Evidence map›Paper›PMID 37147282›Full record

ArticleNature communications2023

Clarifying the effect of biodiversity on productivity in natural ecosystems with longitudinal data and methods for causal inference.

Laura E Dee, Paul J Ferraro, Christopher N Severen, Kaitlin A Kimmel, Elizabeth T Borer, Jarrett E K Byrnes, Adam Thomas Clark, Yann Hautier, Andrew Hector, Xavier Raynaud and 21 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Tree growth after a major hurricane reflects predisturbance vigor rather than canopy damage.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Laura E DeeDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA. laura.dee@colorado.edu.ORCID http://orcid.org/0000-0003-0471-1371
Paul J FerraroDepartment of Environmental Health and Engineering, Bloomberg School of Public Health & Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA. pferrar5@jhu.edu.ORCID http://orcid.org/0000-0002-4777-5108
Christopher N SeverenResearch Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA, USA.
Kaitlin A KimmelDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.
Elizabeth T BorerDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, 55108, USA.ORCID http://orcid.org/0000-0003-2259-5853
Jarrett E K ByrnesDepartment of Biology, University of Massachusetts Boston, 100 Morissey Blvd, Boston, MA, 02125, USA.ORCID http://orcid.org/0000-0002-9791-9472
Adam Thomas ClarkInstitute of Biology, University of Graz, Holteigasse 6, 8010, Graz, Austria.
Yann HautierEcology and Biodiversity Group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-4347-7741
Andrew HectorDepartment of Plant Sciences, University of Oxford, Oxford, OX1 3RB, UK.ORCID http://orcid.org/0000-0002-1309-7716
Xavier RaynaudSorbonne Université, Université Paris Cité, UPEC, IRD, CNRS, INRA, Institute of Ecology and Environmental Sciences, iEES Paris, Paris, France.
Peter B ReichInstitute for Global Change Biology, and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-4424-662X
Alexandra J WrightDepartment of Biological Sciences, California State University Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5205-8576
Carlos A ArnillasDepartment of Physical and Environmental Sciences, University of Toronto at Scarborough, Toronto, 1265 Military Trail, ON, M1C 1A4, Canada.
Kendi F DaviesDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.
Andrew MacDougallDepartment of Integrative Biology, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
Akira S MoriResearch Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro, Tokyo, 153-8904, Japan.ORCID http://orcid.org/0000-0002-8422-1198
Melinda D SmithDepartment of Biology, Colorado State University, Fort Collins, CO, 80523, USA.ORCID http://orcid.org/0000-0003-4920-6985
Peter B AdlerDepartment of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, 84322, USA.ORCID http://orcid.org/0000-0002-4216-4009
Jonathan D BakkerSchool of Environmental and Forest Sciences, University of Washington, Box 354115, Seattle, WA, 98195-4115, USA.ORCID http://orcid.org/0000-0002-8973-2771
Kate A BraumanGlobal Water Security Center, The University of Alabama, Box 870206, Tuscaloosa, AL, 35487, US.ORCID http://orcid.org/0000-0002-8099-285X
Jane CowlesDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, 55108, USA.ORCID http://orcid.org/0000-0002-6754-9669
Kimberly KomatsuSmithsonian Environmental Research Center, Edgewater, MD, 21037, USA.ORCID http://orcid.org/0000-0001-7056-4547
Johannes M H KnopsDepartment of Health and Environmental Sciences, Xián Jiaotong-Liverpool University, Suzhou, China.
Rebecca L McCulleyDepartment of Plant and Soil Sciences, University of Kentucky, Lexington, KY, 40546-0312, USA.ORCID http://orcid.org/0000-0002-2393-0599
Joslin L MooreSchool of Biological Sciences, Monash University, Clayton, VIC, 3800, Australia.ORCID http://orcid.org/0000-0001-9809-5092
John W MorganDepartment of Ecology, Environment and Evolution, La Trobe University, Bundoora, VIC, 3086, Australia.
Timothy OhlertDepartment of Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Sally A PowerHawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia.ORCID http://orcid.org/0000-0002-2723-8671
Lauren L SullivanDepartment of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA.
Carly StevensLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.ORCID http://orcid.org/0000-0002-2390-1763
Michel LoreauTheoretical and Experimental Ecology Station, CNRS, 09200, Moulis, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Causal effects of biodiversity on ecosystem functions can be estimated using experimental or observational designs - designs that pose a tradeoff between drawing credible causal inferences from correlations and drawing generalizable inferences. Here, we develop a design that reduces this tradeoff and revisits the question of how plant species diversity affects productivity. Our design leverages longitudinal data from 43 grasslands in 11 countries and approaches borrowed from fields outside of ecology to draw causal inferences from observational data. Contrary to many prior studies, we estimate that increases in plot-level species richness caused productivity to decline: a 10% increase in richness decreased productivity by 2.4%, 95% CI [-4.1, -0.74]. This contradiction stems from two sources. First, prior observational studies incompletely control for confounding factors. Second, most experiments plant fewer rare and non-native species than exist in nature. Although increases in native, dominant species increased productivity, increases in rare and non-native species decreased productivity, making the average effect negative in our study. By reducing the tradeoff between experimental and observational designs, our study demonstrates how observational studies can complement prior ecological experiments and inform future ones.

Indexed as

BiodiversityEcosystemBiomassCausalityPlants

Identifiers

PMID37147282
PMCPMC10163230

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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.