BIO.05948.03 - Projektmodul Spatial Ecology and Modeling (MA) (Vollständige Modulbeschreibung)

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 (WS 2010/11 - SoSe 2024) > 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 selbstgestaltete Arbeit	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	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	%