基于混合演化算法的乌梁素海芦苇凋落物分解模拟 及预测.

The litter of Phragmites australis, a dominant species in the vegetation belt of Ulansuhai Lakeshore, was taken as the research object. The decomposition experiment of Phragmites australis litter was carried out based on the litter bag method, and the hybrid evolutionary algorithm (HEA) was used to model. The purpose of this study was to reveal and predict the decomposition process of Phragmites australis litter in lake water, and to explore the relationship between N and P released by litter decomposition and environmental impact factors by calculating threshold and sensitivity analysis. The results showed that:(1) The optimal HEA model could effectively simulate the decomposition process of Phragmites australis litter. The fitting degree between the predicted and the measured data was high (r² = 0.90-0.99), and the models of mass loss (ML-model) was the best (r² = 0.99). (2) The mass loss (ML) of Phragmites australis litter increased with the increase of water temperature (WT).The N element accumulated first and then released in litter, and low pH (pH <8.326) promoted the release of N. In the whole process, P was mainly released, when WT>= 16.978 ℃, the P in litter decreased with the increase of dissolved oxygen (DO); when WT<16.978, WT℃ was negatively related to P. The result of the present work implied that HEA model could well predict and explain the decomposition process of litter and its ecological relationship with environmental factors. They are powerful tools for identify and quantify complex ecological relationships and thresholds in data and provide theoretical support for the prevention and control of endogenous pollution in shallow grass lake. [ABSTRACT FROM AUTHOR]