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SUMMARY:ENAC Seminar Series by Dr K. Csilléry
DTSTART:20210519T090000
DTEND:20210519T094500
DTSTAMP:20260527T120644Z
UID:c24f9ad2a6233e0ae065f2c57f96bd3e9b8325e2353764c55a0b3f6c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Katalin Csilléry\n09:00 – 09:45 – Dr K. Csilléry\nGro
 up Leader at Evolutionary Genetics Group\, Swiss Federal Research Institut
 e WSL\, CH\n\nGoing global without losing the local: upscaling environment
 al adaptation research\n\nAdaptation to climate change is the major challe
 nge of our time. While we may attempt to adapt our society\, economy\, and
  infrastructure to meet this challenge\, adaptability of the biosphere is 
 largely out of our control\, yet our existence depends on it. Understandin
 g biological adaptation has never been more essential. We need general ans
 wers and scalable results\, however\, most empirical ecological and evolut
 ionary research is focusing on case studies. Several promising tools appea
 red in the past few years that could improve the scalability of research f
 indings. In this talk\, I will present four innovative approaches to upsca
 le studies of adaptation to a changing environment\, mostly applied to for
 est trees. First\, harmonized\, high-resolution girded environmental data 
 are becoming available across large spatial scales. I will show examples o
 f using unconventional environmental variables to upscale adaptation studi
 es to the landscape level\, while also stressing the importance of on-site
  measures. Second\, species distribution models are extensively used to pr
 ovide predictions of future species ranges under climate change. Using a n
 ovel database and evolutionary theory\, I will describe a framework to pre
 dict future species ranges while accounting for adaptation. Third\, I will
  show how a unique combination of existing plantations of exotic tree spec
 ies and remote sensing may aid an adaptive forest management across large 
 spatial scales. Fourth\, the potential of bottom-up approaches\, such as c
 itizen science is increasingly recognized. Combined with genomic tools and
  statistical models borrowed from animal and plant breeding\, I will expla
 in how my ERC project leverages participatory science to upscale local ada
 ptation experiments in an unprecedented manner.\n\n\nShort bio:\nDr Csill
 éry is an evolutionary biologist and geneticist\, with a PhD in populatio
 n genetics from the University of Edinburgh in 2009. During her postdoctor
 al research\, she pioneered the use of Approximate Bayesian Computation an
 d developed related software. Later\, she studied the ecology and genomics
  of forest trees at the INRAE\, while maintaining a vivid interest in stat
 istical methods. She became an independent research fellow in 2015\, suppo
 rted by the ETH Zurich\, a Marie Skłodowska-Curie Independent Fellowship 
 and the Swiss National Science Foundation. In 2020\, she was awarded an ER
 C Consolidator Grant and started her research group in Evolutionary Geneti
 cs at the Swiss Federal Research Institute WSL. Her research provides a br
 idge between genomics\, traits\, and the environment to understand how sel
 ection has shaped the complex life-histories of tree species\, and uses a 
 wide range of tools from field experiments\, through statistical modeling\
 , to evolutionary quantitative genetic theory.\n 
LOCATION:https://epfl.zoom.us/j/61136166624
STATUS:CONFIRMED
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