap in paleoclimate research for the Sanjiangyuan region and provide valuable insights for long-term paleoclimate studies.

Indexed as

Climate ChangeSeasonsTemperatureChinaClimateFossilsPollen

Identifiers

PMID41557641
PMCPMC12818609

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