Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Land, Journal Year: 2025, Volume and Issue: 14(3), P. 515 - 515
Published: March 1, 2025
Understanding the changes in ecosystem quality caused by land use is critical for sustainable urban development and environmental management. This study investigates spatial-temporal evolution of Wuhan from 2000 to 2020 forecasts future trends under multiple scenarios 2030. Using a “foundation-function-structure” assessment framework, we integrate system dynamics (SD), Patch-generating Land Use Simulation (PLUS) model, neural network-based inversion model analyze transitions their ecological impacts. The results indicate that rapid expansion has significantly contributed decline cropland forest areas, while impervious surfaces have increased, leading notable degradation. Simulations 2030 three scenarios—ecological protection, natural development, economic priority—demonstrate protection scenario yields highest quality, preserving landscape connectivity mitigating degradation risks. In contrast, priority extensive expansion, exacerbating stress. Under 2023, was primarily due fringes erosion grassland areas. increase mainly attributed transformation early edge conflict zones into stable interior areas integration fragmented patches. These findings highlight need strategic planning balance growth conservation. provides robust methodological framework assessing predicting changes, offering valuable insights policymakers planners striving development.
Language: Английский
Citations
0
Land, Journal Year: 2024, Volume and Issue: 13(4), P. 535 - 535
Published: April 17, 2024
With the rapid progress in urbanization and economic development, impact of land use change (LUC) on ecosystem services is becoming increasingly significant. However, accuracy ecological risk assessment faces challenges due to presence uncertainty factors. Using PLUS model, this study aims simulate predict changes (LUCs), focusing southern hilly regions southeastern China as a case study, conducting an in-depth uncertainty. Firstly, spatiotemporal simulation LUCs region from 1990 2030 was conducted under multiple scenarios. Subsequently, differences spatial temporal distribution service value (ESV) across different years forecast scenarios were revealed, followed by detailed analysis ESV. Finally, calculating Ecological Risk Index (ERI), systematically analyzed evolution trend 2030. The main research findings are follows: (1) conversion proportions types vary significantly Compared 2020, National Development Scenarios (NDSs), there has been slight decrease around 3% total area farmland, forest, grassland. Protection Scenario (EPS) Urban (UDS) scenarios, increase forest grassland, with rise approximately 1.5% converted built-up land. (2) Western cities (e.g., Yueyang Yiyang), central Jiujiang), northeastern Suzhou) exhibit relatively high ESV distribution, while decreased overall 2010 2020. EPS UDS, shows significant increasing trend, suggesting that these two may play crucial role restoration. (3) water bodies farmland most inhibitory effect ESV, especially during period 2000, providing substantial data support for relevant policy formulation. (4) From 2030, gradually increased western, central, southwestern region, highest values scenario northern Chizhou Tongling). Under UDS scenario, risk, valuable insights future conservation sustainable development. limitation lies need further enhancement scenario’s authenticity. This offers new perspective understanding risks, reference points resource management formulation policies.
Language: Английский
Citations
3
Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13
Published: Feb. 20, 2025
Introduction Karst regions are integral to the global carbon cycle. However, land use changes of karst driven by urbanization and desertification contribute instability storage, leading uncertainties in future. Understanding these instabilities is crucial for formulating sequestration management strategies. Methods This study employed Patch-generating Land Use Simulation (PLUS) Integrated Valuation Ecosystem Services Trade-offs (InVEST) estimate introduced Coefficient Variation (CV) assess uncertainty. Multiscale Geographically Weighted Regression (MGWR) was applied explore mechanisms, while Polynomial (PR) identified stable intervals factors, informing land-use policies. Results Discussion (1) From 2000 2020, Guiyang’s storage rose from 136.62 Tg 142.13 Tg. By 2035, projections under natural development, urban expansion, ecological protection scenarios increases 147.50 Tg, 147.40 147.82 respectively. (2) Carbon increased uncertainty expected decrease 2035. Instability primarily due transitions Cropland-Forest, Forest-Cropland, Cropland-Grassland, Cropland-Impervious, mainly arise Grassland-Impervious transitions. (3) DEM, AI, Distance national highways, SHDI, Mean annual precipitation affected significantly. (4) Encouraging Shrub-Forest, Shrub-Cropland Cropland-Forest conversions, controlling Forest-Shrub, Cropland-Impervious conversions within can enhance reduce establishes a methodology evaluating regions, which an extension research.
Language: Английский
Citations
0
Journal of Arid Land, Journal Year: 2025, Volume and Issue: 17(2), P. 145 - 166
Published: Feb. 1, 2025
Language: Английский
Citations
0
Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1402 - 1402
Published: July 13, 2023
The official establishment of China’s national parks marks a new stage in the construction ecological civilization system. National systematically protect areas with richest biodiversity and most complete ecosystem processes China. This is beneficial not only for natural conservation work, but also world’s response to environmental issues, such as climate change. Based on remote sensing images land use four periods 1990, 2000, 2010, 2020, this study calculated changes each park during corresponding period. Using Plus model LEAS module, driving factors change were studied explored. In addition, used InVEST carbon storage using from different pools basic data operation, obtain over past 30 years. hotspot analysis function, years determined. Consequently, based CARS module PLUS model, Northeast Tiger Leopard Park 2030 was estimated under scenarios. Research suggested that, except Sanjiangyuan where grassland main type, other are all dominated by forests, expansion types due human activities. years, has mainly shown trend first increasing then gradually decreasing. park, restoration scenarios simulated core protected generally controlled Park. Under ideal scenario, highest value would be achieved 2030, which 7,468,250 t higher than that 2020. present provides reference regional management further confirms implementation system can enhance ability achieve peaking neutrality goals.
