Inducing Unstable Grassland Equilibrium States Due to Nonlinear Optimal Patterns of Initial and Parameter Perturbations: Theoretical Models |
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Authors: | SUN Guodong and MU Mu |
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Institution: | The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Key Laboratory of Ocean Circulation and Wave, Institute of Oceanology,Chinese Academy of Sciences, Qingdao 266071, The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 |
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Abstract: | Due to uncertainties in initial conditions and parameters, the stability and uncertainty of grassland ecosystem simulations
using ecosystem models are issues of concern. Our objective is to determine the types and patterns of initial and parameter
perturbations that yield the greatest instability and uncertainty in simulated grassland ecosystems using theoretical models.
We used a nonlinear optimization approach, i.e., a conditional nonlinear optimal perturbation related to initial and parameter
perturbations (CNOP) approach, in our work. |
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Keywords: | conditional nonlinear optimal perturbation initial perturbation parameter perturbation grassland ecosystem |
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