Author
Listed:
- Mahzabin Akhter
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh)
- Md. Mahmudul Hasan
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh)
- Barbara Sneha Gomes
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh)
- Afroja Khanam Sonia
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh)
- Khandoker Mariatul Islam
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh)
- Most. Mitu Akter
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh
Department of Environmental Science and Technology, Mie University, 1577 Kurimamachi Yacho, Tsu 514-0102, Japan)
- N. M. Refat Nasher
(Department of Geography & Environment, Jagannath University, Dhaka 1100, Bangladesh
Data-Driven Research on Environment and AI Modelling (DREAM Lab), Jagannath University, Dhaka 1100, Bangladesh)
- Wafa Saleh Alkhuraiji
(Department of Geography and Environmental Sustainability, College of Humanities and Social Sciences, Princess Nourah Bint Abdulrahman University, P.O. BOX 84428, Riyadh 11671, Saudi Arabia)
- Zoe Kanetaki
(Department of Mechanical Engineering, University of West Attica, 12241 Athens, Greece)
- Mohamed Zhran
(Public Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt)
Abstract
Landscape Ecological Risk (LER) reflects the potential adverse effects of landscape change on ecological structure, function, and stability. In rapidly urbanizing megacities such as Dhaka, vegetation loss and built-up expansion have intensified environmental pressure over recent decades. This study examines the spatiotemporal dynamics of LER in Dhaka from 2004 to 2024 under the combined influence of vegetation change and urban expansion. Multi-temporal remote sensing data were used to generate land cover maps, derive Fractional Vegetation Cover (FVC), and quantify urbanization intensity using Nighttime Light (NTL) data. The Landscape Ecological Risk Index (LERI) was calculated using landscape pattern metrics, while bivariate spatial autocorrelation and geographically weighted regression (GWR) were applied to examine spatial associations and local spatial heterogeneity. The results show that vegetation degradation affected 34.39% of the study area during 2004–2024, while high-risk zones increased from 24.36% in 2004 to 42.95% in 2024. Land cover analysis further indicates a substantial expansion of built-up areas, accompanied by the contraction and fragmentation of vegetation, agricultural land, and lowland classes. Spatial analyses reveal that the relationships among vegetation cover, urbanization intensity, and ecological risk vary across the city and became increasingly spatially differentiated over time. These findings suggest that vegetation loss and urban expansion are spatially associated with increasing ecological risk in Dhaka. However, the results should be interpreted with caution because of uncertainties related to remotely sensed data, unsupervised land cover classification, resampling procedures, and limited ground validation. Despite these limitations, the study provides a spatially explicit framework for understanding ecological risk dynamics and offers useful evidence for green-space conservation, ecological restoration, and sustainable urban planning in rapidly urbanizing regions.
Suggested Citation
Mahzabin Akhter & Md. Mahmudul Hasan & Barbara Sneha Gomes & Afroja Khanam Sonia & Khandoker Mariatul Islam & Most. Mitu Akter & N. M. Refat Nasher & Wafa Saleh Alkhuraiji & Zoe Kanetaki & Mohamed Zhr, 2026.
"Spatiotemporal Dynamics of Landscape Ecological Risk Under Vegetation Loss and Urban Expansion in Dhaka,"
Sustainability, MDPI, vol. 18(12), pages 1-31, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:12:p:5986-:d:1964927
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