Environmental Management

, Volume 49, Issue 5, pp 1076–1091 | Cite as

Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management

  • Michael T. TercekEmail author
  • Stephen T. Gray
  • Christopher M. Nicholson


Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971–2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895–2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use.


Climate zonation National Park Service Yellowstone National Park Grand Teton National Park Climate monitoring Ecological impacts of climate 



Funding for this work was provided by the Greater Yellowstone Network (Bozeman, Montana), a division of the National Park Service Inventory and Monitoring Program. We thank Tim Kittell (UC Boulder) for advice on data analysis and Stacey Ostermann-Kelm (National Park Service) for helpful discussions during all phases of this project.


  1. Bartlein PJ, Whitlock C, Shafer S (1997) Future climate in the Yellowstone National Park region and its potential impact on vegetation. Conservation Biology 11:782–792CrossRefGoogle Scholar
  2. Beever EA, Ray C, Mote PW, Wilkening JL (2010) Testing alternative models of climate-mediated extirpations. Ecological Applications 20:164–178CrossRefGoogle Scholar
  3. Bengtsson T, Cavanaugh JE (2008) State-space discrimination and clustering of atmospheric time series data based on Kullback information measures. Environmetrics 19:103–121CrossRefGoogle Scholar
  4. Buell C (1975) The topography of empirical orthogonal functions. In: 4th Conference on probability and statistics in atmospheric science, Tallahassee. American Meteorological Society, Boston, pp 188–193Google Scholar
  5. Comrie AC, Glenn EC (1998) Principal components-based regionalization of precipitation regimes across the southwest United States and northern Mexico, with an application to monsoon precipitation variability. Climate Research 10:201–215CrossRefGoogle Scholar
  6. Copeland JP, McKelvey KS, Aubry KB, Landa A, Persson J, Inman RM, Krebs J, Lofroth E, Golden H, Squires JR, Magoun A, Schwartz MK, Wilmot J, Copeland CL, Yates RE, Kojola I, May R (2010) The bioclimatic envelope of the wolverine (Gulo gulo): do climatic constraints limit its geographic distribution? Canadian Journal of Zoology 88:233–246CrossRefGoogle Scholar
  7. Creel S, Christianson D (2009) Wolf presence and increased willow consumption by elk: implications for trophic cascades. Ecology 90:2454–2466CrossRefGoogle Scholar
  8. Daly C, Kittell T, McNab A, Gibson W, Royle JA, Nychka D, Parzybok DT, Rosenbloom N, Taylor G (2000) Development of a 103-year high-resolution climate data set for the coterminous United States. In: Proceedings of the 12th American meteorological society conference on applied climatology, pp 249–252Google Scholar
  9. Daly C, Redmond K, Gibson W, Doggett M, Smith J, Taylor G, Pasteris P, Johnson G (2005) Opportunities for improvements in the quality control of climate observations. 15th AMS conference on applied climatology, American Meteorological Society, Savannah, 20–23 June 2005. Paper J3.9.
  10. Daly C, Halbleib M, Smith JI, Gibson WP, Doggett MK, Taylor GH, Curtis J, Pasteris PA (2008) Physiographically-sensitive mapping of temperature and precipitation across the conterminous United States. International Journal of Climatology 28:2031–2064CrossRefGoogle Scholar
  11. Department of Interior (2000) US department of the interior real property holdings. US DOI, Washington DC, pp 76. Accessed online 19 May 2011
  12. Despain DG (1987) The two climates of Yellowstone National Park. Proceedings of the Montana Academy of Sciences 47:11–19Google Scholar
  13. Easterling DR, Horton B, Jones P, Peterson T, Karl T, Parker D, Salinger M, Razuvayev V, Plummer N, Jamason P, Folland C (1997) Maximum and minimum temperature trends for the globe. Science 277:364–367CrossRefGoogle Scholar
  14. Editors of Nature (2011) Think big. Nature 469:131Google Scholar
  15. Felsenstein J (1985) Limits on phylogenies: an approach using the bootstrap. Evolution 39:783–791CrossRefGoogle Scholar
  16. Fovell RG, Fovell MC (1993) Climate zones of the conterminous United States defined using cluster analysis. Journal of Climate 6:2103–2135CrossRefGoogle Scholar
  17. Frakes B, Ostermann-Kelm S, Ashton I, Burke J, Daley R, Tercek M, Pillmore D, Jean C, Britten M, Gray S, and Kittell T (2009) Rocky mountain climate protocol: climate monitoring in the Greater Yellowstone and Rocky Mountain inventory and monitoring networks. National Park Service Technical Report, Bozeman. Accessed online 25 Sep 2011
  18. Gleason B (2002) National climatic data center data documentation. Accessed online 30 Sep 2011
  19. Gong X, Richman M (1995) On the application of cluster analysis to growing season precipitation data in North America east of the Rockies. Journal of Climate 8:897–931CrossRefGoogle Scholar
  20. Gray ST (2008) Framework for linking climate, resource inventories and ecosystem monitoring. Natural resource technical report NPS/GRYN/NRTR-2008/110. National Park Service, Fort Collins. Accessed online 25 Sep 2011
  21. Halfpenny JC, Ozanne RD (1989) Winter, an ecological handbook. Johnson Books, Boulder, p 273Google Scholar
  22. Huerta HA, Whitlock C, Yale J (2009) Holocene-vegetation-fire-climate linkages in northern Yellowstone National Park. Palaeogeography, Palaeoclimatology, Palaeoecology 271:170–181CrossRefGoogle Scholar
