Evidence map›Paper›PMID 41312293›Full record

ArticleBioscience2025

Integrating belowground recovery into tropical forest restoration design and monitoring.

Laura Toro, Leland K Werden, Shalom D Addo-Danso, Kelly M Andersen, Sarah Batterman, Matilde M Bragadini, Pooja Choksi, Rebecca J Cole, Liza S Comita, Daniela Cusack and 14 more

Abstract read
In one paragraph

Article in Bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Laura ToroCenter for Conservation and Sustainable Development, Missouri Botanical Garden, St. Louis, Missouri, Yale Center for Natural Carbon Capture, School of the Environment, Yale University, New Haven, Connecticut, United States.ORCID https://orcid.org/0000-0002-0550-3294
Leland K WerdenETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-3579-4352
Shalom D Addo-DansoForest and Climate Change Division of the Forestry Research Institute of Ghana, Fumesua, Ghana.
Kelly M AndersenLatin America Division of the Missouri Botanical Garden, St. Louis, Missouri, Asian School of the Environment, Nanyang Technological University, Singapore.
Sarah BattermanCary Institute of Ecosystem Studies, Millbrook, New York, United States.
Matilde M BragadiniETH Zurich, Zurich, Switzerland.
Pooja ChoksiDepartment of Forest Resources, University of Minnesota Twin Cities, St. Paul, Minnesota, United States.
Rebecca J ColeETH Zurich, Zurich, Switzerland.
Liza S ComitaSchool of the Environment, Yale Center for Natural Carbon Capture, Yale University, New Haven, Connecticut, United States.
Daniela CusackDepartment of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, Colorado, United States.
Daisy H DentETH Zurich, Zurich, Switzerland.
Lee H DietterichDepartment of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, Colorado, and with Haverford College, Haverford, Pennsylvania, United States.
Joshua B FisherChapman University System, Orange, California, United States.
Katrin FleischerVrije Universiteit Amsterdam, Amsterdam, Netherlands.
Lucia FuchsluegerUniversity of Vienna, Vienna, Austria.
Nohemi Huanca-NunezSchool of the Environment, Yale Institute for Biospheric Studies, Yale University, New Haven, Connecticut, United States.
Janey R LienauSchool of the Environment, Yale University, New Haven, Connecticut, United States.
Lindsay A McCullochUniversity of South Florida, Tampa, Florida, United States.
Ember M MorrisseyDepartment of Biology, West Virginia University, Morgantown, West Virginia, United States.
Jennifer S PowersDepartment of Plant Biology, University of Minnesota Twin Cities, St. Paul, Minnesota, United States.
Mareli Sánchez-JuliáDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States.
Oscar Valverde-BarrantesFlorida International University, Miami, Florida, United States.
Anita WeissflogSchool of the Environment, Yale Institute for Biospheric Studies, Yale University, New Haven, Connecticut, United States.
Michelle Y WongDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing recognition that tropical forest restoration is key for sequestering carbon and enhancing ecosystem resilience. Soils, roots, and soil biota are central to ecosystem function and services, but belowground recovery is largely overlooked in restoration monitoring frameworks. Here, we outline current understanding of the links between above- and belowground recovery in tropical forests by examining how belowground properties before and after intervention influence recovery; by evaluating whether aboveground recovery can serve as a proxy for belowground dynamics; and by proposing a blueprint for monitoring dynamic soil physical (bulk density, aggregate stability), chemical (organic matter or carbon, pH), and biological properties (decomposition rate, macrofauna abundance) in resource-constrained projects. Although we highlight some aboveground proxies for assessing belowground recovery, a better understanding of relationships between above- and belowground indicators across diverse restoration interventions remains essential. Overall, we provide an actionable path toward integrating belowground recovery into restoration design and assessment.

Indexed as

ecosystem recoveryedaphic propertiesindicatorsmonitoring frameworkssoil

Identifiers

PMID41312293
PMCPMC12650528

What OpenQuestion holds

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LicenceCC BY
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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.