YoVDO

Using Insights From Life History Theory to Forecast Global Population Responses to Climate Change

Offered By: EvoEcoSeminars via YouTube

Tags

Population Dynamics Courses Climate Change Courses Ecology Courses

Course Description

Overview

Explore a comprehensive lecture on utilizing life history theory to predict global population responses to climate change. Delve into the maturation of scientific fields, the significance of life history traits, and their role in determining organism capabilities and limitations. Examine the taxonomic limitations of life history theory and investigate the factors shaping life history strategies. Analyze the predictive power of this framework, focusing on complex mammalian demographic responses to climate drivers and the greater diversity of life history traits in tropical regions. Investigate forecasts of life history strategies in temporally autocorrelated environments and learn how these traits predict responses to extreme climatic events. Discover a framework for classifying life history strategies and understand the concept of reproductive senescence as a third axis in this analysis.

Syllabus

Intro
A field of science comes of age when it is able to predict
Life history traits: key events in the life of an organism
Life history traits underpin what's possible
Life history trait trade-offs determine what's not possible
Life history theory is taxonomically handicapped
What determines the repertoire of life history strategies?
Predictive power of the framework
Mammal demographic responses to climate drivers are complex
Tropical life history trait diversity is greater
Forecast of life history strategies in temporally autocorrelated environments
Life history traits predict responses to extreme climatic events
A framework to classify life history strategies...
Using insights from life history theory to forecast global population responses to climate change
A third axis: reproductive senescence


Taught by

EvoEcoSeminars

Related Courses

Introduction to Computational Thinking and Data Science
Massachusetts Institute of Technology via edX
APĀ® Environmental Science - Part 2: Populations
Rice University via edX
Ecology: from cells to Gaia
Tomsk State University via Coursera
Searching for the Grand Paris
Institut d'Etudes Politiques de Paris via Coursera
Population Studies
Indian Institute of Technology Kanpur via Swayam