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.
John Campbell (USFS)
Ruth Yanai (SUNY-ESF)