Variance-based sensitivity analysis of a forest growth model

Ecological Modelling

Volumn 247, Issue , 2012, Pages 135-143

  Song, Xiaodong ^a,b   Bryan, Brett A ^b   Paul, Keryn I ^b   Zhao, Gang ^b,c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b CSIRO   (Australia)

^c INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

3 PG2; Elementary effects; Group effect; Sensitivity analysis; Variance based

Indexed keywords

3-PG2; AUSTRALIA; BIOMASS PARTITIONING; COMPUTATIONAL COSTS; COMPUTER MODELS; CORYMBIA; ELEMENTARY EFFECTS; FIELD DATA; FOREST GROWTH MODEL; FOREST MODELS; GLOBAL SENSITIVITY ANALYSIS; GROUP EFFECT; INPUT PARAMETER; MODEL OUTPUTS; PARAMETER CALIBRATION; PHYSIOLOGICAL PRINCIPLES; RELATIVE SENSITIVITY; SCREENING METHODS; SOIL TEXTURES; VARIANCE-BASED; VARIANCE-BASED METHODS; VARIANCE-BASED SENSITIVITY ANALYSIS; WATER BALANCE;

FORESTRY; GEOLOGIC MODELS; SENSITIVITY ANALYSIS;

COMPUTER SIMULATION;

BIOMASS ALLOCATION; CALIBRATION; ECOLOGICAL MODELING; EVERGREEN FOREST; FOREST ECOSYSTEM; GROWTH MODELING; SENSITIVITY ANALYSIS; SOIL TEXTURE; UNCERTAINTY ANALYSIS; VARIANCE ANALYSIS; WATER BUDGET;

CALIBRATION; COMPUTATION; COMPUTERS; MATHEMATICAL MODELS; SENSITIVITY; SIMULATION; VARIANCE;

AUSTRALIA;

CORYMBIA MACULATA; EUCALYPTUS; EUCALYPTUS CLADOCALYX;

EID: 84866298396     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2012.08.005     Document Type: Article

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