Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10992 - 10992

Published: Dec. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Language: Английский

Construction of ecological security pattern of arid area based on landscape ecological risk assessment: a case study of the Wu-Chang-Shi urban agglomeration DOI

Jiayi Du,

Бо Лю,

Mengyao Jing

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(33), P. 45622 - 45635

Published: July 6, 2024

Language: Английский

Citations

1

The contribution of multi-objective land use optimization to reducing ecological risk: A case study of the Lanzhou-Xining urban agglomeration DOI Creative Commons

Shunjie Xin,

Zhongguo Li, Ning Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 168, P. 112604 - 112604

Published: Oct. 30, 2024

Language: Английский

Citations

1

A novel framework of ecological risk management for urban development in ecologically fragile regions: A case study of Turpan City, China DOI
Haocheng Li, Junfeng Li,

Wenying Qu

et al.

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(11), P. 1604 - 1632

Published: Nov. 1, 2024

Language: Английский

Citations

1

Spatio-Temporal Evolution Analysis of Land Use Change and Landscape Ecological Risks in Rapidly Urbanizing Areas Based on Multi-Situation Simulation - a Case Study of Chengdu Plain DOI

Yali Wei,

Peiyun Zhou,

Luoqi Zhang

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0

Temporal and spatial analysis of coastal landscape patterns using the GEE cloud platform and Landsat time-series DOI Creative Commons
Chao Chen, Jintao Liang,

Taohua Ren

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 18379 - 18398

Published: Jan. 1, 2024

Language: Английский

Citations

0

Assessment and multi-scenario simulation of ecosystem service values in Southwest China’s mountainous and hilly region DOI Creative Commons
Bing Zhu, Yan Yang,

Yu Meng

et al.

Open Agriculture, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The southwestern mountainous and hilly regions of China are vital ecological barriers upstream the Yangtze River. Assessing simulating changes in ecosystem service value (ESV) this area is essential for ensuring sustainable development. In study, our purpose was to evaluate simulate spatial patterns as well trends shown by ESV Yanting County, China, from 2020 2030 via a grid-scale using equivalent factor method Markov–patch-generating land use simulation model. results indicated that (1) 2030, forest, cultivated, construction lands would be main types use. (2) projected ESVs County under as-usual, low-carbon, shared development scenarios were 5.31, 5.30, 4.99 billion RMB, respectively. Compared as-usual scenario low-carbon increased. decreased. It reflects contra-diction between urbanization, industrialization, agricultural production, protection County. distribution all three showed an agglomeration trend. (3) Given background national food security carbon peaking neutrality, setting combined with appears more suitable future which conducive rational planning land-use sci-entific growth This study underscores critical importance integrating management, provides reference resources, planning, policy-making

Language: Английский

Citations

0

Study on Changes in Comprehensive Land Prices for Expropriation Zones Based on Land Use Changes DOI Open Access
Dong Xu, Xinming Dong, Fang Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10267 - 10267

Published: Nov. 23, 2024

Comprehensive land prices for expropriation zones can effectively alleviate many conflicts in China’s practices. This contributes to achieving sustainable development goals such as “SDG-10: Reduced Inequalities” and “ SDG-11: Sustainable Cities Communities”. The reasonable delineation of scientific calculation zone have become crucial. study used the Cangzhou urban area Hebei Province, China, a case study. By integrating CA–Markov model, multiple linear regression coupling coordination degree relative GIS spatial analysis techniques, deeply analyzed spatiotemporal relationship between use comprehensive from 2009 2021. Furthermore, it simulated forecasted changes use, zones, 2027. yielded following conclusions: (1) reflected economic value, resource condition location shifts, which formed an interactive feedback mechanism with price zones. (2) Land impacted distribution through characteristics construction land, recent central primarily extending east southeast due planning policies related construction. (3) developmental gradually develop good direction. A is observed among condition, concerning price. Based on this, predicted adjustment ranges high low 2027 will be 2.6400 2.7210, 2.1900 2.2537, 1.8300 1.9306 million CNY/hectare. provides new method studying supporting decision making.

Language: Английский

Citations

0

Risk Evolution Analysis of Cross-Regional Water Diversion Projects Based on Spatio-Temporal Knowledge Graphs DOI
Wang Li-hu,

Xuemei Liu,

Yi Dong

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 650, P. 132533 - 132533

Published: Dec. 16, 2024

Language: Английский

Citations

0

Evolution and Predictive Analysis of Spatiotemporal Patterns of Habitat Quality in the Turpan–Hami Basin DOI Creative Commons
Yaqian Li, Yongqiang Liu, Yan Qin

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2186 - 2186

Published: Dec. 14, 2024

The expansion of urban areas and unsustainable land use associated with human activities have brought about a decline in habitat quality (HQ), especially arid regions fragile ecosystems. A precise prediction changes across different scenarios is crucial for the sustainable maintenance ecological diversity. In this article, InVEST model was employed to assess both degradation levels habitats Turpan–Hami Basin (THB) spanning 1990~2020. Additionally, InVEST-PLUS coupling forecast conditions under three 2050. Specifically, it involved comparison spatial distribution HQ natural development (ND) scenarios, town (UD) protection (EP) along analysis hot spots 1990~2050. outcomes revealed following: (1) primary THB categorized as unused land, alongside notable expansions cultivated grassland, built-up land. Conversely, there considerable observed forests, water bodies, (2) within exhibited evident clustering characteristics. Between 1990 2020, low accounted over 85%, unchanged constituted 88.19%, experiencing deteriorated comprised approximately 5.02%, displaying improved encompassed around 6.79%. (3) Through ND, UD, EP 2050, that average scenario ranked highest, exhibiting lowest degree on average. This indicates most advantageous preserving HQ. Conclusively, research provides valuable viewpoints making decisions aimed at enhancing ecologically regions.

Language: Английский

Citations

0

Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10992 - 10992

Published: Dec. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Language: Английский

Citations

0