Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2017
Authors
Bjørg Helen Nøstvold Ingrid Kvalvik Rune Rødbotten Eivind Uleberg Sigridur DalmansdottirAbstract
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Authors
Ruth Gebauer Joshua F. CabellAbstract
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Daniel RasseAbstract
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Authors
Claudia Kammann Jim Ippolito Nikolas Hagemann Nils Borchard Maria Luz Cayuela José M. Estavillo Teresa Fuertes-Mendizabal Simon Jeffery Jürgen Kern Jeff Novak Daniel Rasse Sanna Saarnio Hans-Peter Schmidt Kurt Spokas Nicole Wrage-MönnigAbstract
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This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
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Abstract
Forest covers 37% of Norway’s combined area, almost half of which is made up by the tree species called Norway spruce. The rest consists of mostly pine and birch. It is therefore only natural that spruce forests should feature so heavily on black metal album covers and lyrics. The extreme music genre of black metal, as we think of it today, was birthed in Norway. Although it could be said that its place of origin was accidental, the subsequent use and appropriation of that place’s topographic features was not. Since its inception in the early nineties, the genre has spawned countless bands across the globe, many who take on its misanthropic ethos, but also a deep reverence and respect for nature. Within black metal’s aesthetic, photographs of ominous black tree lines and lyrics about disappearing into the depths of the forest abound – it is almost as if the spruce tree has become its own character in the mythology that black metal has become.
Authors
Holger LangeAbstract
Long time series of environmental variables are reflecting the dynamics of ecosystems. Data on climate, water, carbon, nutrients and other observables provide the key to understand terrestrial systems and to detect trends, systemic changes and responses, e.g. to changing climate, disturbances, or management. We present a number of diagnostic measures, based on symbolic dynamics or order statistics, which quantify the information content and the complexity of environmental time series. Three examples for the application of complexity measures in environmental sciences will be provided: Earth System Models and their ability to reproduce observations of Gross Primary Productivity, the dynamics of river runoff, and long-term behavior of ion concentrations in stream water from a monitoring site in Germany. Diagnostic measures of this kind provide data-analytical tools that distinguish different types of natural processes based solely on their dynamics, and are thus highly suitable for environmental science applications such as model structural diagnostics.