Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area DOI Creative Commons
Chengyao Jiang, Xinyu Du, Cai Jun

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2165 - 2165

Published: Dec. 12, 2024

Land utilization—a crucial resource for human survival and development—reflects the outcomes of intricate interactions between communities their respective environments. The Jianmen Shu Road Heritage Area presents both opportunities challenges in terms protection development. Any alterations its land use landscape patterns directly impact sustainable development regional environment heritage sites. In this study, we considered three cities along Road, analyzed evolution characteristics from 2012 to 2022, used multi-criteria evaluation–cellular automata-Markov (MCE-CA-Markov) model predict 2027. results show following: (1) From forest was at greatest extent, growth rate increased, loss cropland impervious continued expand. (2) degrees fragmentation cropland, land, grassland increased; water area had highest connectivity; lowest barren degree separation. connectivity decreased, complexity diversity increased gradually stabilized. (3) Predictions 2022–2027 indicate that grassland, will increase, whereas decrease. rates decrease, (4) Further predictions density edge remaining patches increase. fragmentation, complexity, connectivity, separation increase significantly, remain stable. This study deepens our understanding how change a long-term perspective involves past future. Such research can provide information tourism management, protection, spatial planning and, thus, has important management implications similar areas other regions.

Language: Английский

Assessing and predicting changes of ecosystem service values in response to land use/land cover dynamics in Ibb City, Yemen: a three-decade analysis and future outlook DOI Creative Commons
Abdulkarem Qasem Dammag, Jian Dai, Cong Guo

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: March 11, 2024

Assessing ecosystem services values (ESV) within land use/land cover (LULC) changes is crucial for promoting human well-being and sustainable development of regional ecosystems. Yet, the spatial relationship between LULC still unclear in Yemen. This study aimed to assess impacts on ESV Ibb City, over three decades (1990–2020), predict 2050. The hybrid use classification technique classifying Landsat images, CA-Markov model prediction, benefit transfer method (BTM) assessment were employed. Our findings revealed that there was a continuous increase built-up areas barren land, with decrease cultivated grassland, which are predicted continue next 30 years. Consequently, total has decreased from US$ 68.5 × 106 1990 65.2 2020 expected further reduce 61.2 by 2050, reflecting impact urban expansion socio-economic activities ESV. provides insights future monitoring, will contribute formulation effective land-use strategies more services, particularly rapidly urbanizing data-limited regions.

Language: Английский

Citations

9
Spatio-Temporal Differentiation and Driving Factors of Land Use and Habitat Quality in Lu’an City, China DOI Creative Commons
Guandong Wang, Qingjian Zhao,

Jia Wei-guo

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 789 - 789

Published: June 3, 2024

The spatio-temporal evolution of land use/land cover (LULC) and habitat quality (HQ) is vital to maintaining ecological balance realizing regional sustainable development. Using the InVEST CA-Markov model, with Kendall coefficient as sensitivity value, LULC HQ in Lu’an City from 2000 2030 are simulated evaluated. Then, Spearman used analyze correlation between driving factors. Finally, influence policy factors on discussed. results show following: (1) 2030, mainly cropland (about 40%) forest 30%) which transferred construction land; (2) kappa 0.9097 (>0.75), indicating that prediction valid; (3) shows DEM (0.706), SLOPE (0.600), TRI (0.681), HFI (−0.687) strongly correlated HQ, while FVC (0.356) GDP (−0.368) weakly HQ; (4) main reasons for decrease increase area, vulnerability artificial forests threat factors, their low biodiversity. This study outlines exploratory research two perspectives effects provide suggestions development City.

Language: Английский

Citations

4
Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan DOI Creative Commons
Tasawer Abbas, Muhammad Shoaib, Raffaele Albano

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 154 - 154

Published: Jan. 13, 2025

Land use and land cover (LULC) changes are significantly impacting the natural environment. Human activities population growth negatively This negative impact directly relates to climate change, sustainable agriculture, inflation, food security at local global levels. Remote sensing GIS tools can provide valuable information about change detection. study examines correlation between rate LULC dynamics in three districts of South Punjab, Pakistan—Multan, Bahawalpur, Dera Ghazi Khan—over a 30-year period from 2003 2033. Landsat 7, 8, Sentinel-2 satellite imagery within Google Earth Engine (GEE) cloud platform was utilized create 2003, 2013, 2023 maps via supervised classification with random forest (RF) classifier, which is subset artificial intelligence (AI). achieved over 90% overall accuracy kappa value 0.9 for classified maps. into built-up, vegetation, water, barren classes Multan an additional “rock” class included Khan due its unique topography. (2003, 2023) were prepared validated using Engine. Future predictions 2033 generated MOLUSCE model QGIS. The results indicated substantial urban expansion as built-up areas increased 8.36% 25.56% 2033, vegetation displaying decreasing trends 82.96% 70% 7.95% 3.5%, respectively. Moreover, containing water fluctuated ultimately changed 0.73% 0.9% In grew 1.33% 5.80% while decreased 79.13% 74.31%. expressed significant increases 2.29% 12.21% 22.53% 44.72%, respectively, alongside reductions rock 32.82% 10.83% 41.23% 31.2%, Population projections compound each district emphasize demographic on changes. These findings focus need policies manage unplanned sprawl environmentally practices. provides critical awareness policy makers planners aiming balance environmental sustainability.

Language: Английский

Citations

0
Space-Time Estimation of Built-Up Landscape of Ilorin Metropolis, Nigeria DOI
Olalekan Tolulope B. Aduloju, Abdulfatai Olanrewaju Anofi,

Akeem A. Atolagbe

et al.

Papers in Applied Geography, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 21, 2025

Language: Английский

Citations

0
Integration of multi-layer perceptron neural network and cellular Automata-Markov chain approach for the prediction of land use land cover in land change modeler DOI

Preetam Choudhary,

C. P. Devatha,

Adani Azhoni

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 506, P. 111162 - 111162

Published: May 1, 2025

Language: Английский

Citations

0
Cultural Heritage Sites Risk Assessment and Management Using a Hybridized Technique Based on GIS and SWOT-AHP in the Ancient City of Ibb, Yemen DOI

Basema Qasim Derhem Dammag,

Jian Dai, Abdulkarem Qasem Dammag

et al.

International Journal of Architectural Heritage, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 36

Published: July 1, 2024

The conservation of Cultural Heritage (CH) sites is vital for conserving a nation's historical, architectural, and socio-cultural identity, especially in areas like Yemen, where such are threatened by natural hazards, urban development, various anthropogenic activities. This study addresses these challenges introducing comprehensive risk assessment management framework, with focused case on the ancient city Ibb – region significant CH. employs novel hybridized approach that combines Geographic Information Systems (GIS) Strength, Weakness, Opportunity, Threat (SWOT) Analytic Hierarchy Process (AHP) to identify thirteen critical factors influencing site suitability. These classified into categories systematically analyzed using GIS techniques. Additionally, identified evaluated 16 SWOT structured questionnaire surveys, which inform an integrated AHP methodology. findings revealed area mainly from very high low-risk areas, representing (37.2%), (24.3%), moderate (17.7%), low (12.3%), (8.5%), total area, indicating most them highly hazardous environments, necessitating urgent attention implementation protective measures. offers valuable insights optimization strategies safeguarding CH City Ibb. It particularly useful policymakers, conservationists, local stakeholders, providing scalable can be adapted manage risks at other facing similar threats, thus making contribution field heritage management.

Language: Английский

Citations

3
Optimization Strategies of Sustainable Urban Land Use Planning Using a Hybridized Technique Based on SWOT-AHP, and GIS in Ibb City, Yemen DOI Creative Commons
Abdulkarem Qasem Dammag, Jian Dai,

Basema Qasim Derhem Dammag

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 15, 2024

Abstract The high rate of population growth led to migration from rural urban settlements, causing unregulated growth, sprawls, and inefficiencies in city planning developing countries. yet, regions like Yemen, rapid urbanization poses significant challenges for planners. Addressing these challenges, this study proposes an innovative approach the context Ibb City, a region grappling with inefficient land use. identifies gap integration strategic technological tools areas. utilized SWOT technology examine internal external factors, AHP method prioritize factors make them measurable, GIS geospatial zonal analysis. This integrated provides comprehensive evaluation affecting use, focus on quantifying priorities sustainable development. study's results offer detailed assessment social, economic, infrastructure, environmental aspects highlighting interaction between elements planning. Importantly, findings extend beyond local context, presenting scalable adaptable model planning, particularly countries similar dynamics. underscores critical role strategic, data-driven fostering environments, offering insights policymakers planners growth.

Language: Английский

Citations

0
Understanding land use and land cover change in a prolonged conflict affected farming system: the case of Tuban district, Yemen DOI Creative Commons

Molla Mekonnen Alemu,

Hussein Gadain, Brigadier Libanda

et al.

Journal of Agricultural Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

A growing body of evidence suggests the worsened decline in productivity land resources is cascading risks on vulnerable populations Yemen, but recent research rarely focuses this geographical area. This study uses most extended space-based dataset, Landsat, to evaluate use and cover change from 1993 2023 Tuban district, a threatened biodiversity hotspot Yemen. The paper also assessed drivers suggested recommendations. Based information obtained field observations, adopted six types (annual cropland, perennial farmland, shrubland, riverine trees, settlement, bare land). Results showed that between 2023, yearly cropland vegetation decreased by 30.19% 52.55%, respectively. Likewise, shrubland 63.35% decrease. On other hand, settlement area increased 574.12% 15.81%, Population growth, shortage rain, desert locusts, lack/shortage agricultural inputs, impacts ongoing conflict civil war have contributed change. To halt harmful effects change, awareness development, development locally adaptive improved seeds, afforestation, institutional capacity interventions are as likely solutions.

Language: Английский

Citations

0
Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area DOI Creative Commons
Chengyao Jiang, Xinyu Du, Cai Jun

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2165 - 2165

Published: Dec. 12, 2024

Land utilization—a crucial resource for human survival and development—reflects the outcomes of intricate interactions between communities their respective environments. The Jianmen Shu Road Heritage Area presents both opportunities challenges in terms protection development. Any alterations its land use landscape patterns directly impact sustainable development regional environment heritage sites. In this study, we considered three cities along Road, analyzed evolution characteristics from 2012 to 2022, used multi-criteria evaluation–cellular automata-Markov (MCE-CA-Markov) model predict 2027. results show following: (1) From forest was at greatest extent, growth rate increased, loss cropland impervious continued expand. (2) degrees fragmentation cropland, land, grassland increased; water area had highest connectivity; lowest barren degree separation. connectivity decreased, complexity diversity increased gradually stabilized. (3) Predictions 2022–2027 indicate that grassland, will increase, whereas decrease. rates decrease, (4) Further predictions density edge remaining patches increase. fragmentation, complexity, connectivity, separation increase significantly, remain stable. This study deepens our understanding how change a long-term perspective involves past future. Such research can provide information tourism management, protection, spatial planning and, thus, has important management implications similar areas other regions.

Language: Английский

Citations

0