Study on the Dynamic Change of Land Use in Megacities and Its Impact on Ecosystem Services and Modeling Prediction DOI Open Access
Xinyu Yan, Muyi Huang,

Yuru Tang

и другие.

Sustainability, Год журнала: 2024, Номер 16(13), С. 5364 - 5364

Опубликована: Июнь 24, 2024

Under the background of rapid urbanization, strengthening research on response and dynamic mechanism ecosystem services to land use is conducive optimization space ecological restoration governance in megacities. Using Hefei City as a case study, we examined specific analyzed how water yield, habitat quality, carbon storage, soil conservation changed over time from 2000 2020. We utilized spatial information technology InVEST model assess these changes. Additionally, developed comprehensive service index (CES) used Geodetector regression models investigate responded use. In addition, Patch-generating Land Use Simulation Model (PLUS) simulate distribution 2030. This was performed under four different scenarios: natural development (ND), urban (UD), cultivated protection (CP), (EP). Furthermore, assessed effects land-use changes functions by integrating PLUS results with InVEST. The findings indicate following: (1) between 2020, farmland consistently remained dominant type while construction experienced significant growth. Land-use conversion prevalent during this period, each indicator exhibited noticeable geographic variation; (2) past 20 years, clear clustering patterns. types showed quantitative relationships CES. Specifically, land, forest grassland, area had positive correlations, negative correlation. analysis revealed that proportion greatest impact differentiation CES, followed population density; (3) according simulation, UD scenario grassland into leading decrease ND scenario, areas decreasing CES are mostly have been converted other land. contrast, EP shows an increase which promotes enhancement multiple simultaneously. indicates most favorable for sustainable development. study investigates evaluates sustainability regional both theoretical practical significance effectively managing regulating large cities.

Язык: Английский

Multi-scenario prediction of ecosystem services value and mechanism of its trade-offs under the township scale—evidence from Liaoning province DOI
Aihua Cao, Jinning Zhang

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(2)

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

1
Mitigation Pathways of Urban Heat Islands and Simulation of Their Effectiveness from a Perspective of Connectivity DOI

Zhao Qiuyue,

Tao Ling,

Hak Jun Song

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106300 - 106300

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Incorporating historical information into the multi-type ant colony optimization model to optimize patch-level land use allocation DOI

Zhaomin Tong,

Yaolin Liu, Ziyi Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105404 - 105404

Опубликована: Апрель 2, 2024

Язык: Английский

Процитировано

7
Spatiotemporal Evolution and Future of Carbon Storage in Resource-Based Chinese Province: A Case Study from Shanxi Using PLUS–InVEST Model Prediction DOI Open Access
Yingwen Jiao, Yuhui Wang,

Chenghong Tu

и другие.

Sustainability, Год журнала: 2024, Номер 16(11), С. 4461 - 4461

Опубликована: Май 24, 2024

Resource exploitation markedly alters land use and ecological carbon storage, posing risks to sinks food security. This study analyzes land-use change from 1990 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, PLUS model was used predict four scenarios: natural development (ND), cropland protection (CP), (EP), dual ecology (DP). The spatial temporal evolutions storage were then analyzed using InVEST model. Forests predominantly distributed mountainous areas, with croplands southerly central flat construction lands around cities, mining sporadically across Shanxi. From 2020, grasslands decreased, while forest, construction, increased. Carbon decreased continuously, total loss 15.1 × 106 t. High-value areas Lüliang, Taihang, Taiyue Mountains, low-value more populous southern regions. predicted decline by 2035 under ND CP scenarios exceed that EP DP scenarios. scenario projected an increase 4.93 t 2035. realizes maintains security, providing theoretical reference for achieving neutrality high-quality sustainable Shanxi Province.

Язык: Английский

Процитировано

5
Optimization of Land Use Structure Based on the Coupling of GMOP and PLUS Models: A Case Study of Lvliang City, China DOI Creative Commons
Zhen Wang,

Anya Zhong,

Quanzhi Li

и другие.

Land, Год журнала: 2024, Номер 13(8), С. 1335 - 1335

Опубликована: Авг. 22, 2024

Reasonable land use planning and management efficiently allocates resources, promotes socio-economic development, protects the ecological environment, fosters sustainable development. It is a crucial foundation for achieving harmonious coexistence between humans nature. Optimizing key to management. Four scenarios are established: an economic development scenario (EDS), protection (EPS), natural (NDS), coordinated (CDS). This study simulates patterns under these through coupling of GMOP PLUS models. analyzes efficiency transformation index, landscape comprehensive benefits, ecosystem service value (ESV) each pattern. The optimal pattern determined by balancing factors. results indicated that CDS, areas wasteland, grassland, forest land, water bodies, construction unused in Lvliang City were 6724.29 km2, 6664.74 6581.84 126.94 1017.33 0.42 respectively. represented plan City. minimized human interference with pattern, achieved highest reached reasonable balance benefits ESV. research findings provide valuable insights decision support regional planning, territorial space related policy formulation.

