Mountain landscapes offer few opportunities for high-elevation tree species migration

Global Change Biology

Volumn 20, Issue 5, 2014, Pages 1441-1451

  Bell, David M ^a   Bradford, John B ^b   Lauenroth, William K ^a  

^a UNIVERSITY OF WYOMING   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

Author keywords

Climate change; Demography; Dominance; Forest inventory and analysis; Productivity; Suitability; Tree species; Upslope migration

Indexed keywords

BIOLOGICAL PRODUCTION; CLIMATE CHANGE; CONIFEROUS FOREST; DEMOGRAPHY; DOMINANCE; FOREST INVENTORY; HABITAT LOSS; LANDSCAPE STRUCTURE; MOUNTAIN REGION; POPULATION DISTRIBUTION; POPULATION MIGRATION; POPULATION MODELING; RECRUITMENT (POPULATION DYNAMICS); TREE;

UNITED STATES;

PINUS PONDEROSA;

BIOLOGICAL MODEL; CLIMATE; CLIMATE CHANGE; FOREST; PHYSIOLOGY; PINACEAE; PLANT DISPERSAL; SPECIES DIFFERENCE; TREE; UNITED STATES;

CLIMATE; CLIMATE CHANGE; FORESTS; MODELS, BIOLOGICAL; PINACEAE; PLANT DISPERSAL; SPECIES SPECIFICITY; TREES; UNITED STATES;

EID: 84898453312     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.12504     Document Type: Article

References (68)

