| 引用本文: | 董旭辉,羊向东,王荣,潘红玺.长江中下游地区湖泊硅藻-总磷转换函数.湖泊科学,2006,18(1):1-12. DOI:10.18307/2006.0101 |
| DONG Xuhui,YANG Xiangdong,WANG Rong,PAN Hongxi.A diatom-total phosphorus transfer function for lakes in the middle and lower reaches of Yangtze River. J. Lake Sci.2006,18(1):1-12. DOI:10.18307/2006.0101 |
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| 摘要: |
| 硅藻转换函数的研究为湖泊环境指标的定量重建提供了有效途径．在长江中下游45个湖泊水质和表层沉积硅藻调查的基础上,利用典型对应分析方法开展了表层硅藻与营养态指环的关系研究.15个水质指标中总磷解释了硅藻数据的最大变率,是影响硅藻种群分布的最重要最显著的环境变量．通过对不同加权平均回归方法的比较,选择了反向还原加权平均回归与校正方法建立了研究区硅藻-总磷转换函数模型．依据刀割法统计检验,该模型提供了较低的推导误差(RMSEPjack=0.157)．在删除异常样品后,该硅藻-总磷转换函数的推导能力明显增强,实测值与推导值的回归相关系数大大提高(R2jack=0.82),推导误差(RMSEPjack=0.12)也较原来降低了近21%．该转换函数同世界上其它区域的硅藻-总磷模型相比具有更强的推导能力．长江中下游地区硅藻-总磷转换函数的建立,为今后开展研究区内不同营养类型湖泊营养本底的定量重建奠定了基础,可望为湖泊治理参考目标的制定提供有效的技术支撑． |
| 关键词: 长江中下游湖泊 硅藻 总磷 典型对应分析(CCA) 转换函数 |
| DOI：10.18307/2006.0101 |
| 分类号: |
| 基金项目:中国科学院重大知识创新工程项日(KZCX1-SW-12)国家973项目(2002CB412300)共同资助 |
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| A diatom-total phosphorus transfer function for lakes in the middle and lower reaches of Yangtze River |
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DONG Xuhui1,2, YANG Xiangdong1, WANG Rong1,2, PAN Hongxi1
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1.Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;2.Graduate School of the Chinese Academy of Sciences, Beijing 100039, P. R. China
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| Abstract: |
| Diatom-based transfer function is established to provide an effective approach for the quantitative reconstruction of lake environmental indicators. Based on the investigation of water quality and surface diatoms from 45 lakes along the middle and lower reaches of Yangtze River, the relationships between diatoms and trophic variables were revealed by Canonical Correspondence Analysis (CCA). The result shown that total phosphorus (TP) can explain the most variation of diatom data, suggesting that it is the most important and significant variable which influenced on the diatom distributions. The inverse deshrinking weighted average model (WA) was chosen to establish the diatom-TP transfer function comparing with a series of WA models. According to the jackknifing statistical test the model gave a relative lower root-mean-square of error (RMSEPjack=0.157). After deleted outliers, the new model improved the prediction ability greatly, with a higher coefficient of prediction (R2jack=0.82) and a 21% decrease of predictive error ( RMSEPjack=0.12). It performed much better comparing to other regional TP models. The establishment of our diatom-TP transfer functions will lay a scientific foundation for the trophic status reconstruction in typical lakes in Yangtze floodplain, which will likely to be an effective technique to set realistic targets for lake environment harnessing. |
| Key words: Lakes in the middle and lower reaches of the Yangtze River region diatom total phosphorus (TP) Canonical Correspondence Analysis (CCA) transfer function |
