Rare and endangered plant communities accurately simulated using new method.
Researchers used a method called kernel density estimation to study how different rare and endangered plant species are distributed in two communities. They found that this method accurately described the distribution of species in both tree and shrub layers without needing to make assumptions about the data. This suggests that kernel density estimation is a useful tool for simulating species abundance distribution in forests.
