Assessing and predicting the dynamics of land use/land cover in northern Bangladesh using cellular Automata-Markov chain model DOI Creative Commons
Md. Naimur Rahman,

Md. Mushfiqus Saleheen,

Abu Reza Md. Towfiqul Islam

et al.

Geology Ecology and Landscapes, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Nov. 13, 2024

Rapid urbanization and land use changes significantly impact environmental sustainability resource management, particularly in developing regions. Therefore, this study examines the spatiotemporal dynamics of cover (LULC) Rangpur, Bangladesh, from 1991 to 2021 projects future trends 2041. Using supervised unsupervised classification techniques, along with cellular automata Markov-chain models, we assessed historical LULC predicted scenarios. Results show a 38.86% increase built-up areas (BAs) 49.86% decrease vegetation (VL) during period, accuracy above 87%. Projections indicate further loss over 210 km² VL an more than 123 urban by Notably, expansion is linked development road networks, significant growth 115.06 km2 124.33 2041 within 15-kilometer radius around city center. These findings offer crucial insights for planning, emphasizing need sustainable strategies manage protect socio-economic resilience Rangpur.

Language: Английский

Projecting Future Wetland Dynamics Under Climate Change and Land Use Pressure: A Machine Learning Approach Using Remote Sensing and Markov Chain Modeling DOI Creative Commons

Penghao Ji,

Rong Jun Su, Guodong Wu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1089 - 1089

Published: March 20, 2025

Wetlands in the Yellow River Watershed of Inner Mongolia face significant reductions under future climate and land use scenarios, threatening vital ecosystem services water security. This study employs high-resolution projections from NASA’s Global Daily Downscaled Projections (GDDP) Intergovernmental Panel on Climate Change Sixth Assessment Report (IPCC AR6), combined with a machine learning Cellular Automata–Markov (CA–Markov) framework to forecast cover transitions 2040. Statistically downscaled temperature precipitation data for two Shared Socioeconomic Pathways (SSP2-4.5 SSP5-8.5) are integrated satellite-based (Landsat, Sentinel-1) 2007 2023, achieving high classification accuracy (over 85% overall, Kappa > 0.8). A Maximum Entropy (MaxEnt) analysis indicates that rising temperatures, increased variability, urban–agricultural expansion will exacerbate hydrological stress, driving substantial wetland contraction. Although certain areas may retain or slightly expand their wetlands, dominant trend underscores urgency spatially targeted conservation. By synthesizing data, multi-temporal transitions, ecological modeling, this provides insights adaptive resource planning management ecologically sensitive regions.

Language: Английский

Citations

3
Impacts of extreme climate events on vegetation succession at the northern foothills of Yinshan mountain, inner Mongolia DOI Creative Commons
Pingping Zhou,

Zilong Liao,

Xiaoyan Song

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 11, 2025

Extreme climate events significantly impact vegetation ecosystems in dry regions, particularly areas adjacent to the northern foothills of Yinshan Mountain (NYSM). However, there remains limited understanding how responds such events. Analyzing response regions drought is beneficial for protection and restoration ecosystem. This study analyzes spatiotemporal variation characteristics extreme NDVI. By employing correlation analysis geographic detectors, it explores NDVI The findings indicate a recent decline temperature concurrent rise precipitation From 2000 2020, demonstrated consistent improvement, trend expected persist future. exhibited strong negative with NDVI, whereas positive correlation. Furthermore, possess greater explanatory power variability compared research provide theoretical basis different types NYSM respond events, they inform targeted ecological measures based on varying responses these

Language: Английский

Citations

0
Multiscale Structural Patterns of Intertidal Salt Marsh Vegetation in Estuarine Wetlands and Their Interactions with Tidal Creeks DOI
Jianfang Hu,

Yan Jiapan,

Bian Zhenbang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Ecological security prediction and land use conflict identification in fragile mountain cities: a case study of Longnan, China DOI
Jun Zhang, Qingyu Guan, Yuxin Shan

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145146 - 145146

Published: Feb. 1, 2025

Language: Английский

Citations

0
Forecasting urban expansion: A dynamic urban growth model using DS-ConvLSTM to simulate multi-land regulation scenarios DOI Creative Commons

Juyeong Nam,

Changyeon Lee

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103136 - 103136

Published: April 1, 2025

Language: Английский

Citations

0
Assessing and predicting the dynamics of land use/land cover in northern Bangladesh using cellular Automata-Markov chain model DOI Creative Commons
Md. Naimur Rahman,

Md. Mushfiqus Saleheen,

Abu Reza Md. Towfiqul Islam

et al.

Geology Ecology and Landscapes, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Nov. 13, 2024

Rapid urbanization and land use changes significantly impact environmental sustainability resource management, particularly in developing regions. Therefore, this study examines the spatiotemporal dynamics of cover (LULC) Rangpur, Bangladesh, from 1991 to 2021 projects future trends 2041. Using supervised unsupervised classification techniques, along with cellular automata Markov-chain models, we assessed historical LULC predicted scenarios. Results show a 38.86% increase built-up areas (BAs) 49.86% decrease vegetation (VL) during period, accuracy above 87%. Projections indicate further loss over 210 km² VL an more than 123 urban by Notably, expansion is linked development road networks, significant growth 115.06 km2 124.33 2041 within 15-kilometer radius around city center. These findings offer crucial insights for planning, emphasizing need sustainable strategies manage protect socio-economic resilience Rangpur.

Language: Английский

Citations

1