Estimation of Natural Regeneration Potential
Extracting distances to nearest seed source for point data
Dispersal kernels from exponential power family
Dispersal kernels for log-normal distance distributions
Power-law dispersal kernels
Dispersal kernels from spatial t distribution
Dispersal kernels for Weibull distance distributions
Prediction of potential regeneration densities
Estimating potential regeneration densities by quantile regression
Distance map to nearest seed source
Summarizing quantile regression fits of potential regeneration densiti...
Functions for estimating the potential dispersal of tree species using regeneration densities and dispersal distances to nearest seed trees. A quantile regression is implemented to determine the dispersal potential. Spatial prediction can be used to identify natural regeneration potential for forest restoration as described in Axer et al (2021) <doi:10.1016/j.foreco.2020.118802>.
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