Опубликована: Янв. 1, 2024
Язык: Английский
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Авг. 19, 2024
With the global land use/land cover (LULC) and climate change, ecological resilience (ER) in typical Karst areas has become focus of attention. Its future development trend its spatial response to natural anthropogenic factors are crucial for understanding changes ecologically fragile human behavior. However, there is still a lack relevant quantitative research. The study systematically analyzed characteristics LULC Southwest China with over past 20 years. Drawing on landscape ecology research paradigm, potential-elasticity-stability ER assessment model was constructed. Revealing heterogeneity distribution, annual evolution, under different scenarios shared socioeconomic pathways representative concentration (SSP-RCP) future. In addition, econometric utilized reveal effect mechanism ER, adaptive strategies were proposed promote sustainable China. found that : (1) years, showed an accelerated change trend, decreased declined general, significant heterogeneity, showing distribution pattern "west larger than east, south north, reduction west slower east." (2) Under same SSP scenario, increase RCP emission concentration, area lowest-resilience increased significantly, highest-resilience decreased. (3) woodland largest contributor per unit China, grassland main type, which had prominent impact area. (4) average precipitation normalized difference vegetation index (NDVI) drivers area, economic growth, innovation, optimization industrial structure contributed Overall, integration multi-scenario-based modeling not only provides new perspectives mechanisms, but also valuable references other regions around world achieve development.
Язык: Английский
Процитировано
1
Remote Sensing, Год журнала: 2024, Номер 16(18), С. 3410 - 3410
Опубликована: Сен. 13, 2024
Exploring the dynamic response of land use and ecological vulnerability (EV) to future climate change human restoration policies is crucial for optimizing regional ecosystem services formulating sustainable socioeconomic development strategies. This study comprehensively assesses changes EV in Yellow River Basin (YRB), a climate-sensitive ecologically fragile area, by integrating change, management, protection under various scenarios. To achieve this, we developed an assessment framework combining scenario weight matrix, Markov chain, Patch-generating Land Use Simulation model, exposure–sensitivity–adaptation. We further explored spatiotemporal variations their potential impacts at watershed scale. Our results show significant geospatial three scenarios, with northern region upstream area being most severely affected. Under conservation management historical trend scenario, environment basin improves, decrease very high areas 4.45% 3.08%, respectively, due land. Conversely, urban construction intensified increased artificialization exacerbate EV, medium increasing 1.86% 7.78%, respectively. The population projected constitute 32.75–33.68% 34.59–39.21% YRB’s total 2040 2060, may continue grow. Overall, our analysis effectively demonstrates positive impact on reducing negative expansion economic EV. work offers new insights into resource allocation policies.
Язык: Английский
Процитировано
1
Ecological Indicators, Год журнала: 2024, Номер 168, С. 112784 - 112784
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
1
Land, Год журнала: 2024, Номер 13(12), С. 2086 - 2086
Опубликована: Дек. 3, 2024
In-depth research on the spatial and temporal evolution of ecosystem service trade-offs synergistic relationships, scientific identification bundles, main factors affecting differentiation bundle provisioning are crucial to enhancing overall benefits regional services human well-being. Based assessment Guangdong–Hong Kong–Macao Greater Bay Area functional system, we combined correlation analysis method, hierarchical clustering principal component analyze trade-offs/synergistic relationships 11 indicators contained in four major categories explored study differentiation. The results this showed following: (1) Between 2000 2018, Regulating Supporting a decreasing trend while cultural an increasing trend. Human interference affected provision; provision individual was more random, but geospatial distribution certain degree regularity. (2) intrinsic connection is continuously strengthened, other except industrial products easily produce with regulating supporting services, products, leisure recreation, education, likely trade-off relationship between them. correspondence among trade-offs, cold/hot spots not uniform due scales. (3) method combining socio-economic statistics InVEST model can identify similar classifications, there differences performance some roles at different scales areas. (4) For complex urban-natural classified bundles have broad similarities. development high-density city clusters depends coordinated population, resources, environment, society, economy each region.
Язык: Английский
Процитировано
1
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0