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Join the WBEA Science Integration Workshop in Calgary on January 27-28, 2016 to explore practical monitoring methods and develop an integrated, science-based approach for informed decision making. The workshop aims to draw science and monitoring elements together, identify gaps, and provide a holistic approach forward.
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Day Two Introduction Kevin Percy WBEA Science Integration Workshop: State of Knowledge/Understanding and the Path Forward. Calgary, January 27-28, 2016
Focus/Purpose of the Workshop • Draw the science/monitoring elements together • Identify gaps, linkages • Provide integrated, science-based holistic approach forward
“Practical” Monitoring:Mapping, Effects Measurement, Modeling and Reporting For Informed Decision Making .
Tkacz, Ritters, Percy 2013. pp. 49-73 IN M. Ferretti and R. Fischer (Eds.) Forest Monitoring: Methods For Terrestrial Investigations In Europe With An Overview Of North America And Asia. Elsevier, Oxford, UK.
WBEA Science Enhancement 2008-2011 • Source to sink measurement • Forest health approach • New conceptual network design • Expand plot network with ecologically analogous sites • Co-measure inputs (predictors) and responses (indicators) in space and time • Build the science team • Deliver work that is science-based and meets regional stakeholder needs
WBEA Science Team • WBEA staff technicians, scientists, advisors • University of Calgary • University of Alberta • University of British Columbia • AESRD • ECOSAT, Vancouver • ECOFIN, Toronto • Stantec, Calgary • Tom Dann, Ottawa 6
WBEA Science Team • Desert Research Institute, University of Nevada • Research Triangle Institute, RTP, NC • University of Minnesota • US EPA-ORD, RTP, NC • Atmospheric Research and Analysis, RTP, NC • USDA Forest Service, Riverside, CA • University of Michigan, Ann Arbor, MI • Binghamton University, NY • VOC Technologies, Portland, OR • Southern Illinois University, IL • Villanova University, PA • Environmental Systems Research Institute (ESRI), CA • Centre for Ecology and Hydrology, UK • University of Helsinki, FN 7
Oversight Beyond Science Advisors • Review of TEEM in 2006/07 led to science enhancement 2008/12 • Ex-Officio SAB/TEEM SSC (members/scientists) evaluation of indicators/endpoints • Ex-Officio Science Advisory Board • Dr. Mike Miller, Argonne National Laboratory • Dr. Sandy McLaughlin, Oak Ridge National Laboratory • Dr. Tom Nash III, University of Wisconsin • Dr. Dale Johnson, University of Nevada • Dr. Ted Hogg, NRCan-CFS TEEM Indicators Workshop, May 2010
Day One-Morning • Davies • Perspective on Sources and Emissions in the AOSR • Watson • Perspective on Real-World Stack, Dust and Vehicle Emissions • Prasad • Ambient Air Monitoring: What is Monitored and Why • Dann • Synopsis of Ambient Air Quality and Local/Regional Meteorology • Fenn • Regional Deposition Ion Exchange Resins
Day One-Afternoon • Forest Health Panel • MacDonald, Puckett, Grayston • Field/Source Measurements and Receptor Modeling • Landis, Puckett, Edgerton, Studabaker, Graney • Edgerton, Hsu • New Approaches to Air Measurements • Fennell • Hydrological Perspective of the AOSR
The DENE definition for monitoring is:“Watching, Listening, Learning” the “Things That Are Changing”* *A. Garibaldi (pers. comm.)
General Expectations From Monitoring (forests) • Is there any measurable effect of air pollution on forest productivity or health? • Detection • If there is, how serious is the effect and how will it progress? • Quantification • If air pollutant exposure leading to the effect is diminished, will forest health improve and productivity improve in the future? • Understanding processes and resilience • \
Design Changes 2008-2011 • Source to sink measurement • Forest health approach • New conceptual network design • Expand plot network with ecologically analogous sites • Co-measure inputs (predictors) and responses (indicators) in space and time Percy, Maynard, Legge 2012. pp. 193-217 In K.E. Percy (Ed.) Alberta Oil Sands: Energy, Industry and the Environment. Elsevier, Oxford, UK.
Suite of Measurements • 25 stand level plots • 24 edge plots • 6 meteorological towers • Soil MC, T • 4 level Met. • 23 IER sites • 23 passive monitors • 3 portable O3 monitors • PRS probes
Receptor Modeling For The Apportionment of Complex Multiple Source Emissions and Deposition for Use In Regional Cumulative Effects Assessment
Reminder: AOSR JP Ecological Analogue Types NUTRIENT REGIME Very Poor Poor Very Xeric MOISTURE REGIME Xeric