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Trends in Forest Soil Acidity: A GAM Based Approach with Application on Swedish Forest Soil Inventory Data
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The acidification of soils has been a continuous process since at least the beginning of the 20th century. Therefore, an inquiry of how and when the soil pH levels have changed is relevant to gain better understanding of this process. The aim of this thesis is to study the average national soil pH level over time in Sweden and the local spatial differences within Sweden over time. With data from the Swedish National Forest Inventory, soil pH surfaces are estimated for each surveyed year together with the national average soil pH using a generalized additive modeling approach with one model for each pair of consecutive years. A decreasing trend in average national level soil pH was found together with some very weak evidence of year-to-year differences in the spatial structure of soil pH.

Place, publisher, year, edition, pages
2018.
Keywords [en]
soil pH, soap film smoothing, generalized additive models, spatial modeling
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-352392OAI: oai:DiVA.org:uu-352392DiVA, id: diva2:1215453
External cooperation
Sveriges Lantbruksuniversitet
Subject / course
Statistics
Educational program
Master Programme in Statistics
Presentation
2018-05-30, B139, Ekonomikum, Kyrkogårdsgatan 10, Uppsala, 09:55 (English)
Supervisors
Examiners
Available from: 2018-06-19 Created: 2018-06-08 Last updated: 2018-06-19Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf