9th DOIS Research Seminar: Dr. Nicholas Friedman (Museum of Nature Hamburg) and Dr. Jamie Kass (Tohoku University)


Date & Time: June 1st 2023 15:45-17:15
Venue: Lecture Room and Zoom

 

Speaker 1:Dr. Nicholas Friedman (Museum of Nature Hamburg, Curator)
Title: Evolution across environmental gradients: how birds respond to changes in climate and disturbance

 

Speaker 2: Dr. Jamie Kass (Graduate School of Life Science, Tohoku University, Associate Professor)
Title: Predicting future ecosystem service potential with biodiversity models

 

Abstract (Talk 1)

As environmental conditions change, individuals that are better able to survive and reproduce in the new conditions will contribute more offspring to the next generation. This evolutionary process leads populations to adapt to local conditions, occasionally diverging from their original population and phenotype. Environmental gradients offer a opportunity to study the evolutionary process, how it produces biodiversity over millions of years, and how it affects populations today. Here I describe studies on an environmental gradient in aridity in Australia, and how bird species have adapted to survive and reproduce in some of the world’s most inhospitable deserts. I also describe studies on an environmental gradient in human disturbance in Okinawa, and how human activity affects animal behavior and ecology.

 

Abstract (Talk 2)

Many ecosystem functions and services (EFS) essential for human well-being are in danger of disruption due to environmental change. Pollination, pest control, waste decomposition, and flood attenuation, for example, are dependent upon particular species or functional groups, yet models that predict EFS have typically relied on biophysical variables such as land cover and topography. Considering the strong links between EFS and biodiversity, international consortia that advise on methods for predicting and mapping EFS now advocate strongly for including biodiversity models into workflows, though new methods are still adopted slowly. I will present on several methodological advances in biodiversity modeling and how they can be employed to help improve current and future EFS predictions.