1. Allen RB, Peet RK (1990) Gradient analysis of forests of the Sangre de Cristo Range, Colorado. Canadian Journal of Botany, 68, 193-201.
2. Allen CD, Macalady AK, Chenchouni H et al. (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management, 259, 660-684.
3. Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43, 1223-1232.
4. Ashcroft MB (2010) Identifying refugia from climate change. Journal of Biogeography, 37, 1407-1413.
5. Austin MP, Van Niel KP (2011) Improving species distribution models for climate change studies: variable selection and scale. Journal of Biogeography, 38, 1-8.
6. Bailey RG (1995) Description of the Ecoregions of the United States (2nd edn, rev. and enl). United States Department of Agriculture, Miscellaneous Publication, no. 1391, Washington, DC, USA.
7. Bell DM, Bradford JB, Lauenroth WK (2014) Early indicators of change: divergent climate envelopes among tree life stages imply range shifts in the western United States. Global Ecology and Biogeography, 23, 168-180.
8. Bishop DA, Beier CM (2013) Assessing uncertainty in high-resolution spatial climate data across the US northeast. PLoS One, 8, e70260.
9. Boucher-Lalonde V, Morin A, Currie DJ (2012) How are tree species distributed in climatic space? a simple and general pattern. Global Ecology and Biogeography, 21, 1157-1166.
10. Breshears DD, Cobb NS, Rich PM et al. (2005) Regional vegetation die-off in response to global-change-type drought. Proceedings of the National Academy of Sciences of the United States of America, 102, 15144-15148.
11. Brown PM, Wu R (2005) Climate and disturbance forcing of episodic tree recruitment in a southwestern ponderosa pine landscape. Ecology, 86, 3030-3038.
12. Bucklin DN, Watling JI, Speroterra C, Brandt LA, Mazzotti FJ, Romañach SS (2012) Climate downscaling effects on predictive ecological models: a case study for threatened and endangered vertebrates in the southeastern United States. Regional Environmental Change, 13, 57-68.
13. Burns RM, Honkala BH (1990) Silvics of North America, volume 1, Conifers. Agriculture Handbook, Washington No. 654.
14. Christensen JH, Hewitson B, Busuioc A et al. (2007) Regional climate projections. In: Climate Change 2007: The Physical Science Basis.. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Climate Change. Solomon S, Qin D, Mannin M, Averyt KB, Tignor M, Miller HL, pp. 847-940. Cambridge University Press, Cambridge, UK and New York, NY.
15. Clark JS (2005) Why environmental scientists are becoming bayesians. Ecology Letters, 8, 2-14.
16. Clark JS (2007) Models for Ecological Data: An Introduction. Princeton University Press, Princeton, NJ, USA.
17. Clark JS, Bell DM, Hersh MH, Nichols L (2011) Climate change vulnerability of forest biodiversity: climate and competition tracking of demographic rates. Global Change Biology, 17, 1834-1849.
18. Davis MB, Shaw RG (2001) Range shifts and adaptive responses to quaternary climate change. Science, 292, 673-679.
19. Dobrowski SZ, Abatzoglou J, Swanson AK, Greenberg JA, Mynsberge AR, Holden ZA, Schwartz MK (2012) The climate velocity of the contiguous United States during the 20th century. Global Change Biology, 19, 241-251.
20. Dolanc CR, Thorne JH, Safford HD (2012) Widespread shifts in the demographic structure of subalpine forests in the Sierra Nevada, California, 1934 to 2007. Global Ecology and Biogeography, 22, 264-276.
21. Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology and Systematics, 40, 677-697.
22. Franklin J, Davis FW, Ikegami M, Syphard AD, Flint LE, Hannah L (2013) Modeling plant species distributions under future climates: how fine scale do climate projections need to be? Global Change Biology, 19, 473-483.
23. Gelfand AE, Ghosh SK (1998) Model choice: a minimum posterior predictive loss approach. Biometrika, 85, 1-11.
24. Graham RL, Turner MG, Dale VH (1990) How increasing CO2 and climate change affect forests. BioScience, 40, 575-587.
25. Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
26. Hansen AJ, Neilson RP, Dale VH et al. (2001) Global change in forests: responses of species, communities, and biomes. BioScience, 51, 765-779.
27. Ibáñez I, Clark JS, Dietze MC et al. (2006) Predicting biodiversity change: outside the climate envelope, beyond the species-area curve. Ecology, 87, 1896-1906.
28. Iverson LR, Schwartz MW, Prasad AM (2004) How fast and far might tree species migrate in the eastern United States due to climate change? Global Ecology and Biogeography, 13, 209-219.
29. Iverson LR, Prasad AM, Matthews SN (2008) Estimating potential habitat for 134 eastern US tree species under six climate scenarios. Forest Ecology and Management, 254, 390-406.
30. Jackson ST, Betancourt JL, Booth RK, Gray ST (2009) Ecology and the ratchet of events: climate variability, niche dimensions, and species distributions. Proceedings of the National Academy of Sciences of the United States of America, 106, 19685-19692.
31. Landhäusser SM, Deshaies D, Lieffers VJ (2010) Disturbance facilitates rapid range expansion of aspen into higher elevations of the Rocky Mountains under a warming climate. Journal of Biogeography, 37, 68-76.
32. Lenihan JM, Bachelet D, Nelson RP, Drapek R (2008) Response of vegetation distribution, ecosystem productivity, and fire to climate change scenarios for California. Climate Change, 87, S215-S230.
33. Lenoir J, Gégout J-C, Pierrat J-C, Bontemps J-D, Dhôte J-F (2009) Differences between tree species seedling and adult altitudinal distribution in mountain forests during the recent warm period (1986-2006). Ecography, 32, 765-777.
34. Lenoir J, Graae BJ, Aarrestad PA et al. (2013) Local temperatures inferred from plant communities suggest strong spatial buffering of climate warming across northern Europe. Global Change Biology, 19, 1470-1481.
