701-1676-01L  Landscape Genetics

SemesterAutumn Semester 2017
LecturersR. Holderegger, J. Bolliger, F. Gugerli
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 14.

Prerequisites: good knowledge in population genetics and some experience in using GIS and R is required.



Courses

NumberTitleHoursLecturers
701-1676-01 GLandscape Genetics
Blockkurs: 12.2.2018-17.2.2018
Ort der Veranstaltung: EPD01 / WSL Birmensdorf
48s hrsR. Holderegger, J. Bolliger, F. Gugerli

Catalogue data

AbstractThis six-day winter school aims at teaching advanced Master students, PhD students and postdocs on landscape genetics. It provides both theoretical background as well as hands-on exercises on major topics of contemporary landscape genetics and landscape genomics such as landscape effects on gene flow and adpative genetic variation in a landscape context.
ObjectiveLandscape genetics is an evolving scientific field of both basic and applied interest. Researchers as well as conservation managers make increasing use of landscape genetic thinking and methods. Landscape genetics builds on concepts and methods from landscape ecology and population genetics. This winter school introduces advanced students to major concepts and methods of landscape genetics and genomics, i.e. (i) the study of landscape effects on dispersal and gene flow and (ii) the study of the interactions between the environment and adaptive genetic variation. The winter school focuses on currently used methods and hands-on exercises. It is specifically aimed at the needs of advanced students (Master, PhD and postdocs).
ContentThemes:
(1) Genetic data: estimates of gene flow; genetic distances; assignment tests and parentage analysis.
(2) Landscape data: landscape resistance; least cost paths; transects
(3) Landscape genetic analysis of gene flow: partial Mantel tests and causal modeling; multiple regression on distance matrices and mixed effects models.
(4) Networks and graph theory.
(5) Landscape genomics: adaptive genetic variation; outlier detection; environmental association.
(6) Overlays: Bayesian clustering; barrier detection; kriging.
Lecture notesHand-outs will be distributed.
LiteratureThe course requires 4 hours of preparatory reading of selected papers on landscape genetics. These papers will be distributed by e-mail.
Prerequisites / NoticeGrading will be according to a short written report (6-8 pages) on one of the themes of the course (workload: about 8 hours) and according to student contributions during the course.

Prerequisites: students should have good knowledge in population genetics and some experience in using GIS and R.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersR. Holderegger, J. Bolliger, F. Gugerli
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationFull presence in the course. Grading will be according to a short written report (6-8 pages) on one of the themes of the course (workload: about 8 hours) and according to student contributions during the course.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places14 at the most
Waiting listuntil 18.01.2018

Offered in

ProgrammeSectionType
Doctoral Department of Environmental SciencesEcology and EvolutionWInformation
Environmental Sciences MasterAdvanced Concept ClassesWInformation