Advertisement

Assessing Vulnerability to Land Use and Climate Change at Landscape Scales Using Landforms and Physiographic Diversity as Coarse-Filter Targets

  • David M. Theobald
  • William B. Monahan
  • Dylan Harrison-Atlas
  • Andrew J. Hansen
  • Patrick Jantz
  • John E. Gross
  • S. Thomas Olliff
Chapter

Abstract

In this chapter, we examine how climate change will likely affect areas of the Great Northern Landscape Conservation Cooperative (Great Northern LCC), but rather than using a fine-filter approach that focuses on a particular species, as has been done in many of the other chapters (e.g., chaps. 9, 10, and 12), we have applied a coarse-filter approach with which we consider our conservation targets to be broader levels of biodiversity. A coarse-filter approach focuses not on an individual species but, rather, on the community that supports a species (Noss 1987) or even on the physical environments as “arenas” of biological activity (Hunter, Jacobson, and Webb 1988). More recently, coarse-filter conservation has been interpreted in a climate change context, in which coarse-filter strategies seek to conserve sites that are minimally affected by climate change (Tingley, Darling, and Wilcove 2014).

Keywords

Adaptive Capacity Couple Model Intercomparison Project Phase Representative Concentration Pathway Conservation Target Riparian Corridor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Beier P, Brost B (2010) Use of land facets to plan for climate change: Conserving the arenas, not the actors. Conservation Biology 24:701–710CrossRefGoogle Scholar
  2. Chambers, N., G. Tabor, Y. Converse, T. Olliff, S. Finn, R. Sojda, and S. Bischke. 2013. The Great Northern Landscape Conservation Cooperative Strategic Conservation Framework. Unpublished report.Google Scholar
  3. Chen C, Hill JK, Ohlemuller R, Roy DB, Thomas CD (2011) Rapid range shifts of species associated with high levels of climate warming. Science 333:1024–1026CrossRefGoogle Scholar
  4. Clement JP, Belin A, Bean MJ, Boling TA, Lyons JR (2014) A Strategy for Improving the Mitigation Policies and Practices of the Department of the Interior., A report to the Secretary of the Interior from the Energy and Climate Change Task Force, Washington, DCGoogle Scholar
  5. Dickson BG, Beier P (2002) Home-range and habitat selection by adult cougars in southern California. Journal of Wildlife Management 66:1235–1245CrossRefGoogle Scholar
  6. Dobrowski SZ (2010) A climatic basis for microrefugia: The influence of terrain on climate. Global Change Biology. doi: 10.1111/j.13652486.2010.02263.xGoogle Scholar
  7. Elvidge CD, Baugh K, Zhizhin M, Hsu FC (2013) Why VIIRS data are superior to DMSP for mapping nighttime lights. Proceedings of the Asia-Pacific Advanced Network 35:62–69CrossRefGoogle Scholar
  8. Finn, S., Y. Converse, T. Olliff, M. Heller, R. Sojda, E. Beever, S. Pierluissi, J. Watkins, N. Chambers, and S. Bischke. 2015. Great Northern Landscape Conservation Cooperative Science Plan, 2015–2019. Unpublished report.Google Scholar
  9. Glick P, Stein BA, Edelson NA (eds) (2011) Scanning the Conservation Horizon: A Guide to Climate Change Vulnerability Assessment. National Wildlife Federation, Washington, DCGoogle Scholar
  10. Guisan A, Weiss SB, Weiss AD (1999) GLM versus CCA spatial modeling of plant species distribution. Plant Ecology 143:107–122CrossRefGoogle Scholar
  11. Hamann A, Roberts DR, Barber QE, Carroll C, Nielsen SE (2015) Velocity of climate change algorithms for guiding conservation and management. Global Change Biology 31:997–1004CrossRefGoogle Scholar
  12. Hansen AJ, Davis CR, Piekielek N, Gross J, Theobald DM, Goetz S, Melton F, DeFries R (2011) Delineating the ecosystems containing protected areas for monitoring and management. BioScience 61(5):363–373CrossRefGoogle Scholar
