Evidence map›Paper›PMID 29434266›Full record

ArticleScientific reports2018

Future global productivity will be affected by plant trait response to climate.

Nima Madani, John S Kimball, Ashley P Ballantyne, David L R Affleck, Peter M van Bodegom, Peter B Reich, Jens Kattge, Anna Sala, Mona Nazeri, Matthew O Jones and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Using resurvey data to predict changes in ecosystem functioning across protected and unprotected coastal dunes.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
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  5. Article
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  8. Plastic Responses ofPlants (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. High Atmospheric COPlants (Basel, Switzerland) · 2022
    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

12 authors.

Nima MadaniNumerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, University of Montana, Missoula, MT, 59812, USA. nima.madani@ntsg.umt.edu.ORCID 0000-0003-2853-7611
John S KimballNumerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, University of Montana, Missoula, MT, 59812, USA.
Ashley P BallantyneDepartment of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry & Conservation, University of Montana, Missoula, Montana, 59812, USA.ORCID 0000-0003-1532-5126
David L R AffleckDepartment of Forest Management, W.A. Franke College of Forestry & Conservation, University of Montana, 32 Campus Drive, Missoula, MT, 59812, USA.
Peter M van BodegomInstitute of Environmental Sciences (CML), University Leiden, 2333CC, Leiden, The Netherlands.
Peter B ReichDepartment of Forest Resources, University of Minnesota, 1530 Cleveland Avenue North, St. Paul, Minnesota, 55108, USA.
Jens KattgeMax-Planck-Institute for Biogeochemistry, 07745, Jena, Germany.ORCID 0000-0002-1022-8469
Anna SalaDivision of Biological Sciences, University of Montana, Missoula, MT, 59812, USA.
Mona NazeriDepartment of Wildlife, Fisheries and Aquaculture, Mississippi State University, MS, 39762, USA.
Matthew O JonesNumerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, University of Montana, Missoula, MT, 59812, USA.
Maosheng ZhaoDepartment of Geographical Sciences, University of Maryland, College Park, Maryland, 20742, USA.
Steven W RunningNumerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, University of Montana, Missoula, MT, 59812, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant traits are both responsive to local climate and strong predictors of primary productivity. We hypothesized that future climate change might promote a shift in global plant traits resulting in changes in Gross Primary Productivity (GPP). We characterized the relationship between key plant traits, namely Specific Leaf Area (SLA), height, and seed mass, and local climate and primary productivity. We found that by 2070, tropical and arid ecosystems will be more suitable for plants with relatively lower canopy height, SLA and seed mass, while far northern latitudes will favor woody and taller plants than at present. Using a network of tower eddy covariance CO2 flux measurements and the extrapolated plant trait maps, we estimated the global distribution of annual GPP under current and projected future plant community distribution. We predict that annual GPP in northern biomes (≥45 °N) will increase by 31% (+8.1 ± 0.5 Pg C), but this will be offset by a 17.9% GPP decline in the tropics (-11.8 ± 0.84 Pg C). These findings suggest that regional climate changes will affect plant trait distributions, which may in turn affect global productivity patterns.

Indexed as

AlgorithmsClimate ChangeEcosystemPlant LeavesPlant Physiological Phenomena

Identifiers

PMID29434266
PMCPMC5809371

What OpenQuestion holds

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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.