env_curve.RdUsing traits that affect growth rate and specified environments, this function returns a numeric value of expected growth rates given the traits and the environmental value. The total growth rate is then the average of the growth rates computed with each trait.
env_curve(trait_values, env_value, trait_weights, k = 2, width = 0.5)a numeric vector of species trait values
a single numeric value giving the environmental variable
data.frame with at least three columns equal to trait
(giving the name of the concerned traits in traits
df), growth_weight the relative weight of the trait in
growth and compet_weight the relative weight of the
trait in competition, both hierarchical and based on
limiting similarity.
a scalar giving the maximum growth rate in optimal environment
a numeric for niche breadth, constant in gaussian function
For the moment the environmental filter follows a Gaussian distribution:
$$ R_{i, x} = k \times \exp(- \frac{(trait_i - env_x)^2}{2\times {width}^2}) $$, where t_i is trait of species i, env_x the environmental value in patch x, k a scalar giving the maximal growth rate and width the environmental breadth of species.