Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value Based on the Markov–FLUS Model in Ezhou City, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6237 - 6237

Published: July 22, 2024

Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.

Language: Английский

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Study of identification and simulation of ecological zoning through integration of landscape ecological risk and ecosystem service value

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105442 - 105442

Published: April 15, 2024

Language: Английский

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Integrating ecosystem service supply–demand and ecological risk assessment for urban planning: A case study in Beijing, China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 161, P. 111950 - 111950

Published: April 1, 2024

The balance between ecosystem service supply–demand and landscape ecological risk are two crucial aspects influencing the sustainable development of regional ecosystems. Current evaluations ignore these lead to partial planning in urban areas. As a result, framework was built for areas based on multidimensional ecosystems high-efficiency land use planning. First, determine scale, supply demand five services were quantified—biodiversity conservation, carbon sequestration, water food production, recreation. Second, risks identified using "natural–social–landscape" research combined with spatial principal component analysis. Third, clustering analysis ratios then performed through autocorrelation, which aimed identify protection restoration priority. Finally, GeoDetector used main factors develop targeted measures. results revealed an imbalance total Beijing's plain area, coupled high level risk. exhibited significant negative correlation aggregation risk, area accounted approximately 31.9% area. Priority 10.39% 19.94%, respectively, Land use, distance settlements, vegetation cover primary environmental variables distributions So, this study emphasizes need strengthen intensive prevent uncontrolled expansion settlements. It is enhance green infrastructure construction, promote biodiversity-friendly agriculture, implement measures such as afforestation increase cover. Overall, by integrating comprehensive scientific reference can be provided efficient

Language: Английский

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Landscape Ecological Risk Assessment and Analysis of Influencing Factors in Selenga River Basin

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(17), P. 4262 - 4262

Published: Aug. 30, 2023

Land degradation under the influence of global warming and ecological environmental destruction due to poor land management is main challenge facing Mongolian Plateau, its future risk change trends drivers are also unclear. Therefore, address context relevant this challenge, planning based on measured information from use patterns required. Based cover (LULC), study evaluates landscape (LER) Selenga River Basin by calculating pattern index. The spatiotemporal influencing factors in 1990 2040 were analyzed. According results LULC analysis, forest grassland primary types Basin. built area, forest, cropland showed an increasing trend, while area a fluctuating decreasing trend. From 2010, comprehensive dynamic degree trend rising first then falling, specifically 0.13% 0.29% will drop 0.06% 2040, indicating that range becoming more stable. assessment shows distribution “low at edge high middle”. index increases decreases, with peak value 2010 (0.085). By spatial aggregation LER partial correlation climate, we found Moran’s I “anti-V”-shaped average presents positive correlation, primarily high-value aggregation, peaked 2010. Precipitation had negative controlling for temperature, there was relationship between temperature precipitation. This provides scientific basis Basin, great significance maintaining security Plateau.

Language: Английский

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Spatio-temporal variations and multi-scenario simulation of landscape ecological risk in the drylands of the Yellow River Basin

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 30, 2024

Language: Английский

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Mapping the forests and their spatiotemporal changes in the Yellow River Basin (Gansu section) in China from 2008 to 2018

European Journal of Remote Sensing, Journal Year: 2025, Volume and Issue: 58(1)

Published: Jan. 11, 2025

Language: Английский

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Exploring the Drivers of Ecosystem Service Changes from a Spatio-Temporal Perspective in Vulnerable Nanling Mountainous Areas in SE China

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 417 - 417

Published: Feb. 17, 2025

Mountains support many kinds of ecosystem services (ESs) for human beings, emphasizing the need to understand characteristics and drivers ES changes in mountainous regions. In this study, Nanling, most significant mountains southern China, was selected as a case study. Utilizing GlobeLand30 dataset, we employed InVEST, Geodetector MGWR identify spatio-temporal changes, investigate trade-offs synergies between ESs, examine relationship ESs landscape ecological risk index (LERI) provide new perspective management vulnerable mountain The results showed that carbon storage (CS) habitat quality (HQ) slightly decreased, while water yield (WY) increased slightly. Soil conservation (SC) significantly but total (TES) increased. All bundles demonstrated synergistic relationship, exhibited decreasing trend. study area were mainly affected by climate factors, anthropogenic factors also had impact on ESs. LERI negative correlation with provision high explanatory power especially CS, HQ TES, suggesting areas more stable patterns are likely harbor greater levels insights into analysis change areas, providing practical implications introducing driver change.

Language: Английский

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Spatiotemporal changes and response to vegetation restoration of comprehensive ecological risk: Quantification using the external risk source-structure-function framework

Ecological Engineering, Journal Year: 2025, Volume and Issue: 215, P. 107605 - 107605

Published: March 24, 2025

Language: Английский

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Predicting spatio-temporal land use / land cover changes and their drivers forces based on a cellular automated Markov model in Ibb City, Yemen

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: Oct. 9, 2023

Land use and land cover (LULC) change profoundly impacts regional natural, economic, ecological development; However, no study has been conducted to classify LULC changes in Ibb City using high-resolution satellite images. This aims evaluate predict their driving forces City, the tourist capital of Yemen. In this study, an integrated cellular automata Markov chain (CA-Markov) model were implemented analyze spatio-temporal trends city. Meanwhile, a socio-economic survey key informant interviews probable drivers change. Landsat (5, 7, 8) data are used maps distributions for 1990, 2005, 2020 at regular intervals. A CA–Markov employed simulate long-term landscape 15-year intervals from 2050. Results indicate that vegetation area decreased 1760.4 km2 (33.2%) 1371.7 (27.8%). barren land, grassland, built-up areas increased 3190.5 (60.1%) 3428.6 (64.8%), 336.0 (6.3%) 419.3km2 (7.9%), 11.8 (0.38%) 76.2 (1.42%), respectively. The CA-Markov model's accuracy was validated by comparing simulated actual modeler (LCM) IDRISI-TerrSet software. predicted 2035 2050 area, showed decreasing trends, while waterbody increasing trends. These results provide valuable insights tracking future pivotal guiding sustainable practices, striking balance between conserving natural resources advancing urban development projects future.

Language: Английский

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Landscape ecological risk assessment in the Dongjiangyuan region, China, from 1985 to 2020 using geospatial techniques

Geomatics Natural Hazards and Risk, Journal Year: 2023, Volume and Issue: 14(1)

Published: Feb. 22, 2023

Anthropogenic activities can greatly affect the ecological environment. As an protection area, it is necessary to scientifically evaluate landscape risk (LER) in Dongjiangyuan region provide scientific guidance for regional sustainable development. In this study, LER was calculated, and spatial temporal characteristics of from 1985 2020 were analysed using geospatial techniques. The results show that proportion low-risk extremely areas increased 87.65% 94.26% during 1985-2020 period. high-risk had a decreasing trend, concentrated with impervious surfaces croplands. rate negative, especially south-eastern Xunwu County, southern Dingnan County central Anyuan indicating has been improved. centre gradually migrated geometric study area. However, gravity high remained County. agglomeration changed significantly, overall difference between cold hot decreased. spot are key governance future.

Language: Английский

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