The previous tutorial covered a bunch of the basics with some pretty straightforward data, and was more focused on how R works. Now we’ll be looking at slightly more complicated data (species data), which will require learning some fancier data handling.
[Access the paper here.](https://doi.org/10.1016/j.isprsjprs.2020.05.017) Managing fire, water, biodiversity and carbon stocks can greatly benefit from early warning of changes in the state of vegetation. While near-real time tools to detect forest …
This tutorial relies on data provided as supplementary material for the paper Slingsby et al. 2017. Intensifying postfire weather and biological invasion drive species loss in a Mediterranean-type biodiversity hotspot. PNAS.
[Access the paper here.](https://doi.org/10.1111/gcb.14861) Human activities affect fire in many ways, often unintentionally or with considerable time-lags before they manifest themselves. Anticipating these changes is critical, so that insidious …
[Access the paper here.](https://dx.doi.org/10.1073%2Fpnas.1619014114) Prolonged periods of extreme heat or drought in the first year after fire affect the resilience and diversity of fire-dependent ecosystems by inhibiting seed germination or …
[Access the paper here](https://doi.org/10.1016/j.sajb.2015.09.009) Peninsula Shale Renosterveld, a Critically Endangered ecosystem, requires ecological restoration intervention on transformed areas. Yet there is little guidance due to very few …