Evidence map›Paper›PMID 33577084›Full record

SynthesisThe New phytologist2021

Increasing climatic sensitivity of global grassland vegetation biomass and species diversity correlates with water availability.

Daijun Liu, Chao Zhang, Romà Ogaya, Marcos Fernández-Martínez, Thomas A M Pugh, Josep Peñuelas

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in The New phytologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Climate warming reduces soil gaseous nitrogen losses in a temperate forest.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 3 institutions in 6 countries.

Daijun LiuDepartment of Botany and Biodiversity Research, University of Vienna, Rennweg 14, Vienna, 1030, Austria.ORCID 0000-0002-0993-0832
Chao ZhangCSIC, Global Ecology Unit, CREAF-CSIC-Universitat Autònoma de Barcelona, Bellaterra (Catalonia), 08193, Spain.ORCID 0000-0001-7327-9477
Romà OgayaCSIC, Global Ecology Unit, CREAF-CSIC-Universitat Autònoma de Barcelona, Bellaterra (Catalonia), 08193, Spain.ORCID 0000-0003-4927-8479
Marcos Fernández-MartínezPLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Wilrijk, 2610, Belgium.ORCID 0000-0002-5661-3610
Thomas A M PughSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham,, B15 2TT, UK.ORCID 0000-0002-6242-7371
Josep PeñuelasCSIC, Global Ecology Unit, CREAF-CSIC-Universitat Autònoma de Barcelona, Bellaterra (Catalonia), 08193, Spain.ORCID 0000-0002-7215-0150
Universitat Autònoma de Barcelona · ESLund University · SEUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grasslands are key repositories of biodiversity and carbon storage and are heavily impacted by effects of global warming and changes in precipitation regimes. Patterns of grassland dynamics associated with variability in future climate conditions across spatiotemporal scales are yet to be adequately quantified. Here, we performed a global meta-analysis of year and growing season sensitivities of vegetation aboveground biomass (AGB), aboveground net primary productivity (ANPP), and species richness (SR) and diversity (Shannon index, H) to experimental climate warming and precipitation shifts. All four variables were sensitive to climate change. Their sensitivities to shifts in precipitation were correlated with local background water availability, such as mean annual precipitation (MAP) and aridity, and AGB and ANPP sensitivities were greater in dry habitats than in nonwater-limited habitats. There was no effect of duration of experiment (short vs long term) on sensitivities. Temporal trends in ANPP and SR sensitivity depended on local water availability; ANPP sensitivity to warming increased over time and SR sensitivity to irrigation decreased over time. Our results provide a global overview of the sensitivities of grassland function and diversity to climate change that will improve the understanding of ecological responses across spatiotemporal scales and inform policies for conservation in dry climates.

Indexed as

GrasslandWaterBiomassClimate ChangeEcosystemRainWatercarbon storageecological sensitivityglobal warmingprecipitation alterationstructural changestemporal dynamics

Identifiers

PMID33577084
PMCPMC8252445
OpenAlexW3126290625

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.