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Modeling Post-Eruption Habitat Changes for Deer at Mount St. Helens using Remote Sensing and GIS

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Book cover Geospatial Technologies in Environmental Management

Part of the book series: Geotechnologies and the Environment ((GEOTECH,volume 3))

Abstract

GIS and remote sensing are essential tools in evaluating wildlife habitat quality. Ultimately, habitat evaluations should relate quality measures to population dynamics particularly when habitat conditions are changing. Following the 1980 eruption, populations of Columbian black-tailed deer (Odocoileus hemionus columbianus) (hereafter BTD) increased rapidly but quickly declined. Similar declines have been historically attributed to a predominance of even-aged closed canopy forest and low forage biomass. The link between forage and BTD population dynamics has been shown but to our knowledge no study has applied geospatial tools to quantify landscape forage conditions and relate this to population changes for BTD. We used 6 dates of post-eruption Landsat imagery (1984, 1988, 1991, 1996, 1999, and 2002) to map forest successional patterns and estimate subsequent changes in winter forage for a portion of the Mount St. Helens blast zone. We used forest maps as inputs into a GIS model estimating the supportable density of deer as an indicator of nutritional carrying capacity (NCC). To simulate potential road and cover effects on habitat use, we reduced habitat values based upon published effects of distance to roads and the ratio of forage to cover vegetation. We created 1000 randomly placed simulated home ranges to provide a bootstrap data set for model comparisons and to characterize potential uncertainty around model estimates. We compared model estimates to actual deer population estimates in the study area. Habitat models indicated a pattern of rapid forest succession and decrease in forage which closely followed the estimated population trends for the study area. Closed canopy forest dominated the landscape after 1991, and by 1996 comprised 70% of the winter range. The combined effects of roads and cover reduced estimated habitat values by over 70% (P < 0.02) in all years although NCC models alone were closer to actual population estimates in 1984 and 1988. By 1991, NCC reduced by road and cover effects was closer to actual trends although NCC was most highly correlated (r = 0.72) with estimated deer numbers. Confidence intervals around NCC estimates indicated a considerable amount of variability in all years although a statistically significant decline in forage biomass was predicted between 1991 and 2002 (P < 0.03). Even given high variation, estimated declines in habitat quality were similar to actual population declines indicating a predictable link between habitat changes and population dynamics. Our models did detect relevant changes in habitat quality similar to population changes observed and indicate that management interspersion of early successional forests will be required for successful deer management in this region.

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References

  • Alaback PB (1982) Dynamics of understory biomass in Sitka spruce-western hemlock forests of southeast Alaska. Ecol 63:1922–1948

    Article  Google Scholar 

  • Beck JL, Peek JM, Strand EK (2006) Estimates of elk summer range nutritional carrying capacity constrained by probabilities of habitat selection. J Wildl Manag 70:283–294

    Article  Google Scholar 

  • Bender LC, Roloff GJ, Haufler JB (1996) Evaluating confidence intervals for habitat suitability models. Wildl Soc Bull 24:347–352

    Google Scholar 

  • Boyce MS, Mao JS, Merrill EH, Fortin D, Turner MG, Fryxell J, Turchin P (2003) Scale and heterogeneity in habitat selection by elk in Yellowstone National Park. Ecosci 10:421–431

    Google Scholar 

  • Brown ER (1961) The black-tailed deer in Washington state. Biological Bulletin 13 Washington State Game Department, Olympia, WA

    Google Scholar 

  • Canham CD, Finzi AC, Pacala SW, Burbank DH (1994) Causes and consequences of resource heterogeneity in forests: interspecific variation in light transmission by canopy trees. Can J For Res 24:337–349

    Article  Google Scholar 

  • Carpenter LH (1998) Deer in the west. In: deVos JC (ed) Proceedings of the 1997 Deer/Elk workshop, Rio Rico, Arizona 1–10. Arizona game and fish department, Phoenix

    Google Scholar 

  • Cohen WB, Spies TA (1992) Estimating structural attributes of douglas-fir/western hemlock forest stands from landsat and spot IMAGERY. Remote Sens Environ 41:1–17

    Article  Google Scholar 

  • Cohen WB, Spies TA, Fiorella M (1995) Estimating the age and structure of forests in a multi-ownership landscape of Western Oregon, USA. Int J Remote Sens 16:721–746

