Predicting Functional Role and Occurrence of Whitebark Pine (Pinus albicaulis) at Alpine Treelines: Model Accuracy and Variable Importance

Annals of the Association of American Geographers

Volumn 104, Issue 4, 2014, Pages 703-722

  Resler, Lynn M ^a   Shao, Yang ^a   Tomback, Diana F ^b   Malanson, George P ^c  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c UNIVERSITY OF IOWA   (United States)

Author keywords

alpine treelines; keystone species; predictive modeling; Rocky Mountains

Indexed keywords

ACCURACY ASSESSMENT; CONIFEROUS TREE; ECOLOGICAL MODELING; ENVIRONMENTAL CONDITIONS; FOREST COVER; GROWING SEASON; KEYSTONE SPECIES; NUMERICAL MODEL; SPECIES OCCURRENCE; TREELINE;

ROCKY MOUNTAINS;

PINUS ALBICAULIS;

EID: 84903461645     PISSN: 00045608     EISSN: 14678306     Source Type: Journal    
DOI: 10.1080/00045608.2014.910072     Document Type: Article

References (111)

1. Afifi, A., and V. Clark. 1990. Computer-aided multivariate analysis. New York: Van Nostrand Reinhold.
2. Alftine, K.J., and G.P. Malanson. 2004. Directional positive feedback and pattern at an alpine tree line. Journal of Vegetation Science 15 (1): 3-12.
3. ArcGIS, Version 10.1. Redlands, CA: ESRI, Inc.
4. Arno, S.F., and R.P. Hammerly. 1984. Timberline: Mountain and arctic forest frontiers. Seattle, WA: The Mountaineers.
5. Arno, S.F., and R.J. Hoff. 1990. Pinus albicaulis Engelm: Whitebark pine. In Silvics of North America: Vol. 1. Conifers, ed. R.P. Burns and B.H. Honkala, 268-79. Washington, DC: USDA Forest Service.
6. Austin, M. 2002. Spatial prediction of species distribution: An interface between ecological theory and statistical modelling. Ecological Modelling 157 (2): 101-18.
7. Bader, M.Y., and J.J. Ruijten. 2008. A topography-based model of forest cover at the alpine tree line in the tropical Andes. Journal of Biogeography 35 (4): 711-23.
8. Bakkenes, M., J. R. M. Alkemade, F. Ihle, R. Leemans, and J. B. Latour. 2002. Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Global Change Biology 8:390-407.
9. Bansal, S., K. Reinhardt, and M.J. Germino. 2011. Linking carbon balance to establishment patterns: Comparison of whitebark pine and Engelmann spruce seedlings along an herb cover exposure gradient at treeline. Plant Ecology 212 (3): 219-28.
10. Barrett, S.W. 1994. Fire regimes on andesitic mountain terrain in northeastern Yellowstone National Park, Wyoming. International Journal of Wildland Fire 4 (2): 65-76.
11. Barry, R.G. 1992. Mountain weather and climate. London and New York: Routledge.
12. Bekker, M.F. 2005. Positive feedback between tree establishment and patterns of subalpine forest advancement, Glacier National Park, Montana, USA. Arctic, Antarctic, and Alpine Research 37 (1): 97-107.
13. Benedict, J.B. 1984. Rates of tree-island migration, Colorado Rocky Mountains, USA. Ecology 65:820-23.
14. Bertness, M.D., and R. Callaway. 1994. Positive interactions in communities. Trends in Ecology and Evolution 9 (5): 191-93.
15. Blakeslee, S.C. 2012. Assessing whitebark pine vigor and facilitation roles in the alpine treeline ecotone. Master's thesis, University of Colorado at Denver, Denver, CO.
16. Breiman, L. 2001. Statistical modeling: The two cultures (with comments and a rejoinder by the author). Statistical Science 16 (3): 199-231.
17. Breiman, L., J.H. Friedman, R.A. Olshen, and C.J. Stone. 1984. Classification and regression trees. Monterey, CA: Wadsworth and Brooks.
18. Brown, D.G. 1994. Predicting vegetation types at treeline using topography and biophysical disturbance variables. Journal of Vegetation Science 5 (5): 641-56.
19. Butler, D.R., and G.P. Malanson. 1989. Periglacial patterned-ground, Waterton-Glacier International-Peace-Park, Canada and USA. Zeitschrift für Geomorphologie 33 (1): 43-57.
20. Callaway, R.M. 1998. Competition and facilitation on elevation gradients in subalpine forests of the northern Rocky Mountains, USA. Oikos 3:561-73.
21. Callaway, R.M., R.W. Brooker, P. Choler, Z. Kikvidze, C.J. Lortie, R. Michalet, L. Paolini, et al. 2002. Positive interactions among alpine plants increase with stress. Nature 417 (6891): 844-48.
