tag:blogger.com,1999:blog-3257003639281054522024-02-18T20:48:44.282-08:00QUEST NEWS QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.comBlogger45125tag:blogger.com,1999:blog-325700363928105452.post-16082223767569803332020-11-25T08:39:00.014-08:002020-11-30T07:18:21.925-08:00 First QUERCA paper just published in Environmental Research Letters<p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 12pt;"><span style="font-family: times;"><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">“Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts” by Ruth Yanai, Craig Wayson, Donna Lee, Andres Espejo, John Campbell, Mark Green, Jenna M. Zukswert, Shira Yoffe, Juliann Aukema, Andy Lister, Jim Kirchner, Javier Garcia Perez Gamarra. 2020. </span><span style="background-color: transparent; color: black; font-size: 11pt; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Environmental Research Letters</span><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, 15(12):4002 </span><a href="https://doi.org/10.1088/1748-9326/abb96f" style="text-decoration: none;"><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration-skip-ink: none; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">https://doi.org/10.1088/1748-9326/abb96f</span></a><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">. This is a product of QUEST and also of QUERCA.</span></span></p><div style="line-height: 1.38; margin-bottom: 12pt; margin-top: 12pt; text-align: left;"><span style="font-family: times;"><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">QUERCA (Quantifying Uncertainty Estimates and Risk in Carbon Accounting) was founded by Wayson, Yanai, Campbell and Green in 2019 to address the need to improve uncertainty calculations for country-level carbon accounting. Accounting for uncertainty is essential for assessing confidence in reductions of carbon emissions from deforestation and forest degradation (REDD+). Quantifying uncertainty requires technical expertise in error propagation, which is currently lacking, as shown by some countries reporting errors an order of magnitude smaller than the individual sources of error (see the </span><a href="https://doi.org/10.1088/1748-9326/abb96f" style="text-decoration: none;"><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration-skip-ink: none; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">paper</span></a><span style="background-color: transparent; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> just published). The reported uncertainty affects the payment a country can receive for reducing carbon emissions. </span></span></div><div style="text-align: left;"><span id="docs-internal-guid-585fb89d-7fff-a55d-8a14-d852e8bd4e86"><span style="font-family: times;"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">QUERCA is currently funded by the US Department of State and US Agency for International Development. </span><span style="font-size: 11pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">A survey is under development to assess the need for assistance in carbon accounting by countries participating in REDD+ programs. We will create peer-reviewed tools and approaches for error propagation that are well documented and easy to use by carbon accounting technicians and researchers. Future goals of QUERCA will include building capacity among the users by sharing these tools and approaches via meetings, code sharing, bibliographies, and direct collaboration with participating programs.</span></span></span></div>QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-54115645783621480512019-06-27T11:08:00.001-07:002019-06-27T11:08:49.456-07:00QUEST will have a session at AGU this year; please consider submitting an abstract by July 31.<blockquote class="" type="cite">
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<span class="" style="font-family: inherit;">The AGU Fall Meeting will take place December 9-13, 2019 in San Francisco.</span><span class="" style="font-family: inherit;"> </span><a class="" href="https://outlook.esf.edu/owa/redir.aspx?C=aSBpeG9p737-DOn4p7TdcqhjBB3dRihzFTKIXaNJSuX3lkZmKfvWCA..&URL=https%3a%2f%2fwww2.agu.org%2ffall-meeting" rel="noopener noreferrer" style="font-family: inherit;" target="_blank"><span style="font-size: small;">https://www2.agu.org/fall-meeting</span></a></div>
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<span class="" style="font-family: inherit;"><span class="">B064 - Improving Estimates of Ecosystem Carbon Storage</span></span></div>
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<span class="" style="font-family: inherit;"><span class=""><a class="" href="https://outlook.esf.edu/owa/redir.aspx?C=8CvkzQrTIlQRRie4kF0a8gleBbJnAgoe-RObDADQzOj3lkZmKfvWCA..&URL=https%3a%2f%2fagu.confex.com%2fagu%2ffm19%2fprelim.cgi%2fSession%2f75966" rel="noopener noreferrer" target="_blank">https://agu.confex.com/agu/fm19/prelim.cgi/Session/75966</a></span><span class=""></span></span></div>
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<span class="" style="font-family: inherit;"><span class="">Quantifying carbon storage in terrestrial ecosystems remains challenging despite the need for strategic management of the global carbon balance. Forest biomass and forest soils can be highly heterogeneous and difficult to measure. Urban trees have been characterized using allometry from closed forests, which may result in bias. In agricultural systems, understanding the impact of land use practices on soil carbon changes remains a major research need. Fortunately, new technologies are improving estimates of natural variability, thereby reducing uncertainty. For example, terrestrial LiDAR can provide detailed characterization of live and dead wood pools. At the same time, methods for characterizing uncertainty in estimates are improving. This session will highlight studies that are aimed at understanding the uncertainty in terrestrial carbon stocks, including quantifying spatial variability. It will also highlight novel data sets and quantitative methods used in these characterizations.</span></span></div>
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QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-67248719632418141922017-06-27T09:45:00.000-07:002017-06-27T09:45:32.220-07:00Announcing the Stochastic Uncertainty Estimator (SUE)
<u1:p class=""></u1:p><u1:p class=""></u1:p><br />
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<span style="font-family: "Calibri","sans-serif"; font-size: 11.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman";">Looking
for a way to start to explore uncertainty in a calculation or a
model? QUEST has launched an on-line tool for uncertainty
propagation! The Stochastic Uncertainty Estimator (SUE) is a program
developed by Mark E. Harmon and his colleagues in the early 2000's. With
funding from QUEST, Keith Olsen has created a web-based interface for SUE.
The following link allows you to download the software, create and run
files for your projects, and download the source code (<a href="http://uncertaintyestimator.org/" target="_blank"><span style="color: purple;">http://uncertaintyestimator.org/</span></a>). <span class="apple-converted-space"> </span><o:p></o:p></span></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com1tag:blogger.com,1999:blog-325700363928105452.post-81201702146712638252017-02-10T06:59:00.000-08:002017-02-22T09:04:42.003-08:00Two QUEST-sponsored uncertainty papers were published on Feb 6 and Feb 7:<div class="MsoNormal" style="line-height: normal; margin-left: .5in; text-indent: -.5in;">
Daly,
C., M.E. Slater, J.A. Roberti, S.H. Laseter, and L.W. Swift Jr. 2017.
High-resolution precipitation mapping in a mountainous watershed: ground truth
for evaluating uncertainty in a national precipitation dataset. International
Journal of Climatology, <a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.4986/full">DOI:
10.1002/joc.4986</a><o:p></o:p></div>
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At one time, Coweeta Hydrological Laboratory had over
100 precipitation collectors, which were used to inform interpolation of a
reduced monitoring scheme. These spatially intensive data made it
possible to test the predictions of the PRISM national-scale gridded
precipitation dataset and quantify sources of uncertainty.<o:p></o:p></div>
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Csavina, J., J.A.
Roberti, J.R. Taylor, adn H.W. Loescher. 2017. Traceable measurements and
calibration: a primer on uncertainty analysis. Ecosphere, 8(2) e01683, <a href="http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1683/full">DOI:
10.1002/ecs2.1683</a><br />
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This paper describes the approach used by NEON, the National
Ecological Observatory Network, to uncertainty analysis, and includes a
glossary of terms. Bone up on accuracy, precision, and trueness!<o:p></o:p></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-24620676606255878742016-11-07T09:17:00.000-08:002016-12-02T06:26:42.302-08:00QUEST at the AGU Fall Meeting, December 12-16, 2016 in San Francisco<div class="MsoNormal">
<span style="font-family: inherit;">The QUEST Session at American Geophysical
Union merged with three other proposed sessions to get a full day of
talks, <span style="font-size: 11.5pt;">Monday December 12, in Moscone West
2004.</span><u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">Quantifying
Uncertainties and Merging Observations, Experiments, and Models for Improving
Estimation, Mapping, and Forecasting of Terrestrial Ecosystem Dynamics I and II. Session: <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Session/15452">B11J</a> and <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Session/15457">B12C</a><o:p></o:p></span></div>
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<span style="font-family: inherit;"><span style="font-size: 11.5pt;">The first three talks and one
late morning talk were part of the original QUEST session:</span><u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">08:00 Why <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/163456">Quantify
Uncertainty in Ecosystem Studies: Obligation versus Discovery Tool?</a> Mark E.
