Evidence map›Paper›PMID 40442224›Full record

ArticleScientific reports2025

Spatio-temporal evolution and coupling relationship between biodiversity and urbanization in the areas along the Yellow River of Shandong province.

Yingjun Sun, Wenxue Meng, Fang Wang, Haifeng Han, Mingxin Sui, Zhen Jian

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingjun SunCollege of Surveying and Mapping Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.
Wenxue MengCollege of Surveying and Mapping Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.
Fang WangCollege of Surveying and Mapping Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China. wangfang22@sdjzu.edu.cn.
Haifeng HanShandong Provincial Institute of Land Surveying and Mapping, Jinan, 250000, China.
Mingxin SuiCollege of Surveying and Mapping Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.
Zhen JianCollege of Surveying and Mapping Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.

Funding

cultivation platform for integrating production, science, and education jointly built by Shandong Province and Peking University 20221830National Natural Science Fund of China 42301320
6 · The paper itself

Abstract

Mastering the coupling relationship and driving mechanism between urbanization and biodiversity is of great significance to ecological protection and regional sustainable development. The study took areas along the Yellow River of Shandong province (AYRSP) as the study area, which have the most rich and unique biodiversity resources in the whole basin. First, this study constructed a new indicator system of biodiversity based on remote-sensing data from species, ecosystem, and landscape to monitor and evaluate the spatial heterogeneity. The result was quantified by the proportion of key biodiversity areas, based on Sustainable Development Goal 15.1.2 from The United Nations. Then, the urbanization system was evaluated based on panel data. At last, the coordination relationship, lead-lag type between biodiversity and urbanization, and key influencing factors of coupling system at the county scale in 2015-2021 were identified by combining multiple models. The results demonstrated that the biodiversity level was gradually declining, with a distribution pattern of "low in the western, and high in mid-southern and eastern regions." The AYRSP still faced certain challenges in the sustainable development of biodiversity. The coupling coordination degree between biodiversity and urbanization showed an increasing trend with continuous improvement in the urbanization level. Only two counties were types of biodiversity-urbanization synchronous development. The results of grey relation degree model indicated that most of indicators were above 0.6 and the urbanization had a significant impact on the coupling system. This study established the evaluation system for biodiversity and urbanization at the small scale, which could provide theoretical reference for the sustainable development of county-level administrative region.

Indexed as

BiodiversityRiversUrbanizationChinaConservation of Natural ResourcesEcosystemSpatio-Temporal AnalysisSustainable DevelopmentAreas along the Yellow River of Shandong provinceBiodiversityCoupling coordinationInVEST modelSDGsUrbanization

Identifiers

PMID40442224
PMCPMC12122715

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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.