22. Campbell, E.M., and J.A. Antos. 2000. Distribution and severity of white pine blister rust and mountain pine beetle on whitebark pine in British Columbia. Canadian Journal of Forest Research 30 (7): 1051-59.
23. Cohen, J. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20 (1): 37-46.
24. Collinge, S.K., C. Ray, and J.F. Cully, Jr. 2008. Effects of disease on keystone species, dominant species, and their communities. In Infectious disease ecology, ed. R.S. Ostfeld, F. Keesing, and V.T. Eviner, 129-44. Princeton, NJ: Princeton University Press.
25. Congalton, R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37 (1): 35-46.
26. Cully, J.F., S.K. Collinge, R.E. VanNimwegen, C. Ray, W.C. Johnson, B. Thiagarajan, D.B. Conlin, and B.E. Holmes. 2010. Spatial variation in keystone effects: Small mammal diversity associated with black-tailed prairie dog colonies. Ecography 33 (4): 667-77.
27. Cutler, D.R., T.C. Edwards, Jr., K.H. Beard, A. Cutler, K.T. Hess, J. Gibson, and J.J. Lawler. 2007. Random forests for classification in ecology. Ecology 88 (11): 2783-92.
28. Daly, C. 2006. Guidelines for assessing the suitability of spatial climate data sets. International Journal of Climatology 26 (6): 707-21.
29. Daly, C., M. Halbleib, J.I. Smith, W.P. Gibson, M.K. Doggett, G.H. Taylor, J. Curtis, and P.P. Pasteris. 2008. Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. International Journal of Climatology 28 (15): 2031-64.
30. Daubenmire, R. 1968. Plant communities. A textbook of plant synecology. New York: Harper and Row.
31. De'Ath, G. 2002. Multivariate regression trees: A new technique for modeling species-environment relationships. Ecology 83 (4): 1105-17.
32. De'Ath, G., and K.E. Fabricius. 2000. Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology 81 (11): 3178-92.
33. del Barrio, G., B. Alvera, J. Puigdefabregas, and C. Diez. 1997. Response of high mountain landscape to topographic variables: Central Pyrenees. Landscape Ecology 12 (2): 95-115.
34. Dormann, C.F., J. Elith, S. Bacher, C. Bachmann, G. Carl, G. Carré, and J.R. García. 2013. Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27-46.
35. Drake, J.M., C. Randin, and A. Guisan. 2006. Modelling ecological niches with support vector machines. Journal of Applied Ecology 43 (3): 424-32.
36. Drezner, T. 2006. Plant facilitation in extreme environments: The non-random distribution of saguaro cacti (Carnegiea gigantea) under their nurse associates and the relationship to nurse architecture. Journal of Arid Environments 65 (1): 46-61.
37. Ellenberg, H. 1988. Vegetation mitteleuropas mit den Alpen. Cambridge, UK: Cambridge University Press.
38. Elliott, G.P., and K.F. Kipfmueller. 2011. Multiscale influences of climate on upper treeline dynamics in the Southern Rocky Mountains, USA: Evidence of intraregional variability and bioclimatic thresholds in response to twentieth-century warming. Annals of the Association of American Geographers 101 (6): 1181-1203.
39. Ellison, A.M., M.S. Bank, B.D. Clinton, E.A. Colburn, K. Elliott, C.R. Ford, D.R. Foster, B.D. Kloeppel, J.D. Knoepp, and G.M. Lovett. 2005. Loss of foundation species: Consequences for the structure and dynamics of forested ecosystems. Frontiers in Ecology and the Environment 3 (9): 479-86.
40. Finklin, A.I. 1986. A climatic handbook for Glacier National Park with data for Waterton Lakes National Park. Ogden, UT: Intermountain Research Station, USDA Forest Service.
41. Finley, A.O. 2011. Comparing spatially-varying coefficients models for analysis of ecological data with non-stationary and anisotropic residual dependence. Methods in Ecology and Evolution 2 (2): 143-54.
42. Florinsky, I.V., and G.A. Kuryakova. 2000. Determination of grid size for digital terrain modelling in landscape investigations-Exemplified by soil moisture distribution at a micro-scale. International Journal of Geographical Information Science 14 (8): 815-32.