Harmon, Oregon State University, Corvallis, OR, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">08:15
<a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/125688">High-Resolution
Precipitation Mapping in a Mountainous Watershed: Ground Truth for Evaluating
Uncertainty in a National Precipitation Dataset.</a> Christopher Daly1,
Melissa E. Slater2, Joshua A Roberti2, Stephanie H. Laseter3 and Lloyd W.
Swift3, (1)PRISM Climate Group, College of Engineering, Oregon State
University, Corvallis, OR, United States, (2)National Ecological Observatory
Network, Boulder, CO, United States, (3)Coweeta Hydrologic Laboratory, USDA
Forest Service, Otto, NC, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">08:30
<a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/177811">What if
the Hubbard Brook weirs had been built somewhere else?</a> Spatial uncertainty
in the application of catchment budgets. Scott W Bailey, US Forest
Service Durham, Durham, NH, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">12:05
<a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/194678">From
Small Forest Inventory Plots to Regional Biomass Estimates: Dealing with
Uncertainty from Inventory Sampling by Focusing on Trees Instead of Biomass.</a>
Bradley Tomasek1, Erin M Schliep2, Alan E. Gelfand1 and James S Clark1, (1)Duke
University, Durham, NC, United States, (2)University of Missouri Columbia,
Columbia, MO, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;"><span style="font-size: 11.5pt;">The following <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Session/15033">presentations are posters</a>, please visit them <span style="color: #1f497d;">in Moscone South
from 1:40 to 6:00. </span></span><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0664 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/186153">Benchmarking
Terrestrial Ecosystem Models in the South Central US</a>.<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">Manoj Kc1,2, Kim Winton3, Michael A Langston3 and Yiqi Luo1,
(1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)New
Mexico Institute of Mining and Technology, Dept. Earth & Environmental
Science, Hydrology Program,, Socorro, NM, United States, (3)USGS South Central
Climate Science Center, Norman, OK, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0666 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/193783">How to Avoid
Errors in Error Propagation: Prediction Intervals and Confidence Intervals in
Forest Biomass.</a> Paul Lilly1, Ruth D. Yanai2, Hannah L Buckley3,
Bradley S Case3, Richard C Woollons4, Robert J Holdaway5 and James Johnson6,
(1)Spatial Informatics Group, LLC, Alameda, CA, United States, (2)SUNY College
of Environmental Science and Forestry, Syracuse, NY, United States, (3)Lincoln
University, Lincoln, New Zealand, (4)University of Canterbury, Christchurch,
New Zealand, (5)Landcare Research NZ, Lincoln, New Zealand, (6)University
College Dublin, Dublin, Ireland<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;"><span style="color: #1f497d;">B13E-0667 </span><a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/199071">Quantifying
uncertainty in carbon and nutrient pools of coarse woody debris.</a><span style="color: #1f497d;"> Craig Robert See, University of Minnesota,
Minneapolis, MN, United States, John L Campbell, USDA Forest Service, Northern
Research Station, Vallejo, CA, United States, Shawn Fraver, University of
Maine, School of Forest Resources, Orono, ME, United States, Grant M Domke, US
Forest Service St. Paul, St. Paul, MN, United States, Mark E. Harmon, Oregon
State University, Corvallis, OR, United States, Jennifer D Knoepp, Coweeta
Hydrologic Laboratory, U.S. Forest Service, Otto, NC, United States and
Christopher W Woodall, US Forest Service Durham, Northern Research Station,
Durham, NH, United States<u5:p></u5:p></span><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0668 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/170517">Uncertainty
Propagation in Predictions of Hydraulic Parameters Based on the Pedotransfer
Functions</a>. Boris Faybishenko, Tetsu K Tokunaga, Yongman Kim and Deb
Agarwal, Lawrence Berkeley National Laboratory, Berkeley, CA, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0669 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/150425">Uncertainty
in a certain world: standardized approach to evaluating uncertainty in
measurement results</a>. Janae Lynn Csavina and Joshua A Roberti, National
Ecological Observatory Network, Boulder, CO, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0670 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/177640">Sources of
variability in tissue chemistry in northern hardwood species</a>. Yang Yang1,
Ruth D. Yanai2, Farrah Roxanne Fatemi3, Carrie R Levine4, Paul Lilly5 and
Russell Briggs2, (1)State University of New York Environmental Science and
Forestry, Environmental Science, Syracuse, NY, United States, (2)SUNY College
of Environmental Science and Forestry, Syracuse, NY, United States, (3)St.
Michael’s College, Colchester, VA, United States, (4)University of California
Berkeley, Berkeley, CA, United States, (5)Spatial Informatics Group, LLC,
Alameda, CA, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0671<a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/127800"> Interannual
variability, correlated errors, and trend detection of evapotranspiration at
AmeriFlux sites</a>. Angela Jean Rigden and Guido Salvucci, Boston
University, Earth and Environment, Boston, MA, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0672 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/147476">‘spup’ – An
R Package for Analysis of Spatial Uncertainty Propagation and Application to
Trace Gas Emission Simulations</a>. Kasia Sawicka1, Lutz Breuer2, Tobias
Houska2, Ignacio Santabarbara Ruiz3 and Gerard B.M. Heuvelink1, (1)Wageningen
University, Soil Geography and Landscape group, Wageningen, Netherlands,
(2)Justus Liebig University Giessen, Institute for Landscape Ecology and
Resources Management, Giessen, Germany, (3)Karlsruhe Institute of Technology,
Institute of Meteorology and Climate Research, Karlsruhe, Germany<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0673 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/165800">Evaluating
Random Error of Long-term, Multi-plot Flux Gradient Measurements of
Agricultural Greenhouse Gas Emissions</a>. Shannon E Brown1, Claudia
Wagner-Riddle1 and Muhammad Firdaus Sulaiman2, (1)University of Guelph, School
of Environmental Sciences, Guelph, ON, Canada, (2)University of Guelph, Guelph,
ON, Canada<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0674 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/183996">Uncertainties
in detecting decadal change in extractable soil elements in Northern Forests</a>.<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">Olivia Bartlett, University of New Hampshire Main Campus,
Durham, NH, United States, Scott W Bailey, US Forest Service Durham, Durham,
NH, United States and Mark J Ducey, University of New Hampshire (UNH),
Department of Natural Resources & Environment, Durham, NH, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0675 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/186735">A geospatial
framework for improving the vertical accuracy of elevation models in Florida’s
coastal Everglades</a>. Hannah Cooper1, Caiyun Zhang1 and Matthew
Sirianni2, (1)Florida Atlantic University, Boca Raton, FL, United States,
(2)Florida Atlantic University, Geosciences, Davie, FL, United States<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0676 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/123572">Quantifying
the impact of the longitudinal dispersion coefficient parameter uncertainty on
the physical transport processes in rivers</a>. Vivian Veronica Camacho
Suarez, James Shucksmith and Alma Schellart, University of Sheffield,
Sheffield, United Kingdom<u5:p></u5:p><o:p></o:p></span></div>
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<span style="font-family: inherit;">B13E-0677 <a href="https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/195895">Forested
hillslope water budget uncertainty: understanding the pathway from
precipitation to biota to stream discharge</a>. Heather Nicole Speckman1,
Daniel Beverly2, Jason Mercer2, Suman Chitrakar3, Drew Thayer3, Bradley Carr4,
Andrew Parsekian5 and Brent E Ewers2, (1)University of Wyoming, WyCEHG,
Laramie, WY, United States, (2)University of Wyoming, Botany, Laramie, WY,
United States, (3)University of Wyoming, Laramie, WY, United States,
(4)University of Wyoming, Department of Geology and Geophysics, Laramie, WY,
United States, (5)University of Wyoming, Geology, Laramie, WY, United States</span><u5:p></u5:p><o:p></o:p></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-82832674038828566852016-11-04T09:00:00.002-07:002016-11-04T09:00:47.018-07:00Uncertainty Workshop at the ILTER OSM<div class="MsoNormal">
QUEST sponsored an Uncertainty Workshop at the ILTER Open
Science Meeting in South Africa October 9-13.