Language: Английский
Citations
8
Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119401 - 119401
Published: Nov. 6, 2023
Language: Английский
Citations
7
Human and Ecological Risk Assessment An International Journal, Journal Year: 2024, Volume and Issue: 30(1-2), P. 77 - 99
Published: Jan. 13, 2024
Regional landscape ecological risk (LER) assessment is of great significance for coordinating the relationship between land use and environment, promoting rational allocation resources, it basis guarantee achieving sustainable development. By assessing Huaihe River economic zone, can promote development theory, provide a scientific formulation civilization construction planning policies, help to strengthen environmental monitoring, management, civilization. Based on remote sensing image data from 1985 2020, spatiotemporal evolution characteristics LER in Anhui section Ecological Economic Belt China were explored. The results showed that: (1) an increasing trend, with increased area 4753.35 km2, whereas cultivated negative growth reduced 4487.58 km2. (2) During past 35 years, risks research decreasing trend as whole, medium-low medium-risk areas ranking main; medium-high high-risk are mainly distributed both sides northern-central part Suzhou City. (3) Moran's I values each period showing significant spatial autocorrelation tending converge spatially. In future, security pattern should be optimized local deterioration areas.
Language: Английский
Citations
2
Land, Journal Year: 2024, Volume and Issue: 13(5), P. 675 - 675
Published: May 13, 2024
Nanling Mountain region is a typical southern hilly region, which plays an important ecological and environmental protection role in China’s overall land pattern. Based on the remote sensing image data of Longnan City 2013, 2018 2023, this paper interpreted use type analyzed transfer situation by using flow, matrix. At same time, based index (RSEI) model, quality from 2013 to 2023 was retrieved. The temporal spatial response model discussed autocorrelation geographical detector. results show that decrease forest (16.23 km2) increase construction (13.25 were main transfers City. environment indexes 0.789, 0.917 0.872, respectively, showing trend “first rising then decreasing”. north significantly lower than south, poor area appeared around northern urban area, “inward contraction”. Forest land, garden grassland, cultivated water have positive impact quality, while traffic other negative quality. different modes related change interaction between cover (LUCC) factors had great evolution
Language: Английский
Citations
2
Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12
Published: Aug. 30, 2024
Identifying ecosystem service functions, clarifying the spatiotemporal trade-offs and synergies of terrestrial services their driving mechanisms, exploring differentiated ecological functional zoning are crucial steps in achieving healthy regional management, conducive to developing diversified restoration strategies, establishing a robust cross-regional collaborative management mechanism, implementing contributing construction Beautiful China. This paper, based on InVEST model, Pearson correlation, GeoDetector, Spatiotemporal Geographically Weighted Regression models, constructs spatial quantification model among five key functions—habitat quality, soil retention, water conservation, food supply, carbon sequestration—of China’s ecosystems from 2000 2020. It explores influencing factors China heterogeneity, thereby investigating future strategies for national land space. The results indicate that: (1) during 2000–2020, supply conservation have increased. However, habitat sequestration decreased. (2) Significant temporal heterogeneities exist ecosystems. (3) Natural, economic, social all impact services. Among them, slope, annual average precipitation, development intensity, vegetation coverage main factors, different exhibit significant heterogeneity. (4) trade-offs/synergy effects critical (5) territory is divided into four protection zones: areas, control resilient optimization paths.
Language: Английский
Citations
2
Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7793 - 7793
Published: Sept. 6, 2024
Land use change profoundly impacts habitat quality, necessitating an understanding of historical and future trends for effective regional planning ecological protection, particularly in ecologically sensitive areas. This study examines the Taihu Lake Basin (TLB), a region undergoing significant land changes exhibiting considerable vulnerability. Utilizing InVEST model (v3.14.2), we analyzed dynamics quality TLB from 2000 to 2020. We subsequently employed PLUS (v1.40) predict under various scenarios. Our key findings include following: (1) From 2020, experienced 97.62% increase construction land, alongside reductions cultivated forestland. (2) Population density, precipitation, DEM, temperature were identified as main drivers expansion TLB. (3) Habitat declined by 11.20% over period, spatial disparities including higher southwest central regions lower east north. (4) Scenarios prioritizing urban development led substantial reduced whereas scenarios emphasizing protection effectively mitigated fragmentation. highlights critical need integrate into balance economic with environmental sustainability. The underscore importance conservation policies maintain promote sustainable These insights are valuable guiding management similarly regions.
Language: Английский
Citations
2