43. Franklin, J. 1995. Predictive vegetation mapping: Geographic modelling of biospatial patterns in relation to environmental gradients. Progress in Physical Geography 19 (4): 474-99.
44. Germino, M., and W. Smith. 1999. Sky exposure, crown architecture, and low-temperature photoinhibition in conifer seedlings at alpine treeline. Plant, Cell & Environment 22 (4): 407-15.
45. Guisan, A., J.P. Theurillat, and F. Kienast. 1998. Predicting the potential distribution of plant species in an alpine environment. Journal of Vegetation Science 9 (1): 65-74.
46. Guisan, A., and W. Thuiller. 2005. Predicting species distribution: Offering more than simple habitat models. Ecology Letters 8 (9): 993-1009.
47. Guisan, A., S.B. Weiss, and A.D. Weiss. 1999. GLM versus CCA spatial modeling of plant species distribution. Plant Ecology 143 (1): 107-22.
48. Guisan, A., and N.E. Zimmermann. 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135 (2): 147-86.
49. Habeck, J. 1969. A gradient analysis of a timberline zone at Logan Pass, Glacier Park, Montana. Northwest Science 43 (2): 65-75.
50. Holtmeier, F-K. 2009. Mountain timberlines: Ecology patchiness and dynamics. New York: Springer.
51. Holtmeier, F.-K., and G. Broll. 1992. The influence of tree islands and microtopography on pedoecological conditions in the forest-alpine tundra ecotone on Niwot Ridge, Colorado Front Range, USA. Arctic and Alpine Research 24 (3): 216-28.
52. Holtmeier, F.-K., and G. Broll. 2012. Landform influences on treeline patchiness and dynamics in a changing climate. Physical Geography 33 (5): 403-37.
53. Hutchins, H.E., and R.M. Lanner. 1982. The central role of Clark's nutcracker in the dispersal and establishment of whitebark pine. Oecologia 55 (2): 192-201.
54. Johnson, P.L., and W.D. Billings. 1962. The alpine vegetation of the Beartooth Plateau in relation to cryopedogenic processes and patterns. Ecological Monographs 32 (2): 105-35.
55. Karatzoglou, A., A. Smola, K. Hornik, and A. Zeileis. 2004. kernlab-An S4 package for kernel methods in R. Journal of Statistical Software 11 (9): 1-20.
56. Kendall, K.C., and R.E. Keane. 2001. Whitebark pine decline: Infection, mortality, and population trends. In Whitebark pine communities: Ecology and restoration, ed. D.F. Tomback, S.F. Arno, and R.E. Keane, 221-42. Washington, DC: Island.
57. Kikvidze, Z., and G. Nakhutsrishvili. 1998. Facilitation in subnival vegetation patches. Journal of Vegetation Science 9 (2): 261-64.
58. Körner, C. 1989. The nutritional status of plants from high altitudes. Oecologia 81 (3): 379-91.
59. Kuhn, M. 2008. Building predictive models in R using the caret package. Journal of Statistical Software 28 (5): 1-26.
60. Lanner, R.M., and S.B. Vander Wall. 1980. Dispersal of limber pine seed by Clark's nutcracker. Journal of Forestry 78 (10): 637-39.
61. Larson, E.R. 2011. Influences of the biophysical environment on blister rust and mountain pine beetle, and their interactions, in whitebark pine forests. Journal of Biogeography 38 (3): 453-70.
62. Lawler, J.J., D. White, R.P. Neilson, and A.R. Blaustein. 2006. Predicting climate-induced range shifts: Model differences and model reliability. Global Change Biology 12 (8): 1568-84.
63. Liaw, A., and M. Wiener. 2002. Classification and regression by random forest. R news 2 (3): 18-22.
64. Maher, E.L., M.J. Germino, and N.J. Hasselquist. 2005. Interactive effects of tree and herb cover on survivorship, physiology, and microclimate of conifer seedlings at the alpine tree-line ecotone. Canadian Journal of Forest Research 35 (3): 567-74.
65. Malanson, G.P., D.R. Butler, D.M. Cairns, T.E. Welsh, and L.M. Resler. 2002. Variability in an edaphic indicator in alpine tundra. Catena 49 (3): 203-15.
66. Malanson, G.P., D.R. Butler, D.B. Fagre, S.J. Walsh, D.F. Tomback, L.D. Daniels, L.M. Resler, W.K. Smith, D.J. Weiss, and D.L. Peterson. 2007. Alpine treeline of western North America: Linking organism-to-landscape dynamics. Physical Geography 28 (5): 378-96.
67. Malanson, G.P., L.M. Resler, M.Y. Bader, F.-K. Holtmeier, D.R. Butler, D.J. Weiss, L.D. Daniels, and D.B. Fagre. 2011. Mountain treelines: A roadmap for research orientation. Arctic, Antarctic, and Alpine Research 43 (2): 167-77.
