Urban Expansion, Green Infrastructure Decline, and Windstorm Vulnerability in Bauchi: Mapping, Matrix, and Correlation Analyses
Authors
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Abdulkadir Aliyu
Department of Urban and Regional Planning, Faculty of Environmental Technology, Abubakar Tafawa Balewa University (ATBU), Bauchi 740272, Nigeria
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Luka Fitto Buba
Department of Environmental Management, Faculty of Earth and Environmental Science, Bayero University, Kano 700261, Nigeria
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Kamil Muhammad Kafi
Department of Urban and Regional Planning, Faculty of Earth and Environmental Science, Bayero University, Kano 700261, Nigeria
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Rasheed Osuolale Oladosu
Department of Urban and Regional Planning, Faculty of Environmental Technology, Abubakar Tafawa Balewa University (ATBU), Bauchi 740272, Nigeria
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Mohammed Abdulkadir
Department of Urban and Regional Planning, Faculty of Environmental Technology, Abubakar Tafawa Balewa University (ATBU), Bauchi 740272, Nigeria
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Mubina Auwal Muallim
Department of Urban and Regional Planning, Faculty of Earth and Environmental Science, Bayero University, Kano 700261, Nigeria
DOI:
https://doi.org/10.55121/upc.v4i1.1158Abstract
Rapid urbanization across the Global South has led to a substantial decline in urban vegetation, increasing the exposure of cities to climate-related hazards. In Sub-Saharan Africa, this trend has heightened vulnerability to extreme weather events, particularly windstorms. Bauchi, a fast-growing city in Nigeria, has recently experienced severe and recurring windstorm damage, raising concerns about the role of urban expansion in shaping disaster risk. This study investigates the relationship between urban growth and windstorm vulnerability using a multi-method quantitative approach. Spatio-temporal analysis of land use/land cover (LULC), an urban vulnerability matrix, and linear correlation analysis were integrated to examine changes in urban green infrastructure (UGI) and expansion dynamics over 20 years (2004–2024). The findings indicate rapid urban expansion accompanied by a significant transformation of vegetation structure. Dense and moderately dense vegetation declined by 59% and 26%, respectively, while sparse vegetation increased by 51%, expanding from 122 km2 to 250 km2. This shift reflects a progressive degradation of UGI, resulting in the loss of natural wind-buffering capacity and increased exposure of the built environment to windstorm impacts. The study proposes a conceptual framework that repositions UGI as a strategic tool for enhancing urban resilience. The findings underscore the urgent need to embed UGI strategies into revised urban master plans to reduce risk, protect infrastructure, and support a more resilient and sustainable urban future for Bauchi.
Keywords
Vegetation, Green Infrastructure, Windstorm, RiskReferences
[1] Aliyu, A., Buba, L.F., Oladosu, R.O., 2026. Climate Resilience in Sub-Saharan African Cities: The State of Vegetation as Green Infrastructure in Bauchi Metropolis and a Framework for Reducing Windstorm Risk. SSRN Electronic Journal. 5811022. DOI: https://doi.org/10.2139/ssrn.5811022
[2] Kumar, P., Debele, S., Tiwari, A., et al., 2024. Urban Green Infrastructure. In: Yao, R. (Ed.). Resilient Urban Environments, Cities and Nature. Springer Nature: Cham, Switzerland. pp. 189–218. DOI: https://doi.org/10.1007/978-3-031-55482-7_11
