Evidence map›Paper›PMID 41370032›Full record

ArticleCarbon balance and management2025

How does thinning affect the carbon budget of a subtropical coniferous plantation?

Mingjie Xu, Shengtong Li, Fengting Yang, Tao Zhang, Xiao Liu, Hui Zhang, Yuting Wang, Jiaxin Song, Ziyi Wang, Xianjin Zhu and 3 more

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Mingjie XuCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.
Shengtong LiCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.
Fengting YangInstitute of Geographic Sciences and Natural Resources Research Key Laboratory of Ecosystem Network Observation and Modeling, National Critical Zone Observatory of Red Soil Hilly Region in Qianyanzhou Chinese Academy of Sciences, Beijing, 100101, China.
Tao ZhangCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China. zhangt@syau.edu.cn.
Xiao LiuInstitute of Geographic Sciences and Natural Resources Research Key Laboratory of Ecosystem Network Observation and Modeling, National Critical Zone Observatory of Red Soil Hilly Region in Qianyanzhou Chinese Academy of Sciences, Beijing, 100101, China.
Hui ZhangJinzhou Ecology and Agriculture Meteorological Center Liaoning Meteorological Bureau, Jinzhou, 121000, China.
Yuting WangCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.
Jiaxin SongCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.
Ziyi WangCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.
Xianjin ZhuCollege of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China.
Chuanpeng ChengCollege of Resources and Environment, Henan University of Economics and Law, Zhengzhou, 450046, China.
Jianlei WangNonferrous Metals Industry Technology Development and Exchange Center Co., Ltd, Beijing, 100814, China.
Huimin WangInstitute of Geographic Sciences and Natural Resources Research Key Laboratory of Ecosystem Network Observation and Modeling, National Critical Zone Observatory of Red Soil Hilly Region in Qianyanzhou Chinese Academy of Sciences, Beijing, 100101, China. wanghm@igsnrr.ac.cn.

Funding

Liaoning Province Science and Technology Plan Joint Program 2024-MSLH-241 and 2024-MSLH-235National Natural Science Foundation of China 32471642National Natural Science Foundation of China 42175141 and W2523030
6 · The paper itself

Abstract

backgroundTo mitigate climate change, China has established extensive plantations since the 1970s, making a substantial contribution to the terrestrial carbon sink. However, after decades of growth, plantations require effective management due to potential ecological risks. While thinning can provide long-term economic and ecological benefits for planted forests, it also imposes significant short-term disturbances that may result in temporary carbon sink losses. This raises a critical question: How does thinning affect forest carbon budgets on Earth? This issue is very controversial, largely due to variations in climate conditions, methodological approaches, and study scales. Consequently, in this study, three methods were used to quantify the effects of thinning on carbon fluxes and provide a theoretical and practical basis for carbon budget estimation and forest management.

resultsThe 1-tower, look-up table (LUT), and 2-tower methods were used to investigate the effects of thinning on carbon fluxes. Among them, the 2-tower method is considered the most dependable which tracked the seasonal variation pattern of the carbon fluxes best. The 1-tower method is direct and easy to conduct but may involve estimation biases introduced by climatic interannual variations. While the LUT method could theoretically diminish the effects of the varying climate, it was weak in tracking relatively extreme values. The three methods yielded consistent results, indicating that 25% thinning enhanced gross primary productivity (GPP), net ecosystem productivity (NEP), and ecosystem respiration (Re). According to the 2-tower results, in the first year after thinning, the GPP increased by 9.8%, and it increased more in the second year after thinning, reaching 14.6%. However, a much greater increase in Re was found in the second year after thinning than in the first year, with values of 23.2% and 12.6%, respectively. Consequently, the increases in NEP induced by GPP were offset by increasing Re, which was 5.4% and 0.5% in the first and second years after thinning, respectively.

conclusionsThinning enhanced the GPP, Re, and NEP in the subtropical forest, indicating the positive effects of thinning in a near-mature coniferous plantation, even shortly after thinning.

Indexed as

Eddy covarianceForest managementPhotosynthesisRespirationThinning

Identifiers

PMID41370032
PMCPMC12802167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.