Strate_CSR: Calculate CSR (Competition-Stress-Ruderal) Strategy
In MultiTraits: Analyzing and Visualizing Multidimensional Plant Traits
Strate_CSR R Documentation
Calculate CSR (Competition-Stress-Ruderal) Strategy
Description
This function calculates the CSR strategy based on leaf traits.
Usage
Strate_CSR(LA, LDMC, SLA)
Arguments
LA
Leaf area in mm^2
LDMC
Leaf dry matter content in %
SLA
Specific leaf area in mm^2/mg
Value
A list containing:
-
C: Proportion of competition strategy
-
S: Proportion of stress-tolerance strategy
-
R: Proportion of ruderal strategy
-
type: Type of CSR strategy
References
Grime, J.P. (1974). Vegetation classification by reference to strategies. Nature, 250, 26–31.
Pierce, S., Negreiros, D., Cerabolini, B.E.L., Kattge, J., Díaz, S., et al. (2017). A global method for calculating plant CSR ecological strategies applied across biomes world-wide. Funct Ecol, 31: 444-457.
Examples
Strate_CSR(LA = 369615.7, LDMC = 25.2, SLA = 17.4)
MultiTraits documentation built on April 16, 2025, 9:07 a.m.
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| Strate_CSR | R Documentation |
Calculate CSR (Competition-Stress-Ruderal) Strategy
Description
This function calculates the CSR strategy based on leaf traits.
Usage
Strate_CSR(LA, LDMC, SLA)
Arguments
LA |
Leaf area in mm^2 |
LDMC |
Leaf dry matter content in % |
SLA |
Specific leaf area in mm^2/mg |
Value
A list containing:
-
C: Proportion of competition strategy -
S: Proportion of stress-tolerance strategy -
R: Proportion of ruderal strategy -
type: Type of CSR strategy
References
Grime, J.P. (1974). Vegetation classification by reference to strategies. Nature, 250, 26–31.
Pierce, S., Negreiros, D., Cerabolini, B.E.L., Kattge, J., Díaz, S., et al. (2017). A global method for calculating plant CSR ecological strategies applied across biomes world-wide. Funct Ecol, 31: 444-457.
Examples
Strate_CSR(LA = 369615.7, LDMC = 25.2, SLA = 17.4)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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