Uncertainty Enthusiasts,
Please consider submitting an abstract to the
following session at the 2016 Fall AGU meeting.
B065. Quantifying uncertainty in ecosystem
studies: Methods and applications
Uncertainty analysis is an emerging field in ecosystem
science and there is growing recognition that including uncertainty in
ecosystem studies is required for sound science. Uncertainty is essential for
determining the significance of observed differences and for analyzing trends
over time or making predictions. Recognizing which sources contribute the most
uncertainty can improve efficiency in ecosystem monitoring efforts, allowing
sampling designs to maximize information gained relative to the resources
expended. Despite the many benefits of uncertainty analysis, in ecosystem
studies it is not uncommon for uncertainties to be overlooked because of
difficulties in characterizing multiple sources of uncertainty and because of
the complexity of the calculations. This session will highlight methods and
applications of uncertainty analysis in observations, experiments, modeling,
and synthesis in ecosystem studies. The objective is to demonstrate how
estimates of uncertainty can add scientific rigor to analyses and improve the
interpretation of data for decision making.
Abstracts can be submitted to this session at https://agu.confex.com/agu/fm16/preliminaryview.cgi/Session13494
and are due by Aug. 3.
Session
ID: 13494
Section/Focus
Group: Biogeosciences (B)
Cross-Listed:
Hydrology (H)
The AGU meeting will be held 12-16 December 2016 in San
Francisco (http://fallmeeting.agu.org/2016/).
This session is being organized by QUEST (Quantifying Uncertainty in
Ecosystem Studies), a Research Coordination Network funded by the NSF.
Thank you,
Co-conveners:
John
Campbell (USFS)
Ruth Yanai
(SUNY-ESF)
