Evidence map›Paper›PMID 36981744›Full record

ArticleInternational journal of environmental research and public health2023

Scenario Simulation of the Relationship between Land-Use Changes and Ecosystem Carbon Storage: A Case Study in Dongting Lake Basin, China.

Wenqiang Zhou, Jinlong Wang, Yu Han, Ling Yang, Huafei Que, Rong Wang

Full text read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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

6 authors.

Wenqiang ZhouCollege of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.ORCID 0000-0002-9229-6050
Jinlong WangCollege of Business, Central South University of Forestry and Technology, Changsha 410004, China.
Yu HanCollege of Economics and Management, Southwest University, Chongqing 400715, China.
Ling YangCollege of Business, Central South University of Forestry and Technology, Changsha 410004, China.
Huafei QueHunan Sports Vacational College, Changsha 410019, China.
Rong WangCollege of Fumiture and Art Design, Central South University of Forestry and Technology, Changsha 410004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-frequency land-use changes caused by rapid economic development have become a key factor in the imbalance of carbon sequestration within regions. How to balance economic development and ecological protection is a difficult issue for regional planning. Studying the relationship between future land-use changes and ecosystem carbon storage (CS) is of important significance for the optimization of regional land-use patterns. The research used the gray prediction model and coupled the patch-generating land-use simulation (PLUS) model and the integrated valuation of ecosystem services and trade-offs (InVEST) model. On this basis, the evolution characteristics and spatial coordination between land-use changes and CS in the Dongting Lake Basin (DLB) in different scenarios in 2030 were simulated. The results show that: (1) The spatial distribution of CS remains stable in different scenarios, while land-use types with high carbon density in the periphery of cities are constantly invaded by construction land, which results in the greatest carbon loss in the urban areas. (2) Compared with the natural evolution scenario (NES), only 195.19 km

Indexed as

EcosystemLakesCarbonChinaConservation of Natural ResourcesCarboncarbon storageDongting Lake Basingray predictionland-use changePLUS model

Identifiers

PMID36981744
PMCPMC10049160

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read48
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.