ArticleScientific reports2026
Exploring the spatiotemporal evolution and spatial correlation network characteristics of cultivated land carbon emissions in China.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
As a predominantly agrarian nation, cutting emissions from agriculture is essential to achieving its "dual carbon" targets. The primary source of agricultural production, cultivated land, has a major impact on the sector's total carbon emissions. However, the spatial correlation network features have received little attention in previous investigations, which have mostly concentrated on driving variables and emission measurements. Examining the spatial network characteristics of cultivated land carbon emissions (CLCE) provides a basis for promoting coordinated regional emission reduction. This study integrates the carbon emission coefficient method, standard deviational ellipse, ESDA, a modified gravity model, and social network analysis to reveal the spatiotemporal evolution and spatial network structure of CLCE in China from 2000 to 2023. The main findings of this study are as follows: (1) China's CLCE increased overall, with fluctuations, from 6028.83 × 10
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.