Abstract Decision makers need accurate information to address climate variability and change accelerate transformation sustainability. A stakeholder-driven, science-based multi-model approach has been developed used by the Agricultural Model Intercomparison Improvement Project (AgMIP) generate actionable for adaptation planning processes. For a range of mid-century projections—likely be hotter,...

Abstract Changes in land cover are characterized by changes use conversion. One of the factors that cause closure is increase number residents so need for residential also increases. This study aims to identify 2017 and 2021 Bila River Basin. Land change analysis carried out using Geographic Information System approach overlay method ArcGIS software. The results showed 2017-2021, secondary dryl...

Hydrology) Spatial Patterns in Dryland Vegetation and the Significance of Dispersal, Infiltration and Complex Topography

Pakerisan watershed is one of the that has not followed rules soil and water conservation. This can destroy aggregates cause high erosion. study aims to predict level erosion plan Erosion prediction uses USLE (Universal Soil Loss Equation). The showed classified from slight severe. rate very light covering an area 6,426.26 ha (71.28%) with natural forests, dryland agriculture, paddy fields. mod...

abstract rainwater harvesting (rwh) is one of the most effective water resources management techniques for confrontation with water shortage condition. rwh which is basically known as a traditional method, has been developed rapidly and being used widely in dryland countries throughout the world. rwh is defined as collecting and storing rainwater from nearby catchment and delivering it to plant...

Analyses of covariance were used to relate corn yields to population densities of Pratylenchus hexincisus in South Dakota dryland corn or P. scribneri in irrigated corn. The relationship for P. hexincisus was Y = 5,825 - 0.14X - 0.03X' where Y = yield (kg/ha), X = number of P. hexincisus per gram of dry root at midseason and X' = number at harvest. The relationship for P. scribneri was best des...

Drought has been a major cause of agricultural disaster, yet how it affects the vulnerability of maize and wheat production in combination with several co-varying factors (i.e., phenological phases, agro-climatic regions, soil texture) remains unclear. Using a data synthesis approach, this study aims to better characterize the effects of those co-varying factors with drought and to provide crit...