Quantifying impacts of climate extreme events on vegetation event coincidence analysis and its applications across scales
Dissertation, Universität Potsdam, Mathematisch-Naturwissenschaftliche Fakultät, 2018
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| Sprache: | eng |
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Potsdam
2018
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Tag hinzufügen | Zusammenfassung: | Dissertation, Universität Potsdam, Mathematisch-Naturwissenschaftliche Fakultät, 2018 Together with the gradual change of mean values, ongoing climate change is projected to increase frequency and amplitude of temperature and precipitation extremes in many regions of Europe. The impacts of such in most cases short term extraordinary climate situations on terrestrial ecosystems are a matter of central interest of recent climate change research, because it can not per se be assumed that known dependencies between climate variables and ecosystems are linearly scalable. So far, yet, there is a high demand for a method to quantify such impacts in terms of simultaneities of event time series. In the course of this manuscript the new statistical approach of Event Coincidence Analysis (ECA) as well as it's R implementation is introduced, a methodology that allows assessing whether or not two types of event time series exhibit similar sequences of occurrences. Applications of the method are presented, analyzing climate impacts on different temporal and spacial scales: the impact of extraordinary expressions of various climatic… |
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| Beschreibung: | Enthält 6 Publikationen kumulative Dissertation |
| Beschreibung: | v, 124 Seiten Illustrationen, Diagramme |