why provide teh parameters for Pmax dBAmin alpha ?
in "The maximum harvesting for large tree can be tuned so that the probability for a large tree to be harvested approaches 1 after several harvesting operations: hmax = 1 - \sqrt[n]{1-p} with n the number of harvesting operations." what is "p" the variable approaching 1? Maybe be add "The maximum harvesting for large tree can be tuned so that the probability for a large tree to be harvested approaches 1 (for instance p = 0.999) after several harvesting operations: hmax = 1 - \sqrt[n]{1-p} with n the number of harvesting operations. "
Je comprends pas '$P{cut, i} = \frac{BA{stand, i} - BA{harv, i}}{BA{stand, i}} = f(pi) * P{cut}' pourquoi c est BA_harv est pas BA_target omme dans le cas monospecificque?
All the parameters were set in default and checked in a validation function. However they are not always used and alpha was not even documented for the forest() function. I edited this function so that the default values are merged with the user input and still pass the validation function.
Some comments
Why do we need to provide Pmax = 0.25, dBAmin = 3, freq = 1, alpha = 1 as this is not use ?
Same question in the modulation section
why provide teh parameters for Pmax dBAmin alpha ?
in "The maximum harvesting for large tree can be tuned so that the probability for a large tree to be harvested approaches 1 after several harvesting operations: hmax = 1 - \sqrt[n]{1-p} with n the number of harvesting operations." what is "p" the variable approaching 1? Maybe be add "The maximum harvesting for large tree can be tuned so that the probability for a large tree to be harvested approaches 1 (for instance p = 0.999) after several harvesting operations: hmax = 1 - \sqrt[n]{1-p} with n the number of harvesting operations. "
Je comprends pas '$P{cut, i} = \frac{BA{stand, i} - BA{harv, i}}{BA{stand, i}} = f(pi) * P{cut}' pourquoi c est BA_harv est pas BA_target omme dans le cas monospecificque?