35. Loarie SR, Duffy PB, Hamilton H, Asner GP, Field CB, Ackerly DD (2009) The velocity of climate change. Nature, 462, 1052-1055.
36. Lukac M, Calfapietra C, Lagomarsino A, Loreto F (2010) Global climate change and tree nutrition: effects of elevated CO2 and temperature. Tree Physiology, 30, 1209-1220.
37. Ma Z, Peng C, Zhu Q et al. (2012) Regional drought-induced reduction in the biomass carbon sink of Canada's boreal forests. Proceedings of the National Academy of Sciences of the United States of America, 109, 2423-2427.
38. Macias-Fauria M, Johnson EA (2013) Warming-induced upslope advance of subalpine forest is severely limited by geomorphic processes. Proceedings of the National Academy of Sciences of the United States of America, 110, 8117-8122.
39. Maurer EP, Brekke L, Pruitt T, Duffy PB (2007) Fine-resolution climate projections enhance regional climate change impact studies. Eos, Transactions American Geophysical Union, 88, 504.
40. McLachlan JS, Clark JS, Manos PS (2005) Molecular indicators of tree migration capacity under rapid climate change. Ecology, 86, 2088-2098.
41. Meier ES, Lischke H, Schmatz DR (2011) Climate, competition and connectivity affect future migration and ranges of European trees. Global Ecology and Biogeography, 21, 164-178.
42. Morin X, Thuiller W (2009) Comparing niche- and process-based models to reduce prediction uncertainty in species range shifts under climate change. Ecology, 90, 1301-1313.
43. Morin X, Augspurger C, Chuine I (2007) Process-based modeling of species' distributions: what limits temperature tree species' range boundaries? Ecology, 88, 2280-2291.
44. Pagel J, Schurr FM (2011) Forecasting species ranges by statistical estimation of ecological niches and spatial population dynamics. Global Ecology and Biogeography, 21, 293-304.
45. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421, 37-42.
46. Pearson RG, Dawson TP (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12, 361-371.
47. Peet R (1981) Forest vegetation of the Colorado Front Range. Vegetatio, 45, 3-75.
48. Purves DW (2009) The demography of range boundaries versus range cores in eastern US tree species. Proceedings of the Royal Society B, 276, 1477-1484.
49. R Development Core Team (2010) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org (accessed 1 September 2013).
50. Randin CF, Dirnböck T, Dullinger S, Zimmermann NE, Zappa M, Guisan A (2006) Are niche-based species distribution models transferable in space? Journal of Biogeography, 33, 1689-1703.
51. Randin CF, Engler R, Normand S et al. (2009) Climate change and plant distribution: local models predict high-elevation persistence. Global Change Biology, 15, 1557-1569.
52. Rehfeldt GE, Crookston NL, Warwell MV, Evans JS (2006) Empirical analyses of plant-climate relationships for the western United States. International Journal of Plant Sciences, 167, 1123-1150.
53. Schrag AM, Bunn AG, Graumlich LJ (2008) Influence of bioclimatic variables on tree-line conifer distribution in the greater yellowstone ecosystem: implications for species of conservation concern. Journal of Biogeography, 35, 698-710.
54. Shafer SL, Bartlein PJ, Thompson RS (2001) Potential changes in the distributions of western north America tree and shrub taxa under future climate scenarios. Ecosystems, 4, 200-215.
55. Staver AC, Archibald S, Levin SA (2011) The global extent and determinants of savanna and forest as alternative biome states. Science, 334, 230-232.
56. Thuiller W, Lavorel S, Araujo MB (2005) Niche properties and geographical extent as predictors of species sensitivity to climate change. Global Ecology and Biogeography, 14, 347-357.
57. Thuiller W, Albert C, Araujo MB et al. (2008) Predicting global change impacts on plant species' distributions: future challenges. Perspectives in Plant Ecology, Evolution and Systematics, 9, 137-152.
58. Trivedi MR, Berry PM, Morecroft MD, Dawson TP (2008) Spatial scale affects bioclimate model projections of climate change impacts on mountain plants. Global Change Biology, 14, 1089-1103.
59. US Geological Survey (2011) Gap Analysis Program (GAP) National Land Cover, Version 2. http://gapanalysis.usgs.gov/ (accessed 5 August 2010).
60. Van Couwenberghe R, Collet C, Pierrat J-C, Verheyen K, Gégout J-C (2012) Can species distribution models be used to describe plant abundance patterns? Ecography, 36, 665-674.
61. Van Mantgem PJ, Stephenson NL, Byrne JC et al. (2009) Widespread increase of tree mortality rates in the western United States. Science, 323, 521-524.
62. Vanderwel MC, Lyutsarev VS, Purves DW (2013) Climate-related variation in mortality and recruitment determine regional forest-type distributions. Global Ecology and Biogeography, 22, 1192-1203.
63. Vitasse Y, Hoch G, Randin CF, Lenz A, Kollas C, Korner C (2012) Tree recruitment of European tree species at their current upper elevational limits in the Swiss Alps. Journal of Biogeography, 39, 1439-1449.
64. Walther G-R, Post E, Convey P et al. (2002) Ecological responses to recent climate change. Nature, 416, 389-395.
65. Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW (2006) Warming and earlier spring increase western US forest wildfire activity. Science, 313, 940-943.
66. Woudenberg SW, Conkling BL, O'Connell BM (2010) The Forest Inventory and Analysis Database: Database Description and Users Manual Version 4.0 for Phase 2. CO, Gen. Tech. Rep. RMRS- GTR-245, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins.
67. Zell J, Kändler G, Hanewinkel M (2009) Predicting constant decay rates of coarse woody debris-a meta-analysis approach with a mixed model. Ecological Modelling, 220, 904-912.
68. Zhu K, Woodall CW, Clark JS (2012) Failure to migrate: lack of tree range expansion in response to climate change. Global Change Biology, 18, 1042-1052.