[3] Xiao, C., Wu, Y., Zhu, X., 2023. Evaluation of the Monitoring Capability of 20 Vegetation Indices and 5 Mainstream Satellite Band Settings for Drought in Spring Wheat Using a Simulation Method. Remote Sensing. 15(19), 4838. DOI: https://doi.org/10.3390/rs15194838
[4] Alhasaani, Z.S., Abdulameer, L., Nile, B.K., 2025. Urban land use change and sewer system resilience: a comprehensive review. Innovative Infrastructure Solutions. 10(12), 545. DOI: https://doi.org/10.1007/s41062-025-02360-9
[5] Hanna, E., Bruno, D., Comín, F.A., 2024. The ecosystem services supplied by urban green infrastructure depend on their naturalness, functionality and imperviousness. Urban Ecosystems. 27(1), 187–202. DOI: https://doi.org/10.1007/s11252-023-01442-9
[6] Esmail, B.A., Cortinovis, C., Suleiman, L., et al., 2022. Greening cities through urban planning: A literature review on the uptake of concepts and methods in Stockholm. Urban Forestry & Urban Greening. 72, 127584. DOI: https://doi.org/10.1016/j.ufug.2022.127584
[7] Othman, M.A., Ash’aari, Z.H., Aris, A.Z., et al., 2018. Tropical deforestation monitoring using NDVI from MODIS satellite: A case study in Pahang, Malaysia. IOP Conference Series: Earth and Environmental Science. 169, 012047. DOI: https://doi.org/10.1088/1755-1315/169/1/012047
[8] Sikorska, D., Wojnowska-Heciak, M., Heciak, J., et al., 2023. Rethinking urban green spaces for urban resilience. Do green spaces need adaptation to meet public post-covid expectations? Urban Forestry & Urban Greening. 80, 127838. DOI: https://doi.org/10.1016/j.ufug.2023.127838
[9] Ferrara, C., Puletti, N., Guasti, M., et al., 2023. Mapping Understory Vegetation Density in Mediterranean Forests: Insights from Airborne and Terrestrial Laser Scanning Integration. Sensors. 23(1), 511. DOI: https://doi.org/10.3390/s23010511
[10] Morpurgo, J., Huurdeman, M.A., Oostermeijer, J.G.B., et al., 2024. Vegetation density is the main driver of insect species richness and diversity in small private urban front gardens. Urban Forestry & Urban Greening. 101, 128531. DOI: https://doi.org/10.1016/j.ufug.2024.128531
[11] Pataki, D.E., Alberti, M., Cadenasso, M.L., et al., 2021. The Benefits and Limits of Urban Tree Planting for Environmental and Human Health. Frontiers in Ecology and Evolution. 9, 603757. DOI: https://doi.org/10.3389/fevo.2021.603757
[12] Zölch, T., Maderspacher, J., Wamsler, C., et al., 2016. Using green infrastructure for urban climate-proofing: An evaluation of heat mitigation measures at the micro-scale. Urban Forestry & Urban Greening. 20, 305–316. DOI: https://doi.org/10.1016/j.ufug.2016.09.011
[13] Kumar, P., Corada, K., Debele, S.E., et al., 2024. Air pollution abatement from Green-Blue-Grey infrastructure. The Innovation Geoscience. 2(4), 100100. DOI: https://doi.org/10.59717/j.xinn-geo.2024.100100
[14] Bagas, P., 2018. Placemaking Dynamics of Green Space Production in Urban Kampung Setting: A Case Study in Jakarta, Indonesia [PhD Thesis]. RMIT University: Melbourne, Australia. DOI: https://doi.org/10.13140/RG.2.2.17698.15045
[15] Kafi, K.M., Ponrahono, Z., Ash’aari, Z.H., et al., 2025. Flood risk prediction and modeling in Bauchi: Leveraging machine learning models and explainable AI for urban resilience. The Journal of Climate Change and Health. 26, 100490. DOI: https://doi.org/10.1016/j.joclim.2025.100490
[16] Woldai, T., 2020. The status of Earth Observation (EO) & Geo-Information Sciences in Africa—trends and challenges. Geo-spatial Information Science. 23(1), 107–123. DOI: https://doi.org/10.1080/10095020.2020.1730711