    Article  Google Scholar 

  • Cole CA, Smith RL (1983) Habitat suitability indices for monitoring wildlife populations-evaluation. Trans N Am Wildl Nat Resour Conf 48:367–375

    Google Scholar 

  • Collins JB, Woodcock CE (1996) An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sens Environ 56:66–77

    Article  Google Scholar 

  • Cook JG (2002) Nutrition and food. In: Toweill DE, Thomas JW (eds) North American elk: ecology and management, 2nd edn. Smithsonian, Washington, DC, 962 p, pp 259–349

    Google Scholar 

  • Cook JG, Johnson BK, Cook RC, Riggs RA, Delcurto V, Bryant LD, Irwin LL (2004) Effects of summer-autumn nutrition and parturition date on reproduction and survival of elk. Wildl Monogr 155: 61

    Google Scholar 

  • Crouch GL (1981) Coniferous forest habitats: part 1 food habits and nutrition. In: Wallmo OC (ed) Mule and black-tailed deer of North America. University of Nebraska Press, Lincoln, pp 423–433

    Google Scholar 

  • Dale VH, Swanson FJ, Crisafulli CM (2005) Disturbance, survival and succession: understanding ecological responses to the 1980 eruption of mount St Helens. In: Dale VH, Swanson J, Crisafulli CM (eds) Ecological responses of the 1980 Eruption of mount St. Helens, Springer, New York, NY

    Chapter  Google Scholar 

  • Davis RW (1999) Black-tailed deer habitat changes in a portion of the Mount St Helen’s blast zone. (thesis) Indiana State University, Terre Haute, IN

    Google Scholar 

  • Davis RW (2005) A GIS-based habitat model predicting elk nutritional condition in the Pacific Northwest (thesis) University of Illinois, Urbana, IL

    Google Scholar 

  • Davis RW, Bender LC, Cook JG, Cook R, Warner RE (2010) Uncertainty in habitat quality maps for elk: implications for estimates of carrying capacity. In: Tate N, Fisher PF (eds) Proceedings of the 9th international symposium on spatial accuracy assessment in natural resources and environmental sciences, Leicester, UK, pp 365–368

    Google Scholar 

  • Eberhardt LL (2002) A paradigm for population analysis of long-lived vertebrates. Ecol 83:2841–2854

    Article  Google Scholar 

  • Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman and Hall, New York, NY

    Google Scholar 

  • Fassnacht KS, Cohen WB, Spies TA (2006) Key issues in making and using satellite-based maps in ecology: a primer. For Ecol Manag 222:167–181

    Article  Google Scholar 

  • Farmer AH, Armbruster MJ, Terrell JW, Schroeder RL (1982) Habitat models for land-use planning: assumptions and strategies for development. Trans N Am Wildl Nat Resour Conf 47:47–56

    Google Scholar 

  • Franklin JF, MacMahon JA, Swanson FJ, Sedell JR (1985) Ecosystem responses to the eruption of mount Saint Helens. Natl Geogr Res 1985:198–216

    Google Scholar 

  • Franklin JF, Dyrness CT (1988) Natural vegetation or Oregon and Washington. Oregon State University Press, Corvallis, OR

    Google Scholar 

  • Frenzen PM, Crisafulli CM (1990) Mount Saint Helens ten years later: past lessons and future promise. Northwest Sci 64:263–267

    Google Scholar 

  • Fretwell SD, Lucas HL (1970) On territorial behaviour and other factors influencing habitat distribution in birds. Acta Biotherotica 19:16–36

    Article  Google Scholar 

  • Gilbert BA, Raedeke KJ, Skalski JR, Stringerv AB (2007) Modeling black-tailed deer population dynamics using structured and unstructured approaches. J Wildl Manag 71:144–154

    Article  Google Scholar 

  • Gill RMA, Johnson AL, Francis A, Hiscocks K, Peace AJ (1996) Changes in roe deer (Capreolus capreolus L) population density in response to forest habitat succession. For Ecol and Manag 88:31–41

    Article  Google Scholar 

  • Glenn EM, Ripple WJ (2004) On using digital maps to assess wildlife habitat. Wildl Soc Bull 31:852–860

