Response of a Grassland Ecosystem to Climate Change in a Theoretical Model |
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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: | The response of a grassland ecosystem to climate change is discussed within the context
of a theoretical model. An optimization approach, a conditional nonlinear optimal perturbation
related to parameter (CNOP-P) approach, was employed in this study. The CNOP-P, a perturbation of
moisture index in the theoretical model, represents a nonlinear climate perturbation. Two kinds of
linear climate perturbations were also used to study the response of the grassland ecosystem to
different types of climate changes.
The results show that the extent of grassland ecosystem variation caused by the CNOP-P-type climate
change is greater than that caused by the two linear types of climate change. In addition, the
grassland ecosystem affected by the CNOP-P-type climate change evolved into a desert ecosystem, and
the two linear types of climate changes failed within a specific amplitude range when the moisture
index recovered to its reference state. Therefore, the grassland ecosystem response to climate change
was nonlinear. This study yielded similar results for a desert ecosystem seeded with both living and
wilted biomass litter. The quantitative analysis performed in this study also accounted for the role
of soil moisture in the root zone and the shading effect of wilted biomass on the grassland ecosystem
through nonlinear interactions between soil and vegetation. The results of this study imply that the
CNOP-P approach is a potentially effective tool for assessing the impact of nonlinear climate change
on grassland ecosystems. |
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Keywords: | conditional nonlinear optimal perturbation parameter perturbation CNOP-P grassland ecosystem climate change |
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