Description: Das Projekt "Entwicklung eines statistischen Designs für die zweite Bodenzustandserhebung Wald (BZE 2)" wird vom Umweltbundesamt gefördert und von Universität Hamburg, Arbeitsbereich für Weltforstwirtschaft und Institut für Weltforstwirtschaft des Friedrich-Löffler-Institut, Bundesforschungsinstitut für Tiergesundheit durchgeführt. Project objectives: Some fundamental statistical questions are existing in the end of implementation phase for the second soil condition survey (BZE 2) in Germany. These are described in a memorandum from the Referat 533 of BMVEL (533-7673-1/4) from 30.07.2004. This project is to be supposed to develop and implement a mathematical-statistical way for evaluation of the second soil condition survey. In a first Step possibilities and the potential for stratification to reduce the sampling error will be show. Existing Follow-up Inventory Concepts will be discussed under the special context of BZE. Soil parameters vary on a very small spatial scale. To estimate the error arising from the kind of sampling design on a sampling plot samples on a scale from 0 to 20 meters will be collected and completed by data sets suited for such questions. These data are the base for geo-statistical analysis. The error due to the sampling design can be quantified by various simulations. In the preface of BZE a set of soil samples are analysed from different laboratories and by different laboratory methods. The Varity of these results could be seen as a scope of bias. All these errors lead to an overall error budget, which shows the proportion between the individual error sources and the source for future research. Project results: This project is to be supposed to develop and implement a mathematical-statistical way for evaluation of the second soil condition survey under the scope, given by the memorandum from the Referat 533 of BMVEL (533-7673-1/4) from 30.07.2004. With the end of the project an objective scale for evaluating different versions for taking soil samples is available. First times, the relation of used resources and the realized sampling error for soil inventories can be evaluated. So there is the chance for a better estimation of error scope and for the decrease of costs in future inventories. Contribution of University of Hamburg: - developing and suggesting a mathematical statistical way for the evaluation of the second soil condition survey; - analyzing the potential of stratification to reduce the sampling error; - compiling an overall error budget estimated from errors of sampling design, local variability of soil parameters and different means of analyzing soil parameters in the laboratory.
Types:
SupportProgram
Origin: /Bund/UBA/UFORDAT
Tags: Messgerät ? Seen ? Hamburg ? Bodenzustandserhebung ? Abfallbehandlung ? Blei ? Bundesrepublik Deutschland ? Kataster ? Kind ? Bodenqualität ? Tiergesundheit ? Bewertung ? Bodenschätzung ? Bodenprobe ? Daten ? Dosis ? Zukunftsforschung ? Kostensenkung ? Simulation ? Bestandsaufnahme ? Boden ? Geodäsie ? Forschungseinrichtung ? Kenngröße ? Ressource ? Schadstoffquelle ? Schichtung ? Wald ? Planung ? Potenzial ? Möglichkeit ? Probenart ? Ableitung ? Projekt ? Verhältnis ? Werkzeug ? besonder ? Abschätzung ? Beitrag ? Bestandsaufnahme, Bodenbonitierung ? bestehend ? Budget ? statistisch ? Ergebnis ? Fehler ? unter ? Basen [chemisch] ? Probe ? Frage ? Grundlage ? Methode ?
Region: Hamburg
Bounding box: 9.99302° .. 9.99302° x 53.55073° .. 53.55073°
License: cc-by-nc-nd/4.0
Language: Deutsch
Time ranges: 2006-01-01 - 2007-12-31
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