[17] Hao, Z., Haseeb, M., Xiangtian, Z., et al., 2025. Multitemporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18, 1876–1895. DOI: https://doi.org/10.1109/JSTARS.2024.3509133
[18] Kafi, K.M., Ponrahono, Z., 2024. Advances in weather and climate extreme studies: A systematic comparative review. Discover Geoscience. 2(1), 66. DOI: https://doi.org/10.1007/s44288-024-00079-1
[19] Jahani, A., Saffariha, M., 2021. Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques. Scientific Reports. 11(1), 1124. DOI: https://doi.org/10.1038/s41598-020-80426-7
[20] Kafi, K.M., Ponrahono, Z., 2025. Weather and climate extremes in Nigeria: Modeling the perceived impact of spatial planning and community practices on windstorm and flood exposure using PLS-SEM and correlogram. International Journal of Disaster Risk Reduction. 124, 105554. DOI: https://doi.org/10.1016/j.ijdrr.2025.105554
[21] Barau, A.S., Kafi, K.M., Sodangi, A.B., et al., 2023. Recreating African biophilic urbanism: The roles of millennials, native trees, and innovation labs in Nigeria. Cities & Health. 7(2), 213–223. DOI: https://doi.org/10.1080/23748834.2020.1763892
[22] Cheng, Y., Farmer, J.R., Dickinson, S.L., et al., 2021. Climate change impacts and urban green space adaptation efforts: Evidence from U.S. municipal parks and recreation departments. Urban Climate. 39, 100962. DOI: https://doi.org/10.1016/j.uclim.2021.100962
[23] Singh, R., 2023. Wind Erosion. In Soil and Water Conservation Structures Design, Water Science and Technology Library. Springer Nature: Singapore. pp. 297–322. DOI: https://doi.org/10.1007/978-981-19-8665-9_11
[24] Nowak, D.J., Hirabayashi, S., Bodine, A., et al., 2014. Tree and forest effects on air quality and human health in the United States. Environmental Pollution. 193, 119–129. DOI: https://doi.org/10.1016/j.envpol.2014.05.028
[25] Dipeolu, A.A., Ibem, E.O., Fadamiro, J.A., et al., 2021. Influence of green infrastructure on residents’ self-perceived health benefits in Lagos metropolis, Nigeria. Cities. 118, 103378. DOI: https://doi.org/10.1016/j.cities.2021.103378
[26] Mumuni, A.S., Mensah, H., Asamoah, S., et al., 2025. A systematic review on the causes and effects of urbanization on wetlands in Sub-Saharan Africa. Urbanization, Sustainability and Society. 2(1), 155–179. DOI: https://doi.org/10.1108/USS-10-2024-0063
[27] Abdulqadir, I.A., 2024. Urbanization, renewable energy, and carbon dioxide emissions: A pathway to achieving sustainable development goals (SDGs) in sub-Saharan Africa. International Journal of Energy Sector Management. 18(2), 248–270. DOI: https://doi.org/10.1108/IJESM-11-2022-0032
[28] Sahoo, S., Pan, S., 2024. Assessing of LULC and Climate Change in Kolkata Urban Agglomeration Using MOLUSCE Model. In: Shit, P.K., Dutta, D., Das, T.K., et al. (Eds.). Geospatial Practices in Natural Resources Management, Environmental Science and Engineering. Springer International Publishing: Cham, Switzerland. pp. 19–30. DOI: https://doi.org/10.1007/978-3-031-38004-4_2
[29] Zhang, P., Dong, Y., Ren, Z., et al., 2023. Rapid urbanization and meteorological changes are reshaping the urban vegetation pattern in urban core area: A national 315-city study in China. Science of The Total Environment. 904, 167269. DOI: https://doi.org/10.1016/j.scitotenv.2023.167269
[30] Adegun, O.B., 2021. Green Infrastructure Can Improve the Lives of Slum Dwellers in African Cities. Frontiers in Sustainable Cities. 3, 621051. DOI: https://doi.org/10.3389/frsc.2021.621051