Язык: Английский

Процитировано

5
Comparison of Various Models for Multi-scenario Simulation of Land use/land cover to Predict Ecosystem Service Value: A Case Study of Harbin-Changchun Urban Agglomeration, China DOI
Chaoxu Luan, Renzhi Liu, Yang Li

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144012 - 144012

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

5
Spatial multi-objective optimization towards low-carbon transition in the Yangtze River Economic Belt of China DOI Creative Commons
Haiyue Fu, Mengmeng Cai, Penghui Jiang

и другие.

Landscape Ecology, Год журнала: 2024, Номер 39(8)

Опубликована: Авг. 13, 2024

In the context of urbanization and climate change, optimizing land use patterns is fundamental for sustainable regional development low-carbon transition. However, achieving that support a transition while maintaining economic prosperity remains challenging. Our goals are to develop model explore strategies given future constraints. We propose multi-objective optimization approach transitions towards low carbon by considering emissions reduction, ecological protection, development, taking Yangtze River Economic Belt China was selected as case study area empirical research. research on from 2000 2020 reveals refined strategies, aiming at 2035, have capacity substantially reduce emissions. Simultaneously, these ensure preservation higher ecosystem service value enhance advantages. optimized emission growth nearly 5% compared baseline. Meanwhile, our demonstrate 7% rate in benefits also shows slight improvement. Recognizing variations patterns, we recommend customized local guidance aligning with optimal outcomes. offers valuable policy insights facilitate transition, which can contribute navigating trade-offs between prosperity.

Язык: Английский

Процитировано

4
Spatial Optimization of Land Use and Carbon Storage Prediction in Urban Agglomerations under Climate Change: Different Scenarios and Multiscale Perspectives of CMIP6 DOI
Hao Wu, Yi Yang, Wen Li

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105920 - 105920

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4
Novel Ecological Suitability Evaluation Perspective for Large-Scale Wind Power Construction Zoning and Geographical Potential Prediction:An Explainable Artificial Intelligence-Based Approach DOI
Liting Wang, Ruijia Zhang, Bingran Ma

и другие.

Опубликована: Янв. 1, 2025

The framework development for large-scale energy construction zoning and the consideration of geographical potential are critical to achieving carbon neutrality goals. However, previous wind power studies have mostly focused on micro-site selection, rarely quantitatively analyzed response relationship between ecosystem from a macroscopic perspective. This study introduced new explainable artificial intelligence ecological suitability prediction framework, which can serve as link mitigation adaptation measures in global climate change. Twenty indicator layers were incorporated, quantitative evaluation method was used generate twenty raster data subsequent models' input layers. results showed that accuracies XGBoost, LightGBM, CatBoost CNN 93.36%, 96.50%, 97.17% 97.46% respectively. performed consistently across all categories, while more distinctive very unsuitable suitable categories. analysis found sensitivity desertification distance roads contributed most results, influences socio-economic indicators minimal. Applying Qinghai-Tibetan Plateau revealed 71.4% area farm construction, but total high 1.90×106 GW. It is recommended 11.32% areas with should be developed soon possible future after detailed assessment, order achieve nationally determined contributions target slow down warming.

Язык: Английский

Процитировано

0
Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing DOI Creative Commons

Yuhan Cheng,

Xiuyuan Zhang, Qi Zhou

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2025, Номер 14(1), С. 33 - 33

Опубликована: Янв. 16, 2025

Rapid urban expansion and chaotic land-use patterns cause many socio-economic environmental issues, e.g., traffic congestion heat islands; thus, scientific planning considering trade-offs layout optimization is highly required for resolving these especially in the renewal stage. However, previous spatial methods were weak processing patches ignored their neighborhood dependency, leading to fragmented inapplicable results. Accordingly, this study proposes a patch-level neighborhood-dependency method (PNO) adjust multiple targets (i.e., improving population economy but controlling land surface temperature). The PNO represents graph structure, quantifies patterns’ impacts on population, economy, temperature, defines spatiotemporal constraints of sequences, finally optimizes uses layouts based multi-objective genetic algorithm. Experiments conducted area Beijing, results suggested that, after optimization, GDP can be improved by 667,323 people (4.72%) USD 10.69 billion products (2.75%) area; meanwhile, temperature reduced 0.12 °C (−0.32%). Through comparison, proposed outperforms methods, NSGA-II, as well neighborhoods. Taking map 2022 reference, are more consistent with actual changes (consistency 25%), compared existing 10.6%). Thus, applicable circumstances.

Язык: Английский

Процитировано

0