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Title: The use of Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models. In:Factor Separation in the Atmosphere:Application and future prospects

Author
item NIYOGI, DEV - Purdue University
item MERA, ROBERT - North Carolina State University
item XUE, YONGKANG - University Of California
item WILKERSON, GAIL - North Carolina State University
item Booker, Fitzgerald

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 7/1/2010
Publication Date: 3/10/2011
Citation: Niyogi, D., Mera, R., Xue, Y., Wilkerson, G., Booker, F.L. 2011. The use of Alpert-Stein Factor Separation Methodology for climate variable interaction studies in hydrological land surface models and crop yield models. In:Factor Separation in the Atmosphere:Application and future prospects. Book Chapter. P. Alpert and T. Sholokhman, editors., Cambridge University Press. p. 171-183.

Interpretive Summary: The Factor Separation Method (FacSep) is a modeling application that has been utilized in the study of biophysical responses to changes in the environment to assess the relative contribution of different atmospheric factors on a biological system. In this chapter we will discuss crop simulation and land surface model-based assessments of the sensitivity to past and future changes in climatic conditions: increasing carbon dioxide, soil moisture, temperature and radiative conditions, and crop management procedures (irrigation). FacSep is applied to discern specific contributions to plant responses by single variables or combinations of environmental conditions. Our FacSep analysis has shown that it is important to understand that biological responses are inherently dependent on multiple variables in the natural world and should not be limited to assessments of single specific parameters.

Technical Abstract: The Factor Separation Method (FacSep) is a modeling application that has been utilized in the study of biophysical responses to changes in the environment to assess the relative contribution of different atmospheric factors on a biological system. In this chapter we will discuss crop simulation and land surface model-based assessments of the sensitivity to past and future changes in climatic conditions: increasing carbon dioxide, soil moisture, temperature and radiative conditions, and crop management procedures (irrigation). FacSep is applied to discern specific contributions to plant responses by single variables or combinations of environmental conditions. Our FacSep analysis has shown that it is important to understand that biological responses are inherently dependent on multiple variables in the natural world and should not be limited to assessments of single specific parameters.