Evidence map›Paper›PMID 39080330›Full record

ArticleScientific reports2024

Coordination analysis and evaluation of population, water resources, economy, and ecosystem coupling in the Tuha region of China.

Shaojie Bai, Abudukeyimu Abulizi, Yusuyunjiang Mamitimin, Junxia Wang, Le Yuan, Xiaofen Zhang, Tingting Yu, Adila Akbar, Fang Shen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Shaojie BaiCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Abudukeyimu AbuliziCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China. keyimabliz@xju.edu.cn.
Yusuyunjiang MamitiminCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Junxia WangCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Le YuanCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Xiaofen ZhangCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Tingting YuCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Adila AkbarCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.
Fang ShenCollege of Geography and Remote Sensing Sciences, Xinjiang University, Ürümqi, 830046, China.

Funding

The Third Xinjiang Scientific Expedition Program 2022xjkk1100
6 · The paper itself

Abstract

The non-coordination between the socio-economic systems and ecosystems of a region is a crucial obstacle to sustainable development. To reveal the relationships between complex urban systems and achieve the goal of sustainable and coordinated urban development, we constructed a coupling coordination degree model (CCDM) and coupling angle model (CAM) and analyzed the degree of coupling coordination and evolution process among the population, water resources, economy, and ecology (PWEE) system of the Tuha region for 2005-2020. The results indicated that: (1) During 2005-2020, the comprehensive development index (CDI) of the population, water resources and economy subsystems was 0.21-0.65, with the three subsystems portraying an overall increase; the average values of the RSEI at five-year intervals were 0.29, 0.28, 0.28, and 0.26, indicating a downward trend in the environmental quality. (2) The coupling coordination effect of the PWEE system portrayed a low level; the coupling coordination degree (CCD) values were 0.28-0.58, portraying a fluctuating upward trend. The level of CCD increased from low disorder to marginal coordination. (3) The PWEE system's scissor difference reflects large evolutionary characteristics. The ecological support capacity was not observed until the late stage. We conclude that the PWEE composite system of the region is in a stage of disordered development. These findings significantly bolster the theoretical underpinnings of sustainable development studies, offering essential scientific theories and methodological frameworks for crafting sustainable development policies tailored to urban systems in the Tuha region.

Indexed as

Coupling coordination degree model (CCDM)Google earth engine (GEE)Population-water resources-economy-and ecosystem (PWEE systems)Remote sensing ecological index (RSEI)Sustainable management

Identifiers

PMID39080330
PMCPMC11289126

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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.