Patrick Meyfroidt and colleagues writing in Environmental Research Letters have published the first peer-reviewed land change science paper utilizing GLOBE’s powerful Representativeness Analysis Tool.
The paper, “Multiple pathways of commodity crop expansion in tropical forest landscapes” utilized Representativeness Analysis to examine possible geographic biases in their study of commodity crop expansion in tropical forest landscapes across a suite of global variables.
According to the authors, GLOBE Representativeness Analysis revealed that this “set of case studies display some of the well-known selection biases in tropical deforestation studies (including a lack of studies in Africa, and a focus on frontier regions with substantial forest cover remaining, and intermediate levels of population density and protected area coverage), and reflects mainly the dynamics in areas with relatively good market access and high influence of external markets (Meyfroidt et al., 2014, SI).”
Meyfroidt and colleagues used GLOBE to examine biases in their case study collection across Olson’s biomes, world regions, percentage of tree cover in 2001, percentage of land in protected area, market access index, market influence index, combined land suitability class, and population density in 2005 (Find more variables: use GLOBE’s global variable viewer - click “select more variables” and enter text into the search window at upper right).
For more information on how the authors utilized GLOBE in their study, see their Supplementary Data S2 section.