Abstract：Quantile regression was used to estimate the relationships between nutrients (TP and TN) and their response (Chl a) of Dianshan Lake. The impacts of nutrients on Chla at the conditional quantiles were different. At lower quantile (0.10~0.50), algal biomass (Chl a) was mainly controlled by TP, while at upper quantile(0.60~0.90)algal biomass might depend on both TP and TN, inhibited effects of TN on algal growth increasing with higher quantiles. The 60th percentile might be the key for shifting limiting nutrient from TP to TN on algal growth. Ordinary least squares (OLS) regression cannot estimate multiple rates of change describing the relationship between nutrient input and response of Dianshan Lake.
李小平, 程曦, 陈小华. 淀山湖营养物输入响应关系的分位数回归分析[J]. 中国环境科学, 2012, 32(2): 324-329.
LI Xiao-Ping, CHENG Xi, CHEN Xiao-Hua. A quantile regression for relationship between nutrient input and response of Dianshan Lake. CHINA ENVIRONMENTAL SCIENCECE, 2012, 32(2): 324-329.
