Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30024
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dc.contributor.authorKogo, Benjamin Kipkemboien
dc.contributor.authorKumar, Laliten
dc.contributor.authorKoech, Richarden
dc.date.accessioned2021-02-04T02:53:11Z-
dc.date.available2021-02-04T02:53:11Z-
dc.date.issued2019-04-
dc.identifier.citationRemote Sensing Applications: Society and Environment, v.14, p. 75-83en
dc.identifier.issn2352-9385en
dc.identifier.urihttps://hdl.handle.net/1959.11/30024-
dc.description.abstractDeforestation poses a threat to sustainability of forest ecosystem services and socio-economic development in many parts of Kenya. Understanding the trend and extent of forest cover changes and the underlying driving forces over time is pertinent for sustainable management of ecosystems. However, in many parts of the country, such information is still somewhat unknown due to limited data availability for multi-temporal analysis. This paper focuses on western Kenya, a major agricultural region of biodiversity and water catchments that are under threat from forest cover dynamics. The study analyses the status of the forests in the region with the aim of determining the areal extent of coverage, trends in forest cover, drivers of change and associated impacts of deforestation. To achieve these objectives, remote sensing techniques were used to undertake supervised classification on Landsat images of 1995, 2001, 2010 and 2017 with classification scheme of forest and non-forest land cover classes. The results of the study showed that the changes in forest cover varied over time and space. There was considerable net gain in forest areas by about 43% between the period 1995–2001, and thereafter, a continuous decrease ending in a 12.5% loss by 2017. Deforestation in the region is caused by a combination of complex factors that include population pressure, politics and failures in implementation of policy. This study determined the forest cover dynamics and driving forces across diversified sub-basins, an approach that had not been used by previous studies in the region. Thus, the findings will provide valuable information for decision making pertaining to integrated land use and catchment management in order to realize the enormous benefits of sustainable forest ecosystems. The information will not only be important to the study area, but equally applicable to similar tropical regions.en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofRemote Sensing Applications: Society and Environmenten
dc.titleForest cover dynamics and underlying driving forces affecting ecosystem services in western Kenyaen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.rsase.2019.02.007en
local.contributor.firstnameBenjamin Kipkemboien
local.contributor.firstnameLaliten
local.contributor.firstnameRicharden
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.for2008050204 Environmental Impact Assessmenten
local.subject.seo2008960604 Environmental Management Systemsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailbkogo@myune.edu.auen
local.profile.emaillkumar@une.edu.auen
local.profile.emailrkoech@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeNetherlandsen
local.format.startpage75en
local.format.endpage83en
local.identifier.scopusid85061784584en
local.peerreviewedYesen
local.identifier.volume14en
local.contributor.lastnameKogoen
local.contributor.lastnameKumaren
local.contributor.lastnameKoechen
dc.identifier.staffune-id:bkogoen
dc.identifier.staffune-id:lkumaren
dc.identifier.staffune-id:rkoechen
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/30024en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleForest cover dynamics and underlying driving forces affecting ecosystem services in western Kenyaen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorKogo, Benjamin Kipkemboien
local.search.authorKumar, Laliten
local.search.authorKoech, Richarden
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000654326400007en
local.year.published2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/fd65b758-84ff-419c-b345-234939733f98en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.for2020410402 Environmental assessment and monitoringen
local.subject.seo2020189999 Other environmental management not elsewhere classifieden
Appears in Collections:Journal Article
School of Environmental and Rural Science
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