Evidence map›Paper›PMID 39687023›Full record

ArticleiScience2024

Assessment of carbon stocks and influencing factors in terrestrial ecosystems based on surface area.

Yang Wang, Min Wang, Jirong Zhang, Yingmei Wu, Yan Zhou

Abstract read
In one paragraph

Article in iScience, 2024. 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

5 authors.

Yang WangFaculty of Geography, Yunnan Normal University, Kunming 650500, China.
Min WangFaculty of Geography, Yunnan Normal University, Kunming 650500, China.
Jirong ZhangFaculty of Geography, Yunnan Normal University, Kunming 650500, China.
Yingmei WuFaculty of Geography, Yunnan Normal University, Kunming 650500, China.
Yan ZhouFaculty of Geography, Yunnan Normal University, Kunming 650500, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The topography of the border ecological barrier area in southern Yunnan is complex, and utilizing the vertically projected area to estimate carbon stocks may lead to significant errors. This study uses multisource data and multiple models to investigate the spatial and temporal variations in surface carbon stocks and the factors affecting them in the study area. Results show: The difference between the surface area and planar area in the study area is large, and the spatial and temporal changes of surface land use and carbon stock based on this are more significant, showing an inverted V-shape trend in time and a spatial distribution pattern of "high southeast, low northwest". NDVI and slope were the dominant factors. The results of this study provide a new surface-scale perspective for a deeper understanding of carbon stock and land-use planning in the mountainous region represented by the border ecological zone in southern Yunnan.

Indexed as

Earth sciencesEnvironmental managementEnvironmental scienceGlobal carbon cycleGlobal change

Identifiers

PMID39687023
PMCPMC11647217

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.