68. Manning, A.D., J. Fischer, and D.B. Lindenmayer. 2006. Scattered trees are keystone structures-Implications for conservation. Biological Conservation 132 (3): 311-21.
69. Marr, J.W. 1977. The development and movement of tree islands near the upper limit of Yree growth in the southern Rocky Mountains. Ecology 58 (5): 1159-64.
70. McCaughey, W.W., and D.F. Tomback. 2001. The natural regeneration process. In Whitebark pine communities: Ecology and restoration, ed. D.F. Tomback, S.F. Arno, and R.E. Keane, 105-20. Washington, DC: Island.
71. McKenney, D.W., M.F. Hutchinson, P. Papadopol, K. Lawrence, J. Pedlar, K. Campbell, E. Milewska, R.F. Hopkinson, D. Price, and T. Owen. 2011. Customized spatial climate models for North America. Bulletin of the American Meteorological Society 92:1611-22.
72. Melgani, F., and L. Bruzzone. 2004. Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing 42 (8): 1778-90.
73. Menge, B.A., E.L. Berlow, C.A. Blanchette, S.A. Navarrete, and S.B. Yamada. 1994. The keystone species concept: Variation in interaction strength in a rocky intertidal habitat. Ecological Monographs 64 (3): 249-86.
74. Miller, J.A. 2012. Species distribution models: Spatial autocorrelation and non-stationarity. Progress in Physical Geography 36 (5): 681-92.
75. Mills, L.S., M.E. Soulé, and D.F. Doak. 1993. The keystone-species concept in ecology and conservation. Bioscience 43 (4): 219-24.
76. Morgan, P., and S.C. Bunting. 1990. Fire effects in whitebark pine forests. In Proceedings: Symposium on Whitebark Pine Ecosystems: Ecology and management of a high-mountain resource, USDA Forest Service General Technical Report INT-270, 166-70.
77. Mountrakis, G., J. Im, and C. Ogole. 2011. Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing 66 (3): 247-59.
78. Muñoz, J., and Á.M. Felicísimo. 2004. Comparison of statistical methods commonly used in predictive modelling. Journal of Vegetation Science 15 (2): 285-92.
79. Parker, K.C. 1989. Nurse plant relationships of columnar cacti in Arizona. Physical Geography 10 (4): 322-35.
80. Power, M.E., D. Tilman, J.A. Estes, B.A. Menge, W.J. Bond, L.S. Mills, G. Daily, J.C. Castilla, J. Lubchenco, and R.T. Paine. 1996. Challenges in the quest for keystones. Bioscience 46 (8): 609-20.
81. Prasad, A.M., L.R. Iverson, and A. Liaw. 2006. Newer classification and regression tree techniques: Bagging and random forests for ecological prediction. Ecosystems 9 (2): 181-99.
82. Pyatt, J.C., D.F. Tomback, S.C. Blakeslee, M.B. Wunder, and L.M. Resler. Forthcoming. The role of whitebark pine (Pinus albicaulis) as a tree island initiator in the alpine-treeline ecotone: Examining microclimate and microsite. Ecological Applications.
83. Randin, C.F., T. Dirnböck, S. Dullinger, N.E. Zimmermann, M. Zappa, and A. Guisan. 2006. Are niche-based species distribution models transferable in space? Journal of Biogeography 33 (10): 1689-1703.
84. Resler, L.M., D.R. Butler, and G.P. Malanson. 2005. Topographic shelter and conifer establishment and mortality in an alpine environment, Glacier National Park, Montana. Physical Geography 26 (2): 112-25.
85. Resler, L.M., and M.A. Fonstad. 2009. A Markov analysis of tree islands at alpine treeline. Developments in Earth Surface Processes: The Changing Alpine Treeline 12:151-65.
86. Resler, L.M., and D.F. Tomback. 2008. Blister rust prevalence in krummholz whitebark pine: Implications for treeline dynamics, northern Rocky Mountains, Montana, USA. Arctic, Antarctic, and Alpine Research 40 (1): 161-70.
87. Romme, W.H. 1982. Fire and landscape diversity in subalpine forests of Yellowstone National Park. Ecological Monographs 52 (2): 199-221.
88. Shafer, S.L., P.J. Bartlein, and C. Whitlock. 2005. Understanding the spatial heterogeneity of global environmental change in mountain regions. In Global change and mountain regions, ed. U.M. Huber, H.K. M. Bugman, and M.A. Reasoner, 21-30. New York: Springer.
