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• 方法与技术 • 上一篇    

草地干重排序快速监测方法在高寒草甸中的应用

李帅1,花立民1**,聂中南1,2,郑阳1   

  1. (1甘肃农业大学草业学院, 兰州 730070; 2澳大利亚维多利亚洲初级产业部, 汉密尔顿)
  • 出版日期:2015-12-10 发布日期:2015-12-10

Application of dry-weight rank rapid monitoring of grassland in the alpine meadow.

LI Shuai1, HUA Li-min1**, NIE Zhong-nan1,2, ZHENG Yang1   

  1. (1College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; 2Department of Economic Development, Jobs, Transport and Resources, Hamilton, Victoria, Australia)
  • Online:2015-12-10 Published:2015-12-10

摘要: 为准确快速监测高寒草甸草产量和植物学组成,本研究借鉴澳大利亚草地干重排序法(dry-weight rank, DWR)与传统样方法(quadrat sampling, QS)在甘肃天祝县高寒草甸实地进行草地监测试验,并在准确性和工作效率进行比较。结果表明,在低、中、高3个牧草高度的样地,DWR估测值与QS实测值没有显著性差异(P>0.05);DWR草产量估测值与矫正值的相关系数r分别为0.982(中草区)>0.919(低草区)>0.859(高草区)(P<0.01);DWR法与QS法所监测共同植物干物质成分百分比相关系数r分别为0.975(中草区)>0.972(高草区)>0.961(低草区) (P<0.01)。工作效率方面,相同条件下监测草产量和植物学组成,DWR法所需人力是QS法的1/4,所需时间是QS法的1/9。DWR法保证高准确性同时显著提高工作效率,具有很好推广价值。

关键词: 海河流域, 有机碳, 氮, 沉积物, 磷, 污染评价

Abstract: For accurate and fast monitoring of the aboveground biomass and botanical composition of the alpine meadow, we examined the Australian dryweight rank (DWR or BOTANAL) method for use in the alpine pasture of Tianzhu County, Gansu Province. We compared the results from the DWR method with that from the traditional quadrat sampling (QS) in short, medium and tall pastures and analyzed their accuracy and efficiency. The results showed that there was no significant difference in biomass production and botanical composition between the DWR and QS (P>0.05). There were significant positive relationships in biomass production between the DWR and QS (P<0.01) with the correlation coefficient (r) being 0.919, 0.982 and 0.859 for the short, medium and tall pastures, respectively. The species recorded by the DWR and QS were
identical and there were significant relationships in the botanical composition of the major species between the DWR and QS (P<0.01) with r being 0.961, 0.975 and 0.972 for the short, medium and tall pastures, respectively. In terms of measurement efficiency, the number of observers and time required for the DWR method were 1/4 and 1/9 of that required by the QS, respectively, for the same amount of data collection. These demonstrated that the DWR method is an accurate technique to monitor aboveground biomass and botanical composition in the alpine meadow and could dramatically save time and improve work efficiency in these harsh environments.

Key words: phosphorus, organic carbon, pollution evaluation, nitrogen, Haihe River Basin., sediment