Since the 70´s, Pampa Arenosa Subregion has experienced a rise in its water regime, allowing a greater area for dryland farming. Given farming intensification, assessing lands on the basis of rainfall variations is a fundamental strategic tool for planning. The objective of this work is to highlight the importance of different climate scenarios when determining Productivity Index in the Pampa Arenosa Subregion, Argentina. The study area was located in the Northwest of Buenos Aires and the East of La Pampa Province. Monthly precipitation data for the period 1921-2020 was used. Climate scenarios were determined according to changes in the values of mean rainfall using Hubert´s Hydrometeorological temporal segmentation test. Edaphic information was obtained from soil charts provided by INTA 1:50000 and the Natural Resource Inventory of La Pampa 1:500000. Resorting to Hubert´s test, several scenarios were proposed with different starting point for the macro climate conditions (H) of Productivity Index. Changes in annual rainfall mean values were detected in regions of Pampa Arenosa. The lands were classified by Productivity Index, which increased as rainfall became higher, reaching its maximum climate expression during the wet period after a positive abrupt change. Segmentation results of rainfall annual series for Pampa Arenosa Sub region, using Hubert´s method, allowed defining dry and wet subperiods, for IP estimation. In the Pampa region, climate variability is represented by the succession of dry and wet periods, and their extreme phenomena have important social and economic impacts.