Evidence map›Paper›PMID 33139920›Full record

ArticleNature ecology & evolution2021

Remote spectral detection of biodiversity effects on forest biomass.

Laura J Williams, Jeannine Cavender-Bares, Philip A Townsend, John J Couture, Zhihui Wang, Artur Stefanski, Christian Messier, Peter B Reich

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Forest biodiversity increases productivity via complementarity from greater canopy structural complexity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Article
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  10. Article
  11. Review
  12. Article
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  15. 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

8 authors.

Laura J WilliamsDepartment of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, USA. will3972@umn.edu.ORCID http://orcid.org/0000-0003-3555-4778
Jeannine Cavender-BaresDepartment of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, USA. cavender@umn.edu.ORCID http://orcid.org/0000-0003-3375-9630
Philip A TownsendDepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-7003-8774
John J CoutureDepartment of Entomology, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0003-4784-4537
Zhihui WangDepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0003-1064-7820
Artur StefanskiDepartment of Forest Resources, University of Minnesota, St Paul, MN, USA.ORCID http://orcid.org/0000-0002-5412-1014
Christian MessierCentre for Forest Research, Université du Québec à Montréal, Montréal, Quebec, Canada.
Peter B ReichDepartment of Forest Resources, University of Minnesota, St Paul, MN, USA.ORCID http://orcid.org/0000-0003-4424-662X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying how biodiversity affects ecosystem functions through time over large spatial extents is needed for meeting global biodiversity goals yet is infeasible with field-based approaches alone. Imaging spectroscopy is a tool with potential to help address this challenge. Here, we demonstrate a spectral approach to assess biodiversity effects in young forests that provides insight into its underlying drivers. Using airborne imaging of a tree-diversity experiment, spectral differences among stands enabled us to quantify net biodiversity effects on stem biomass and canopy nitrogen. By subsequently partitioning these effects, we reveal how distinct processes contribute to diversity-induced differences in stand-level spectra, chemistry and biomass. Across stands, biomass overyielding was best explained by species with greater leaf nitrogen dominating upper canopies in mixtures, rather than intraspecific shifts in canopy structure or chemistry. Remote imaging spectroscopy may help to detect the form and drivers of biodiversity-ecosystem function relationships across space and time, advancing the capacity to monitor and manage Earth's ecosystems.

Indexed as

EcosystemForestsBiodiversityBiomassTrees

Identifiers

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.