Applications of a Climate Moisture Index for assessing impacts of the drought on aspen forests in the Prairie Provinces

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Applications of a Climate Moisture Index for assessing impacts of the 2001-2002 drought on aspen forests in the Prairie Provinces 1 E.H. (Ted) Hogg, 1 J.P. Brandt, 1 M. Michaelian, 1 D.T. Price, 1 M. Siltanen & 2 D.M. McKenney 1 Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada Edmonton, Alberta 2 Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada Sault Ste. Marie, Ontario Drought Research Initiative Workshop #2 11-13 13 January 2007, Winnipeg, Manitoba

Two major methods for measuring drought 1. Relative indicators Provide a measure of moisture relative to the long-term mean and variability at a given location e.g., Standardized Precipitation Index, Palmer Indices 2. Absolute indicators Provide a measure of moisture conditions as they affect biophysical processes such as fire (fuel moisture), vegetation (soil moisture) & stream flow (water runoff) e.g., Canadian Fire Weather Index System for assessing forest fire risk Climate Moisture Index for assessing forest-climate relationships

Climate Moisture Index (CMI) A simple index for assessing moisture regimes in remote forested regions where long-term climate data are typically limited to temperature and precipitation pitation CMI = P - PET (units in cm/year) P is mean annual precipitation (includes water input as both rain and snow) PET is annual potential evapotranspiration (loss of water vapour from well-vegetated landscape) P PET Methods for estimating PET: 1. Jensen-Haise (mean monthly solar radiation, temperature, and elevation) 2. Simplified Penman-Monteith (maximum and minimum temperature, elevation) From Hogg (1994) Can. J. For. Res. 24: 1835-1845 and Hogg (1997) Agric. For. Meteorol. 84: 115-122. runoff

Application of the Climate Moisture Index: Analysis of climatic factors affecting forest distribution under present and projected future climate (Hogg and Hurdle 1995) From Hogg, E.H. and P.A. Hurdle. 1995. The aspen parkland in western Canada: A dryclimate analogue for the future boreal forest? Water, Air and Soil Pollution 82: 391-400.

Applications of the CMI (continued): Studies of drought impacts on forest growth & dieback CIPHA: Climate Impacts on Productivity & Health of aspen Started in 2000 by Hogg, Brandt and Kochtubajda in response to concerns about aspen dieback BERMS Annual monitoring of aspen forest health in 25 study areas (75 stands) Includes tree-ring analysis of past growth BARK 2000 Aspen tree-rings 1990 BERMS Old Aspen site Prince Albert National Park

Results: CIPHA tree-ring ring analysis total of 432 aspen trees sampled Main factors affecting aspen growth: Climate Moisture Index (CMI) for 1 August-31 July ( tree( water year ) Insect defoliation (D) mainly forest tent caterpillar Dry CMI Moist Detrended growth (A ) Interannual variation in the regional CMI Drought years Defoliation years 2001-02 drought Regression: A = 1.169 + 0.0111 CMI + 0.0099 CMI -1 + 0.0071 CMI -2 + 0.0058 CMI -3 + 0.0055 CMI -4 0.0119 D, r 2 =0.697 From Hogg et al. 2005, Can. J. For. Res. (results updated to 2004)

Impacts of the 2001-2002 2002 drought Severe aspen mortality in the parklands of Sask. & Alberta (resembling fire in some areas!) Annual stem mortality (%) Conifers and urban trees also affected Aspen mortality in CIPHA plots increased in the 4 years following the drought Spatial variation in mortality best correlated with drought severity (minimum CMI) 6 5 4 3 2 1 2000 2001 2001 2002 2002 2003 Year 2003 2004 2004 2005 2005 2006 Severe aspen mortality following drought near North Battleford, Sask. (Michaelian, Aug. 2004) Mortality (%) 40 30 20 10 0 Drought-damaged aspen foliage August 2002 Aspen dieback at Batoche, Sask. May 2003 Mortality of aspen biomass during 2000-2005 y = 0.0033x 2-0.1297x + 5.529 R 2 = 0.3659-50 -40-30 -20-10 0 Minimum one-year CMI (2000-2005)

