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.
2014
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This study presents the analysis of panel data on steep terrain logging productivity in Norway. Given the specification of a Cobb Douglas stochastic frontier production function in which the technical inefficiency is a function of six different environmental factors, it was found that only one (terrain hindrance) decreased the efficiency significantly. The estimated efficiencies for the sample crews ranged from 0.43 to 0.99. Because of the nature of the inefficiency factors, one way to improve the efficiency could be to train the crews for working on steep slopes. This would also improve the safety when exposing workers to these types of environmental hazards.
Authors
Seyda Ozkan Bouda Vosough Ahmadi Helge Bonesmo Olav Østerås Alistair Stott Odd Magne HarstadAbstract
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Lise Dalsgaard Clara Antón Fernández Rasmus Astrup Signe Kynding Borgen Johannes Breidenbach Holger Lange Jogeir N. Stokland Gunnhild SøgaardAbstract
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The analysis of temporal geospatial data has provided important insights into global vegetation dynamics, particularly the interaction among different variables such as precipitation and vegetation indices. Nevertheless, this analysis is not a straightforward task due to the complex relationships among different systems driving the dynamics of the observed variables. Aiming at automatically extracting information from temporal geospatial data, we propose a new approach to detect stochastic and deterministic patterns embedded into time series and illustrate its effectiveness through an analysis of global geospatial precipitation and vegetation data captured over a 14 year period. By knowing such patterns, we can find similarities in the behavior of different systems even if these systems are characterized by different dynamics. In addition, we developed a novel determinism measure to evaluate the relative contribution of stochastic and deterministic patterns in a time series. Analyses showed that this measure permitted the detection of regions on the global map where the radiation absorbed by the vegetation and the incidence of rain occur with similar patterns of stochasticity. The methods developed in this study are generally applicable to any spatiotemporal data set and may be of particular interest for the analysis of the vast amount of remotely sensed geospatial data currently being collected routinely as part of national and international monitoring programs.
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