[31] Aliyu, A., Istifanus, V., Babanyara, Y.Y., et al., 2019. Characteristics and health risks of domestic wastewater in Dawaki ward, Bauchi. Bauchi State-Nigeria. American Journal of Engineering Research (AJER). 8(5). Available from: https://www.ajer.org/papers/Vol-8-issue-5/ZZO0805337343.pdf
[32] Lanzai, H.A., Abubakar, A., Mohammed, U.A., 2023. Determination of different storage techniques and shelf life on onion (Allium sepa L.) bulbs. Bima Journal of Science and Technology. 7(4), 243–249. Available from: https://www.researchgate.net/publication/377233910_Determination_of_Different_Storage_Techniques_and_shelf_life_on_ONION_Allium_sepa_L_bulbs
[33] Isyaku, I., Wali, U., Aleem, K., 2024. Temporal changes in land use land cover of Bauchi metropolis, Nigeria. Journal of Biodiversity and Environmental Research. 6(4). Available from: https://ssaapublications.com/index.php/sjber/article/view/337
[34] Tijani, M.N., 2023. Geology of Nigeria. In: Faniran, A., Jeje, L.K., Fashae, O.A., et al. (Eds.). Landscapes and Landforms of Nigeria, World Geomorphological Landscapes. Springer Nature: Cham, Switzerland. pp. 3–32. DOI: https://doi.org/10.1007/978-3-031-17972-3_1
[35] Nodza, G.I., Tochukwu, E., Igbari, A.D., et al., 2024. Application of IUCN Red List Criteria for Assessment of Some Savanna Trees of Nigeria, West Africa. DOI: https://doi.org/10.21203/rs.3.rs-4187370/v1
[36] Govindarajulu, D., 2014. Urban green space planning for climate adaptation in Indian cities. Urban Climate. 10, 35–41. DOI: https://doi.org/10.1016/j.uclim.2014.09.006
[37] Wu, W., Chen, W.Y., Yun, Y., et al., 2022. Urban greenness, mixed land-use, and life satisfaction: Evidence from residential locations and workplace settings in Beijing. Landscape and Urban Planning. 224, 104428. DOI: https://doi.org/10.1016/j.landurbplan.2022.104428
[38] Kafi, K.M., Ponrahono, Z., 2026. Unraveling Key Vulnerability Predictors Exacerbating Windstorm Risk in Nigerian City Using Artificial Intelligence. In: Pradhan, B., Gite, S., Mukhopadhyay, S. (Eds.). Advancements in IoT Sensors and Security, Smart Sensors, Measurement and Instrumentation. Springer Nature: Cham, Switzerland. pp. 643–670. DOI: https://doi.org/10.1007/978-3-032-05507-1_28
[39] Tuoku, L., Wu, Z., Men, B., 2024. Impacts of climate factors and human activities on NDVI change in China. Ecological Informatics. 81, 102555. DOI: https://doi.org/10.1016/j.ecoinf.2024.102555
[40] Bajocco, S., Ginaldi, F., Savian, F., et al., 2022. On the Use of NDVI to Estimate LAI in Field Crops: Implementing a Conversion Equation Library. Remote Sensing. 14(15), 3554. DOI: https://doi.org/10.3390/rs14153554
[41] Kafi, K.M., Ibrahim, S., Aliyu, F.U., et al., 2024. Impact of LULC spatial dynamics on incompatible mixed land use in Kaduna: A remote sensing and GIS risk analysis. Eco Cities. 5(2), 2818. DOI: https://doi.org/10.54517/ec.v5i2.2818
[42] Baghel, S., Kothari, M.K., Tripathi, M.P., et al., 2024. Spatiotemporal LULC change detection and future prediction for the Mand catchment using MOLUSCE tool. Environmental Earth Sciences. 83(2), 66. DOI: https://doi.org/10.1007/s12665-023-11381-5
[43] Wang, Y., Sha, Z., Tan, X., et al., 2020. Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression. Computers, Environment and Urban Systems. 81, 101482. DOI: https://doi.org/10.1016/j.compenvurbsys.2020.101482
[44] Kafi, K.M., Barau, A.S., Aliyu, A., 2021. The effects of windstorm in African medium-sized cities: An analysis of the degree of damage using KDE hotspots and EF-scale matrix. International Journal of Disaster Risk Reduction. 55, 102070. DOI: https://doi.org/10.1016/j.ijdrr.2021.102070
