Abstract
The data described in this paper were collected in two watersheds – Azuga-suba watershed in Angacha woreda (district) of Southern Nations, Nationalities and Peoples (SNNP) region and Yesir watershed of Bure woreda (district) of the Amhara region – in Ethiopia. The data were collected from 379 households with the main objective being to assess the factors constraining the adoption of sustainable land management technologies (SLMT) that enhance soil organic carbon sequestration. The data were collected using a structured questionnaire that was designed in SurveyCTO. The data cleaning and analysis was done using STATA SE version 14. This data can be used by researchers to assess the extent of adoption of SLMTs in Ethiopia by, for example, comparing the North and the South regions of Ethiopia. It can also be used to assess the probability of adoption as well as the benefit and costs of adopting SLMTs in Ethiopia both at farm and plot level.
Highlights
Background & SummarySoil degradation is the main reason for the continued poor agricultural productivity in sub-Saharan Africa (SSA)[1] with degraded agricultural land accounting for 65%
With the population of the SSA projected to double by the year 20503, soil degradation and low agricultural productivity pose a threat to the human population
Soil degradation is attributed to reduced soil organic carbon (SOC)[4] that enhances soil fertility by improving soil water holding capacity, cation exchange capacity & soil aggregation and reducing the soil susceptibility to crusting and soil erosion[5,6]
Summary
Background & SummarySoil degradation is the main reason for the continued poor agricultural productivity in sub-Saharan Africa (SSA)[1] with degraded agricultural land accounting for 65%. Www.nature.com/scientificdata characteristics that are known to affect the adoption of SLMTs include; education level of the household head, farming experience, gender, plot size, tenure security, membership in farmer groups, agricultural extension, distance to plots, market access, credit access, livestock ownership and household size[19,20] while biophysical characteristics include, plot slope, rainfall, soil type and soil erosion[21].
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