INF.06290.04 - Modelling species distribution and biodiversity patterns (Vollständige Modulbeschreibung)

INF.06290.04 - Modelling species distribution and biodiversity patterns (Vollständige Modulbeschreibung)

Originalfassung Englisch
INF.06290.04 15 CP
Modulbezeichnung Modelling species distribution and biodiversity patterns
Modulcode INF.06290.04
Semester der erstmaligen Durchführung
Fachbereich/Institut Institut für Informatik
Verwendet in Studiengängen / Semestern
  • Biodiversity Sciences (MA120 LP) (Master) > Biologie BiodiversityMA120, Akkreditierungsfassung gültig ab SS 2021 > Project modules offered by the Institute of Computer Science (Nat Sci III)
  • Bioinformatik (MA120 LP) (Master) > Bioinformatik BioinformatikMA120, Akkreditierungsfassung gültig ab SoSe 2023 > Bioinformatik (HB) (Anteil gem. § 5 Abs. 4-6, Anlage 2)
  • Bioinformatik (MA120 LP) (Master) > Bioinformatik BioinformatikMA120, Akkreditierungsfassung (WS 2016/17 - WS 2022/23) > Bioinformatik (HB)
  • Biologie (MA120 LP) (Master) > Biologie BiologieMA120, Akkreditierungsfassung gültig ab SoSe 2023 > B2
  • Biologie (MA120 LP) (Master) > Biologie BiologieMA120, Akkreditierungsfassung (WS 2010/11 - SoSe 2024) > Wahlpflichtmodule
Modulverantwortliche/r
Weitere verantwortliche Personen
Prof. Dr. Jonathan Chase; Prof. Dr. Helge Bruelheide; Dr. Erik Welk
Teilnahmevoraussetzungen
Kompetenzziele
  • Develop a comprehensive understanding of the models used to describe species distribution and species richness, including their strengths, limitations, and underlying assumptions.
  • Demonstrate the ability to critically analyze and compare models results with empirical data, effectively interpret and communicate the implications of these results.
  • Acquire a proficient command of the R programming language, enabling the student to write and execute simple programs for processing and analyzing species distribution and biodiversity data.
  • Gain competence in the use of GIS software to integrate and manipulate spatial data, create informative maps and analyze spatial patterns in species distribution and biodiversity.
  • Develop the skills to effectively read, critically evaluate and engage in discussions about research articles with a strong theoretical or modeling component related to species distribution and biodiversity patterns.
Modulinhalte
Part I, Introduction to species distribution pattern analysis
  • Introduction into GIS: vectorial and raster data; visualizing vectorial and raster data; projections and choice of datum; the attribute table for vectorial data and basic database operations; importing, editing and exporting data; basic spatial operations in GIS (geometric operations and spatial interpolation).
  • Mapping methods for plant distribution data; sources, compilation and gathering of plant distribution data; storage and organization of data.
  • Introduction to current plant biogeography and macroecological research and the relevant literature; revisiting the niche concept of large scale species distribution ranges
  • Introduction to Species Distribution Models; applications and use of plant distribution data;
  • Specifics of spatial data in statistical analyses; data preparation and transformations; assumptions of and conditions for spatial analyses of ecological data
  • Visualizing spatial data in R
  • Practical exercises in plant chorology and macroecology
Part II, Measuring and comparing patterns of biodiversity
  • Introduction to biodiversity measures and metrics (e.g., alpha, beta, gamma diversity)
  • Species area curves, endemics area curves, other macroecological patterns
  • R code for building spatial diversity patterns
  • R code for dissecting species richness scaling relationships
  • Functional and phylogenetic diversity measures; genetic and network diversity
  • Practical exercises for comparing biodiversity variation across natural and anthropogenic gradients
Lehrveranstaltungsformen Vorlesung
Kursus
Vorlesung
Kursus
Seminar
Kursus
Kursus
Kursus
Übung (1 SWS)
Vorlesung
Kursus
Vorlesung
Kursus
Seminar
Kursus
Seminar
Kursus
Vorlesung
Kursus
Übung (1 SWS)
Unterrichtsprachen Deutsch, Englisch
Dauer in Semestern 6 Wochen Semester
Angebotsrhythmus Modul jedes Wintersemester
Aufnahmekapazität Modul unbegrenzt
Prüfungsebene
Credit-Points 15 CP
Modulabschlussnote LV 1: %; LV 2: %; LV 3: %; LV 4: %; LV 5: %; LV 6: %; LV 7: %; LV 8: %; LV 9: %; LV 10: %; LV 11: %; LV 12: %; LV 13: %; LV 14: %; LV 15: %; LV 16: %; LV 17: %; LV 18: %; LV 19: %; LV 20: %.
Faktor der Modulnote für die Endnote des Studiengangs 1
Modulveran­staltung Lehrveranstaltungs­form Veranstaltungs­titel SWS Workload Präsenz Workload Vor- / Nach­bereitung Workload selbstge­staltete Arbeit Workload Prüfung incl. Vorbereitung Workload Summe
LV 1 Vorlesung Part I.1 Lecture Introduction to GIS 0
LV 2 Kursus Part I.2 Pre and post lecture self study and literature work 0
LV 3 Vorlesung Part I.3 Lecture Plant biogeography 0
LV 4 Kursus Part I.4 Pre and post lecture self study and literature work 0
LV 5 Seminar Part I.5 Seminar Current topics in plant biogeography and macroecology 0
LV 6 Kursus Part I.6 Pre and post lecture self study and literature work 0
LV 7 Kursus Part I.7 Practical course Species distribution modelling 0
LV 8 Kursus Part I.8 Pre and post lecture self study and literature work 0
LV 9 Übung Part I.9 Practical exercises and independent projects for analyzing species distribution data 1 0
LV 10 Vorlesung Part II.1 Lecture and discussion Measuring and comparing patterns of Biodiversity across scales 0
LV 11 Kursus Part II.2 Pre and post lecture self study and literature work 0
LV 12 Vorlesung Part II.3 Lecture and discussion Species area curves, endemics area curves, other macroecological patterns 0
LV 13 Kursus Part II.4 Pre and post lecture self study and literature work 0
LV 14 Seminar Part II.5 Seminar R code for building spatial diversity patterns 0
LV 15 Kursus Part II.6 Pre and post lecture self study and literature work 0
LV 16 Seminar Part II.7 Seminar R code for dissecting species richness scaling relationships 0
LV 17 Kursus Part II.8 Pre and post lecture self study and literature work 0
LV 18 Vorlesung Part II.9 Lecture and discussion Functional and phylogenetic diversity measures; genetic and network diversity 0
LV 19 Kursus Part II.10 Pre and post lecture self study and literature work 0
LV 20 Übung Part II.11 Practical exercises and independent projects for comparing biodiversity variation across natural and anthropogenic gradients 1 0
Workload modulbezogen 450 450
Workload Modul insgesamt 450
Prüfung Prüfungsvorleistung Prüfungsform
LV 1
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Gesamtmodul
Part I: Presentation and talks, written report, presentation of statistics and graphs,presentation of own results, Part II: independent project with paper and presentation
Wissenschaftlicher Vortrag Teil I, Wissenschaftlicher Vortrag Teil II, Protokoll, Wissenschaftlicher Vortrag (eigenständiges Projekt)
Wiederholungsprüfung
Regularien Teilnahme­voraussetzungen Angebots­rhythmus Anwesenheits­pflicht Gewicht an Modulnote in %
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