Evidence map›Paper›PMID 37801494›Full record

ArticleScience advances2023

Occurrence-based diversity estimation reveals macroecological and conservation knowledge gaps for global woody plants.

Buntarou Kusumoto, Anne Chao, Wolf L Eiserhardt, Jens-Christian Svenning, Takayuki Shiono, Yasuhiro Kubota

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.3field-weighted citation impact, top 3% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. General laws of biodiversity: Climatic niches predict plant range size and ecological dominance globally.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Effect of climate change onFrontiers in plant science · 2024
    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

6 authors at 4 institutions in 5 countries.

Buntarou KusumotoFaculty of Agriculture, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-5091-3575
Anne ChaoNational Tsing Hua University, Hsinchu, Taiwan.ORCID 0000-0002-4364-8101
Wolf L EiserhardtRoyal Botanic Gardens, Kew, UK.ORCID 0000-0002-8136-5233
Jens-Christian SvenningSection for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-3415-0862
Takayuki ShionoThink Nature Inc., Naha City, Japan.ORCID 0000-0001-7253-7956
Yasuhiro KubotaThink Nature Inc., Naha City, Japan.ORCID 0000-0002-5723-4962
Aarhus University · DKUniversity of the Ryukyus · JPKyushu University · JPNational Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incomplete sampling of species' geographic distributions has challenged biogeographers for many years to precisely quantify global-scale biodiversity patterns. After correcting for the spatial inequality of sample completeness, we generated a global species diversity map for woody angiosperms (82,974 species, 13,959,780 occurrence records). The standardized diversity estimated more pronounced latitudinal and longitudinal diversity gradients than the raw data and improved the spatial prediction of diversity based on environmental factors. We identified areas with potentially high species richness and rarity that are poorly explored, unprotected, and threatened by increasing human pressure: They are distributed mostly at low latitudes across central South America, Central Africa, subtropical China, and Indomalayan islands. These priority areas for botanical exploration can help to efficiently fill spatial knowledge gaps for better describing the status of biodiversity and improve the effectiveness of the protected area network for global woody plant conservation.

Indexed as

BiodiversityWoodChinaConservation of Natural ResourcesEcosystemHumansPlantsSouth America

Identifiers

PMID37801494
PMCPMC10558125
OpenAlexW4387397355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.