ArticleCarbon balance and management2025
Multi-scenario simulation and spatial optimization of carbon storage in developed regions from a carbon neutrality perspective.
Article in Carbon balance and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Article
- Optimized functional zoning based on land use carbon emissions and carbon balance: a case study in Shaanxi Province, China.Carbon balance and management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Optimizing the spatial pattern of its carbon storage is of great significance for increasing the carbon storage capacity of regional ecosystem and maintaining regional carbon balance. Although the existing research has achieved remarkable results in regional carbon storage assessment and multi-scenario simulation studies, there are still obvious deficiencies in determining specific carbon storage optimization areas for developed regions and formulating targeted low-carbon development strategies. Taking the economically developed Jiangsu section of the Yangtze River Basin (JS-YRB) as an example, combined with InVEST and PLUS models, the carbon storage and its spatial distribution pattern of the study area in 2030 were predicted under three different scenarios: natural development, cropland protection and ecological protection. The pattern of carbon storage in the study area was optimized by a Bayesian belief network (BBN) with decision optimization ability. The results showed that: (1) From 2000 to 2020, the carbon storage in the study area exhibited a decreasing trend, with a total reduction of 47.98 × 10
Indexed as
Identifiers
What Socratic 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 Socratic graph.