Dear all,
We would like to remind you that the submission deadline for our session
at INQUA 2019 is coming soon- 9th January (see details below).
Please consider submitting an abstract. Looking forward to seeing you
there.
Best wishes,
Alistair
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INQUA Commission: Humans and Biosphere
Session Title: Resilience, stability and abrupt change in long-term
ecological records.
Convenors and Co-Convenors: Alistair Seddon (Convenor) Pete Langdon
(Co-Convenor) Michael Shawn Fletcher (Co-Convenor) Kathy Willis
(Co-Convenor)
Description of Session: Identifying the properties that underpin
ecosystem resilience and/or stability in response to climate change and
other disturbances is a global research priority, but the methods used
to quantify ecological resilience can vary depending on the study system
and context. Although there are a number of recent examples that have
mapped components of ecological resilience at global scales, these
ecological 'snapshots' are based on measurements documenting ecological
changes from timescales of years to decades. Whether the patterns
identified by such studies reflect fundamental properties of the
systems, or are a result of historical disturbance legacies remains
unknown. Thus, to fully understand the drivers and underlying dynamics
resulting in ecological resilience requires a historical perspective
that documents system dynamics covering timescales of centuries to
millennia.
This session is dedicated to papers focussed on ecological resilience
from long-term ecological records. We invite contributions which (i)
introduce new techniques to quantify and compare components of
resilience in long term ecological datasets; (ii) identify patterns (in
time/ space) of drivers (biotic, abiotic) of stability and resilience;
and (iii) test key assumptions and predictions of resilience theory
using long-term methods. We encourage papers from across a range of
biome types; from tropical to arctic, terrestrial to freshwater
ecosystems, using timescales from decades, centuries, and millennia,
including multi-proxy studies from individual sites to larger scale
syntheses. Papers which use a combination of model data-asssimlation
techniques and/or multi-proxy studies will be encouraged.
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