Lulseged Tamene

International Trachoma Initiative

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Wuletawu Abera

International Trachoma Initiative

Kindu Mekonnen

International Livestock Research Institute

Paul L. G. Vlek

University of Bonn

Powell Mponela

International Centre of Insect Physiology and Ecology

Job Kihara

International Center for Tropical Agriculture

Kifle Woldearegay

Mekelle University

Zenebe Adimassu

Ethiopian Institute of Agricultural Research

Assefa Abegaz

Addis Ababa University

Teklu Erkossa

International Trachoma Initiative

Tesfaye Yaekob

Wolkite University

Cooperative Institutions

International Center for Tropical Agriculture

Addis Ababa University

Wageningen University & Research

Ethiopian Institute of Agricultural Research

International Water Management Institute

World Agroforestry Centre

Haramaya University

International Livestock Research Institute

International Centre of Insect Physiology and Ecology

International Center for Tropical Agriculture

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Ethiopia climate-smart agriculture roadmap

Getachew Eshete Berhanu Assefa Esayas Lemma Girma Kibret Gebermedihin Ambaw

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Kenya: Siaya county policy brief on land degradation

Fred Kizito Lulseged Tamene Nicholas Koech Brian Pondi Kennedy Ng'ang'a

Environmental degradation

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Mid-Year Report for the Ntcheu action site, Malawi (CIAT) - Data collected and ready for systems analysis

Lulseged Tamene

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Yield response of barley to the application of mineral fertilizers containing major nutrients on Cambisols and Vertisols in Ethiopia – CORRIGENDUM

Experimental Agriculture (2022)

Beza Shewangizaw Gebreyes Gurumu Getachew Agegnehu Mulugeta Eshetu Shawl Assefa

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Vertisol

10.1017/s0014479722000394

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Yield-limiting plant nutrients for maize production in northwest Ethiopia – CORRIGENDUM

Experimental Agriculture (2022)

Tadele Amare Erkihun Alemu Zerfu Bazie Asmare Woubet Selamyihun Kidanu

Limiting

10.1017/s0014479722000448

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Additional file 1 of Sustainable land management interventions lead to carbon sequestration in plant biomass and soil in a mixed crop-livestock system: the case of Geda watershed, central highlands of Ethiopia

Figshare (2020)

Hailu Terefe Mekuria Argaw Lulseged Tamene Kindu Mekonnen

Additional file 1. Data.

Lead (geology)

10.6084/m9.figshare.12545069

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Evaluating indicators of land degradation in smallholder farming systems of western Kenya

Geoderma (2013)

Boaz Waswa Paul L. G. Vlek Lulseged Tamene Peter Okoth D. S. Mbakaya

Subsoil

Topsoil

Silt

Agricultural land

10.1016/j.geoderma.2012.11.007

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Citations (51)

Modelling soil erosion response to sustainable landscape management scenarios in the Mo River Basin (Togo, West Africa)

The Science of The Total Environment (2018)

Badabaté Diwediga Quang Bao Le Sampson K. Agodzo Lulseged Tamene Kpérkouma Wala

Landform

Land Cover

Sustainable land management

Erosion Control

10.1016/j.scitotenv.2017.12.228

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Assessment of Land Degradation, Its Possible Causes and Threat to Food Security in Sub-Saharan Africa

CRC Press eBooks (2010)

Paul L. G. Vlek Quang Bao Le Lulseged Tamene

This chapter aims to use the long-term Normalized Difference Vegetation Index data as a proxy to map the spatial distribution of change in net primary productivity (NPP) for Sub-Saharan Africa. The anthropogenic causes of land degradation are related to an ever-increasing demand for food, fodder, fiber, and fuel, as well as shelter and other infrastructure. Assessing soil degradation at a global, continental, or regional scale is hampered by a shortage of data for long-term quantitative comparisons. Monitoring land degradation using remote sensing of NPP is an easier task, especially since satellite imagery has become publicly available. Some scientists even consider Rain Use Efficiency (RUE) a valid indicator for soil degradation, because a decline in RUE appeared to correspond with modeled soil erosion driven by the same rainfall data. Immediate adaptation strategies are needed in areas characterized by favorable soil and terrain where population pressure is high and degradation is in full progress.

Degradation

10.1201/ebk1439800577-4

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Citations (87)

Comment on egusphere-2022-301

Ashenafi Ali Teklu Erkossa Kiflu Gudeta Wuletawu Abera Ephrem Mesfin

Up-to-date digital soil resources information, and its comprehensive understanding, is crucial to support crop production and sustainable agricultural development. Generating such information through conventional approaches consumes time and resources, which is difficult for developing countries. In Ethiopia, the soil resource map that was in use is qualitative, dated (since 1984), and small-scale (1:2 M) which limits its practical applicability. Yet, a large legacy soil profile data accumulated over time and the emerging machine learning modelling approaches can help in generating a high-quality quantitative digital soil map that can provide accurate soil information. Thus, a group of researchers formed a coalition of the willing for soil and agronomy data sharing and collated about 20,000 soil profile data and stored them in a central database. The data were cleaned and harmonized using the latest soil profile data template and prepared 14,681 profile data for modelling. Random Forest was used to develop a continuous quantitative digital map of 18 WRB reference soil groups at 250 m resolution by integrating environmental variables-covariates representing major Ethiopian soil-forming factors. The validated map will have tremendous significance in soil management and other land-based development planning, given its improved spatial nature and quantitative digital representation.

Digital Soil Mapping

Soil Quality

10.5194/egusphere-2022-301-cc1

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