Evidence map›Paper›PMID 37346144›Full record

ArticleFrontiers in plant science2023

Evaluation of typical ecosystem services in Dabie Mountain area and its application in improving residents' well-being.

Muyi Huang, Guozhao Zhang, Qilong Wang, Qi Yin, Jizhong Wang, Weihua Li, Shaoru Feng, Qiaojun Ke, Qin Guo

Abstract read
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Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Muyi HuangSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui, China.
Guozhao ZhangSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui, China.
Qilong WangCollege of Management, Sichuan Agricultural University, Chengdu, Sichuan, China.
Qi YinCollege of Management, Sichuan Agricultural University, Chengdu, Sichuan, China.
Jizhong WangGuangzhou (GRG) Metrology & Test (Hefei) CO., Ltd, Hefei, Anhui, China.
Weihua LiSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui, China.
Shaoru FengSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui, China.
Qiaojun KeSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui, China.
Qin GuoSchool of Architecture and Urban Planning, Anhui Jianzhu University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on ecosystem services and residents' well-being in old revolutionary base areas is an important task for China's ecological civilization construction and rural revitalization. Taking Jinzhai County, the core area of Dabie Mountains, China, as an example, based on InVEST model, the methods of spatial autocorrelation and coupling coordinated development degree, the spatiotemporal evolution, spatial heterogeneity and coupling association patterns of ecosystem services and multidimensional well-being in the study area from 2005 to 2020 were discussed. The major results are: In the past 15 years, in the core area of the Dabie Mountains, ecosystem services such as food supply, soil retention and water yield showed an upward trend, carbon sequestration and biodiversity maintenance showed a downward trend. The comprehensive index of multidimensional well-being in the core area of Dabie Mountain increased by 27.23% and the spatial difference in multidimensional well-being is gradually narrowing. By the analysis of coupling coordination, the number of units with the type of coupling disharmony between ecosystem services and multidimensional well-being in the study area decreased significantly from 56.85% in 2005 to 26.81% in 2020, respectively. The analysis of geographical detection showed that the habitat quality factor was the dominant controlling factor of coupling coordination spatial difference. By bivariate spatial autocorrelation analysis, in the past 15 years, the number of units with the "high ecology-high well-being" synergy type increased from 5.44% to 13.31%. The results can provide a reference for accurate identification, optimal regulation and synergistic improvement between ecosystem services and relative poverty in the Dabie Mountain area.

Indexed as

coupling coordinated development degreeDabie Mountain areaecosystem servicesgeographical detectormultidimensional well-being

Identifiers

PMID37346144
PMCPMC10279887

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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.