Evidence map›Paper›PMID 29666315›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Plant diversity enhances productivity and soil carbon storage.

Shiping Chen, Wantong Wang, Wenting Xu, Yang Wang, Hongwei Wan, Dima Chen, Zhiyao Tang, Xuli Tang, Guoyi Zhou, Zongqiang Xie and 15 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
44.7field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 706 citations in OpenAlex.

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37 more citing papers are in PubMed but not listed here.

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

25 authors at 7 institutions in 2 countries.

Shiping ChenState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Wantong WangSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Wenting XuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Yang WangState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Hongwei WanState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Dima ChenState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0002-1687-0401
Zhiyao TangCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.ORCID 0000-0003-0154-6403
Xuli TangSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Guoyi ZhouSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Zongqiang XieState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Daowei ZhouNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China.
Zhouping ShangguanState Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China.
Jianhui HuangState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Jin-Sheng HeCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.ORCID 0000-0001-5081-3569
Yanfen WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Jiandong ShengKey Laboratory of Soil and Plant Ecological Processes, College of Grassland and Environment Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Lisong TangState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Xinrong LiKey Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China.
Ming DongKey Laboratory of Hangzhou City for Ecosystem Protection and Restoration, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, China.
Yan WuChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
Qiufeng WangSynthesis Research Center of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Zhiheng WangCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.ORCID 0000-0003-0808-7780
Jianguo WuSchool of Life Sciences and School of Sustainability, Arizona State University, Tempe, AZ 85287.
F Stuart ChapinInstitute of Arctic Biology, University of Alaska, Fairbanks, AK 99775.
Yongfei BaiState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; yfbai@ibcas.ac.cn.
Chinese Academy of Sciences · CNPeking University · CNBeijing Normal University · CNHangzhou Normal University · CNInstitute of Soil and Water Conservation · CNUniversity of Alaska Fairbanks · USXinjiang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite evidence from experimental grasslands that plant diversity increases biomass production and soil organic carbon (SOC) storage, it remains unclear whether this is true in natural ecosystems, especially under climatic variations and human disturbances. Based on field observations from 6,098 forest, shrubland, and grassland sites across China and predictions from an integrative model combining multiple theories, we systematically examined the direct effects of climate, soils, and human impacts on SOC storage versus the indirect effects mediated by species richness (SR), aboveground net primary productivity (ANPP), and belowground biomass (BB). We found that favorable climates (high temperature and precipitation) had a consistent negative effect on SOC storage in forests and shrublands, but not in grasslands. Climate favorability, particularly high precipitation, was associated with both higher SR and higher BB, which had consistent positive effects on SOC storage, thus offsetting the direct negative effect of favorable climate on SOC. The indirect effects of climate on SOC storage depended on the relationships of SR with ANPP and BB, which were consistently positive in all biome types. In addition, human disturbance and soil pH had both direct and indirect effects on SOC storage, with the indirect effects mediated by changes in SR, ANPP, and BB. High soil pH had a consistently negative effect on SOC storage. Our findings have important implications for improving global carbon cycling models and ecosystem management: Maintaining high levels of diversity can enhance soil carbon sequestration and help sustain the benefits of plant diversity and productivity.

Indexed as

BiodiversityCarbon SequestrationEcosystemBiomassCarbonChinaConservation of Natural ResourcesDatasets as TopicFarmsForestsGrasslandHuman ActivitiesHumansHydrogen-Ion ConcentrationNitrogenPlant DispersalCarbonNitrogenSoilaboveground net primary productivitybelowground biomasshuman disturbancesoil carbon storagespecies richness

Identifiers

PMID29666315
PMCPMC5910804
OpenAlexW2799728970

What OpenQuestion holds

Textmetadata
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.