scholarly journals Mapping of soil degradation potential in Nguntoronadi District Wonogiri Regency

2021 ◽  
Vol 905 (1) ◽  
pp. 012085
Author(s):  
A A A Azis ◽  
Mujiyo ◽  
O Cahyono

Abstract Soil is the most important component in agriculture. Soil degradation is caused by improper soil management, unpatterned planting, and homogeneous rainfall. Mapping of potential soil degradation was a process of identifying initial conditions to determine areas that have the potential in soil physical, chemical, and biological degradation. The purpose of this study was to create a map of Soil Degradation Potency (SDP). The research was conducted in Nguntoronadi district, Wonogiri. The mapping used a guided-qualification method and was assisted by ArcGIS application for overlaying the maps according to standard procedures, and the resulting value of soil degradation potency. The results showed the soil degradation potency was slightly in 454 hectares, moderate in 5,186 hectares, and high in 192 hectares. The research area was dominated by moderate to high degradation. Land management requires more attention according to soil conservation and sustainability. Further research is needed to determine the actual level of soil degradation to obtain recommendations for sustainable land management.

Author(s):  
Yohannes Habteyesus Yitagesu ◽  

Sustainable land management has emerged as an issue of major global concern. In many countries particularly in Ethiopia, the concern of suitable land management is because of the increasing population pressure on limited land resources, demanding for increased food production, the degradation of land and water resources accelerating rapidly. If the lands well suited for agriculture, it will follows further increases in production to meet the food demands of increasing populations, must come about by the more intensive use of existing agricultural lands. Climate & soil conditions, land use type and management, determine the production limit.To contest cited venomous effects of intensification, regard to environmental effects requires the development and implementation of technologies and policies, which will result in sustainable land management (Gisla-dottir and Stocking, 2005; Campbell and Hagmann, 2003). The major factors reason for low productivity include dependence on traditional farming techniques, soil degradation caused by overgrazing and deforestation, poor corresponding services such as extension, credit, marketing, infrastructure, and climatic factors such as drought and flood (Deressa, Hassan, & Ringler, 2011). In addition to the low soil fertility, soil degradation in Ethiopia; reduces soil productivity which results to food insecurity, economic losses and aggravates the recurrent droughts (Shiferaw & Holden, 1999; Mitiku et al., 2006). It has also increases vulnerability of people to the adverse effects of climate variability and change, by reducing soil organic carbon level and water holding capacity, which in turn decreases agricultural productivity and local resource assets (TerrAfrica, 2009; Nyssen et. al., 2003a; Hurni, 2000; Mitiku Haile,2006 & Daniel et al., 2015). Climate change causes wide-ranging effects on the environment, socioeconomic and associated sectors: water resources, agriculture and food security, human health, terrestrial ecosystems, and biodiversity (Belay Zerga & Getaneh Gebeyehu, 2016). Ethiopia is extremely vulnerable to climate related disasters including drought, heavy rains, floods, frost and heat waves which leads to a negative impacts on agriculture, food security, rural livelihoods, and economic development (NMA 2007). Planning of changes in land use requires a inclusive knowledge of the natural resources; a trustworthy estimate of what they are capable of producing, so that reliable predictions and recommendations can be made. Production potential, the conservation of soil and water resources for use by future generations requires consideration in planning land development. For these reasons sustainable land management is now getting considerable attention from development experts, policy makers and researchers. In long-term period, any utilization over its capability of the land will cause degradation and yield reduction. Therefore, to know the land production capacity and to allocate the land to the satisfactory and to the most profitable should be cared.


Author(s):  
Julian Dumanski ◽  
Samuel Gameda ◽  
Christian Pieri ◽  

2021 ◽  
Vol 13 (11) ◽  
pp. 6365
Author(s):  
Alelgn Ewunetu ◽  
Belay Simane ◽  
Ermias Teferi ◽  
Benjamin F. F. Zaitchik

Sustainable land management (SLM) is a leading policy issue in Ethiopia. However, the adoption and continuous use of SLM technologies remain low. This study investigates the interrelationship of adopted SLM technologies and key factors of farmers’ decisions to use SLM technologies in the North Gojjam sub-basin of the Upper Blue Nile. The study was based on the investigation of cross-sectional data obtained from 414 randomly selected rural household heads, focus group discussions, and key informant interviews. Descriptive statistics and Econometric models (i.e., Multivariate Probit and Poisson regression) were used to analyze quantitative data, while a content analysis method was used for qualitative data analysis. Results indicate that at least one type of SLM technology was implemented by 94% of farm households in the North Gojjam sub-basin. The most widely used technologies were chemical fertilizer, soil bund, and animal manure. Most of the adopted SLM technologies complement each other. Farm size, family size, male-headed household, local institutions, perception of soil erosion, livestock size, total income, and extension service increased the adoption probability of most SLM technologies. Plot fragmentation, household age, plot distance, off-farm income, market distance, and perception of good fertile soil discourage the adoption probability of most SLM technologies. To scale up SLM technologies against land degradation, it is important to consider households’ demographic characteristics, the capacity of farm households, and plot-level related factors relevant to the specific SLM technologies being promoted.


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