Geographically local modeling of occurrence, count, and volume of downwood in Northeast China

► We model the occurrence, count, and volume of downwood, respectively. ► We use global and local logistic, Poisson, and Gaussian regression models. ► Local (GWR) models fit and perform superior to global models. ► Spatial variations of local model coefficients are visualized by contour maps. ► GWR models show details on the effects of predictors in local areas.