Happy to share our new #openaccess paper on mapping global patterns of land use decision-making @IVM_VU @VU_science @acwfs_VU @ELSenviron doi.org/10.1016/j.gloe…
Together with @peterverburg11 we studied how contextual conditions can explain why and how we change land use. 1/9
We found out, that differences in land use decision-making can (to a large extent) be explained by local geographic characteristics. 2/9
For example, we observe how survival and livelihood are positively associated to the spatial variation in childhood malnutrition, distance to roads and negatively to total economic output. 3/9
Conversely, economic objectives behind land use change are positively related to conditions representing higher levels of socio-economic development. 4/9
Our results highlight several important issues, important for the🌎🌍🌏 land systems science community @GLP_earth and #sustainable land use 5/9
1.Decision-making has a high level of spatial variation also within countries, using national proxy indicators (e.g. HDI, GDP) is therefore insufficient to explain variations in land use decisions 6/9
2.Our results can also help to understand why some areas experienced lower intensification rates in the past decades, compared to others 7/9
3.The spatial distributions can help to develop better land use models🖥️, where currently agency is poorly represented (if at all), and where usually rational and uniform rules are applied and simulated 8/9
4.We also demonstrate how representative a collection of studies used in a meta-analysis is globally. This way we can identify areas in which we need to do more local scale research.
All data is publicly accessible at doi.org/10.34894/JEDNM5 9/9
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