Evidence map›Paper›PMID 41254055›Full record

ArticleScientific reports2025

Trend and drivers of forest biomass change in the Greater Bay Area of China from 2000 to 2022.

Woheng Li, Kunlun Xiang, Jing Xie, Haicheng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

4 authors.

Woheng LiSchool of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510006, China.
Kunlun XiangGuangdong Ecological Meteorological Centre, Guangzhou, 510640, China.
Jing XieSchool of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510006, China.
Haicheng ZhangSchool of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510006, China. zhanghch59@mail.sysu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2020A1515110423China Meteorological Administration Eco-Environment and Meteorology for The Qinling Mountains and Loess Plateau Key Laboratory 2024Y-15the Basic and Applied Foundation Projects SL2023A04J00997the Fundamental Research Funds for the Central Universities, Sun Yat-sen University No. 31610004the Science and Technology Planning Project of Guangdong Province 2023B1212060019
6 · The paper itself

Abstract

Forests store a substantial amount of organic carbon in living biomass and contribute the most to the global terrestrial carbon sink among all vegetation types. Nonetheless, the spatiotemporal variations in and drivers of forest biomass dynamics remain uncertain, especially in regions with strong human disturbances. In this study, we investigated the trends and drivers of forest biomass change in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2000 to 2022 by constructing a remote sensing-based forest biomass model using the forest inventory data in the GBA. Our results indicate the forest biomass model effectively captures (R

Indexed as

BiomassForestsTreesBaysChinaClimate ChangeClimate changeForest biomassGuangdong–Hong Kong–Macao Greater Bay AreaLand use changeRemote sensing

Identifiers

PMID41254055
PMCPMC12627500

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.