  13. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965–1978CrossRefGoogle Scholar
  14. Hunter ML, Jacobson GL, Webb T (1988) Paleoecology and the coarse-filter approach to maintaining biological diversity. Conservation Biology 2:375–385CrossRefGoogle Scholar
  15. Klausmeyer KR, Shaw MR, MacKenzie JB, Cameron DR (2011) Landscape-scale indicators of biodiversity’s vulnerability to climate change. Ecosphere 2(8):88CrossRefGoogle Scholar
  16. Laliberte AS, Ripple WJ (2004) Range contractions of North American carnivores and ungulates. BioScience 54(2):123–138CrossRefGoogle Scholar
  17. Loarie SR, Duffy PB, Hamilton H, Asner GP, Field CB, Ackerly DD (2009) The velocity of climate change. Nature 462:1052–1055CrossRefGoogle Scholar
  18. McCune B, Keon D (2002) Equations for potential annual direct incident radiation and heat load. Journal for Vegetation Science 13(4):603–606CrossRefGoogle Scholar
  19. North American Land Change Monitoring System (2013) 2010 land cover of North America at 250 meters., https://www.sciencebase.gov/catalog/item/54a19635e4b0bb7b6f9a1a55Google Scholar
  20. Noss RF (1987) From plant communities to landscapes in conservation inventories: A look at The Nature Conservancy (USA). Biological Conservation 41:11–37CrossRefGoogle Scholar
  21. Noss RF, Quigley HB, Hornocker MG, Merrill T, Paquet PC (1996) Conservation biology and carnivore conservation in the Rocky Mountains. Conservation Biology 10(4):949–963CrossRefGoogle Scholar
  22. Oyler JW, Ballantyne A, Jencso K, Sweet M, Running SW (2014) Creating a topoclimatic daily air temperature dataset for the conterminous United States using homogenized station data and remotely sensed land skin temperature. International Journal of Climatology. doi: 10.1002/joc.4127Google Scholar
  23. Rehfeldt GE, Crookston NL, Saenz-Romero C, Campbell EM (2012) North American vegetation model for land-use planning in a changing climate: A solution to large classification problems. Ecological Applications 221(1):119–141CrossRefGoogle Scholar
  24. Soller DR, Reheis MC, Garrity CP, Van Sistine DR (2009) Map database for surficial materials in the conterminous United States US Geological Survey Data Series:425Google Scholar
  25. Stats Canada (2014) Census population and dwelling counts, for Canada, provinces, and territories, 2011 and 2006 censuses., http://www12.statcan.gc.ca/census-recensement/index-eng.cfmGoogle Scholar
  26. Stein BA, Glick P, Edelson N, Staudt A (eds) (2014) Climate-Smart Conservation: Putting Adaptation Principles into Practice. National Wildlife Federation, Washington, DCGoogle Scholar
  27. Theobald DM (2010) Estimating changes in natural landscapes from 1992 to 2030 for the conterminous United States. Landscape Ecology 25(7):999–1011CrossRefGoogle Scholar
  28. Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-relevant maps of landforms and physiographic diversity for climate adaptation planning. PLOS ONE 10(12), e0143619. doi: 10.1371/journal.pone.0143619CrossRefGoogle Scholar
  29. Tingley MW, Darling ES, Wilcove DS (2014) Fine- and coarse-filter conservation strategies in a time of climate change. Annals of the New York Academy of Sciences 1322:92–109CrossRefGoogle Scholar
  30. Tomback DF, Arno SF, Keane RE (2001) Whitebark Pine Communities: Ecology and Restoration. Island Press, Washington, DCGoogle Scholar
  31. Watson JEM, Iwamura T, Butt N (2013) Mapping vulnerability and conservation adaptation strategies under climate change. Nature Climate Change. doi: 10.1038/NCLIMATE2007Google Scholar

Copyright information

© Island Press 2016

Authors and Affiliations

  • David M. Theobald
  • William B. Monahan
  • Dylan Harrison-Atlas
  • Andrew J. Hansen
  • Patrick Jantz
  • John E. Gross
  • S. Thomas Olliff

There are no affiliations available

Personalised recommendations