Tuesday, February 25, 2014

uncertaintly analysis in evaluating Long-Term Monitoring efforts, in print and open access

Read More:  Levine, C.R., R.D. Yanai, G.G. Lampman, D.A. Burns, C.T. Driscoll, G.B. Lawrence, J.A. Lynch, and N. Schoch. 2014.  Evaluating the efficiency of environmental monitoring programs. Ecological Indicators.   39: 94 – 101.  DOI: 10.1016/j.ecolind.2013.12.010 PDF  | HTMLIn Brief....
  • Uncertainty analyses can be used to improve the efficiency of environmental monitoring.
  • Evaluating monitoring data allows for detection of gaps and redundancies in monitoring programs.
  • Authors illustrate four methods of data analysis appropriate to four types of monitoring designs.
  • Authors demonstrate methods for optimizing efficiency and effectiveness of monitoring programs.

Tuesday, January 28, 2014

Call for Abstracts on Uncertainty: SAF and CIF Joint Meeting

http://www.xcdsystem.com/saf/site14/
This year the Society of American Foresters (SAF) and the Canadian Institute of Forestry (CIF) will hold their joint annual meeting in conjunction with the International Union of Forest Research Organizations (IUFRO) in Salt Lake City, UT. Two of the presentation themes for the conference are “embracing, and learning from, uncertainty” and “an engineering take on uncertainty: lessons for the forestry profession.” Descriptions of these two tracks are available here. This is an excellent opportunity for those working in forest systems to share their knowledge of uncertainty with a diverse group of scientists and managers

The SAF/CIF conference runs from October 8 – 11, and the deadline for abstract submissions is March 9. The IUFRO conference runs October 5-11; abstract submissions for these sessions are already closed. At IUFRO, QUEST will host a sub-plenary session, two technical sessions, many posters, and an evening discussion. Participants registered for either conference will be admitted to all sessions from October 9-11.

Uncertainty will be prominently featured at the largest forestry meeting of the decade!

Tuesday, November 12, 2013

Workshop: “Error propagation for carbon estimation”

December 4-6, 2013, Camino Real Aeropuerto Hotel, Mexico City.  

One objective of the workshop is to show and discuss the methodologies for the estimation of uncertainty and error propagation in different components that influence the estimation of emissions and removals of greenhouse gases in the forest sector. Also, it aims to share the experience of national and international experts on uncertainty and contextualize it within the importance that these methods have in creating national reports for the estimation of carbon stocks and their changes.

The workshop will be divided into five main sessions. The first will address errors in estimates of biomass inherent in allometric models. The second will highlight recent research concerning the estimation of uncertainties associated with Emission Factors (within a Tier 2 reporting framework). This second block will cover the calculation of uncertainties associated with measurement errors in forest inventories of important variables for the estimation of carbon. In addition, errors due to sample design and stratification schemes to minimize uncertainties from forest inventories will be reviewed.

The third session will explore issues related to the estimation of uncertainties for activity data. It will cover validation of land cover maps and land cover changes, estimation of uncertainties of the area estimates for activity data and methodologies for the estimation of uncertainties in carbon maps.

In the fourth session, participants will discuss error propagation of uncertainties for emission factors and activity data within a Tier 2 reporting framework. Finally, the fifth session will discuss how to estimate uncertainties in carbon dynamics models for a Tier 3 approach and discuss possible approaches for the estimation of uncertainties in an integrated Tier 2 and 3 approach.

Official website 

Sponsoring Organizations: Mexican National Forestry Commission, United Nations Development Programme, Government of Norway, Food and Agriculture Organization of the United Nations.