The workshop consisted of four modules:
(1) Measurement Uncertainty, presented by Hank W. Loescher and Janae L.
Csavina; (2) Experimental Design for Long-Term Monitoring, presented by
Christina L. Staudhammer; (3) Monte
Carlo Error Propagation, presented by Oswaldo Carrillo and Ruth D. Yanai; and
(4) Uncertainty quantification: analysis of NEON and other biodiversity network
data with hierarchical Bayes, presented by James S. Clark. The workshop was well received by the 66
delegates who attended. More
information, including the materials for each of the modules, can be found <a href="http://quantifyinguncertainty.org/workshop.htm">here</a>.<o:p></o:p></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-13224212466033984652016-09-02T10:40:00.000-07:002016-09-02T10:45:24.680-07:00SSSAJ Special Issue: Quantifying Uncertainty in Forest Ecosystem Studies<div style="margin-bottom: .0001pt; margin: 0in;">
<span style="font-family: inherit;">We are now accepting contributions
to a special issue of Soil Science Society of America Journal <span style="color: #1f497d;">called "Quantifying Uncertainty in Forest Ecosystem Studies." </span><o:p></o:p></span></div>
<div style="margin: 0in 0in 0.0001pt;">
<span style="font-family: inherit;"><br />
</span></div>
<span style="font-family: inherit;"><span style="background: white; color: #333333;">Papers 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. Papers that address how
these uncertainties influence monitoring designs or affect management and
policy decisions are also welcome. </span></span><br />
<span style="font-family: inherit;"><span style="color: #333333;"><br /></span>
Submit your paper through<span class="apple-converted-space"> </span><a href="https://mc.manuscriptcentral.com/sssaj">Manuscript Central</a>.
Select Quantifying Uncertainty in Forest Ecosystem Studies in the menu
for the type of submission.</span><br />
<br />
<br />
<div style="margin: 0in 0in 0.0001pt;">
<span style="font-family: inherit , serif; font-size: 13.5pt;"><span style="font-family: inherit;"><br /></span></span></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com1tag:blogger.com,1999:blog-325700363928105452.post-72047392433515981252016-06-27T08:45:00.000-07:002016-06-27T08:45:19.015-07:00Uncertainty Analysis, 2016 Fall AGU Meeting: Abstracts due by Aug 3<div class="MsoNormal">
Uncertainty Enthusiasts,<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Please consider submitting an abstract to the
following session at the 2016 Fall AGU meeting.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
B065. Quantifying uncertainty in ecosystem
studies: Methods and applications</div>
<div class="MsoNormal">
<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
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.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Abstracts can be submitted to this session at <a href="https://agu.confex.com/agu/fm16/preliminaryview.cgi/Session13494">https://agu.confex.com/agu/fm16/preliminaryview.cgi/Session13494</a>
and are due by Aug. 3.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Session
ID: 13494</div>
<div class="MsoNormal">
Section/Focus
Group: Biogeosciences (B)</div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in;">
<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in;">
Cross-Listed:
Hydrology (H)<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The AGU meeting will be held 12-16 December 2016 in San
Francisco (<a href="http://fallmeeting.agu.org/2016/">http://fallmeeting.agu.org/2016/</a>).
This session is being organized by QUEST (<a href="http://www.quantifyinguncertainty.org/">Quantifying Uncertainty in
Ecosystem Studies</a>), a Research Coordination Network funded by the NSF.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Thank you,<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in;">
Co-conveners:<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in;">
John
Campbell (USFS)<o:p></o:p></div>
<br />
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in;">
Ruth Yanai
(SUNY-ESF)<o:p></o:p></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-74265862813031498642016-03-14T10:15:00.002-07:002017-02-22T09:05:24.292-08:00SSSA 2016 Symposium and Special Issue: Quantifying Uncertainty in Forest Ecosystem Studies<span style="font-family: "times new roman" , "serif"; font-size: 12.0pt;">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. </span><br />
<br />
<span style="white-space: pre-wrap;">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. </span><br />
<span style="white-space: pre-wrap;">
</span><span style="white-space: pre-wrap;">Abstract submissions will open March 15, and close June 7, with early submission deadline of May 24. <a href="https://www.acsmeetings.org/submit/oral">https://www.acsmeetings.org/submit/oral</a>.
</span><br />
<span style="white-space: pre-wrap;">
</span><span style="white-space: pre-wrap;">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.</span><br />
<span style="white-space: pre-wrap;">
</span><span style="white-space: pre-wrap;">Please contact <a href="mailto:quantifyinguncertainty@gmail.com">quantifyinguncertainty@gmail.com</a>.</span><br />
<span style="white-space: pre-wrap;">
</span><span style="white-space: pre-wrap;">We hope to see you in Phoenix!</span><br />
<!--[if !supportLineBreakNewLine]--><br />
<!--[endif]--><span style="white-space: pre-wrap;"></span><span style="white-space: pre-wrap;"></span>QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-10889715185656308432016-03-13T21:53:00.002-07:002016-03-13T21:53:54.975-07:00CJFR Special Issue now complete and available Open Access<div dir="ltr" id="docs-internal-guid-d4eddca2-7377-2eaf-e9d5-038131135d7f" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;">
<span style="background-color: transparent; color: #333333; font-family: Arial; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">We are pleased to announce a partial special issue of CJFR titled: </span><span style="background-color: transparent; color: #333333; font-family: Arial; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Quantifying uncertainty in forest measurements and models: Approaches and applications</span><a href="http://www.nrcresearchpress.com/toc/cjfr/46/3" style="text-decoration: none;"><span style="background-color: transparent; color: #333333; font-family: Arial; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: transparent; color: #1155cc; font-family: 'Times New Roman'; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">http://www.nrcresearchpress.com/toc/cjfr/46/3</span></a><span style="background-color: transparent; color: #333333; font-family: Arial; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">. 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.</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;">
<span style="background-color: #333333; color: white; font-family: 'Times New Roman'; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Title page</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: 'Times New Roman'; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">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 </span><span style="background-color: #f2f2f2; color: #666666; font-family: 'Times New Roman'; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">D. Paré, G.Z. Gertner, P.Y. Bernier, R.D. Yanai</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 12pt; margin-top: 0pt;">
<a href="http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2016-0029" style="text-decoration: none;"><span style="background-color: #f2f2f2; color: #be1e2e; font-family: 'Times New Roman'; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">» Citation</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: black; font-family: 'Times New Roman'; font-size: 12px; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Canadian Journal of Forest Research</span><span style="background-color: #f2f2f2; color: black; font-family: 'Times New Roman'; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, 2016, 46(3): v, 10.1139/cjfr-2016-0029</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 40pt; margin-right: 29pt; margin-top: 0pt;">
<span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2016-0029" style="text-decoration: none;"><span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Full Text</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 40pt; margin-right: 29pt; margin-top: 0pt;">
<span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> ·</span><span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfr-2016-0029" style="text-decoration: none;"><span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF (347 K)</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 40pt; margin-right: 29pt; margin-top: 0pt;">
<span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdfplus/10.1139/cjfr-2016-0029" style="text-decoration: none;"><span style="background-color: #dddddd; color: black; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF Plus (348 K)</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;">
<span style="background-color: #333333; color: white; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Articles</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Sources of variability in tissue chemistry in northern hardwood species</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Yang Yang, Ruth D. Yanai, Farrah R. Fatemi, Carrie R. Levine, Paul J. Lilly, Russell D. Briggs</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 12pt; margin-top: 0pt;">
