Survival of Red Desert Pronghorn in the Face of Environmental and Anthropogenic Change
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Steve Perry Survival of Red Desert Pronghorn in the Face of Environmental and Anthropogenic Change Adele K. Reinking1, Jeffrey L. Beck1, Tony W. Mong2, Mary J. Read3, and Kevin L. Monteith4 1Department of Ecosystem Science and Management, University of Wyoming, 1000 E. University Avenue, Laramie, WY 82071 2Wyoming Game and Fish Department, P.O. Box 116, Savery, WY 82332 3Bureau of Land Management, 1300 3rd Street, Rawlins, WY 82301 4Haub School of Environment and Natural Resources, Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, 1000 E. University Avenue, Laramie, WY 82071 Wyoming pronghorn audubon.org The Red Desert wyofiles.com The Red Desert Red Desert herd Red Desert CDC Baggs Bitter Creek Baggs herd Bitter herd Creek Baggs The Red Desert National Oceanic and Atmospheric Administration (NOAA) Climate Divisions for State of Wyoming wyofiles.com wyofiles.com ncdc.noaa.gov The Red Desert 0.18/km2 0.53/km2 0−5.1/km2 0−13.7/km2 0.57/km2 0.15/km2 2 2 0−5.8/km Red 0−8.2/km Desert CDC Baggs Bitter Creek Baggs Mortality risk statistics Basic statistics: • 186 adult female pronghorn collared • 80% of deaths occurred in summer • 124 females included in summer modeling Daily Red Desert Pronghorn Survival • GPS-collared individualsMedian Survival= 0.75 •1 2 hour fix rate • 2 years Modeling events 0.8 140 Survival 130 Lower CI 120 0.6 110 Upper CI 100 31 Died 90 Survival 0.4 80 70 Survived 0.2 60 50 40 93 0 of eventsNumber 30 20 10 1/10/2014 2/10/2014 3/10/2014 4/10/2014 5/10/2014 6/10/2014 7/10/2014 8/10/2014 9/10/2014 1/10/2015 2/10/2015 3/10/2015 4/10/2015 5/10/2015 6/10/2015 7/10/2015 8/10/2015 9/10/2015 1/10/2016 11/10/2013 12/10/2013 0 10/10/2014 11/10/2014 12/10/2014 10/10/2015 11/10/2015 12/10/2015 Date Mortality Risk Hypotheses 1) Habitat quality 2) Anthropogenic conditions 3) Intrinsic factors Hypothesis 1: Habitat quality Robbins & Robbins 1979 roadsendnaturalist.com Hypothesis 1: Habitat quality usgs.gov Northern Focus Photography Hypothesis 1: Habitat quality Mautz 1978 goeddelphotography.com Hypothesis 1: Habitat quality roadsendnaturalist.com Hypothesis 1: Habitat quality county10.com Hypothesis 1: Habitat quality Predicted Explanatory Covariates Climate Sagebrush Distance to water commons.wikimedia.org Fat Temperature Reserves (time lag) audubon.org Proportion locations in Precipitation sagebrush (time lag) (seasonally) Joe Riis Hypothesis 2: Anthropogenic conditions Sawyer et al. (2009) hcn.org Polfus et al. (2011) Beckmann et al. (2012) eurekalert.org Hypothesis 2: Anthropogenic conditions sciencedaily.com earthisland.org Joe Riis Hypothesis 2: Anthropogenic conditions Predicted Explanatory Covariates Roads Wells Fences onthewingphotography.com Joe Riis Fat Reserves Joe Riis Distance Density Hypothesis 3: Intrinsic factors Palpation Sacrum Base of Tail Caudal Vertebrae Lumbar Vertebrae Sacrosciatic Ligament Ultrasonography Fat Reserves Longissimus Dorsi Maximum Rump Fat Bicep Femoris digital-images.net Hypothesis 3: Intrinsic factors deerhuntingpros.com Estimated Age Corrected Age 0.7855*Est. Age + 2.00093 2 1 Modeling approach Modeling results canada-hunts.ca Modeling results Mortality risk increases with: Proportion time spent in sagebrush during