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首页> 外文期刊>Ecological indicators >Constraints in the identification and interpretation of ozone as a significant predictor of effects on the supersensitive indicator Nicotiana tabacum Bel-W3 in biomonitoring studies
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Constraints in the identification and interpretation of ozone as a significant predictor of effects on the supersensitive indicator Nicotiana tabacum Bel-W3 in biomonitoring studies

机译:在生物监测研究中,臭氧的识别和解释是对超灵敏指标烟草Bel-W3影响的重要预测因子,因此受到限制

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摘要

Biomonitoring by means of the supersensitive cultivar Nicotiana tabacum Bel-W3 is frequently used to obtain information on ozone effects on plants and estimates of ozone exposure. However, most of biomonitoring surveys do not account for other environmental variables (predictors in a statistical model) and their inherent multicollinearity with ozone. We tested the relative role of different predictors (fixed: time and site; random: ozone, temperature and humidity) on height growth and on the development of visible foliar symptoms of N. tabacum Bel-W3 plants. To do this, we investigated a relatively small area (256 km2), used a random design at every stage of the survey, controlled watering and protected plants from direct solar radiation and wind. QA/QC procedures were adopted at every stage of the investigation. Linear correlation shows that Leaf Injury Index (L1I) and height increment (H.I.) positively related to ozone concentration, elevation and temperature, and negatively to relative humidity. All the predictors correlate to each other. However, relationships between response and ozone vary with the site and the monitoring week. The effect of the random factor "ozone" in combination with fixed factors "site" and "time" on the response variables was therefore formally investigated using the ANCOVA model. Besides ozone, the interactions "ozone x site" and "ozone x time" resulted always significant (0.001
机译:借助于超敏感烟叶烟草Bel-W3的生物监测经常用于获得有关臭氧对植物的影响以及对臭氧暴露的估计的信息。但是,大多数生物监测调查并未考虑其他环境变量(统计模型中的预测变量)及其与臭氧的固有多重共线性。我们测试了不同预测因子(固定的:时间和地点;随机的:臭氧,温度和湿度)在高度生长和烟草N.-W3植物可见叶症状发展方面的相对作用。为此,我们调查了一个相对较小的区域(256平方公里),在调查的每个阶段都采用了随机设计,控制浇水,并保护植物免受太阳直射和风的直接照射。在调查的每个阶段都采用质量保证/质量控制程序。线性相关性表明,叶片伤害指数(L1I)和高度增加(H.I.)与臭氧浓度,海拔和温度成正相关,而与相对湿度成负相关。所有的预测变量相互关联。但是,响应与臭氧之间的关系随现场和监测周的不同而不同。因此,使用ANCOVA模型正式研究了随机因素“臭氧”与固定因素“站点”和“时间”相结合对响应变量的影响。除臭氧外,“臭氧x位点”和“臭氧x时间”的相互作用始终很显着(0.001

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  • 来源
    《Ecological indicators》 |2011年第5期|p.1065-1073|共9页
  • 作者单位

    IASMA Research and Innovation Centre, Fondazione Edmund Mach - Environment and Natural Resources Area, Via E. Mach J, 38010 San Michele all'Adige (TN), Italy;

    IASMA Research and Innovation Centre, Fondazione Edmund Mach - Environment and Natural Resources Area, Via E. Mach J, 38010 San Michele all'Adige (TN), Italy;

    IASMA Research and Innovation Centre, Fondazione Edmund Mach - Environment and Natural Resources Area, Via E. Mach J, 38010 San Michele all'Adige (TN), Italy;

    BIOCONNET, Biodiversity and Conservation Network, Department of Environmental Science "C.Sarfatti", University of Siena, Via P.A. Mattioli 4, 53100 Siena, Italy,TerraData environmetrics, Dipartimento di Scienze Ambientali "C. Sarfatti", Via P.A. Mattioli 4,53100 Siena, Italy;

    TerraData environmetrics, Dipartimento di Scienze Ambientali "C. Sarfatti", Via P.A. Mattioli 4,53100 Siena, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    tobacco; ozone; temperature; relative humidity; ANCOVA;

    机译:烟草;臭氧;温度;相对湿度;安科瓦;

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