Climate and landscape mediate patterns of low lentil productivity in Nepal

Regression results Model specification tests. In order to test potential multicollinearity among the explana- tory variables, variance inflation factors (VIFs) were calculated. Myers [76] suggested that VIFs values for each of the explanatory variables should not cross the limit of 10, in order to be free from multicollinearity. The mean VIF for the stochastic frontier model was 2.10 and ran- ged from 1.06 to 5.92, indicating no signs of multicollinearity. Additionally, the VIF value Fig 1. Within season and across year’s spatial variability in climatic parameters during lentil producing time (Oct–March) in study areas: a) rainfall in 2014, b) temperature in 2014, c) rainfall in 2015, and d) temperature in 2015. https://doi.org/10.1371/journal.pone.0231377.g001 PLOS ONE Climate and landscape mediate low lentil productivity PLOS ONE | https://doi.org/10.1371/journal.pone.0231377 April 16, 2020 9 / 19