previous winter (p-value = 0.013) Total terrain ruggedness for the week (p-value < 0.001) Variation in snow depth during previous winter (p- value = 0.076) ? billingsgazette.com Discussion skyhidailynews.com Proportion time spent in sagebrush during previous winter Joe Riis Future directions Thank you to our funders Many others to thank Dr. Jeff Beck Dr. Kevin Monteith & Tony Mong Teal Joseph Kim Olson Others: Beck lab Jacob Pelham Many other WGFD folks Bryan Lamont Mary Read Melanie LaCava Frank Blomquist Melinda Nelson Many other BLM folks Preston Foote Dr. Shannon Albeke Jack Taylor McCall Calvert Dr. Derek Scasta Gary Sundberg Zachary Robinson Dr. Holly Ernest Cory Reinking Missy Stallard Adele Reinking [email protected] Melanie LaCava The Red Desert Red Desert Herd Population Trend TITLE 20000 Red 18000 16000 Desert CDC 14000 Actual 12000 Objective Baggs 10000 8000 6000 Bitter Size Population 4000 Creek 2000 Baggs 0 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year Bitter Creek Herd Population Trend Baggs Herd Population Trend 30000 14000 12000 25000 10000 20000 Actual Actual 8000 15000 Objective Objective 6000 10000 4000 Population Size Population Population Size Population 5000 2000 0 0 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year Year Jansen Gunderson Modeling approach Random Effect Coefficient Model K AICc Delta Model AICc Log Cumulative Name AICc Likelihood Weight Likelihood Weight Study 1 256.68 0.00 1.00 0.40 -127.34 0.40 Area Year + 2 258.50 1.82 0.40 0.16 -127.25 0.55 Study Area Individual 2 258.62 1.94 0.38 0.15 -127.31 0.70 + Study Area Year 1 258.75 2.07 0.36 0.14 -128.37 0.85 Individual 1 259.37 2.69 0.26 0.10 -128.69 0.95 Individual 2 260.75 4.07 0.13 0.05 -128.37 1.00 + Year Modeling approach Non-Collinear Covariates ranking above the null model • Total terrain ruggedness for the week • Total distance to roads for the week • Total fence density at the 5km scale for the week • Total distance to wells for the week • Total distance to water for the week • Variation in snow depth during the previous winter • Sacrosciatic ligament depth • Proportion time spent in sagebrush during the previous winter • Estimated Age Modeling approach Mary Ann Melton pinterest.com spokesman.com Modeling approach canada-hunts.ca Hypothesis Testing Model K AICc Delta Model AICc Log Cumulative AICc Likelihood Weight Likelihood Weight Habitat 4 178.52 0.00 1.00 5.05 -85.26 0.51 Habitat + 5 179.56 1.04 0.60 0.30 -84.77 0.81 Intrinsic Anthro. + 6 181.38 2.86 0.24 0.12 -84.68 0.93 Habitat ALL THREE 7 182.41 3.89 0.14 0.07 -84.19 1.00 Anthro. 3 233.21 54.69 <0.001 <0.001 -113.60 1.00 Anthro + 4 234.24 55.72 <0.001 <0.001 -113.12 1.00 Intrinsic Intrinsic 2 255.05 76.53 <0.001 <0.001 -125.52 1.00 NULL 1 256.68 78.16 <0.001 <0.001 -127.34 1.00 Summary of final model Covariate Coefficient Standard Hazard ratio 95% Lower 95% Upper P- Error [exp Confidence Confidence value (coefficient)] Limit Limit Proportion 10.29 4.13 29,361.60 8.98 96,475,534 0.01 time sage previous winter Variation in 0.18 0.10 1.20 0.98 1.46 0.08 snow depth previous winter Total -0.43 0.06 0.65 0.58 0.73 <0.001 terrain ruggedness for the week Schoenfeld Residuals Hazard Plots Proportion time in sage the previous winter Hazard Plots Variation in snow depth the previous winter Hazard Plots Total terrain ruggedness for the week .