Evidence map›Paper›PMID 37481639›Full record

ArticleScientific data2023

Spatial database of planted forests in East Asia.

Akane O Abbasi, Xiaolu Tang, Nancy L Harris, Elizabeth D Goldman, Javier G P Gamarra, Martin Herold, Hyun Seok Kim, Weixue Luo, Carlos Alberto Silva, Nadezhda M Tchebakova and 7 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

17 authors.

Akane O Abbasi *Forest Advanced Computing and Artificial Intelligence (FACAI) Lab, Department of Forestry and Natural Resources, Purdue University, 715 W State St., West Lafayette, IN, 47907, USA.ORCID 0000-0003-1111-8752
Xiaolu Tang *State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Dongsanlu, Erxianqiao, Chengdu, 610059, Sichuan, P.R. China.ORCID 0000-0001-5079-7650
Nancy L HarrisWorld Resources Institute, 10 G Street N.E., Washington, DC, 20002, USA.ORCID 0000-0001-6661-4249
Elizabeth D GoldmanWorld Resources Institute, 10 G Street N.E., Washington, DC, 20002, USA.
Javier G P GamarraNational Forest Monitoring (NFM) Team, Forestry Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153, Rome, Italy.
Martin HeroldHelmholtz Center Potsdam GFZ German Research Centre for Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam, 14473, Germany.
Hyun Seok KimDepartment of Agriculture, Forestry, and Bioresources, Seoul National University, Seoul, 08826, Republic of Korea.
Weixue LuoResearch Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, 100107, P.R. China.
Carlos Alberto SilvaForest Biometrics, Remote Sensing and Artificial Intelligence Lab (Silvalab), School of Forest, Fisheries, and Geomatics Sciences, University of Florida, 342 Newins-Ziegler Hall, Gainesville, FL, 32611, USA.
Nadezhda M TchebakovaSukachev Forest Institute, FRC KNC, Siberian Branch, Russian Academy of Sciences, Academgorodok, 50/28, Krasnoyarsk, 660036, Russia.
Ankita MitraForest Advanced Computing and Artificial Intelligence (FACAI) Lab, Department of Forestry and Natural Resources, Purdue University, 715 W State St., West Lafayette, IN, 47907, USA.
Yelena FinegoldNational Forest Monitoring (NFM) Team, Forestry Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153, Rome, Italy.
Mohammad Reza JahanshahiLyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN, 47907, USA.
Cesar Ivan AlvarezEnvironmental Research Group for Sustainable Development (GIADES), Salesian Polytechnic University, Rumichaca y Moran Valverde, Quito, EC, 170702, Ecuador.ORCID 0000-0001-5629-0893
Tae Kyung KimDepartment of Agriculture, Forestry, and Bioresources, Seoul National University, Seoul, 08826, Republic of Korea.
Daun RyuInterdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, 08826, Republic of Korea.
Jingjing LiangForest Advanced Computing and Artificial Intelligence (FACAI) Lab, Department of Forestry and Natural Resources, Purdue University, 715 W State St., West Lafayette, IN, 47907, USA. albeca.liang@gmail.com.ORCID 0000-0001-9439-9320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Planted forests are critical to climate change mitigation and constitute a major supplier of timber/non-timber products and other ecosystem services. Globally, approximately 36% of planted forest area is located in East Asia. However, reliable records of the geographic distribution and tree species composition of these planted forests remain very limited. Here, based on extensive in situ and remote sensing data, as well as an ensemble modeling approach, we present the first spatial database of planted forests for East Asia, which consists of maps of the geographic distribution of planted forests and associated dominant tree genera. Of the predicted planted forest areas in East Asia (948,863 km

Identifiers

PMID37481639
PMCPMC10363164

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LicenceCC BY
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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.