Evidence map›Paper›PMID 42016977›Full record

ArticleEcology and evolution2026

Long-Term Effects of Freeze-Thaw Events on Ecosystem Carbon Exchange.

Qingfeng Xu, Kai Guo, Jintao Zhao, Chunjing Zhao, Yinan Wang, Fengying Jin

Abstract read
In one paragraph

Article in Ecology and evolution, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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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.

Qingfeng XuKey Laboratory of Water and Soil Conservation on the Loess Plateau of MWR Yellow River Institute of Hydraulic Research Zhengzhou China.ORCID https://orcid.org/0009-0000-6087-0874
Kai GuoKey Laboratory of Water and Soil Conservation on the Loess Plateau of MWR Yellow River Institute of Hydraulic Research Zhengzhou China.
Jintao ZhaoKey Laboratory of Water and Soil Conservation on the Loess Plateau of MWR Yellow River Institute of Hydraulic Research Zhengzhou China.
Chunjing ZhaoKey Laboratory of Water and Soil Conservation on the Loess Plateau of MWR Yellow River Institute of Hydraulic Research Zhengzhou China.
Yinan WangKey Laboratory of Water and Soil Conservation on the Loess Plateau of MWR Yellow River Institute of Hydraulic Research Zhengzhou China.
Fengying JinKey Laboratory of Water and Soil Conservation on the Loess Plateau of MWR Yellow River Institute of Hydraulic Research Zhengzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freezing-thawing cycle (FTC) event plays a significant role in the regions with relative higher altitude and latitude, which is judged based on soil temperature. It affects soil environment and ecosystem productivity by altering soil physical structure, including physicochemical properties and water phase changes. Drawing on more than a decade of continuous measurements from 24 eddy-covariance towers, we quantified how freeze-thaw cycles affect net ecosystem exchange (NEE) and ecosystem respiration (RE) and assessed the capacity of these carbon fluxes to withstand such events. The average percentile of ecosystem NEE in the first, middle, and last three stages of freeze-thaw events is 66.57%, 61.77%, and 57.21%, respectively. Prior to the freeze-thaw event, ecosystem respiration accounted for 28.07% of the reference level; during the event, this proportion declined to 24.38%, whereas it subsequently rose to 31.75% after the freeze-thaw disturbance. Resistance denotes an ecosystem's ability to preserve its functional stability throughout a freeze-thaw cycle. It is quantified as the ratio of the change in ecosystem carbon exchange before and during the freeze-thaw event to the corresponding change in soil temperature. Mean annual temperature (MAT), duration of freeze-thaw events, and elevation emerged as the primary drivers governing the resistance of both NEE and RE. Collectively, our results underscore how freeze-thaw cycles modulate carbon dynamics and why this interaction merits heightened attention under a changing climate.

Indexed as

ecosystem resistanceecosystem respirationfreeze–thaw cyclesmachine learningnet ecosystem exchangesoil temperature

Identifiers

PMID42016977
PMCPMC13093304

What OpenQuestion holds

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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.