Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1338 - 1338

Published: July 4, 2023

Despite the Yangtze River Basin (YRB)’s abundant land and forestry resources, there is still a dearth of research on forecasting habitat quality changes resulting from various geographic environmental factors that drive landscape transformations. Hence, this study concentrates YRB as focal area, with aim utilizing Patch Landscape Upscaling Simulation model (PLUS) to scrutinize spatial distribution patterns evolution HQ under four scenarios: natural development scenario (NDS), farmland protection (CPS), urban (UDS), ecological (EPS), spanning past 2030. Our results show (1) 2000 2020, construction in expanded at high dynamic rate 47.86% per year, leading decrease 32,776 km2 cultivated area; (2) UDS had most significant expansion land, followed by NDS, CPS, EPS, which higher proportions ecologically used such forests grasslands; (3) index ranged 0.211 0.215 (low level), showing slight upward trend, drastic occurring low-level areas (−0.49%); (4) EPS highest (0.231), CPS (0.215), increasing proportion lower-level 2.64%; (5) addition government policies, NDVI, DEM, GDP, population were also affecting pattern quality.

Language: Английский

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Multi-Scenario Prediction of Land-Use Changes and Ecosystem Service Values in the Lhasa River Basin Based on the FLUS-Markov Model

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 597 - 597

Published: April 29, 2024

The quantitative evaluation and prediction of ecosystem service value (ESV) in the Lhasa River Basin can provide a basis for ecological environment assessment land-use optimization adjustment future. Previous studies on ESV have focused mainly static evolution analysis based historical data, not considered future development trends. Moreover, most current driving factors selected land use are homogeneous, do reflect geographical cultural characteristics study area well. With as research focus, 20 were according to plateau alpine area, changes under three developmental orientations, namely, natural evolution, protection, agricultural development, predicted year 2030 with FLUS-Markov model. Based these predictions, values services calculated, their spatiotemporal dynamic analyzed. results show that model has high accuracy simulating change Basin, kappa coefficient 0.989 an overall 99.33%, indicating applicability. types basin dominated by existence grassland, unused land, forest, combined proportion 94.3%. trends each type scenarios differ significantly, cropland, building showing significant changes. cropland increased only scenario; areas forest grassland protection expansion was effectively controlled scenario. all scenarios, spatial distribution per unit middle lower reaches greater than upper reaches. greatest scenario, grasslands, forests, water bodies contributing more basin. This provides decision-making references effective utilization resources, environmental planning, urban construction

Language: Английский

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Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 416 - 416

Published: Feb. 17, 2025

As urbanization accelerates, megacities are facing challenges such as inefficient land use and traffic congestion, particularly in the context of rail transit-oriented development, where optimization remains a significant research gap. Current urban planning still relies heavily on experience intuition government departments, without achieving quantitative, intelligent, scientific decision making. This study takes Panda Avenue Subway Station case to analyze evolution patterns around subway stations explore strategies enhance development efficiency spatial utilizationTo fill this gap, paper proposes CNN-AIMatch model based machine learning algorithm an enhanced PLUS-Markov prediction using increase decrease floor area ratio control measure, which adopts plot measure improve accuracy Kappa coefficient different scenarios 3D growth trends. The effectively overcomes limitations conventional 2D perspective predicting expansion. By simulating renewal ecological preservation scenarios, it provides innovative solution for pattern at block level station areas. goal is optimize through application model, intelligently respond high-density quality life assurance, achieve best land, promote sustainable construction smart cities.

Language: Английский

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Monitoring Forest Cover Dynamics Using Orthophotos and Satellite Imagery

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(12), P. 3168 - 3168

Published: June 18, 2023

The assessment of changes in forest coverage is crucial for managing protected areas, particularly the face climate change. This study monitored cover dynamics a 6535 ha mountain area located north-west Romania as part Apuseni Natural Park from 2003 to 2019. Two approaches were used: vectorization orthophotos and Google Earth images (in 2003, 2005, 2009, 2012, 2014, 2016, 2017, 2019) satellite imagery (Landsat 5 TM, 7 ETM, 8 OLI) pre-processed Surface Reflectance (SR) format same years. We employed four standard classifiers: Support Vector Machine (SVM), Random Forest (RF), Maximum Likelihood Classification (MLC), Spectral Angle Mapper (SAM), three combined methods: Linear Unmixing (LSU) with Breaks (NB), Otsu Method (OM) SVM, extract classify areas. Our had two objectives: 1) accurately assess over 17-year period 2) determine most efficient methods extracting classifying validated results using performance metrics that quantify both thematic spatial accuracy. indicate 9% loss area, representing 577 an average decrease ratio 33.9 ha/year−1. Of all used, SVM produced best (with score 88% Overall Quality (OQ)), followed by RF mean value 86% OQ).

