Evidence map›Paper›PMID 39937812›Full record

ArticlePloS one2025

Analysis and early warning management of resource and environmental carrying capacity in agricultural provinces: A case study of Henan Province.

Weidong Chen, Meng Lian

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Weidong ChenTianjin University School of Economics and Management, Tianjin, China.
Meng LianTianjin University School of Economics and Management, Tianjin, China.ORCID https://orcid.org/0009-0002-8307-4074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resources and Environmental Carrying Capacity (RECC) is a comprehensive concept that encompasses the interactions between resources, the environment, and human activities, serving as the foundation for social development strategies. To adequately reflect this complex relationship, a multi-level, multi-dimensional evaluation indicator system must be developed. This paper constructs a regional soil environmental evaluation system incorporating PM2.5 indicators, which is in line with relevant environmental protection policies and planning orientations in our country from 2014 to 2023. It analyzes the level and development trend of RECC in Henan Province and proposes measures for effective management. The results indicate the following: (1) The RECC in Henan Province demonstrates a downward trajectory, marked by temporary fluctuations over time. It hit its nadir in 2019, subsequently undergoing a gradual resurgence; (2) Analysis of individual dimension indicators reveals that the natural carrying capacity has declined from a medium to a relatively weaker level. Meanwhile, environmental carrying capacity has shown a slight downward trend but has generally remained stable. In contrast, socio-economic carrying capacity has demonstrated an upward trend, rising from a medium to a relatively strong level. In terms of early warning measures, it is essential to establish a red warning zone, implement a credit record accountability system, and develop a monitoring warning database along with an information technology platform. This paper demonstrates that the indicator system is effective for evaluating RECC across different dimensions and holds significant reference value for assessing RECC in similar regions.

Indexed as

AgricultureConservation of Natural ResourcesEnvironmental MonitoringChinaHumansSoilSoil

Identifiers

PMID39937812
PMCPMC11819571

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.