<a href="http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2015-0302" style="text-decoration: none;"><span style="background-color: #f2f2f2; color: #be1e2e; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">» Abstract</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Canadian Journal of Forest Research</span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, 2016, 46(3): 285-296, 10.1139/cjfr-2015-0302</span></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2015-0302" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Full Text</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 40pt; margin-right: 29pt; margin-top: 0pt;">
<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfr-2015-0302" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF (1905 K)</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 40pt; margin-right: 29pt; margin-top: 0pt;">
<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdfplus/10.1139/cjfr-2015-0302" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF Plus (554 K)</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in </span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: italic; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Eucalyptus</span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;"> plantations using a metamodeling approach</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">M. Christina, Y. Nouvellon, J.P. Laclau, J.L. Stape, O.C Campoe, G. le Maire</span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 12pt; margin-top: 0pt;">
<a href="http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2015-0173" style="text-decoration: none;"><span style="background-color: #f2f2f2; color: #be1e2e; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">» Abstract</span></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 4pt; margin-top: 0pt;">
<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Canadian Journal of Forest Research</span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, 2016, 46(3): 297-309, 10.1139/cjfr-2015-0173</span></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2015-0173" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Full Text</span></a></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfr-2015-0173" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF (2636 K)</span></a></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/suppl/10.1139/cjfr-2015-0173" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Supplementary data</span></a></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Uncertainty of upland soil carbon sink estimate for Finland</span></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Aleksi Lehtonen, Juha Heikkinen</span></div>
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<a href="http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2015-0171" style="text-decoration: none;"><span style="background-color: #f2f2f2; color: #be1e2e; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">» Abstract</span></a></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Canadian Journal of Forest Research</span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, 2016, 46(3): 310-322, 10.1139/cjfr-2015-0171</span></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2015-0171" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Full Text</span></a></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfr-2015-0171" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF (347 K)</span></a></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/suppl/10.1139/cjfr-2015-0171" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Supplementary data</span></a></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance</span></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Elizabeth A. Freeman, Gretchen G. Moisen, John W. Coulston, Barry T. Wilson</span></div>
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<a href="http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2014-0562" style="text-decoration: none;"><span style="background-color: #f2f2f2; color: #be1e2e; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">» Abstract</span></a></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Canadian Journal of Forest Research</span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, 2016, 46(3): 323-339, 10.1139/cjfr-2014-0562</span></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfr-2014-0562" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">PDF (8129 K)</span></a></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Evaluating the required scenario set size for stochastic programming in forest management planning: incorporating inventory and growth model uncertainty</span></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Kyle Eyvindson, Annika Kangas</span></div>
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<a href="http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2014-0513" style="text-decoration: none;"><span style="background-color: #f2f2f2; color: #be1e2e; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">» Abstract</span></a></div>
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<span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Canadian Journal of Forest Research</span><span style="background-color: #f2f2f2; color: #333333; font-family: Arial; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, 2016, 46(3): 340-347, 10.1139/cjfr-2014-0513</span></div>
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<span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">·</span><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><a href="http://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2014-0513" style="text-decoration: none;"><span style="background-color: #dddddd; color: #333333; font-family: 'Times New Roman'; font-size: 9.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span><span style="background-color: #dddddd; color: #333333; font-family: Arial; font-size: 11.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline;">Full Text</span></a></div>
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QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-51357612989919557072015-10-26T06:27:00.002-07:002015-10-26T06:27:56.569-07:00TAKE OUR SURVEY!!<div class="x_MsoNormal">
<span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">Greetings uncertainty enthusiasts,</span></div>
<br />
<div class="x_MsoNormal">
<span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">
</span><span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">As part of the QUEST
workshop at this summer’s LTER All Scientists Meeting, we developed a
brief survey to assess practices in reporting uncertainty in
precipitation, streamflow, biomass, and soils. We are extending it to
all researchers working in these areas. All four sections need not be
filled out by the same individual. <br />
</span></div>
<span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">
</span><span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">The survey can be taken here: </span><a href="https://www.surveymonkey.com/r/EcosytemUncertainty" target="_blank"><span style="background: white; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;"><span style="color: #0066cc;">https://www.surveymonkey.com/</span><span style="color: #0066cc;">r/EcosytemUncertainty</span></span></a><br />
<br />
<div class="x_MsoNormal">
<span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">We’re asking that respondents complete the survey within two weeks. Each section takes an estimated 5-10 minutes.<span> </span>Please feel free to pass this on to other researchers at your site or at other sites.</span></div>
<br />
<div class="x_MsoNormal">
<span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">
</span><span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">To
express our appreciation, one respondent will be randomly selected to
receive QUEST support of a publication that reports uncertainty, in the
form of payment for Open Access publication.<span> <br />
</span></span></div>
<span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;"><span>
</span></span><span style="background: white; color: black; font-family: "Arial","sans-serif"; font-size: 12pt; line-height: 115%;">We plan to report the results in a review article on uncertainty analysis.</span>QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-59875888622890032732015-09-13T08:28:00.001-07:002015-09-13T08:28:39.193-07:00QUEST Workshop at the LTER All Scientists Meeting a Success
<br />
<div class="MsoNormal" style="margin: 0in 0in 8pt;">
<span style="font-family: Calibri;">Last week QUEST held a working group at the LTER ASM in
Estes Park, CO, titled “Sources of Uncertainty in Ecosystem Monitoring.”<span style="mso-spacerun: yes;"> </span>The first hour of the working group consisted
of six brief presentations on different aspects of uncertainty in ecosystem
monitoring, each followed by a similar lightning round discussion. The second
hour consisted of a longer group discussion, and at the end participants were invited
