Evidence map›Paper›PMID 38653741›Full record

ArticleScientific reports2024

County land use carbon emission and scenario prediction in Mianyang Science and Technology City New District, Sichuan Province, China.

Tianyi Wei, Bin Yang, Guangyu Wang, Kun Yang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Tianyi WeiSchool of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China.
Bin YangSchool of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China. xjgis@126.com.
Guangyu WangSchool of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China.
Kun YangSchool of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China.

Funding

National Natural Science Foundation of China 41201541
6 · The paper itself

Abstract

The role of carbon emissions resulting from land use change in the compilation of national greenhouse gas emission inventories is of paramount significance. This study is centered on the Mianyang Science and Technology City New Area located in Sichuan Province, China. We used the CLUE-S model and Sentinel-2A remote sensing data from 2017 to simulate and validate land use changes in 2022. Based on this validation, we established three simulation scenarios: a baseline scenario, an agricultural development scenario, and a construction development scenario. Using remote sensing data from 2022, we projected the land use for 2030. We also used CO

Indexed as

Carbon emissionCLUE-S modelLand usePlanning scenarios

Identifiers

PMID38653741
PMCPMC11039458

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.