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dc.contributorVagen, Tor-Gunnaren_US
dc.contributorKinnaird, Margareten_US
dc.contributorO'Brien, Timothyen_US
dc.creatorWinowiecki, Leighen_US
dc.identifier.citationLeigh Winowiecki, Tor-Gunnar Vagen, Margaret Kinnaird, Timothy O'Brien. (1/10/2018). Application of systematic monitoring and mapping techniques: Assessing land restoration potential in semi-arid lands of Kenya. Geoderma, 327, pp. 107-118.en_US
dc.description.abstractDrylands cover over 40% of the earth's surface and support over 2 billion people, globally (Millennium Ecosystem Assessment, 2005). In East Africa alone, over 250 million people depend on drylands for their livelihoods (De Leeuw et al., 2014) and in Kenya, 70% of the total land area is classified as arid- and semi-arid (Batjes, 2004). Over the last several decades, an increasing and more sedentary human population has resulted in more pressure on these lands, and an expansion of agricultural production into marginal dryland areas that were traditionally rangelands. The result is widespread soil loss and land degradation, as well as increased pressure on protected areas and more frequent human-wildlife conflict in Kenya (Laikipia Wildlife Forum, 2012;Nyamwamu,2016).Thesefactors,combinedwithclimate change and erratic rainfall, continue to increase the vulnerability ofdrylands in East Africa (Darkoh, 1998). However, drylands are also considered to have an important role in mitigating climate change (Lal, 2004; Neely et al., 2009; Neely and De Leeuw, 2008), are important biodiversity hot-spots and support a diversity of livelihoods (Mortimore, 2009). While land degradation is recognized as a major cause of low agricultural and rangeland productivity, estimates of land degradation within the drylands remain poor and hence also vary widely. For example, the (Millennium Ecosystem Assessment, 2005) estimated that between10%and70%ofglobaldrylands aredegraded.Theapplication of remote sensing, coupled with systematic field assessments, for monitoring, assessing and mapping land degradation patterns and severity within landscapes has the potential to significantly improve current estimates of land degradation, while at the same time allowing for spatially explicit targeting of restoration options and monitoring of change over time. Such advances will also ultimately make assessments of the drivers of land degradation in drylands possible, which is critical for successful restoration and for avoiding further degradation.en_US
dc.publisherElsevier (12 months)en_US
dc.sourceGeoderma;327,(2018) Pagination 107,118en_US
dc.titleApplication of systematic monitoring and mapping techniques: Assessing land restoration potential in semi-arid lands of Kenyaen_US
dc.typeJournal Articleen_US
cg.creator.idWinowiecki, Leigh: 0000-0001-5572-1284en_US
cg.subject.agrovocland degradationen_US
cg.subject.agrovocremote sensingen_US
cg.subject.agrovocland restorationen_US
cg.contributor.centerWorld Agroforestry Center - ICRAFen_US
cg.contributor.centerWorld Wildlife Fund - WWFen_US
cg.contributor.centerWildlife Conservation Society - WCSen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.crpCGIAR Research Program on Forests, Trees and Agroforestry - FTAen_US
cg.contributor.funderInternational Fund for Agricultural Development - IFADen_US
cg.contributor.projectRestoration of degraded land for food security and poverty reduction in East Africa and the Sahel: taking successes in land restoration to scaleen_US
cg.contributor.project-lead-instituteWorld Agroforestry Center - ICRAFen_US
cg.coverage.regionEastern Africaen_US
dc.identifier.statusOpen accessen_US

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