Remote Sensing and Climate Data for Targeting Landscape Restoration in Africa

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cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.contributor.affiliationETH Zürichen_US
cg.contributor.affiliationUniversity of Bonnen_US
cg.contributor.affiliationWorld Agroforestry Centreen_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2KEen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.subregionNairobien_US
cg.creator.identifierLulseged Tamene: 0000-0002-4846-2330en_US
cg.creator.identifierFred Kizito: 0000-0002-7488-2582en_US
cg.isbn978-9966-108-24-1en_US
cg.placeNairobi, Kenyaen_US
dc.contributor.authorTamene, Lulseged D.en_US
dc.contributor.authorLe, Quang Baoen_US
dc.contributor.authorSileshi, Gudeta W.en_US
dc.contributor.authorAynekulu, Ermiasen_US
dc.contributor.authorKizito, Freden_US
dc.contributor.authorBossio, Deborah A.en_US
dc.contributor.authorVlek, Paul L.G.en_US
dc.date.accessioned2020-02-04T20:55:48Zen_US
dc.date.available2020-02-04T20:55:48Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/106885en_US
dc.titleRemote Sensing and Climate Data for Targeting Landscape Restoration in Africaen_US
dcterms.abstractTackling land degradation and restoring degraded landscapes require information on areas of priority intervention, since it is not economically and technically possible to manage all areas affected. Recent developments in data availability and improved computational power have enhanced our understanding of the major regional drivers of land degradation and possible remedial measures at different scales. In this study, we have used land degradation hotspots, which were identified using satellite and climate data covering the period of 1982–2003 (Vlek et al. 2010). We then simulated the potentials of different management measures in tackling land degradation in Sub-Saharan Africa (SSA). Scenario analysis results show that about 14 million people can benefit from the application of sustainable land management (e.g., integrated soil fertility management, conservation agriculture, and soil and water conservation) techniques targeted to improve the productivity of croplands. Fallowing degraded areas and allowing them to recover (e.g., through exclosures and agroforestry) could improve land productivity. However, this intervention requires appropriate and improved methods that can accommodate the needs of about 8.7 million people who utilize those “marginal” areas for crop production or livestock grazing. This chapter presents the benefits of utilizing long-term satellite data to analyze the potentials of targeted land management and restoration measures for improving land productivity in SSA. This approach and framework can also be used to design suitable land-use planning for the restoration of degraded areas and to perform detailed cost-benefit and trade-off analysis of various interventions.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationTamene, Lulseged; Le, Quang Bao; Sileshi, Gudeta W.; Aynekulu, Ermias; Kizito, Fred; Bossio, Deborah & Vlek, Paul. (2019). Remote Sensing and Climate Data for Targeting Landscape Restoration in Africa. In Hadgu, K. M.; Bishaw, B.; Iiyama, M.; Birhane, E.; Negussie, A.; Davis, C. M.; Bernart, B. (Eds.). Climate-smart agriculture: enhancing resilient agricultural systems, landscapes, and livelihoods in Ethiopia and Beyond. Nairobi, Kenya: World Agroforestry (ICRAF). pp.231-241.en_US
dcterms.extent231-241 pen_US
dcterms.issued2019en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherWorld Agroforestry Centreen_US
dcterms.subjectland degradationen_US
dcterms.subjectndvien_US
dcterms.subjectrainfallen_US
dcterms.subjectrestorationen_US
dcterms.subjectland managementen_US
dcterms.typeBook Chapteren_US

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