89. Shao, Y., and R.S. Lunetta. 2012. Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points. ISPRS Journal of Photogrammetry and Remote Sensing 70:78-87.
90. Smith, C.M., B. Shepherd, C. Gillie, and J. Stuart-Smith. 2013. Changes in blister rust infection and mortality over time. Canadian Journal of Forest Research 43:90-96.
91. Smith, C.M., B. Wilson, S. Rasheed, R.C. Walker, T. Carolin, and B. Shepherd. 2008. Whitebark pine and white pine blister rust in the Rocky Mountains of Canada and northern Montana. Canadian Journal of Forest Research 38 (5): 982-95.
92. Smith, E.K., L.M. Resler, E.A. Vance, L.W. Carstensen, and K.N. Kolivras. 2011. Blister rust incidence in treeline whitebark pine, Glacier National Park, USA: Environmental and topographic influences. Arctic, Antarctic, and Alpine Research 43 (1): 107-17.
93. Smith-McKenna, E.K., G.P. Malanson, L.M. Resler, L.W. Carstensen, S.P. Prisley, and D.F. Tomback. Forthcoming. Feedbacks, disease, and climate influences on whitebark pine treeline dynamics: An agent-based treeline model. Ecological Modelling.
94. Smith-McKenna, E.K., L.M. Resler, D.F. Tomback, H. Zhang, and G.P. Malanson. 2013. Topographic influences on the distribution of white pine blister rust in Pinus albicaulis treeline communities. EcoScience 20 (3): 215-29.
95. Sveinbjörnsson, B., A. Hofgaard, and A. Lloyd. 2002. Natural causes of the tundra-taiga boundary. Ambio 12:23-29.
96. Tomback, D.F. 1978. Foraging strategies of Clark's nutcracker. Living Bird 16:123-60.
97. Tomback, D.F. 1982. Dispersal of whitebark pine seeds by Clark's nutcracker: A mutualism hypothesis. Journal of Animal Ecology 51:451-67.
98. Tomback, D.F. 1986. Post-fire regeneration of krummholz whitebark pine: A consequence of nutcracker seed caching. Madroño 33:100-10.
99. Tomback, D.F., and P. Achuff. 2010. Blister rust and western forest biodiversity: Ecology, values and outlook for white pines. Forest Pathology 40 (3-4): 186-225.
100. Tomback, D.F., P. Achuff, A.W. Schoettle, J.W. Schwandt, and R.J. Mastrogiuseppe. 2011. The magnificent high-elevation five-needle white pines: Ecological roles and future outlook. In The future of high-elevation, five-needle white pines in Western North America: Proceedings of the High Five Symposium, ed. R.E., Keane, D.F. Tomback, M.P. Murray, and C.M. Smith, 2-28. Missoula, MT: Rocky Mountain Research Station.
101. Tomback, D.F., A.J. Anderies, K.S. Carsey, M.L. Powell, and S. Mellmann-Brown. 2001. Delayed seed germination in whitebark pine and regeneration patterns following the Yellowstone fires. Ecology 82:2587-2600.
102. Tomback, D.F., S.F. Arno, and R.E. Keane, eds. 2001. Whitebark pine communities: Ecology and restoration. Washington, DC: Island.
103. Tomback, D.F., K. Chipman, L.M. Resler, E.K. Smith, and C. Smith. 2014. Relative abundance and functional role of whitebark pine at treeline in the Northern Rocky Mountains. Arctic, Antarctic and Alpine Research 46 (2):407-18.
104. Tomback, D.F., and Y.B. Linhart. 1990. The evolution of bird-dispersed pines. Evolutionary Ecology 4 (3): 185-219.
105. Tomback, D.F., and L.M. Resler. 2007. Invasive pathogens at alpine treeline: Consequences for treeline dynamics. Physical Geography 28 (5): 397-418.
106. Vapnik, V.N. 1998. Statistical learning theory. New York: Wiley-Interscience.
107. Vayssières, M.P., R.E. Plant, and B.H. Allen-Diaz. 2000. Classification trees: An alternative non-parametric approach for predicting species distributions. Journal of Vegetation Science 11 (5): 679-94.
108. Weaver, J.T. 1994. Mathematical methods for geo-electromagnetic induction. Taunton, UK: Research Studies Press.
109. Williams, J., and N. Poff. 2006. Informatics software for the ecologist's toolbox: A basic example. Ecological Informatics 1 (3): 325-29.
110. Zeng, Y., and G.P. Malanson. 2006. Endogenous fractal dynamics at alpine treeline ecotones. Geographical Analysis 38 (3): 271-87.
111. Zeng, Y., G.P. Malanson, and D.R. Butler. 2007. Geomorphological limits to self-organization of alpine forest-tundra ecotone vegetation. Geomorphology 91 (3): 378-92.