to take a survey on how they deal with uncertainty in their own research. We
received positive feedback from many participants, and plan to use the results
of the survey as part of a review article on current practices for uncertainty
in ecosystem ecology.<o:p></o:p></span></div>
<br />
<div class="MsoNormal" style="margin: 0in 0in 8pt;">
<span style="font-family: Calibri;">List of presenters:<o:p></o:p></span></div>
<br />
<div class="MsoListParagraphCxSpFirst" style="margin: 0in 0in 0pt 0.5in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><span style="font-family: Calibri;">Ruth Yanai (SUNY-ESF): A brief history of QUEST;
Uncertainty in the Hubbard Brook nitrogen budget<o:p></o:p></span></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="margin: 0in 0in 0pt 0.5in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><span style="font-family: Calibri;">Craig See (University of Georgia): Gaps: why
they occur, and what we can do about them.<o:p></o:p></span></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="margin: 0in 0in 0pt 0.5in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><span style="font-family: Calibri;">John Campbell (USFS): Uncertainty in the net
hydrologic flux of calcium in a paired-watershed harvesting study.<o:p></o:p></span></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="margin: 0in 0in 0pt 0.5in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><span style="font-family: Calibri;">Josh Roberti (NEON): Connecting uncertainty estimates
and QA/QC methods.<o:p></o:p></span></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="margin: 0in 0in 0pt 0.5in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><span style="font-family: Calibri;">Melissa Slater (NEON): Examining spatial
patterns of precipitation in complex terrain.<o:p></o:p></span></div>
<br />
<div class="MsoListParagraphCxSpLast" style="margin: 0in 0in 0pt 0.5in; mso-add-space: auto; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><span style="font-family: Calibri;">Carrie Levine (UC Berkeley): Using Bayesian
hierarchical models to estimate forest demographic processes.<o:p></o:p></span></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-36243630776685864692015-01-26T07:34:00.002-08:002015-01-26T07:36:39.744-08:00QUEST Special Issue of Canadian Journal of Forest Research<div class="MsoNormal">
<a href="http://www.nrcresearchpress.com/na101/home/literatum/publisher/nrc/journals/covergifs/cjfr/cover.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://www.nrcresearchpress.com/na101/home/literatum/publisher/nrc/journals/covergifs/cjfr/cover.jpg" /></a><br />
<div class="MsoNormal">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="line-height: 107%;">We are
pleased to announce a special issue of CJFR titled: </span><b><span lang="EN-CA" style="line-height: 107%;">Quantifying
uncertainty in forest measurements and models: Approaches and applications</span></b><span lang="EN-CA" style="line-height: 107%;">. Many of the papers in this issue will be based on
the research presented in the QUEST sessions at the 2014 IUFRO world congress in Salt Lake City, but we
encourage the submission of any relevant papers.</span></span></div>
<span lang="EN-CA"><span style="font-family: Arial, Helvetica, sans-serif;"><br /></span></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><span lang="EN-CA">The deadline
for submissions is <span class="aqj"><b>April 15, 2015</b></span>. The
Online First technology allows for immediate online publication after
acceptance, so the paper can be cited before the issue appears in print (Fall
2015).</span><o:p></o:p></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span lang="EN-CA"><br /></span></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><span lang="EN-CA">CJFR is
published by NRC Research Press, a non for profit organization. Instruction for
Authors can be found at: </span><a href="http://www.nrcresearchpress.com/page/cjfr/authors" target="_blank"><span lang="EN-CA">http://www.nrcresearchpress.com/page/cjfr/authors</span></a><span lang="EN-CA"><o:p></o:p></span></span><br />
<span lang="EN-CA" style="line-height: 107%;"><span style="font-family: Arial, Helvetica, sans-serif;"><br /></span></span>
<span lang="EN-CA" style="line-height: 107%;"><span style="font-family: Arial, Helvetica, sans-serif;">During submission you will be asked if the paper
is for a special issue. Please respond yes, and when prompted by Scholar One, provide
the issue name “Quantifying uncertainty in forest measurements and models:
Approaches and applications”. Please also mention the special issue in
your cover letter. </span></span></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-6065409315450006882014-10-07T08:30:00.002-07:002014-10-07T08:38:49.639-07:00IUFRO 2014 Now in Session! <div class="MsoNormal">
<a href="http://iufro2014.com/scientific-program/overview/" rel="nofollow" target="_blank"><img border="0" src="http://iufro2014.com/wp-content/uploads/2012/06/scientific_program_banner.jpg" height="84" width="320" /></a><span style="font-family: inherit;"><span style="line-height: 115%;">This week, Salt Lake City, Utah, hosts the world's largest forest research conference with the co-located 24th IUFRO World Congress and joint annual conventions of the Society of American Foresters (SAF) and the Canadian Institute of Forestry/</span></span>Canadian Institute of Forestry/l’Institut forestier du Canada (CIF/IFC).</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="font-family: inherit;"><span style="line-height: 115%;">Please
visit QUEST’s subplenary session today,</span><span style="line-height: 115%;"> </span><span style="line-height: 115%;">1:30- 3 pm, </span><i style="line-height: 115%;"><b>SP-07 The Importance of quantifying
uncertainty in managing forests</b></i><span style="line-height: 115%;"> </span><span style="line-height: 115%;">in 251 A-C; </span></span><span style="line-height: 18.3999996185303px;">our </span><i style="line-height: 18.3999996185303px;"><span style="background: white; color: #292f33;"><b>Side Event: Practical Issues in Implementing Uncertainty</b></span></i><span style="background: white; color: #292f33; line-height: 18.3999996185303px;"><b> <i>Analysis</i></b>, Thurs 7-9 pm, in Room 150D;</span><span style="font-family: inherit;"><span style="line-height: 115%;"> and the technical sessions</span></span><span style="font-family: inherit; line-height: 115%;"> <b>C-12 Quantifying Uncertainty in
Forest Measurements and Models:
Approaches and Applications</b>, this </span><span style="background: white; font-family: inherit; line-height: 115%;">Friday, October 10, 2014</span><span style="font-family: inherit; line-height: 115%;">, 8-10:30 in 250 F, and continuing 3:30-6
pm, again in 250F.</span></div>
<div class="MsoNormal">
<span style="line-height: 115%;"><span style="font-family: inherit;"><br /></span></span></div>
<div class="MsoNormal">
Many of these IUFRO talks will be later published in a special issue of the Canadian Journal of Forest Research. Space permitting, the editors can consider additional manuscripts. Stay tuned for submission information.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="line-height: 115%;"><span style="font-family: inherit;">Meanwhile, our neighbors at the SAF/</span></span>CIF/IFC <span style="font-family: inherit; line-height: 115%;">Convention offer these related tracks: </span></div>
<div class="MsoNormal">
</div>
<ul>
<li><span style="font-family: inherit;"><i style="line-height: 13.5pt;"><span style="border: 1pt none windowtext; padding: 0in;"><a href="http://www.xcdsystem.com/saf/site14/track-descriptions#engineering"><span style="color: #3d85c6;">An Engineering
Take on Uncertainty: Lessons for the Forestry Profession</span></a> </span></i><span style="border: 1pt none windowtext; line-height: 13.5pt; padding: 0in;"> </span><span style="line-height: 13.5pt;">Thurs., October 9, 1:30-
3 PM and </span><span style="background: white; line-height: 13.5pt;">4 - 5:30 PM</span><span style="line-height: 13.5pt;"> in 355 D</span></span></li>
<li><span style="font-family: inherit;"><span style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; line-height: 13.5pt; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.xcdsystem.com/saf/site14/track-descriptions#uncertainty" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><span style="color: #3d85c6;"><i>Embracing, and Learning from, Uncertainty</i></span></a></span><i style="line-height: 13.5pt;">,</i><span style="line-height: 13.5pt;"> </span><span style="line-height: 13.5pt;">Thurs., October 9, 2014, 1:30 PM - 3:00 PM and 4-6 pm, in
255E, and </span><strong style="line-height: 13.5pt;"><span style="background: white; border: 1pt none windowtext; color: #1c1c1c; font-weight: normal; padding: 0in;">Saturday, Oct
11, 10:30-12, in 255D.</span></strong></span></li>
</ul>
<div>
<span style="color: #1c1c1c;"><span style="line-height: 18px;">To help navigate the meetings, use the <a href="https://itunes.apple.com/us/app/saf-2014/id920684286?mt=8" target="_blank">SAF2014</a> and/or <a href="https://itunes.apple.com/us/app/iufro-2014/id906478699?mt=8" target="_blank">IUFRO2014</a> apps. If you would like to stay in the loop regarding that special CJFR issue, ask us about <a href="mailto:quantifyinguncertainty@gmail.com" rel="nofollow" target="_blank">the QUEST mailing list</a>. </span></span></div>
