Proper use of the land depends on the suitability of land for specific purposes. Itrnis indeed of paramount importance to identify suitable land for livestockrnproduction while causing minimum impact to the environment. In this study, anrnattempt was made to identify suitable areas for livestock production using GISrnmethodology.rnSpatial modeling techniques are utilized to generate the land suitability model.rnThe model is run in ArcGIS platform by using evaluation criteria: land use/landrncover, soil classification slope and water availability through multicriteriarndecision marking rules. The model results revealed that 40.5% of the study arearnis most suitable for livestock production. In addition, 30% of the sub basin isrnindeed moderately suitable for animal production. Further, 8% of the study arearnis identified to be least suitable. On the other hand, areas that are found to berncurrently not suitable and permanently not suitable are 0.2% and 0.1%rnrespectively.rnTana sub basin is optimally located on suitable land for livestock production.rnThat is, most of the basin is covered by optimal land use land cover, gentle slope,rnfertile soil type, and optimal water availability. However, the current livestockrndistribution exists on unsuitable areas.rnThe results of the NDVI indices indicate that the basin has available feed sourcernfor animal production especially in the rainy season whereas in the dry seasonrncrop residue could serve as a feed source for the livestock.rnFurthermore, water availability is the most important factor that determinesrnlivestock production. Under this study, water availability is analyzed usingrnbuffering tools in a GIS. The results depict that most of the study areas arernaccessible or proximal to water resources (lakes, water points, and rivers) forrnlivestock drinking. That is, most of the water resources are accessible forrnlivestock production within the study area. This output indeed could be used asrna method for assessing livestock water productivity in the basin.rnKeywords: GIS, Suitability Model, Water Availability, Feed, Livestock, TanarnSub Basin, Blue Nile