MLU
BIO.05948.03 - Projektmodul Spatial Ecology and Modeling (MA) (Vollständige Modulbeschreibung)
Originalfassung Englisch
BIO.05948.03 15 CP
Modulbezeichnung Projektmodul Spatial Ecology and Modeling (MA)
Modulcode BIO.05948.03
Semester der erstmaligen Durchführung
Fachbereich/Institut Institut für Biologie
Verwendet in Studiengängen / Semestern
  • Bioinformatik (MA120 LP) (Master) > Bioinformatik BioinformatikMA120, Akkreditierungsfassung gültig ab SoSe 2023 > Biologie (Anteil gem. § 5 Abs. 4-6, Anlage 2)
  • Bioinformatik (MA120 LP) (Master) > Bioinformatik BioinformatikMA120, Akkreditierungsfassung (WS 2016/17 - WS 2022/23) > Biologie
  • Biologie (MA120 LP) (Master) > Biologie BiologieMA120, Akkreditierungsfassung gültig ab WS 2010/11 > Wahlpflichtmodule
Modulverantwortliche/r
Weitere verantwortliche Personen
Prof. Dr. H. M. Pereira, Prof. Dr. T. Knight, Prof. Dr. S. Harpole, Prof. Dr. I. Kühn
Teilnahmevoraussetzungen
Kompetenzziele
  • Have a basic understanding of the models used in ecology including: differential and difference equations; individual based models and grid simulations; statistical models, particularly species distribution models.
  • Ability to create and parameterize models, and to evaluate uncertainty in model results.
  • Ability to determine the type of model needed for the ecological question of interest.
  • Ability to compare models results with empirical data, to interpret model results, and to assess the quality and relevance of the models.
  • Have a basic command of the R language, including the ability to write simple programs.
  • Ability to read a research article with a strong theoretical or modeling component.
Modulinhalte
  • Part I: Theoretical Ecology and Modeling: Introduction to programming in R: scripts and the command line, variables, data structures (vectors and matrices); numerical operations; matrix operations; plots; logical expressions and conditional operations, functions. - Basic statistical operations with R: descriptive statistics and histograms, regression, and hypothesis testing. - Ecophysiology: a model of thermoregulation and the concept of climate space; modeling the impacts of climate change using ecophysiological models. - Behavioral ecology: introduction to economic analysis of behavior; models for optimal foraging; game theory and evolutionary stable strategies; habitat selection and the ideal free distribution; affinity of species to natural and human-dominated habitats. - Social-ecological models: coupling social models of decision-making with ecological models; introduction to regime shifts and multiple stable states.
  • Part II: Introduction to Population Ecology: Introduction to modeling the dynamics of populations using mathematical models (difference equations and individual based models). - Focus on conservation application of modeling for preserving natural populations and for ecological restoration. - Incorporating environmental stochasticity and density dependence into the exponential growth model. - Stage-structured population growth using matrix population models. - Integral projection models. - Metapopulation models and individual-based population models.
  • Part III: Community Ecology (Theory, reading and modeling in R): Competition and coexistence (phenomenological). - Competition and coexistence (mechanistic). - Other coexistence mechanisms (predation). - Coexistence in space. - Niche, neutral and stochasticity.
  • Part IV: Analyzing Spatial data with R: 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. - Reviving Generalized Linear Models; calibration, validation, prediction and projection; accounting for spatial autocorrelation. - Introduction to Species Distribution Models; overview on different algorithms (e.g. Generalized Additive Models, Boosted Regression Trees) and available R packages.
Lehrveranstaltungsformen Vorlesung (1 SWS)
Vorlesung
Vorlesung
Vorlesung
Praktikum (8 SWS)
Kursus
Kursus
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: %.
Faktor der Modulnote für die Endnote des Studiengangs 1
Hinweise
Maximum number of students (with focus ecology): 16; Calendar: The four parts take place in Halle (Institute for Biology - Geobotany and Botanical Garden, MLU, Halle and/or Helmholtz Centre for Environmental Research, UFZ, Halle) and in Leipzig (German Center for Integrative Biodiversity Research - iDiv), respectively.
Modulveran­staltung Lehrveranstaltungs­form Veranstaltungs­titel SWS Workload Präsenz Workload Vor- / Nach­bereitung Workload selbstge­staltete Arbeit Workload Prüfung incl. Vorbereitung Workload Summe
LV 1 Vorlesung Lecture 'Theoretical Ecology and Modeling' 1 0
LV 2 Vorlesung Lecture 'Introduction to Population Ecology' 0
LV 3 Vorlesung Lecture 'Community Ecology' 0
LV 4 Vorlesung Lecture 'Analyzing spatial data with R' 0
LV 5 Praktikum Practical course 'Spatial Ecology/Ecological Modeling' 8 0
LV 6 Kursus Lab assignment reports 0
LV 7 Kursus Pre- and post-lecture self-study and literature work 0
Workload modulbezogen 450 450
Workload Modul insgesamt 450
Prüfung Prüfungsvorleistung Prüfungsform
LV 1
LV 2
LV 3
LV 4
LV 5
LV 6
LV 7
Gesamtmodul
Practical course reports 'Plant chorology/macroecology', Literature review 'Current research in spatial ecology', Mini-paper 'Spatial modeling', Computational lab assignment reports (8 reports), Development, report and presentation of an ecological model
Hausarbeit, Klausur
Wiederholungsprüfung
Regularien Teilnahme­voraussetzungen Angebots­rhythmus Anwesenheits­pflicht Gewicht an Modulnote in %
LV 1 Wintersemester Nein %
LV 2 Wintersemester Nein %
LV 3 Wintersemester Nein %
LV 4 Wintersemester Nein %
LV 5 Wintersemester Nein %
LV 6 Wintersemester Nein %
LV 7 Wintersemester Nein %