<br />
<div class="MsoNormal">
<br /></div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0Salt Lake City, UT, USA40.7607793 -111.8910473999999940.568390300000004 -112.21377089999999 40.9531683 -111.5683239tag:blogger.com,1999:blog-325700363928105452.post-90669169798610706382014-08-29T07:08:00.000-07:002014-09-23T11:29:52.107-07:00Early View! Sources of uncertainty in estimating stream solute export from three headwater catchments<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLEhlQmuCmmkWMkHRlhToc-tq_NntL1iilLxuAnTZyr_ykADgXX_d8DIkZ76yGb3DWZzPDoj9hS4Y6PpPDqHRBOCu-Mlvn5dOoOWRNrY7MC1vpWlOQAe-qhDIwx-d-Uvr9mlrjrdRESr5N/s1600/Figure+3.tif" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLEhlQmuCmmkWMkHRlhToc-tq_NntL1iilLxuAnTZyr_ykADgXX_d8DIkZ76yGb3DWZzPDoj9hS4Y6PpPDqHRBOCu-Mlvn5dOoOWRNrY7MC1vpWlOQAe-qhDIwx-d-Uvr9mlrjrdRESr5N/s1600/Figure+3.tif" height="200" width="320" /></a></div>
Yanai, R.D., N. Tokuchi, J.L. Campbell, M.B. Green, E. Matsuzaki, S.N. Laseter, C.L. Brown, A.S. Bailey, P. Lyons, C.R. Levine, D.C. Buso, G.E. Likens, J. Knoepp, K. Fukushima. 2014. <a href="http://onlinelibrary.wiley.com/doi/10.1002/hyp.10265/abstract">Hydrological Processes</a>. <br />
<br />
Uncertainty in the estimation of hydrologic export of solutes has never been fully evaluated at the scale of a small-watershed ecosystem. We used data from the Gomadansan Experimental Forest, Japan, Hubbard Brook Experimental Forest, USA, and Coweeta Hydrologic Laboratory, USA, to evaluate many sources of uncertainty, including the precision and accuracy of measurements, selection of models, and spatial and temporal variation. Uncertainty in the analysis of stream chemistry samples was generally small but could be large in relative terms for solutes near detection limits, as is common for ammonium and phosphate in forested catchments. Instantaneous flow deviated from the theoretical curve relating height to discharge by up to 10% at Hubbard Brook, but the resulting corrections to the theoretical curve generally amounted to <0.5% of annual flows. Calibrations were limited to low flows; uncertainties at high flows were not evaluated because of the difficulties in performing calibrations during events. However, high flows likely contribute more uncertainty to annual flows because of the greater volume of water that is exported during these events. Uncertainty in catchment area was as much as 5%, based on a comparison of digital elevation maps with ground surveys. Three different interpolation methods are used at the three sites to combine periodic chemistry samples with streamflow to calculate fluxes. The three methods differed by <5% in annual export calculations for calcium, but up to 12% for nitrate exports, when applied to a stream at Hubbard Brook for 1997–2008; nitrate has higher weekly variation at this site. Natural variation was larger than most other sources of uncertainty. Specifically, coefficients of variation across streams or across years, within site, for runoff and weighted annual concentrations of calcium, magnesium, potassium, sodium, sulphate, chloride, and silicate ranged from 5 to 50% and were even higher for nitrate. Uncertainty analysis can be used to guide efforts to improve confidence in estimated stream fluxes and also to optimize design of monitoring programs.<br />
<br />
This work is supported by the National Science Foundation (NSF) and the NSF Long-Term Ecological Research (LTER) Network Office. Many of the ideas implemented in this paper were developed in a meeting of a QUEST Working Group in March 2011. In June 2011, the Japanese Society for the Promotion of Science (JSPS) awarded a fellowship to Ruth Yanai, hosted by Naoko Tokuchi, to work on this project. The research at Gomadansan is supported by the staff of the Wakayama Experimental Forest of Kyoto University. The Hubbard Brook Experimental Forest is operated by the US Forest Service and the Hubbard Brook Research Foundation, and it forms part of the NSF LTER site network. Research at Coweeta Hydrologic Laboratory was funded by the US Forest Service, Department of Agriculture, Southern Research Station, and the NSF LTER (DEB-9632854 and DEB-0218001). Chemistry data for HBEF were obtained through funding from The A.W. Mellon Foundation and the NSF, including the LTER and LTREB programs. QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-42835646533902564502014-08-21T12:10:00.000-07:002014-09-23T11:28:29.995-07:00Early View and Open Access! A climate of uncertainty: accounting for error in climate variables for species distribution models<a href="http://api.onlinelibrary.wiley.com/asset/v1/doi/10.1111%2F2041-210X.12217/asset/image_n%2Fmee312217-fig-0002.png?l=j6%2BNsqLlmq%2FcY87rx2vAwSwVXWCrN6E1V8RNiasg89%2FNNIAWBgrG5jQorQlRHxMLcq%2FWBTWPChtC%0AVXZS7gywww%3D%3D&o=adea34dc-1387-4e77-ac7a-012c64032d5f" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="http://api.onlinelibrary.wiley.com/asset/v1/doi/10.1111%2F2041-210X.12217/asset/image_n%2Fmee312217-fig-0002.png?l=j6%2BNsqLlmq%2FcY87rx2vAwSwVXWCrN6E1V8RNiasg89%2FNNIAWBgrG5jQorQlRHxMLcq%2FWBTWPChtC%0AVXZS7gywww%3D%3D&o=adea34dc-1387-4e77-ac7a-012c64032d5f" height="199" width="320" /></a>Stoklosa, J., Daly, C., Foster, S. D., Ashcroft, M. B., Warton, D. I.
(2014), A climate of uncertainty:<br />
accounting for error in climate
variables for species distribution models. Methods in Ecology and
Evolution. <a href="http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12217/abstract" target="_blank">doi: 10.1111/2041-210X.12217</a><br />
<div id="fulltext">
<div>
<div id="abstract">
<h4>
The authors summarize:</h4>
<div class="para">
<ol class="numbered" id="mee312217-list-0001">
</ol>
<ol>
<li>Spatial
climate variables are routinely used in species distribution models
(SDMs) without accounting for the fact that they have been predicted
with uncertainty, which can lead to biased estimates, erroneous
inference and poor performances when predicting to new settings – for
example under climate change scenarios.</li>
<li>We show how information
on uncertainty associated with spatial climate variables can be obtained
from climate data models. We then explain different types of
uncertainty (i.e. classical and Berkson error) and use two statistical
methods that incorporate uncertainty in climate variables into SDMs by
means of (i) hierarchical modelling and (ii) simulation–extrapolation.</li>
<li>We
used simulation to study the consequences of failure to account for
measurement error. When uncertainty in explanatory variables was not
accounted for, we found that coefficient estimates were biased and the
SDM had a loss of statistical power. Further, this bias led to biased
predictions when projecting change in distribution under climate change
scenarios. The proposed errors-in-variables methods were less sensitive
to these issues.</li>
<li>We also fit the proposed models to real data (presence/absence data on the Carolina wren, <i>Thryothorus ludovicianus</i>), as a function of temperature variables.</li>
<li>The
proposed framework allows for many possible extensions and improvements
to SDMs. If information on the uncertainty of spatial climate variables
is available to researchers, we recommend the following: (i) first
identify the type of uncertainty; (ii) consider whether any spatial
autocorrelation or independence assumptions are required; and (iii)
attempt to incorporate the uncertainty into the SDM through established
statistical methods and their extensions.</li>
</ol>
</div>
</div>
</div>
</div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-73177786874750511042014-08-14T10:39:00.002-07:002014-08-26T08:55:09.347-07:00Workshop: Tools for Estimating Uncertainty in Ecology<div class="datetime">
<a href="http://eco.confex.com/eco/2014/webprogram/images/logo.gif" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="http://eco.confex.com/eco/2014/webprogram/images/logo.gif" height="166" width="200" /></a>August 10, 2014, Ecological Society Annual Meeting, Sacremento, CA. </div>
Although methods are well established for statistical analysis of most
experimental designs, there are fields in Ecology where it is more
difficult to establish confidence in results (e.g., in catchment
studies, treatments are rarely replicated). For environmental
networks, using standardized approaches ensures that results are
comparable, but sometimes the same statistical technique is not
applicable to comparable data sets (e.g. when there are significant
differences in the sample size of the same population at two
geographically distinct locations). Many of these concerns can be
addressed through the appropriate use of tools for uncertainty analysis.
This workshop will highlight current developments in uncertainty
estimation across many fields of ecology. Overview presentations will
focus on practical examples of how uncertainty calculations can inform
data over small-to-large scales. Data packages and software tools will
be shared with the attendees. Participants are encouraged to bring
their own data sets and laptop computers; we will provide data for the
exercises if you don’t bring your own. Organizers Jeffrey R. Taylor, Ruth D. Yanai
and
John Campbell, and moderator Jeffrey R. Taylor welcome participation by
researchers in all career stages and from a broad array of ecological
disciplines.
