Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations
نویسندگان
چکیده
Quality of measurements is an important factor affecting the reliability of analyses in environmental sciences. In this paper we combine foliar measurement data from Finland and results of multiple measurement quality tests from different sources in order to study the effect of measurement quality on the reliability of foliar nutrient analysis. In particular, we study the use of weighted linear regression models in detecting trends in foliar time series data and show that the development of measurement quality has a clear effect on the significance of results.
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