Evidence map›Paper›PMID 30397450›Full record

ArticleEcology and evolution2018

Biodiversity explains maximum variation in productivity under experimental warming, nitrogen addition, and grazing in mountain grasslands.

Jiajia Liu, Detuan Liu, Kun Xu, Lian-Ming Gao, Xue-Jun Ge, Kevin S Burgess, Marc W Cadotte

Abstract read
In one paragraph

Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assessing the roles of nitrogen, biomass, and niche dimensionality as drivers of species loss in grassland communities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Pulse grazing by reindeer (Ecology and evolution · 2021
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Jiajia LiuKey Laboratory of Plant Resources Conservation and Sustainable Utilization South China Botanical Garden The Chinese Academy of Sciences Guangdong China.ORCID 0000-0002-9778-060X
Detuan LiuYunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations Kunming Institute of Botany Chinese Academy of Sciences Kunming Yunnan China.
Kun XuLijiang Forest Ecosystem Research Station Kunming Institute of Botany Chinese Academy of Sciences Kunming China.
Lian-Ming GaoKey Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of Botany Chinese Academy of Sciences Kunming China.ORCID 0000-0001-9047-2658
Xue-Jun GeKey Laboratory of Plant Resources Conservation and Sustainable Utilization South China Botanical Garden The Chinese Academy of Sciences Guangdong China.
Kevin S BurgessDepartment of Biology Columbus State University University System of Georgia Columbus Georgia USA.ORCID 0000-0002-9663-9428
Marc W CadotteDepartment of Biological Sciences University of Toronto-Scarborough Toronto Ontario Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic global warming, nitrogen addition, and overgrazing alter plant communities and threaten plant biodiversity, potentially impacting community productivity, especially in sensitive mountain grassland ecosystems. However, it still remains unknown whether the relationship between plant biodiversity and community productivity varies across different anthropogenic influences, and especially how changes in multiple biodiversity facets drive these impacts on productivity. Here, we measured different facets of biodiversity including functional and phylogenetic richness and evenness in mountain grasslands along an environmental gradient of elevation in Yulong Mountain, Yunnan, China. We combined biodiversity metrics in a series of linear mixed-effect models to determine the most parsimonious predictors for productivity, which was estimated by aboveground biomass in community. We examined how biodiversity-productivity relationships were affected by experimental warming, nitrogen addition, and livestock-grazing. Species richness, phylogenetic diversity, and single functional traits (leaf nitrogen content, mg/g) represented the most parsimonious combination in these scenarios, supporting a consensus that single-biodiversity metrics alone cannot fully explain ecosystem function. The biodiversity-productivity relationships were positive and strong, but the effects of treatment on biodiversity-productivity relationship were negligible. Our findings indicate that the strong biodiversity-productivity relationships are consistent in various anthropogenic drivers of environmental change.

Indexed as

experimental warmingfunctional diversitygrazingmultimodel inferencenitrogen additionphylogenetic diversity

Identifiers

PMID30397450
PMCPMC6206177

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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.