- The ClimSat classification system—a global climate classification map based on long-term satellite-derived data. There’s a new global climate classification system in town, and it’s better ecologically than Köppen’s.
- The first global agricultural field boundary map at 10 m resolution. Combined with the above, we can now characterize the climate of every agricultural field in the world.
- GEM-Forest: A Global satellite EMbedding–based map of forests and tree crops for 2020. Do any of those fields have tree crops? And how far is the forest?
- Global annual cropland dynamics 2015–2024. The next time we map agricultural field boundaries, there will probably be more of them.
- Climate-induced range shifts support local plant diversity but don’t reduce extinction risk. Those new agricultural fields will be bad for wild plants.
- ‘SiteTool’: a ‘Shiny’ application for field site selection and evaluation. Cool new tool helps you select geographical sites based on ecological characteristics. Could be used to help decide where to collect or evaluate germplasm. Lots of opportunities for combining with some of the above, I suspect.
- Current and future potential of cassava (Manihot esculenta) in Southern Africa: a scoping review. An example of what you can do when you combine different types of spatial (and other data). The area suitable for cassava in Africa will increase, and there’s lots of scope for higher yields too. If we can combine datasets, soon we’ll know which specific fields to grow it in, for higher production, to protect wild biodiversity…
- Global and regional climate modes modulate armed conflict risk. …and to mitigate the risk of conflict.