    Article  Google Scholar 

  • Harrington LMB, Harrington JA, Frezen PM (1998) Vegetation change in the Mount Saint Helens (U.S.A.) blast zone, 1979–1992. Geocarto Int 13:75–82

    Article  Google Scholar 

  • Heffelfinger JR, Carpenter LH, Bender LC, Erickson G, Kirchoff MD, Loft ER, Glasgow WM (2003) Ecoregional differences in population dynamics. In: deVos JC, Conover MR, NE Headrick (eds) Mule deer conservation: Issues and management strategies. Jack H. Berryman Press, Logan, UT

    Google Scholar 

  • Hobbs NT, Hanley TA (1990) Habitat evaluation: do use/availability data reflect carrying capacity? J Wildl Manag 54:515–522

    Article  Google Scholar 

  • Hobbs NT (2003) Challenges and opportunities in integrating ecological knowledge across scales. For Ecol Manag 181:223–238

    Article  Google Scholar 

  • Jules, MJ, Sawyer JO, Jules ES (2008) Assessing the relationships between stand development and understory vegetation using a 420-year chronosequence. For Ecol Manag 255:2384–2393

    Article  Google Scholar 

  • Katnik DD, Wielgus RB (2005) Landscape proportions versus Monte Carlo simulated home ranges for estimating habitat availability. J Wildl Manag 69:20–32

    Article  Google Scholar 

  • Lillesand TM, Kiefer RW (2004) Remote sensing and image interpretation. Wiley, New York, NY

    Google Scholar 

  • Lutz DW, Wakeling BF, Carpenter L, Stroud D, Cox M, McWhirter D, Rosenstock S, Bender LC, Reeve AF (2003) Impacts and changes to mule deer habitat. In: deVos JC, Conover MR, Headrick NE (eds) Mule deer conservation: issues and management strategies. Jack H. Berryman Press, Logan, UT, pp 13–62

    Google Scholar 

  • Merrill EH, Raedeke K, Knutson KL, Taber R (1986) Elk recolonization and population dynamics in the northwest portion of the Mount St. Helens blast zone. In: Keller SAC (ed) Mount St. Helens: five years later. East Washington University Press, Spokane, WA

    Google Scholar 

  • McCorquodale SM (2003) Sex-specific movements of elk in relation to roads in the cascade range of Washington. J Wildl Manag 67:729–741

    Article  Google Scholar 

  • Mirik M (2005) Hyperspectral one-meter-resolution remote sensing in Yellowstone National Park, Wyoming: I forage nutritional values. Rangel Ecol Manag 58:452–458

    Article  Google Scholar 

  • Morrison ML (2001) A proposed research emphasis to overcome the limits of wildlife-habitat relationship studies. J Wildl Manag 65:613–623

    Article  Google Scholar 

  • Nabuurs GJ (1996) Quantification of herb layer dynamics under tree canopy. For Ecol Manag 88:143–148

    Article  Google Scholar 

  • O’Neil TA, Bettinger P, Marcot BG, Luscome BW, Koeln GT, Bruner HJ, Barrett CB, Pollack JA, Bernatas S (2005) Application of spatial technologies in wildlife biology. In: Braun CE (ed) Techniques for Wildlife Investigations and Management, 6th edn. The Wildlife Society, Bethesda, MD

    Google Scholar 

  • Peek JM, Dennis B, Hershey T (2002) Predicting population trends for mule deer. J Wildl Manag 66:729–736

    Article  Google Scholar 

  • Pieper RD (1990) Overstory-understory relations in pinyon-juniper woodlands in New Mexico. J Range Manage 43:413–415

    Article  Google Scholar 

  • Robinson S, McCarthy BC (1999) Potential factors affecting the estimation of light availability using hemispherical photography in oak forest understories. J Torrey Bot Soc 126:344 349

    Article  Google Scholar 

  • Rodrick E, Milner R (eds) (1991) Columbian black-tailed deer In: Management recommendations for Washington’s priority habitats and species. Washington Department of Fish and Wildlife, Olympia, WA

    Google Scholar 

  • Roloff GJ, Kernohan BJ (1999) Evaluating the reliability of habitat suitability index models. Wildl Soc Bull 27:973–985