Impacts of the 2001-2002 drought Aerial survey of aspen mortality August 2004, CIPHA study Flight lines BERMS (BOREAS) Flux tower site, Prince Albert National Park Drought was the worst on record across most of the area surveyed Prince Albert MORTALITY Light Moderate Severe CIPHA site Forest Fire Surveys and preliminary map by M. Michaelian Drought-induced aspen mortality at Fort Carlton, Sask., August 2006

DRY MOIST Mapping of the CMI For monitoring & retrospective analyses of forest responses to drought -60-30 0 +30 +60 +90 Climate Moisture Index (CMI) 30-year mean 1961-1990 1990 2001-2002 2002 Methods: uses 10-km gridded elevation and monthly temperature & precipitation (1901-2003) interpolation by ANUSPLIN for all of Canada (McKenney( et al.) applied CMI equations (P PET) for 12-month periods ending 31 July Area covered by aerial survey of aspen dieback and mortality

Mapping of the CMI Comparison with previous prairie drought years DRY MOIST -60-30 0 +30 +60 +90 Climate Moisture Index (CMI) 30-year mean 1961-1990 1990 1960-1961 1961 2000-2001 2001 1936-1937 1937 1987-1988 1988 2001-2002 2002 In the affected areas of aspen parkland, the 2001-2002 2002 drought was more severe than during some previous well-known years of prairie drought

Mapping of the CMI Comparison with previous boreal drought years DRY MOIST -60-30 0 +30 +60 +90 Climate Moisture Index (CMI) 30-year mean 1961-1990 1990 1940-1941 1941 1979-1980 1980 1918-1919 1919 1963-1964 1964 2001-2002 2002 But: there were other years with a more northerly extent of drought that were of comparable severity to the 2001-2002 2002 drought in parts of the CIPHA study region

Future applications of the CMI Scaling up regional-scale impacts of the recent drought Includes remote sensing component (with Hall, Arsenault et al.) Assessing impacts of recent drought on C uptake & release Estimating impacts of past droughts on forest growth, biomass and C uptake Assessing risks to urban forests, plantations & afforestation projects See Volney et al. (2005), Unasylva 221: 20-25 25 Inclusion of drought as a disturbance type in forest carbon accounting counting Potential for inclusion in the CFS Carbon Budget Model (Kurz( et al.) Development of climate-driven models of forest growth & dieback Potential tool for managing forests under a changing climate

CIPHA investigators E.H. Ted Hogg James Brandt Ron Hall Anthony Hopkin (GLFC) Bob Kochtubajda (EC) Research collaborations Alan Barr (EC) Pierre Bernier (LFC) Andy Black (UBC) Jag Bhatti Olivier Bouriaud Praveena Krishnan (UBC) Werner Kurz (PFC) Vic Lieffers (U of A) Dan McKenney (GLFC) David Price Ken van Rees (U of S) Alison Theede (U of S) and others Team members & collaborators Data management & analysis systems Mike Michaelian Forest health crew leaders Mike Michaelian Trisha Hook Al Keizer (GLFC) Michael Salomons Roger Brett and others Tree-ring ring analyses Funding (CIPHA study) Trisha Hook Michael Salomons Thierry Varem-Sanders and others Aerial surveys & remote sensing systems Mike Michaelian Eric Arsenault Rob Skakun Climate Change Action Fund Program of Energy Research and Development Mistik Management Ltd., Meadow Lake, Sask. Forest 2020 AAFC PFRA Administration CFS Climate Change and Forest Health groups Field & laboratory assistance Jim Hammond Rick Hurdle Roger Nesdoly (MM) Brad Tomm Jim Weber Brian Christensen Andrea Durand Ray Fidler (PC) Angela Johnson Sarah Martin Ryan Raypold Erin Van Overloop Mark Schweitzer Jessica Snedden Bill van Egteren Bryan Vroom Dave Wieder (PC) and others