The Kashmir Valley is immensely susceptible to soil erosion due its diverse topography and unstable geological formations in the Himalayan region. present study helps assessing spatial distribution prioritizing zones Central region covering Sindh Dachigam catchments. implemented GIS-based analytic hierarchy process (AHP) weighted sum method (WSM) using datasets of precipitation, map, satellite ...

Ethiopia is one of the major producers maize and wheat only producer teff at a larger scale for grain in sub-Saharan Africa (SSA). Various efforts have been made by government to increase productivity over past 15 years. Here we analyze dataset with more than 1,260 yield observations from 2004/05 2018/19 three crops (teff, maize, wheat) 28 zones two cereal-growing regions country. These regions...

In this paper, we have examined the effect of climate variables on the yield average and variability of major grain crops (rice, maize, and wheat) in Iran from 1983 to 2014. For this purpose, we made use of the Just and Pope Production Function crop yields panel data. The results revealed that the influences of climate variables were different in the crops. The time trend positively influenced ...

Rainfall prediction is very complex hydrologic process and is important as it holds the key to any countries’ economy. Proposed model presents a new approach for yearly rainfall prediction of 30 Indian subdivisions. Yearly rainfall data of the Indian subdivision is available from IITM, Pune. The combination of Fast Fourier Transform (FFT) and Feed Forward Neural Network (FFNN) is applied for ne...

Anthropogenic changes in tropical rainfall are evaluated in a multimodel ensemble of global warming simulations. Major discrepancies on the spatial distribution of these precipitation changes remain in the latest-generation models analyzed here. Despite this uncertainty, we find a number of measures, both global and local, on which reasonable agreement is obtained, notably for the regions of dr...

Upon rewetting, lichens lose polyols through leaching. We quantified leaching losses for 21 species under simulated rainfall. Polyol concentrations in these lichens range from 1.0 to 8.8%, with a mean of 2.8%. Leaching losses range up to about 7.5 mg (polyol)/g (lichen dry weight) in a typical rain event. The rate of polyol leaching declines exponentially, becoming negligible within 1 hour of c...