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-40944291861719701042014-02-25T11:51:00.000-08:002014-02-25T11:55:15.193-08:00uncertaintly analysis in evaluating Long-Term Monitoring efforts, in print and open access<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAE3CKptoRm6FB3NFTCa5D6YhIi21CZVVRqIAhsQu5Gw766_XXC5DAaJDBNNle9y1bYIE7FBOdKsbgNiMjtCZihoOgHQCahPXBQ6ypIzPcpZfftu2lPTQRcZUgXee3BvUBwYouDpjj92YB/s1600/LTM+HB+capture.JPG" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAE3CKptoRm6FB3NFTCa5D6YhIi21CZVVRqIAhsQu5Gw766_XXC5DAaJDBNNle9y1bYIE7FBOdKsbgNiMjtCZihoOgHQCahPXBQ6ypIzPcpZfftu2lPTQRcZUgXee3BvUBwYouDpjj92YB/s1600/LTM+HB+capture.JPG" height="200" width="58" /></a><span style="clear: left; float: left; font-size: small; margin-bottom: 1em; margin-right: 1em;"><b>Read More:</b> 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
<a href="http://www.esf.edu/for/yanai/pubpass.asp?url=Levine-2014-EcoInd-MS+erratum.pdf">PDF </a>
| <a href="http://www.sciencedirect.com/science/article/pii/S1470160X13005001">HTML</a></span><b><span style="font-size: small;">In Brief....</span></b><br />
<ul>
<a 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" 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<li><span style="font-size: small;">Uncertainty analyses can be used to improve the efficiency of environmental monitoring.</span></li>
<li><span style="font-size: small;">Evaluating monitoring data allows for detection of gaps and redundancies in monitoring programs.</span></li>
<li><span style="font-size: small;">Authors illustrate four methods of data analysis appropriate to four types of monitoring designs.</span></li>
<li><span style="font-size: small;">Authors demonstrate methods for optimizing efficiency and effectiveness of monitoring programs.</span></li>
</ul>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-66830193642122063742014-01-28T14:14:00.001-08:002014-01-29T05:25:50.629-08:00Call for Abstracts on Uncertainty: SAF and CIF Joint Meeting<div class="separator" style="clear: both; text-align: center;">
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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<a href="http://cif-ifc.org/site/2014agmcall"> here</a>. 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 <br />
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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. <br />
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Uncertainty will be prominently featured at the largest forestry meeting of the decade!</div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-30401373412186813342013-11-12T06:50:00.000-08:002013-11-21T11:48:04.583-08:00Workshop: “Error propagation for carbon estimation” <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4M9EGWImcrtT4EYCCI4nOWqUy55wCPEit-q4KYXYuhFn0lsC1VPvopsMwenFOUozcZs3kXSmEQoRsqclxC87Xk8BktBzL84MJ2vVbjZInIWZURkZSfUlZjFfc9pSyNLA8WtTcx_t3yExB/s1600/carbon+workshop+flyer.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4M9EGWImcrtT4EYCCI4nOWqUy55wCPEit-q4KYXYuhFn0lsC1VPvopsMwenFOUozcZs3kXSmEQoRsqclxC87Xk8BktBzL84MJ2vVbjZInIWZURkZSfUlZjFfc9pSyNLA8WtTcx_t3yExB/s320/carbon+workshop+flyer.png" width="246" /></a></div>
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<b></b><br />
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. <br />
<br />
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. <br />
<br />
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. <br />
<br />
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.<br />
<br />
<a href="http://www.mrv.mx/index.php/es/eventosespanol/icalrepeat.detail/2013/12/04/46/-/error-propagation-for-carbon-estimation" target="_blank">Official website</a> <br />
<br />
<b>Sponsoring Organizations: Mexican National Forestry Commission,
United Nations Development Programme, Government of Norway, Food and
Agriculture Organization of the United Nations.</b> QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-45984001699528314042013-08-15T06:39:00.001-07:002014-01-28T14:15:04.937-08:00Quantifying Uncertainty at IUFRO 2014<a href="http://iufro2014.com/scientific-program/abstract-submissions" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="177" src="https://blogger.googleusercontent.com/img/proxy/AVvXsEg4d0tVt8-XKsYmKYPmDN-d8t7Bs0wa44ut3sU1W93NM3eILVxqzWSJyrARTDHblPWGKpd3BIRKGGxfBIQl5tVbadUBzQtw3NzRahwiLi3JeUmMhT3KpDq-OKl4f0fMGa8_L-CFHhsPBn3LZjs7SnUMo17eGq4ldixOhOdaKeq0pi8Q8smUSfExnrwRHUg-=" width="320" /></a>IUFRO's Congress Scientific Committee invites abstract submissions for the <i>2014 IUFRO World Congress</i>: <i>Sustaining Forests, Sustaining People, The Rose of Research</i>, to be held October 5-11, Salt Lake City, Utah, USA.<br />
<br />
Please consider submitting abstracts to session #58 <i>Quantifying Uncertainty in Forest Measurements and Models: Approaches and Applications</i>, offered under the Congress Theme <i>Forests and Climate Change</i>, to share approaches to analyzing uncertainty in forest measurements and give examples of applications of uncertainty in above- and belowground estimates of forest biomass, carbon, and nutrient pools and fluxes, ans well as other ecosystem attributes. Oral and poster presentations will be selected from the submitted abstracts.<br />
<br />
QUEST will also have a sub-plenary session, <i>The Importance of Quantifying Uncertainty in Managing Forests</i>. Invited presenters will describe sources of uncertainty in estimates of forest carbon and nutrient pools and fluxes, including natural spatial and temporal variation, measurement error, model uncertainty, and model selection, and address how these uncertainties can guide monitoring designs and affect management and policy decision. <br />
<br />
The Sub-Plenary and the Technical Session are being organized by Ruth Yanai, SUNY-ESF, USA; George Gertner, University of Illinois, USA; David Paré, Canadian Forest Service; Peter Clinton, Scion, New Zealand; and Bogdan Strimbu, Louisiana Tech University, USA. <br />
<br />
English language abstracts (<a href="http://iufro2014.com/scientific-program/abstract-submissions">http://iufro2014.com/scientific-program/abstract-submissions</a>) are due before the site closes October 15; abstracts may also be submitted in Spanish or French, but should be submitted by 15 September, to allow sufficient time for translation prior to review by session coordinators and the Congress Scientific Committee. Also note that all presenting authors (oral or poster presentations) must register for the Congress by April 30, 2014 – failure to do so will result in the presentation’s deletion from both the program and the abstracts volume of The International Forestry Review.<br />
<br />
Please join us in Salt Lake City in October 2014! For more information, visit <a href="http://iufro2014.com/">http://iufro2014.com/</a>
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhL4nZ8pARCVBrZJtF983CqGj5KKvooc7UcalJLOzpL0i5tnz9F9Y4QYd3qxJ3RJGMJoenw9AquFQiUiVvhQ079ULmHF6NgzPgR4YLG44GJErCx6KeN7SdCo00vVvy866VMLax0d_cf4A6p/s1600/minirhizotron.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhL4nZ8pARCVBrZJtF983CqGj5KKvooc7UcalJLOzpL0i5tnz9F9Y4QYd3qxJ3RJGMJoenw9AquFQiUiVvhQ079ULmHF6NgzPgR4YLG44GJErCx6KeN7SdCo00vVvy866VMLax0d_cf4A6p/s1600/minirhizotron.jpg" height="240" width="320" /></a></div>
Ruth Yanai presented a talk at the final meeting of the European
Cooperation in Science and Technology (COST) Action FP0803: 14 May 2013, Bordeaux, France. The subject of the
COST Action was <a href="http://www.wsl.ch/fe/boden/projekte/cost-action/index_EN" rel="nofollow" target="_blank">Belowground Carbon Turnover in European forests.</a> The
talk gives an overview of Quantifying Uncertainty
in Ecosystem Studies, with attention to precipitation inputs,
streamwater outputs, biomass accumulation, and change in soil stores,
with examples of applications of uncertainty analysis to evaluating
monitoring intensity, filling gaps with minimal uncertainty,
identifying the greatest sources of uncertainty, and determining
detectable differences.</div>
<br />
<div>
Slides are available <a href="http://www.esf.edu/quest/documents/YanaiCOSTAction2013-compressed.pptx" target="_blank">here</a>.</div>
QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-50881149727925068692013-04-23T09:15:00.000-07:002013-12-16T10:21:13.893-08:00Collaborators needed: data gaps in precipitation and streamflowAll long term datsets contain missing or unusable data (gaps). While many of these gaps are inevitable, it is not possible to simply omit missing values when calculating solute fluxes from precipitation or streamflow. The uncertainty associated with gap-filling estimates is not commonly reported or propagated into these flux estimates. We hope to characterize the causes of these gaps across sites for both volume and solute chemistry in long-term precipitation and streamflow datasets. To quantify the uncertainty associate with different gap-filling methods, we will apply them to a series of "fake gaps," and compare the estimates with measured values.<br />
<br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-cX5yaQk-Z9uLWwD6a_RKGa9ldjy9bbdnBHJMpxj7x0hwKrLH7siIGno9CPiN-R_rxrdqpGohqtOyW5WuHqhPg-9BrSNDZEqtQgHGNRwD7Bvj-AM6a9v7KNztANMNE6H1ZlVvFT_yQMn6/s1600/weir+9+ice+storm.jpg" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img alt="" border="0" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-cX5yaQk-Z9uLWwD6a_RKGa9ldjy9bbdnBHJMpxj7x0hwKrLH7siIGno9CPiN-R_rxrdqpGohqtOyW5WuHqhPg-9BrSNDZEqtQgHGNRwD7Bvj-AM6a9v7KNztANMNE6H1ZlVvFT_yQMn6/s1600/weir+9+ice+storm.jpg" title="" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-family: "Arial","sans-serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-US;"> </span>Weather events can cause gaps in long-term datasets. (D. Buso)</td></tr>
</tbody></table>
To do this we need datasets! We're interested in hearing form potential co-authors with streamflow and precipitation datasets to discuss the frequency and causes of gaps, and how they fill them. We are especially in need of solute concentration datasets. We're also interested in hearing from statistically minded individuals with new ideas on how to quantify the uncertainty associated with these gaps.<br />
<br />
Please contact Craig See at <a href="mailto:crsee@syr.edu">crsee@syr.edu</a> for more information.<br />
<br />
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QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-85638518212980435662013-03-10T19:41:00.000-07:002013-06-14T17:54:48.027-07:00QUEST is now an NSF Research Coordination Network<div style="line-height: normal; margin: 0in 0in 0pt;">
<div class="separator" style="clear: both; text-align: center;">
<a href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzkAAAJvCAIAAADX0IgQAAAF7UlEQVR4nO3BAQ0AAADCoPdPbQ8HFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHwbiu0AAd6BCRMAAAAASUVORK5CYII=" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"></a></div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiHtq3spV6ARXkxCbhtSk0KgNES2JRbW_rE2bD0scdevLuo2R7I8Z5kOvbZBXvfxuGAUgh9keIttR1PU6xpwktQtPJBMFWTILVN22wzPgubm8pCpSR_b7r5SP4jzzpZZxlHMI0vd9Fa19kt/s1600/Questlogo(jpg)(1).jpeg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiHtq3spV6ARXkxCbhtSk0KgNES2JRbW_rE2bD0scdevLuo2R7I8Z5kOvbZBXvfxuGAUgh9keIttR1PU6xpwktQtPJBMFWTILVN22wzPgubm8pCpSR_b7r5SP4jzzpZZxlHMI0vd9Fa19kt/s200/Questlogo(jpg)(1).jpeg" width="200" /></a><a href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzkAAAJvCAIAAADX0IgQAAAF7UlEQVR4nO3BAQ0AAADCoPdPbQ8HFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHwbiu0AAd6BCRMAAAAASUVORK5CYII=" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><span style="font-family: Arial,sans-serif;">As of March 2013, Quantifying
Uncertainty in Ecosystem Studies (QUEST) is supported by the National Science
Foundation as a Research Coordination Network. The five-year grant will
allow the QUEST network to better support activities that advance the
application of uncertainty analysis in ecosystem studies. Efforts will
focus on outreach and research on quantifying uncertainty in five topic areas
important to ecosystem studies: atmospheric deposition, stream water export,
biomass, soils, and ecosystem budgets. </span><span style="font-family: Times,serif;"><br />
<br />
</span><span style="font-family: Arial,sans-serif;">Outreach will target ecosystem
scientists through workshops at professional meetings and periodic webinars,
each addressing issues in uncertainty in one of the five topic areas listed
above. QUEST has a website at<span style="color: cyan;"> <span style="color: blue;"><span style="font-family: Arial,sans-serif; line-height: 115%;"><a href="http://www.quantifyinguncertainty.org/" rel="nofollow" target="_blank">http://www.quantifyinguncertainty.org</a></span></span></span>, which
already includes sample code, links to papers, and news announcements. We
will be developing discussion boards, wikis, and tutorials.</span><span style="font-family: Times,serif;"><br />
<br />
</span><span style="font-family: Arial,sans-serif;">QUEST will support efforts to
clarify approaches to uncertainty analysis, illustrate its use in evaluating
monitoring designs, and address issues of detecting change over time.
QUEST will help to identify problems to be addressed by focus groups in
specific topic areas. The focus groups will produce QUEST funded
open-access publications to be made available on the website. We are also
assembling an advisory board of statisticians who will assist in education and
collaborate on research projects.</span><span style="font-family: Times,serif;"><br />
<br />
</span><span style="font-family: Arial,sans-serif;">Our goal in the first year is to get
the word out and recruit participants. Please feel free to pass on this
announcement, and please send us ideas for other avenues for outreach.</span></div>
<span style="font-family: Times New Roman;">
</span>
<br />
<div style="line-height: normal; margin: 0in 0in 0pt;">
<span style="font-family: Arial,sans-serif;">The QUEST Steering Committee:</span></div>
<span style="font-family: Times New Roman;">
</span>
<br />
<div style="line-height: normal; margin: 0in 0in 0pt;">
<span style="font-family: Arial,sans-serif;">Ruth Yanai (Coordinator), John
Campbell (Information Management), Mark Green (Statistical Coordinator), Chris
Daly (Precipitation), Rick Hooper (Streamflow), Jim Clark (Vegetation), Dan
Richter (Soils), and Mark Harmon (Ecosystem Budgets)</span></div>
<div style="line-height: normal; margin: 0in 0in 0pt;">
</div>
<span style="font-family: Times New Roman;">
</span>
<br />
<div style="line-height: normal; margin: 0in 0in 0pt;">
<span style="font-family: Arial,sans-serif;">Email us at QUEST <<span style="color: blue;"><a href="mailto:quantifyinguncertainty@gmail.com" target="_blank">quantifyinguncertainty@gmail.com</a></span>> to join our
mailing list.</span></div>
<br />QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0tag:blogger.com,1999:blog-325700363928105452.post-17781822340244560062013-01-09T09:00:00.000-08:002013-06-18T11:57:18.770-07:00Position as listed filled. Contact us about possible opening for Spring 2014.<span style="font-size: small;"><span style="font-family: inherit;">Ruth Yanai at the State University of New York College of Environmental Science and Forestry (SUNY-ESF) is recruiting students to start in Fall 2013 or Spring 2014. We have made progress quantifying uncertainty in estimates of forest biomass and stream loads and are also working on wet deposition and changes in soil storage. There are currently research opportunities associated with each of these areas. </span></span><br />
<br />
<span style="font-size: small;"><span style="font-family: inherit;">In addition to the primary research with QUEST, there are opportunities for involvement in other projects associated with MELNHE (Multi-Element Limitation in Northern Hardwood Ecosystems) in the White Mountains. MELNHE sites are located at Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook (USFS). <a href="http://www.esf.edu/melnhe" rel="nofollow">http://www.esf.edu/melnhe</a></span></span><br />
<span style="font-size: small;"><span style="font-family: inherit;"><br /></span></span><span style="font-size: small;"><span style="font-family: inherit;"><span style="line-height: 115%;">A background in ecology, statistics, and programming would be valuable assets. Funding will include tuition waiver, stipend, and health insurance, and consist of a combination of research and teaching assistantships. Please contact Heather Engelman at <a href="mailto:forestecology@esf.edu">forestecology@esf.edu</a> if you are interested in applying. Preference will be given to students available to start with the 2013 summer field season in the White Mountains of New Hampshire.</span></span></span>QUANTIFYING UNCERTAINTYhttp://www.blogger.com/profile/10350440703161175041noreply@blogger.com0