Sensitivity analysis in ecological modeling
Sensitivity analysis is used to qualitatively or quantitatively apportion the variation of model output to different source of variation. It is a very useful tool in model parameterization and calibration, and has important ecological significance by identifying the governing factors for a certain e...
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| Veröffentlicht in: | Ying yong sheng tai xue bao 2004-06, Vol.15 (6), p.1056-1062 |
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| container_title | Ying yong sheng tai xue bao |
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| creator | Xu, Chonggang Hu, Yuanman Chang, Yu Jiang, Yan Li, Xiuzhen Bu, Renchang He, Hongshi |
| description | Sensitivity analysis is used to qualitatively or quantitatively apportion the variation of model output to different source of variation. It is a very useful tool in model parameterization and calibration, and has important ecological significance by identifying the governing factors for a certain ecological process simulated. There are two schools of sensitivity analysis, local sensitivity analysis and global sensitivity analysis. The former examines the local response of the output(s) by varying input parameters one at a time, holding other parameters to a central value; and the latter examines the global response (averaged over the variation of all the parameters) of model output(s) by exploring a finite (or even an infinite) region. Since it is very easy to conduct local sensitivity analysis, it is very popular in ecological models. However, local sensitivity analysis is not computationally effective, because it can only get the sensitivity of a single parameter at a time. It can not take into considerati |
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| language | chi |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Ecology Ecosystem Environment Forecasting Models, Theoretical |
| title | Sensitivity analysis in ecological modeling |
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