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dc.contributor.authorSang, Catherine C.
dc.contributor.authorOlago, Daniel O.
dc.contributor.authorNyumba, Tobias O.
dc.contributor.authorMarchant, Robert A.
dc.contributor.authorThorn, Jessica P. R.
dc.date.accessioned2022-05-19T16:30:06Z
dc.date.available2022-05-19T16:30:06Z
dc.date.issued2022-05-19
dc.identifier.citationSang , C C , Olago , D O , Nyumba , T O , Marchant , R A & Thorn , J P R 2022 , ' Assessing the underlying drivers of change over two decades of land use and land cover dynamics along the Standard Gauge Railway corridor, Kenya ' , Sustainability , vol. 14 , no. 10 , 6158 . https://doi.org/10.3390/su14106158en
dc.identifier.issn2071-1050
dc.identifier.otherPURE: 279662774
dc.identifier.otherPURE UUID: ec54e34f-87cd-4a2c-94eb-28d997d39785
dc.identifier.otherORCID: /0000-0003-2108-2554/work/117568930
dc.identifier.otherScopus: 85131252342
dc.identifier.urihttp://hdl.handle.net/10023/25416
dc.descriptionWe acknowledge funding from the UK Research and Innovation’s Global Challenges Research Fund (UKRI GCRF) through the Development Corridors Partnership project (project number: ES/P011500/1).en
dc.description.abstractLand cover has been modified by anthropogenic activities for thousands of years, although the speed of change has increased in recent decades, particularly driven by socio-economic development. The development of transport infrastructure can accelerate land use land cover change, resulting in impacts on natural resources such as water, biodiversity, and food production. To understand the interaction between land cover and social–ecological drivers, changing land cover patterns and drivers of change must be identified and quantified. This study documents land cover dynamics along the Standard Gauge Railway (SGR) corridor in Kenya and evaluates the underlying drivers of this change from 2000 to 2019. The study utilised GIS and remote sensing techniques to assess the land use and land cover changes along the SGR corridor, while correlational and regression analyses were used to evaluate various drivers of the changes. Results showed that built-up areas, bare lands, water bodies, croplands and forests increased by 144.39%, 74.73%, 74.42%, 9.32% and 4.85%, respectively, while wetlands, grasslands and shrub lands reduced by 98.54%, 67.00% and 33.86%, respectively. The underlying drivers responsible for these land use and land cover dynamics are population growth, urbanisation, economic growth and agro-ecological factors. Such land cover changes affect environmental sustainability, and we stress the need to adequately identify and address the cumulative social and environmental impacts of mega-infrastructure projects and their interacting investments. The findings of this study provide an evidence base for the evaluation of the social–ecological impacts of the SGR and the implementation of best practices that will lead to enhanced sustainability in the development corridors in Kenya and beyond.
dc.language.isoeng
dc.relation.ispartofSustainabilityen
dc.rightsCopyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en
dc.subjectDevelopment corridorsen
dc.subjectSustainabilityen
dc.subjectHuman activitiesen
dc.subjectLandscape dynamicsen
dc.subjectInfrastructureen
dc.subjectG Geography (General)en
dc.subjectDASen
dc.subject.lccG1en
dc.titleAssessing the underlying drivers of change over two decades of land use and land cover dynamics along the Standard Gauge Railway corridor, Kenyaen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.3390/su14106158
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.mdpi.com/2071-1050/14/10/6158/htmen


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