  23. Jensen J, Jungho I, Hardin P, Jensen R (2009) Image classification. Pages 269–281. In: Warner T, Nellism M, Foody G (eds) The sage handbook of remote sensing. Sage Publications Inc., London, p 504Google Scholar
  24. Knight RL, Landres PB (1998) Stewardship across boundaries. Island Press, Washington DC, p 371Google Scholar
  25. Logan J, Mcfarlane W, Wilcox L (2010) Whitebark pine vulnerability to climate change induced mountain pine beetle disturbance in the Greater Yellowstone Ecosystem. Ecological Applications 20:895–902CrossRefGoogle Scholar
  26. Lund R, Li B (2009) Revisiting climate region definitions via clustering. Journal of Climate 22:1787–1800CrossRefGoogle Scholar
  27. McMenamin SK, Hadly EA, Wright CK (2008) Climatic change and wetland desiccation cause amphibian decline in Yellowstone National Park. Proceedings of the National Academy of Sciences 105:16988–16993CrossRefGoogle Scholar
  28. National Park Service (2009) Program brief: inventory and monitoring program. Accessed online 19 May 2011
  29. National Park Service (2010) National park service climate change response strategy. National park service climate change response program. Accessed online 19 May 2011
  30. National Research Council (2002) Ecological dynamics on Yellowstone’s northern range. National Academy Press, Washington DC, p 180Google Scholar
  31. Neal RA, Phillips ID (2009) Summer daily precipitation variability over the east Anglian region of Great Britain. International Journal of Climatology 29:1661–1679CrossRefGoogle Scholar
  32. Pederson GT, Gray ST, Ault T, Marsh W, Fagre DB, Bunn AG, Graumlich LJ (2010) Climatic controls on trends and variability in snowmelt hydrology of the northern Rocky Mountains. Journal of Climate, In reviewGoogle Scholar
  33. R Development Core Team (2009) R, A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0.
  34. Serrano A, Garcia J, Mateos V, Cancillo M, Garrido J (1999) Monthly modes of variation of precipitation over the Iberian Peninsula. Journal of Climate 12:2894–2919CrossRefGoogle Scholar
  35. Shafer SL, Bartlein PJ, Whitlock C (2005) Understanding the spatial heterogeneity of global environmental change in mountain regions. Pages 21–30. In: Huber UM, Bugman HKM, Reasoner MA (eds) Global change and mountain regions, an overview of current knowledge. Springer, Dordrecht, p 650Google Scholar
  36. Sheskin DJ (2007) Handbook of parametric and non-parametric statistical procedures. Chapman and Hall/CRC, New YorkGoogle Scholar
  37. Shimodaira H (2002) An approximately unbiased test of phylogenetic tree selection. Systematic Biology 51:492–508CrossRefGoogle Scholar
  38. Soltis PS, Soltis DE (2003) Applying the bootstrap in phylogeny reconstruction. Statistical Science 18:256–257CrossRefGoogle Scholar
  39. Suzuki R, Shimodaira H (2006) Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics 22:1540–1542CrossRefGoogle Scholar
  40. Tercek MT (2010) Climate zonation analysis for Glacier National Park, Rocky Mountain National Park, Great Sand Dunes National Park, Little Bighorn Battlefield National Monument, Grant-Kohrs Ranch National Historic Site, and Florissant Fossil Beds National Monument. Unpublished report submitted to the National Park Service’s Rocky Mountain Network, a division of the Inventory and Monitoring Program. Accessed online 25 Sep 2011
  41. Tso B, Mather P (2009) Classification methods for remotely sensed data. CRC Press, Boca Raton, p 332CrossRefGoogle Scholar
  42. Unal Y, Kindap T, Karaca M (2003) Redefining the climate zones of Turkey using cluster analysis. International Journal of Climatology 23:1045–1055CrossRefGoogle Scholar
  43. U.S. Fish and Wildlife Service (2010) The right science in the right places: Landscape conservation cooperatives. Conservation in action fact sheet, May 2010. U.S. Fish and Wildlife Service, Washington DC. Accessed online 19 May 2011
  44. Van Cooten S, Elmore KL, Barbe DE, McCorquodale JA, Reed DJ (2009) A statistical method to discover precipitation microclimates in southeast Louisiana: implications for coastal watersheds. Journal of Hydrometeorology 10:1184–1202CrossRefGoogle Scholar
  45. Vose RS, Easterling D, Gleason B (2005) Maximum and minimum temperature trends for the globe: an update through 2004. Geophysical Research Letters 32:L23822CrossRefGoogle Scholar
  46. White PJ, Proffitt KM, Mech LD, Evans SB, Cunningham JA, Hamlin KL (2010) Migration of northern Yellowstone elk: implications of spatial structuring. Journal of Mammalogy 91:827–837CrossRefGoogle Scholar
  47. Whitlock C, Bartlein P (1993) Spatial variations in holocene climatic change within the Yellowstone region. Quaternary Research 39:231–238CrossRefGoogle Scholar
  48. Williams JW, Jackson ST, Kutzbach JE (2007) Projected distributions of novel and disappearing climates by 2100 AD. Proceedings of the National Academy of Sciences 104:5738–5742CrossRefGoogle Scholar
  49. Wilmers CC, Getz WM (2005) Gray wolves as climate change buffers in Yellowstone. PLoS Biology 3:571–576CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Michael T. Tercek
    • 1
    • 2
    Email author
  • Stephen T. Gray
    • 3
    • 4
  • Christopher M. Nicholson
    • 3
    • 4
  1. 1.Walking Shadow EcologyGardinerUSA
  2. 2.Big Sky InstituteMontana State UniversityBozemanUSA
  3. 3.Department of Civil and Architectural EngineeringUniversity of WyomingLaramieUSA
  4. 4.Water Resources Data System and Wyoming State Climate OfficeUniversity of WyomingLaramieUSA

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