Package sortie.data.funcgroups.nci

Classes
class	CrowdingEffectDefault
	This class calculates a crowding effect. More...
class	CrowdingEffectNoSize
	This class calculates a crowding effect with no size term. More...
class	CrowdingEffectTempDep
	This class calculates a crowding effect using the function: More...
class	DamageEffectDefault
	This returns the damage effect due to storms. More...
class	InfectionEffect
	This class calculates an infection effect according to the term: Pest Effect = a * ln(T) + b where T is the time in years that an individual tree has been infested, and a and b are parameters. More...
class	InfectionEffectSizeDependent
	This class calculates an infection effect according to the term: Infection Effect = [a * ln(T) + b] * exp(-0.5*[( ((DBH-Xp)/X0) / Xb)^2] where. More...
class	NCIEffect
	This class provides a class for NCI effects with organizing information. More...
class	NCILargerNeighbors
	The NCI term is simply a count of sapling and adult neighbors with a larger DBH than the target within a certain radius, subject to a minimum value. More...
class	NCIMasterBase
	The base for behaviors using the flexible NCI system allowing the user to choose any combination of multiplicative effects. More...
class	NCIMasterGrowth
	Corresponds to the clNCIMasterGrowth class. More...
class	NCIMasterMortality
	Corresponds to the clNCIGrowth class. More...
class	NCIMasterQuadratGrowth
	Corresponds to the clNCIMasterQuadratGrowth class. More...
class	NCINeighborBA
	The NCI term is the sum of BA of neighbors. More...
class	NCITermBARatio
	NCIi is calculated using basal area ratio. More...
class	NCITermBARatioDBHDefault
	NCIi is calculated using basal area ratio, using a single default value for target tree size. More...
class	NCITermDefault
	NCIi is calculated as follows (simplifying the notation): NCIi = Σ λk((DBHk/q)α/distanceβ) where: we're summing over k = 0 to N neighbors greater than the minimum neighbor DBH α is the neighbor DBH effect parameter β is the neighbor distance effect parameter DBH is of the target tree, in cm q is the DBH divisor parameter DBHk is the DBH of the kth neighbor, in meters γ is the size sensitivity to NCI parameter λk is the NCI lambda parameter for the species of the kth neighbor distance is distance from target to neighbor, in meters . More...
class	NCITermNCIBARatio
	NCIi is calculated as follows (simplifying the notation): NCIi = Σ λk((DBHk)α/distanceβ) where: we're summing over k = 0 to N neighbors greater than the minimum neighbor DBH α is the neighbor DBH effect parameter β is the neighbor distance effect parameter DBH is of the target tree, in cm DBHk is the DBH of the kth neighbor, in meters γ is the size sensitivity to NCI parameter λk is the NCI lambda parameter for the species of the kth neighbor distance is distance from target to neighbor, in meters . More...
class	NCITermNCIBARatioDBHDefault
	NCIi is calculated as follows (simplifying the notation): NCIi = Σ λk((DBHk)α/distanceβ) where: we're summing over k = 0 to N neighbors greater than the minimum neighbor DBH α is the neighbor DBH effect parameter β is the neighbor distance effect parameter DBH is of the target tree, in cm DBHk is the DBH of the kth neighbor, in meters γ is the size sensitivity to NCI parameter λk is the NCI lambda parameter for the species of the kth neighbor distance is distance from target to neighbor, in meters . More...
class	NCITermNCITempDepBARatio
	NCIi is calculated as follows (simplifying the notation): NCIi = Σ λk((DBHk)α/distanceβ) where: we're summing over k = 0 to N neighbors greater than the minimum neighbor DBH α is the neighbor DBH effect parameter β is the neighbor distance effect parameter DBH is of the target tree, in cm DBHk is the DBH of the kth neighbor, in meters γ is the size sensitivity to NCI parameter λk is the NCI lambda parameter for the species of the kth neighbor distance is distance from target to neighbor, in meters . More...
class	NCITermNCITempDepBARatioDBHDefault
	NCIi is calculated as follows (simplifying the notation): NCIi = Σ λk((DBHk)α/distanceβ) where: we're summing over k = 0 to N neighbors greater than the minimum neighbor DBH α is the neighbor DBH effect parameter β is the neighbor distance effect parameter DBH is of the target tree, in cm DBHk is the DBH of the kth neighbor, in meters γ is the size sensitivity to NCI parameter λk is the NCI lambda parameter for the species of the kth neighbor distance is distance from target to neighbor, in meters . More...
class	NCITermWithNeighborDamage
	NCIi is calculated as follows (simplifying the notation): NCIi = Σ η λk((DBHk/q)α/distanceβ) where: we're summing over k = 0 to N neighbors greater than the minimum neighbor DBH η is the storm damage parameter of the target, depending on the damage status. It’s 1 if the neighbor is undamaged. α is the neighbor DBH effect parameter β is the neighbor distance effect parameter DBH is of the target tree, in cm q is the DBH divisor parameter DBHk is the DBH of the kth neighbor, in meters γ is the size sensitivity to NCI parameter λk is the NCI lambda parameter for the species of the kth neighbor distance is distance from target to neighbor, in meters Note that eta is per target species, not per neighbor (like lambda). More...
class	NCIWithSeedlings
	This is an NCI term which allows seedlings to compete. More...
class	NitrogenEffectGaussian
	This class calculates a nitrogen effect according to the term: Nitrogen Effect = exp(-0.5*((NDEP - X0) / Xb)2) where: More...
class	PrecipitationEffectDoubleLogistic
	This represents precipitation effect in NCI behaviors calculated with a double logistic function. More...
class	PrecipitationEffectWeibull
	This represents the default Weibull precipitation effect in NCI growth. More...
class	ShadingDefault
	This represents the default shading effect in NCI growth. More...
class	SizeEffectCompoundExpInf
	This represents the default size effect in NCI growth. More...
class	SizeEffectCompoundExponential
	This represents the default size effect in NCI growth. More...
class	SizeEffectDefault
	This represents the default size effect in NCI growth. More...
class	SizeEffectLowerBounded
	This represents the default size effect in NCI growth. More...
class	SizeEffectPowerFunction
	This represents the default size effect in NCI growth. More...
class	SizeEffectShiftedLogInf
	This represents a size effect in NCI growth that uses a shifted lognormal function. More...
class	SizeEffectShiftedLognormal
	This represents a size effect in NCI growth that uses a shifted lognormal function. More...
class	TemperatureEffectDoubleLogistic
	This represents temperature effect in NCI behaviors calculated with a double logistic function. More...
class	TemperatureEffectWeibull
	This represents the default Weibull temperature effect in NCI behaviors. More...