[45] Groenemeijer, P., Holzer, A.M., Kühne, T., et al., 2023. The International Fujita Scale and its implementation. In Proceedings of the 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023. DOI: https://doi.org/10.5194/ecss2023-151
[46] Kafi, K.M., Aliyu, A., Olugbodi, K.H., et al., 2019. Urban Infrastructure and Buildings in Ruins: Damage Severity Mapping of Neighborhoods Affected by the June 2018 Windstorm in Bauchi. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-4/W16, 327–330. DOI: https://doi.org/10.5194/isprs-archives-XLII-4-W16-327-2019
[47] Aliyu, A., Babanyara, Y.Y., Wasinya, H., 2024. Trends of Geospatial Expansion of Bauchi Urban Area and its Associated Environmental Planning Issues. IOSR Journal of Environmental Science Toxicology and Food Technology. 18(5), 1–5. Available from: https://www.researchgate.net/publication/380825518_Trends_Of_Geospatial_Expansion_Of_Bauchi_Urban_Area_And_Its_Associated_Environmental_Planning_Issues
[48] Kafi, K.M., 2026. Mapping the impacts of recurrent floods and windstorms in Bauchi, Nigeria: A hybrid multi-criteria approach using fuzzy-AHP. Frontiers in Earth Science. 14, 1783655. DOI: https://doi.org/10.3389/feart.2026.1783655
[49] Naskar, J., Kumar Jha, A., Singh, T.N., et al., 2025. Climate Change and Soil Resilience: A Critical Appraisal on Innovative Techniques for Sustainable Ground Improvement and Ecosystem Protection. Journal of Hazardous, Toxic, and Radioactive Waste. 29(4), 03125002. DOI: https://doi.org/10.1061/JHTRBP.HZENG-1465
[50] Yao, L., Liu, T., Qin, J., et al., 2024. Carbon sequestration potential of tree planting in China. Nature Communications. 15(1), 8398. DOI: https://doi.org/10.1038/s41467-024-52785-6
[51] Jin, S., Zhang, E., Guo, H., et al., 2023. Comprehensive evaluation of carbon sequestration potential of landscape tree species and its influencing factors analysis: implications for urban green space management. Carbon Balance and Management. 18(1), 17. DOI: https://doi.org/10.1186/s13021-023-00238-w
[52] Aigbokhan, O.J., Adedeji, O.H., Oladoye, A.O., et al., 2023. Dynamics of Urban Landscape and Its Thermal Interactions with Selected Land Cover Types: A Case of Benin City, Nigeria. Journal of Applied Life Sciences and Environment. 56(2(194)/2023), 245–272. DOI: https://doi.org/10.46909/alse-562099
[53] Oyesanmi, O.O., Ukoje, O.S., 2025. Geospatial Analysis of Vegetation Health Response to Urbanisation and Land Use/Land Cover Changes in Lokoja, Nigeria Using NDVI. Integral Research. 2(4), 49–72. Available from: https://integralresearch.in/index.php/1/article/view/271
[54] Aduloju, O.T., Anofi, A.O., Chukwu, M.T., et al., 2025. Space–Time Analysis of Urban Green Spaces’ Disappearance in Ilorin, Nigeria. The Professional Geographer. 77(2), 169–185. DOI: https://doi.org/10.1080/00330124.2024.2435084
[55] Okonkwo, U.U., Babatunde, E.T., Onuche, P.U.-O., et al., 2025. Transforming the Urban Environmental Aesthetics of the Nigerian City through the Introduction of Advanced GeoAI Technologies: Issues and Challenges. Journal of Geography, Environment and Earth Science International. 29(5), 110–124. DOI: https://doi.org/10.9734/jgeesi/2025/v29i5897
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Copyright (c) 2026 Abdulkadir Aliyu, Luka Fitto Buba, Kamil Muhammad Kafi, Rasheed Osuolale Oladosu, Mohammed Abdulkadir, Mubina Auwal Muallim
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