Analysis of influencing factors and paths of synergistic development of water resources-economic society-ecological environment based on DIM modeling DOI Creative Commons

Suming Ren,

Fuqiang Wang, Peiheng Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 18, 2025

The intersection of climate change and human activities exacerbates the prominent contradiction between environmental resources economic development. synergistic development water resources, economy society, ecological environment is particularly urgent. Therefore, accurately identifying its influencing factors related pathways holds significant practical importance in resolving This study constructs a system for "water society environment" from three dimensions, reveals relationship indicators through Decision Making Trial Evaluation Laboratory (DEMATEL), determines hierarchical structure paths Interpretive Structural Model (ISM), classifies Matrix Multiplication Method Cross Influence (MICMAC). results show that resource are important cause economic, social essential effect factors. can be divided into four levels, which total precipitation NDVI at bottom most fundamental percentage groundwater supply, utilization rate energy consumption 10,000 yuan GDP deep core elements. Total grain output, per capita, use capita direct Finally, taking Central Plains Urban Agglomeration as an example, selecting identified analyzing level coupled found degree coupling coordination increased 0.324 2011 to 0.978 2020. showed fluctuating change, it still key Analyzing subsystems clarifying systems policy formulation, improving governance promoting high-quality

Language: Английский

Driving force analysis and multi-scenario simulation of landscape ecological risk in the Jianghan Plain, China DOI Creative Commons
Heng Liu, Zhou Lü,

Diwei Tang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 9, 2025

As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect surface landscape structure and ecological risks, posing challenges to security. Assessing risk of JHP, identifying its drivers, predicting trends under different scenarios can provide strategic support for management safeguarding security JHP. In this study, (LER) index was constructed by integrating indices from 2000 2020, firstly analyzing spatiotemporal characteristics, subsequently influencing factors using GeoDetector model, finally, simulating four Markov-PLUS model. The results showed that: (1) Cropland dominant use, most significant decreases increases occurred cropland built-up land, respectively. primary conversion interconversion water body. (2) LER exhibited trend initially increasing decreasing, levels were predominantly medium higher. spatial pattern high southeast low central northern areas. (3) patterns resulted combined effect multiple mainly influenced natural environment, which NDVI first factor. (4) intensity higher economic development than protection scenarios, predicted 2030 former latter two. These findings are important formulating scientific reasonable planning strategies balance growth preservation maintain sustainability

Language: Английский

Citations

0

Spatiotemporal evolution of landscape ecological risk and its driving factors of the Beijing–Tianjin–Hebei major mineral belt, 1985–2022 DOI Creative Commons
Yilin Wang, Xiaohong Wang, Wei Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 18, 2025

The Beijing-Tianjin-Hebei major mineral belt represents a significant economic development area in China. Effective monitoring and assessment of the regional landscape ecological risk can provide scientific basis for an protection strategy environmental belt. In this study, index was constructed based on land use/land cover, spatial temporal variations were subsequently analyzed. Furthermore, contribution main driving factors quantified results demonstrate that: (1) use types within study underwent changes from 1985 to 2022. predominant type transfer cropland, which primarily converted construction land, grassland, woodland. (2) central-northern western parts is higher, while southwest lower. Using 2015 as time point, found change, with average value all classes 2015-2022 being lower than that 1985-2015, exception high-risk area. mean annual obviously higher during 1985-2015 period comparison period, regions exhibiting high risk. (3) There positive correlation between risks different periods. pattern exhibits both 'high-high' aggregation 'low-low' aggregation. aggregations are located northern, central area, zones mainly southeastern region. (4) distribution predominantly shaped by population density slope. context interactive factor detection, interaction slope temperature, night-time illumination slope, precipitation identified exerting more influence observed differentiation It multiple drivers had pronounced impact any single factor. findings research project rationale reference future use, resource optimization, differential management restoration. considerable importance terms maintaining security patterns.

Language: Английский

Citations

0

Spatiotemporal Evolution and Driving Mechanisms of Ecological Risk in the Yuncheng Salt Lake Wetland, China DOI Open Access

Qicheng He,

Zhihao Zhang, Yuan Zhang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(4), P. 524 - 524

Published: Feb. 12, 2025

As the only large sulfate-type salt lake in global warm temperate deciduous forest zone, Yuncheng Salt Lake plays a crucial role maintaining ecosystem stability and establishing regional ecological barrier due to its unique characteristics. Currently, there is lack of research on spatial temporal differentiation risks inland lakes, particularly wetland ecosystems, under current future scenarios. Moreover, studies using optimal parameter-based geographical detectors identify influencing factors landscape risks—while avoiding subjective bias—remain limited. This study utilizes land use/land cover data from 1990 2022 construct risk assessment model. By employing autocorrelation analysis, detector, Patch-level Land Use Simulation (PLUS) model, explores dynamic evolution wetlands different Furthermore, it analyzes influence various natural socio-economic risk, aiming provide valuable insights for targeted warning management measures regions. The results indicate that: (1) Between 2022, area built-up increased significantly, primarily continuous decline farmland area, while water initially decreased then increased. (2) index declined over period, indicating an improvement status recent years, with overall security trending positively. (3) Topographical conditions are primary wetlands, followed by mean annual temperature population density. synergistic effect elevation precipitation NDVI (Normalized Difference Vegetation Index) exhibits strongest explanatory power region. (4) Under scenarios, proportion high areas projected decrease varying extents, protection scenario contributing more effectively sustainable development ecosystem.

Language: Английский

Citations

0

Landscape ecological risk assessment of the northern coastal region of China based on the improved ESRISK framework: A case study of Cangzhou City DOI Creative Commons

Guixian Hu,

Yuming Guo, Changchun Zhang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113222 - 113222

Published: Feb. 1, 2025

Language: Английский

Citations

0

Analysis of influencing factors and paths of synergistic development of water resources-economic society-ecological environment based on DIM modeling DOI Creative Commons

Suming Ren,

Fuqiang Wang, Peiheng Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 18, 2025

The intersection of climate change and human activities exacerbates the prominent contradiction between environmental resources economic development. synergistic development water resources, economy society, ecological environment is particularly urgent. Therefore, accurately identifying its influencing factors related pathways holds significant practical importance in resolving This study constructs a system for "water society environment" from three dimensions, reveals relationship indicators through Decision Making Trial Evaluation Laboratory (DEMATEL), determines hierarchical structure paths Interpretive Structural Model (ISM), classifies Matrix Multiplication Method Cross Influence (MICMAC). results show that resource are important cause economic, social essential effect factors. can be divided into four levels, which total precipitation NDVI at bottom most fundamental percentage groundwater supply, utilization rate energy consumption 10,000 yuan GDP deep core elements. Total grain output, per capita, use capita direct Finally, taking Central Plains Urban Agglomeration as an example, selecting identified analyzing level coupled found degree coupling coordination increased 0.324 2011 to 0.978 2020. showed fluctuating change, it still key Analyzing subsystems clarifying systems policy formulation, improving governance promoting high-quality

Language: Английский

Citations

0