Evidence map›Paper›PMID 40133545›Full record

ArticleScientific reports2025

Carbon neutral spatial zoning and optimization based on land use carbon emission in the qinba mountain region, China.

Jingeng Huo, Zhenqin Shi, Wenbo Zhu, Yanhui Yan, Hua Xue

Abstract read
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

5 authors.

Jingeng HuoCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
Zhenqin ShiCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, China. shizq@vip.henu.edu.cn.
Wenbo ZhuCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
Yanhui YanCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
Hua XueCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.

Funding

Young Scientists Fund of the National Natural Science Foundation of China 42201110Youth Project of Henan Provincial Natural Science Foundation 232300420433
6 · The paper itself

Abstract

Amid global climate change, the pursuit of low-carbon development has become a unified international goal. The Qinba Mountain region plays an important role in maintaining China's ecological security, making spatial zoning tailored for carbon neutrality vital for local sustainable development. Using land use and socioeconomic data from 2000 to 2020 for 81 county-level units, a carbon neutral spatial zoning framework was developed, considering natural, economic, ecological and land resource factors. This study further integrated spatiotemporal dynamics of carbon index and multi-scenario predictions of future carbon emission (CE) for spatial zoning. The results revealed that the region had an overall positive net-carbon emission trend without significant ecological deficits, the central region faced increased CE and the northern region had weak ecological carrying capacity. The predicted future CE continued to decrease under low-carbon scenario and reached 30.55 million t by 2060, with only nine units failing to reach their carbon peaking by 2030. Five different zones were identified: carbon sink functional zone, low-carbon development zone, net-carbon stabilization zone, high-carbon control zone and carbon source optimization zone. Tailored optimization strategies for each zone were proposed to enhance regional ecological environment and contribute to green development. These findings offer insights into achieving carbon neutrality and sustainable development for regions or cities.

Indexed as

Carbon neutralityCarbon predictionLand useQinba mountain regionSpatial zoningSTIRPAT model

Identifiers

PMID40133545
PMCPMC11937395

What OpenQuestion holds

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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.