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Ecological interactions and climate change: what can past evolution teach us about the future? - Detailseite

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Grunddaten
Veranstaltungsart Q-Team Veranstaltungsnummer 21811714
Semester WiSe 2022/23 SWS 2
Rhythmus keine Übernahme Moodle-Link  
Veranstaltungsstatus Freigegeben für Vorlesungsverzeichnis  Freigegeben  Sprache englisch
Belegungsfrist - Eine Belegung ist online erforderlich
Veranstaltungsformat Digital

Termine

Gruppe 1
Tag Zeit Rhythmus Dauer Raum Gebäude Raum-
plan
Lehrperson Status Bemerkung fällt aus am Max. Teilnehmer/-innen
Mo. 14:00 bis 16:00 wöch 17.10.2022 bis 18.02.2023      findet statt     1000
Gruppe 1:
Zur Zeit keine Belegung möglich


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Cosme, Marco verantwortlich
Zuordnung zu Einrichtungen
Einrichtung
Universitätsverwaltung, Studienabteilung (I), Administration Qualitätspakt Lehre, bologna.lab
Inhalt
Kommentar

Climate change is not only inevitable as it is already irreversible. In contrast to most past changes, the current human-made changes are abrupt and will unleash widespread extreme weather, with dramatic consequences for ecosystems and evolution. With this scenario of rapid alterations, it is urgent to improve our understanding of the ecological and evolutionary patterns by which natural populations adapt at different rates.

In this Q-Team, we will use a research-based learning approach to answer the question of “how ecological interactions affect the evolutionary rate of adaptation to change?”. The seminar will offer a venue for pro-active participation by the students in the learning process, while addressing the topics of climate change, ecological interactions, and evolution, as well as the different stages of a research project. Students will have the opportunity to perform independent research, both individually and in group, by focusing on a subordinate question defined by their favorite phylogeny and ecological interaction. By promoting interactive and hands-on sessions, the seminar will employ open-source resources such as large trait databases and software methods for estimating transition rates in adaptive traits during evolution. With this joint goal-oriented work as a research team, students will generate new knowledge useful to improve predictions of future ecosystem dynamics under climate change.

The Q-Team aims to provide an interdisciplinary and collaborative setting fitted for students of the MSc in Organismal Biology, Biodiversity and Evolution and MSc in Global Change Geography. Students of other biology degrees and political science with strong interest in biodiversity and climate change are encouraged to participate. Students should bring to the team a proactive and participative attitude in every session as well as the resolve to undertake a challenging question, learn a complex method, and assimilate interdisciplinary ideas. The ability to read and discuss scientific papers and motivation to discuss and communicate the implications of results is required.

Bemerkung

This course starts on monday 17th October.

Strukturbaum

Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WiSe 2022/23. Aktuelles Semester: SoSe 2024.
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