Evidence map›Paper›PMID 39578486›Full record

ArticleScientific data2024

Global planted forest data for timber species.

Sarah B Richardson, Lauralee An, Sarah E Pollack, Hemalatha Velappan, Ruth Nogueron, Jessica Richter, Shelley L Gardner, Karen L Williams, John C Hermanson, Elizabeth Dow Goldman and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Sarah B RichardsonWorld Resources Institute, Washington, DC, 20002, USA. richardson.sarahbaker@gmail.com.
Lauralee AnUS Department of Agriculture, Animal and Plant Health Inspection Service, Riverdale, MD, 20737, USA.
Sarah E PollackCenter for Quantitative Science, University of Washington, Seattle, WA, 98195, USA.
Hemalatha VelappanSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0001-5735-4086
Ruth NogueronWorld Resources Institute, Washington, DC, 20002, USA.
Jessica RichterWorld Resources Institute, Washington, DC, 20002, USA.ORCID 0009-0002-5999-2174
Shelley L GardnerUS Department of Agriculture, Forest Service, International Programs, Washington, DC, 20005, USA.
Karen L WilliamsUS Department of Agriculture, Animal and Plant Health Inspection Service, Riverdale, MD, 20737, USA.
John C HermansonSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, 98195, USA.
Elizabeth Dow GoldmanWorld Resources Institute, Washington, DC, 20002, USA.
Suzanne M PeyerSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA, 98195, USA. smpeyer@uw.edu.ORCID 0000-0002-2142-8597

Funding

U.S. Department of Agriculture (United States Department of Agriculture) 20-DG-11132762-228U.S. Department of Agriculture (United States Department of Agriculture) 22-CA-11132762-413
6 · The paper itself

Abstract

Discerning whether certain timber species were harvested from natural forests versus often less restricted planted forests can help ascertain the legality of wood products that enter the global market. However, readily available global planted forest data to the species level have been scarce. We confronted the need for such data by developing a two-pronged dataset, consisting of 'polygon' and 'non-polygon' location-based data, collectively, Planted Forest Timber Data. We obtained the polygon data from the World Resources Institute's Spatial Database of Planted Trees v2.0, extracting data specific to traded timber species. We derived the non-polygon data from peer-reviewed literature and government documents. The polygon dataset encompasses 27 countries and 253 species and the non-polygon dataset spans 91 countries and 447 species. We envision that the more these two living datasets grow, the more they will mutually benefit from one another for data cross-validation. This assembled information is meant to equip global leaders in forest governance, policy, enforcement, and research with vetted data for promoting legal timber trade and protecting biodiversity.

Indexed as

BiodiversityConservation of Natural ResourcesForestsForestryTrees

Identifiers

PMID39578486
PMCPMC11584855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.