We invite abstracts for a symposium at the 2016 SSSA meeting November 6-9 in Phoenix, AZ. Quantifying uncertainty in studies of forests is important to establish the significance of findings, make predictions with known confidence, and guide investments in research and monitoring. This symposium will address sources of uncertainty in estimates of carbon and nutrients in forest soils, above- and belowground biomass, and ecosystem inputs and outputs.
Presentations may address any source of uncertainty in forest ecosystems, including spatial and temporal variation, measurement error, model uncertainty, and model selection error. Topics may include pools and turnover rates in soil, necromass, and living biomass. Presentations will also address how these uncertainties influence monitoring designs or affect management and policy decisions.
Abstract submissions will open March 15, and close June 7, with early submission deadline of May 24. https://www.acsmeetings.org/submit/oral.
Authors will be invited to submit papers to a special issue of SSSAJ. Papers not presented at the SSSA
meeting are also welcome to the SSSAJ special issue.
Please contact email@example.com.
We hope to see you in Phoenix!
Monday, March 14, 2016
Sunday, March 13, 2016
We are pleased to announce a partial special issue of CJFR titled: Quantifying uncertainty in forest measurements and models: Approaches and applications http://www.nrcresearchpress.com/toc/cjfr/46/3. There are five papers, most of which were presented in the QUEST sessions at the 2014 IUFRO world congress in Salt Lake City, along with an introduction by the session organizers.
Partial special issue: Quantifying uncertainty in forest measurements and models: approaches and applications / Numéro spécial partiel : Quantification de l’incertitude dans la modélisation et la Quantifying uncertainty in forest measurements and models: approaches and applications D. Paré, G.Z. Gertner, P.Y. Bernier, R.D. Yanai
Canadian Journal of Forest Research, 2016, 46(3): v, 10.1139/cjfr-2016-0029
Sources of variability in tissue chemistry in northern hardwood species
Yang Yang, Ruth D. Yanai, Farrah R. Fatemi, Carrie R. Levine, Paul J. Lilly, Russell D. Briggs
Canadian Journal of Forest Research, 2016, 46(3): 285-296, 10.1139/cjfr-2015-0302
Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
M. Christina, Y. Nouvellon, J.P. Laclau, J.L. Stape, O.C Campoe, G. le Maire
Canadian Journal of Forest Research, 2016, 46(3): 297-309, 10.1139/cjfr-2015-0173
Uncertainty of upland soil carbon sink estimate for Finland
Aleksi Lehtonen, Juha Heikkinen
Canadian Journal of Forest Research, 2016, 46(3): 310-322, 10.1139/cjfr-2015-0171
Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance
Elizabeth A. Freeman, Gretchen G. Moisen, John W. Coulston, Barry T. Wilson
Canadian Journal of Forest Research, 2016, 46(3): 323-339, 10.1139/cjfr-2014-0562
Evaluating the required scenario set size for stochastic programming in forest management planning: incorporating inventory and growth model uncertainty
Kyle Eyvindson, Annika Kangas
Canadian Journal of Forest Research, 2016, 46(3): 340-347, 10.1139/cjfr-2014-0513