Extended Data Fig. 3: Edge effect measurement based on tree cover.
From: A globally consistent negative effect of edge on aboveground forest biomass

A spatial log-linear regression model, as described in the Methods section, was conducted per grid cell with tree canopy cover for year 2000 from Hansen et al.30 as a dependent variable and log10-transformed distance to the edge as an independent variable. We refer to estimate value of β1 as \(\frac{\Delta Tree\,cover}{\Delta D}\), which is an abbreviated form of \(\frac{\Delta Tree\,canopy\,cover}{\Delta log_{10}(Distance\,to\,edge)}\). a, Map of \(\frac{\Delta Tree\,cover}{\Delta D}\) on tree cover. Each geographical grid cell with a scale of 100 km is shaded according to the\(\frac{\Delta Tree\,cover}{\Delta D}\). b, Map of the log10-transformed coefficients of variation of \(\frac{\Delta Tree\,cover}{\Delta D}\). Each geographical grid cell with a scale of 100 km is shaded according to the log10-transformed coefficient of variation.