Language: Английский

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Multi-scenario carbon storage analysis based on PLUS model and InVEST model: a case study of Zhejiang province, China

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 18, 2025

Language: Английский

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Predicting the spatial pattern of land use change and carbon storage in Xinjiang: A Markov-FLUS-InVEST model approach

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0321929 - e0321929

Published: April 17, 2025

Land-use changes significantly influence carbon storage capacity by altering the structure, layout, and function of terrestrial ecosystems. Predicting relationship between future land-use is essential for optimizing patterns making rational, ecology-based decisions. Using multi-period data from Xinjiang, we analyzed spatial pattern storage. Based on change in Xinjiang 2000 to 2020, coupled Markov-Future Land Use Simulation (FLUS)-Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model simulate predict 2035 under two scenarios: natural growth ecological protection. Carbon its spatiotemporal dynamic these scenarios were evaluated, Geodetector was employed analyze heterogeneity a statistical perspective, revealing various driving factors. The results showed that: (1) From 2000–2020, grassland unused land primary types accounting over 28.85% 60.17% total area, respectively. By 2035, cropland, forest, water, construction areas are expected increase, while projected decrease. Under protection scenario, forest land, grassland—major main contributors storage—will be effectively conserved some extent. (2) Xinjiang’s exhibited an overall increasing trend, with cumulative increase 137.515×10 5 t rate 1.58%. However, this decline estimated reduction 168.344×10 compared that 2020. Ecological anticipated mitigate decline, 13.227×10 relative scenario. (3) analysis indicated had greatest explanatory power (q = 0.80), followed soil 0.41), net productivity 0.32), geomorphology 0.22). This highlights as most critical environmental factor determining These findings provide scientific insights recommendations sustainable development management enhancement functions.

Language: Английский

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Sense of Place Attitudes on Quality of Life during the COVID-19 Pandemic: The Case of Iranian Residents in Hungary

Sustainability, Journal Year: 2023, Volume and Issue: 15(8), P. 6608 - 6608

Published: April 13, 2023

Limited research has investigated the impact of immigrants’ sense place (SOP) attitudes on their quality life (QOL) outcomes, especially during crises such as COVID-19 pandemic. The present study aimed to fill this gap by examining effect SOP and health-related QOL (HQOL) 120 Iranian citizens residing in Budapest, Hungary, Using social media platforms, an online survey was conducted between March July 2020. findings revealed that elements, connection sites, location identification, reliance, are susceptible change rely also highlighted Budapest potential become a desirable destination for future immigrants. Overall, contributes literature relationship outcomes among immigrants crisis. It provides valuable insights policymakers practitioners improve living cities affected pandemics or other crises. This into influence presenting model highlighting significant results selected community.

Language: Английский

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The contributions of climate and land use/cover changes to water yield services considering geographic scale

Heliyon, Journal Year: 2023, Volume and Issue: 9(10), P. e20115 - e20115

Published: Sept. 14, 2023

Water yield services are critical for maintaining ecological sustainability and regional economies. Climate change land use/cover (LUCC) significantly affect water yield, but the spatiotemporal variability of has been overlooked in previous studies. This study aims to explore relative contributions climate changes at both grid subwatershed scales.This employed InVEST model calculate area a multi-scenario simulation approach investigate impacts LUCC on scales. Furthermore, these two types were quantified.Firstly, upstream areas experience lower annual average precipitation, temperature, potential evapotranspiration than downstream areas, with worsening drought severity. Secondly, urbanization led significant LUCC, decreases farmland grassland increases forest, water, building land, unused land. Thirdly, spatial heterogeneity remains consistent across different scales, more pronounced clustering is observed scale. Fourthly, primary factor affecting services, surpassing influence LUCC. Lastly, cycling watersheds, vegetation coverage being yield.These findings highlight need consider complex relationships between change, multiple scales resource management.

Language: Английский

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Travel to Mars-like Places on Earth: A New Branch of Sustainable Ecotourism in Lut Desert World Heritage Site, Iran

Sustainability, Journal Year: 2023, Volume and Issue: 15(12), P. 9677 - 9677

Published: June 16, 2023

Traveling to space and walking on other planets has always been a great dream for many tourists. Given that tourism is not available everyone, adventurers have looking special strange places evoke the feeling of traveling planets, especially Mars. One these which very similar Mars Lut Desert World Heritage Site. The present study aims introduce Martian sites offers type trip this beautiful desert can further preserve it with sustainable development approach. statistical sample research based qualitative analysis method, consisting 18 participants, consists experts, tour guides, tourists who visited studied sites. After data collection process, interviews were transcribed analyzed using Maxqda 2020 software. results indicate four identified in research, according are images videos published Moreover, new branch ecotourism develop Desert.

Language: Английский

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Integrating Future Multi-Scenarios to Evaluate the Effectiveness of Ecological Restoration: A Case Study of the Yellow River Basin

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1032 - 1032

Published: July 10, 2024

Ecological restoration is an important strategy for mitigating environmental degradation, and the effectiveness evaluation of ecological profound significance scientific implementation projects. This study improved Patch-generating Land Use Simulation (PLUS) model. It was used to simulate land use patterns under multi-scenarios such as natural development (ND), economic priority (EP), (ER) in 2030. An framework covering “Restoration–Monitoring–Effectiveness” (RME) proposed. Based on 30 m high-resolution remote-sensing data from 2000 2020, distribution, landscape pattern changes, ecosystem services different scenarios were evaluated predicted Yellow River Basin Sichuan verify framework. The results showed following: (1) Under ER scenario, transfer types 2020–2030 mainly characterized by increase area wetlands a decrease built-up land. (2) There obvious differences scenarios. Compared with ND EP scenarios, growth construction rate suppressed coverage grassland increased significantly. (3) mean values scenario higher than those These findings clearly indicate that RME system can accurately evaluate effects future, providing new perspective other regions.

Language: Английский

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