Evidence map›Paper›PMID 28931064›Full record

ArticlePloS one2017

Dynamics of soil organic carbon mineralization in tea plantations converted from farmland at Western Sichuan, China.

Renhuan Zhu, Zicheng Zheng, Tingxuan Li, Xizhou Zhang, Shuqin He, Yongdong Wang, Tao Liu, Wei Li

Abstract read
In one paragraph

Article in PloS one, 2017. 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
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

3 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

8 authors.

Renhuan ZhuCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.
Zicheng ZhengCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0000-0002-2743-9174
Tingxuan LiCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.
Xizhou ZhangCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.
Shuqin HeCollege of Forestry, Sichuan Agricultural University, Chengdu, China.
Yongdong WangCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.
Tao LiuCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.
Wei LiCollege of Resources Science, Sichuan Agricultural University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate warming and land use change are some of the drivers affecting soil organic carbon (SOC) dynamics. The Grain for Green Project, local natural resources, and geographical conditions have resulted in farmland conversion into tea plantations in the hilly region of Western Sichuan. However, the effect of such land conversion on SOC mineralization remains unknown. In order to understand the temperature sensitivity of SOC decomposition in tea plantations converted from farmland, this study considered the different years (i.e., 2-3, 9-10, and 16-17 years) of tea plantations converted from farmland as the study site, and soil was incubated for 28 days at 15°C, 25°C, and 35°C to measure the soil respiration rate, amount, and temperature coefficient (Q10). Temperature and land use type interactively affected the SOC mineralization rate, and the cumulative amount of SOC mineralization in all the plots was the largest at 35°C. SOC mineralization was greater and more sensitive to temperature changes in the farmland than in the tea plantations. Compared with the control, tea plantation soils showed lower SOC mineralization rate and cumulative mineralization amount. The 16-17-year-old tea plantation with a low SOC mineralization amount and high SOC content revealed the benefits of carbon sequestration enhancement obtained by converting farmland into tea plantations. The first-order kinetic equation described SOC mineralization dynamics well. Farmland conversion into tea plantations appeared to reduce the potentially mineralizable carbon pool, and the age of tea plantations also had an effect on the SOC mineralization and sequestration. The relatively weak SOC mineralization temperature sensitivity of the tea plantation soils suggested that the SOC pool of the tea plantation soils was less vulnerable to warming than that of the control soils.

Indexed as

Camellia sinensisAgricultureCarbonChinaComputer SimulationFarmsSoilTemperatureCarbonSoil

Identifiers

PMID28931064
PMCPMC5607202

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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.