    Google Scholar 

  • Rost G, Bailey J (1979) Distribution of elk and mule deer in relation to roads. J Wildl Manag 43:634–641

    Article  Google Scholar 

  • Rowland MM, Wisdom MJ, Johnson BK, Kie JG (2000) Elk distribution and modeling in relation to roads. J Wildl Manag 64:672–684

    Article  Google Scholar 

  • Scharpf RW (1985) Process paper for calculating deer and elk populations In: Brown ER (ed) Management of wildlife and fish in the forests of western Oregon and Washington. USDA US For Serv Publ R6-F&WL-192-1985:1–13

    Google Scholar 

  • Senft RL, Coughenour MB, Baily DW, Rittenhouse LR, Sala OE, Swift DM (1987) Large herbivore foraging and ecological hierarchies: landscape ecology can enhance traditional foraging theory. Biosci 37:789–799

    Article  Google Scholar 

  • Skovlin JM, Zager P, Johnson BK (2002) Elk habitat selection and evaluation In: Toweill DE, Thomas JW (eds) North American elk: ecology and management, 2nd edn. Smithsonian, Washington DC, pp 531–556

    Google Scholar 

  • Stephens DW, Krebs JR (1986) Foraging theory. Princeton University Press, Princeton, NJ

    Google Scholar 

  • Taylor RH, Johnson RL (1976) Big game habitat improvement project in western Washington 1967–1976 PR project W-74-R Final Report, Pittman-Robertson Project W-74-R. Washington Department of Game, Olympia, WA

    Google Scholar 

  • Thomas JW (ed) (1979) Wildlife habitats in managed forests, the Blue Mountains of Oregon and Washington. USDA US For Serv Handb 553: 512

    Google Scholar 

  • Turner MG, Gardner RH, O’Neil RV (2001) Landscape ecology in theory and practice. Springer, New York, NY

    Google Scholar 

  • Van Niel KP, Austin MP (2007) Predictive vegetation modeling for conservation: Impact of error propagation from digital elevation data. Ecol Appls 17:266–280

    Article  Google Scholar 

  • Washington Department of Game (1983) Big Game Status Report, 1980-1981-1982. Olympia, WA

    Google Scholar 

  • Wickstrom ML, Robbins CT, Hanley TA, Spalinger DE, Parrish SM (1984) Food intake and foraging energetics of elk and mule deer. J Wildl Manag 48:1285–1301

    Article  Google Scholar 

  • Witmer GW, de Calesta DS (1985) Effect of forest roads on habitat use by Roosevelt elk. Northwest Sci 59:122–125

    Google Scholar 

  • Witmer GW, Wisdom M, Harshman EP, Anderson RJ, Carey C, Kuttel MP, Luman ID, Rochelle JA, Sharpf RW, Smithey D (1985) Deer and elk. In: Brown ER (ed) Management of wildlife and fish habitats in forests of western Oregon and Washington. USDA, US For Serv Publ R6-F&WL-192-1985, Washington, DC

    Google Scholar 

  • Wisdom MJ, Bright LR, Carey CG, Hines WW, Pedersen RJ, Smithey DA, Thomas JW, Witmer GW (1986) A model to evaluate elk habitat in western Oregon. USDA, US For Serv Publ R6-F&WL-216-1986, Washington, DC

    Google Scholar 

  • Yoccoz NG (1991) Use, overuse, and misuse of significance tests in evolutionary biology and ecology. Bull Ecol Soc Am 72:106–111

    Google Scholar 

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Acknowledgments

We would like to thank the Weyerhaeuser Corporation for the use of forest management data. In particular we thank Ross Gilcrist for sharing his ground photos and Janette Bach helping compile GIS data. This work was partially supported by a NASA Technology Transfer grant to Indiana State University 1995–1999.

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Correspondence to Ronald W. Davis .

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Davis, R.W., Bender, L.C., Mausel, P.W., Chapa-Vargas, L., Warner, R.E. (2010). Modeling Post-Eruption Habitat Changes for Deer at Mount St. Helens using Remote Sensing and GIS. In: Hoalst-Pullen, N., Patterson, M. (eds) Geospatial Technologies in Environmental Management. Geotechnologies and the Environment, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9525-1_2

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