Might be of interest.
For YETI
Debabrata Phukon
---------- Forwarded message ---------
From: Chitra-Tarak, Rutuja <rutuja@xxxxxxxx>
Date: Tue, Jul 7, 2020, 3:12 AM
Subject: Submit abstract to our AGU 2020 Fall Session: Linking
Aboveground-Belowground Processes in a Changing Environment.
To: meetyeti <meetyeti@xxxxxxxxxxxxx>
Cc: meet.yeti@xxxxxxxxx <meet.yeti@xxxxxxxxx>
Dear colleagues,
The connection between below-ground processes and above-ground metrics of
ecosystem function is an emerging and critical research frontier. We invite
contributions to the following AGU Fall Meeting session: *Linking
Aboveground-Belowground Processes in a Changing Environment*.
The AGU Fall Meeting 2020 (7-11 December) will be mostly virtual.
The deadline for abstract submission is *Wednesday, 29 July at 23:59 EDT*.
The virtual nature of this year’s Fall meeting, with registration fee that
is half the in-person rate, widely opens up opportunities for
participation. We encourage you to share this advert with those who might
be interested*.*
*B042 - Linking Aboveground-Belowground Processes in a Changing Environment*
https://agu.confex.com/agu/fm20/prelim.cgi/Session/105021
The interplay between aboveground vegetation processes (photosynthesis,
respiration, growth, mortality, change in species composition) and
belowground processes (interactions involving roots, microbiome, and water,
nutrients and carbon dynamics) regulates many critical biogeochemical
cycles. Challenges in measuring belowground processes have limited this
understanding so far. Hence, there is a critical need for research that
integrates modeling, field/lab experiments and big-data analytics to
elucidate belowground mechanisms, their aboveground feedbacks, and
thereupon improve projections of ecosystem fate and function--especially in
the context of a changing environment. We invite contributions from studies
across biomes and spatio-temporal time scales that address the linkages
between belowground processes and ecosystem fates and functions under
changing environment and resource limitation. These may use observational,
experimental, model, MODEX and machine-learning approaches, or advance
theory and synthesis (e.g. resource economics of functional traits).
Conveners
Rutuja Chitra-Tarak, Los Alamos National Laboratory
Elizabeth Agee, Oak Ridge National Laboratory
Chonggang Xu, Los Alamos National Laboratory
________
Rutuja Chitra-Tarak, PhD
Post Doctoral Research Associate
Earth and Environmental Sciences Division (EES-14)
Los Alamos National Laboratory
MS J495 Los Alamos, NM, 87545 USA
Research Associate
Smithsonian Environmental Research Center, MD USA
E-mail: rutuja@xxxxxxxx
________
