Advances in Atmospheric Sciences

, 28:1266

Response of a grassland ecosystem to climate change in a theoretical model


DOI: 10.1007/s00376-011-0169-6

Cite this article as:
Sun, G. & Mu, M. Adv. Atmos. Sci. (2011) 28: 1266. doi:10.1007/s00376-011-0169-6


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.

Key words

conditional nonlinear optimal perturbation parameter perturbation CNOP-P grassland ecosystem climate change 

Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.Key Laboratory of Ocean Circulation and Wave, Institute of OceanologyChinese Academy of SciencesQingdaoChina

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