Beyond Assumptions: Unraveling Data Limitations in Predictive Ecology – Ing. Lukáš Gábor, Ph.D.
Ing. Lukáš Gábor, Ph.D.
Doctoral thesis
Beyond Assumptions: Unraveling Data Limitations in Predictive Ecology
Abstract:
Context Species distribution models (SDMs) have proven valuable in filling gaps in our knowledge of species occurrences. However, despite their broad applicability, SDMs exhibit critical short- comings due to limitations in species occurrence data and in environmetal variables. Typical example of such limitation in species records is spatial uncertainty in their location, ranging from a few meters …more
Language used: English
Date on which the thesis was submitted / produced: 10. 9. 2024
Thesis defence
- Supervisor: doc. Ing. Vítězslav Moudrý, Ph.D.
- Reader: Markéta Zárybnická, Ph.D., doc. Ing., Antonín Macháč, externi, Christine Meynard, externi
Citation record
ISO 690-compliant citation record:
GÁBOR, Lukáš. \textit{Beyond Assumptions: Unraveling Data Limitations in Predictive Ecology}. Online. Doctoral theses, Dissertations. Praha: Czech University of Life Sciences Prague, Faculty of Environmental Sciences. 2024. Available from: https://theses.cz/id/3kutit/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Fakulta životního prostředíCzech University of Life Sciences Prague
Faculty of Environmental SciencesDoctoral programme / specializace:
Environmental Earth Sciences / Spatial Sciences
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