Statistical and process-based models for understanding species distributions in changing environments
Dissertation (kumulativ), Universität Potsdam, 2017
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| Sprache: | eng |
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Potsdam
2017
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Tag hinzufügen | Zusammenfassung: | Dissertation (kumulativ), Universität Potsdam, 2017 Understanding the distribution of species is fundamental for biodiversity conservation, ecosystem management, and increasingly also for climate impact assessment. The presence of a species in a given site depends on physiological limitations (abiotic factors), interactions with other species (biotic factors), migratory or dispersal processes (site accessibility) as well as the continuing effects of past events, e.g. disturbances (site legacy). Existing approaches to predict species distributions either (i) correlate observed species occurrences with environmental variables describing abiotic limitations, thus ignoring biotic interactions, dispersal and legacy effects (statistical species distribution model, SDM); or (ii) mechanistically model the variety of processes determining species distributions (process-based model, PBM). SDMs are widely used due to their easy applicability and ability to handle varied data qualities. But they fail to reproduce the dynamic response of species distributions to changing conditions. PBMs are… |
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| Beschreibung: | ix, 129 Seiten Diagramme, Illustrationen |