Extended Data Table 2 Environmental covariates used to assess drivers of global forest edge effects

From: A globally consistent negative effect of edge on aboveground forest biomass

  1. This table lists the seven environmental variables included in the machine learning analysis, selected based on prior studies6,9,19,40,50,67,68,69,70,71 suggesting their relevance in shaping edge-related variation in aboveground biomass. For each covariate, the data source, original spatial resolution (in arcseconds), unit of measurement, and key motivating references are provided. The variables span climatic (for example, temperature, precipitation, wind), edaphic (soil moisture), topographic (elevation, slope), and anthropogenic (agricultural land cover) dimensions.
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