Evidence map›Paper›PMID 30813633›Full record

ArticleInternational journal of environmental research and public health2019

Characterizing Spatiotemporal Dynamics of CH₄ Fluxes from Rice Paddies of Cold Region in Heilongjiang Province under Climate Change.

Tangzhe Nie, Zhongxue Zhang, Zhijuan Qi, Peng Chen, Zhongyi Sun, Xingchao Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Emissions of COInternational journal of environmental research and public health · 2019
    Article
  3. 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

6 authors at 2 institutions in 2 countries.

Tangzhe NieSchool of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China. nietangzhe@neau.edu.cn.
Zhongxue ZhangSchool of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China. zhangzhongxue@163.com.
Zhijuan QiSchool of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China. zhijuan.qi@neau.edu.cn.
Peng ChenSchool of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China. liuwanning@neau.edu.cn.
Zhongyi SunGraduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan. sunzy025@env.agr.hokudai.ac.jp.
Xingchao LiuSchool of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China. neauliuxing@163.com.
Northeast Agricultural University · CNHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paddy fields have become a major global anthropogenic CH₄ emission source, and climate change affects CH₄ emissions from paddy ecosystems by changing crop growth and the soil environment. It has been recognized that Heilongjiang Province has become an important source of CH₄ emission due to its dramatically increased rice planting area, while less attention has been paid to characterize the effects of climate change on the spatiotemporal dynamics of CH₄ fluxes. In this study, we used the calibrated and validated Long Ashton Research Station Weather Generator (LARS-WG) model and DeNitrification-DeComposition (DNDC) model to simulate historical and future CH₄ fluxes under RCP 4.5 and RCP 8.5 of four global climate models (GCMs) in Heilongjiang Province. During 1960⁻2015, the average CH₄ fluxes and climatic tendencies were 145.56 kg C/ha and 11.88 kg C/ha/(10a), respectively. Spatially, the CH₄ fluxes showed a decreasing trend from west to east, and the climatic tendencies in the northern and western parts were higher. During 2021⁻2080, the annual average CH₄ fluxes under RCP 4.5 and RCP 8.5 were predicted to be 213.46 kg C/ha and 252.19 kg C/ha, respectively, and their spatial distributions were similar to the historical distribution. The average climatic tendencies were 13.40 kg C/ha/(10a) and 29.86 kg C/ha/(10a), respectively, which decreased from west to east. The simulation scenario analysis showed that atmospheric CO₂ concentration and temperature affected CH₄ fluxes by changing soil organic carbon (SOC) content and plant biomass. This study indicated that a paddy ecosystem in a cold region is an important part of China's greenhouse gas emission inventory in future scenarios.

Indexed as

Climate ChangeCold ClimateModels, TheoreticalChinaEcosystemEnvironmental MonitoringGreenhouse GasesMethaneOryzaSoilGreenhouse GasesMethaneSoilCH4 fluxesclimate changeDNDC modelrice paddies of cold regionspatiotemporal distribution

Identifiers

PMID30813633
PMCPMC6427409
OpenAlexW2915831238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.