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Climate change may restrict dryland forest regeneration in the 21st century
Corresponding Author
M. D. Petrie
US Geological Survey, Southwest Biological Science Center, Room #202, 525 S. Beaver Street #5614, Flagstaff, Arizona, 86011 USA
Department of Plant and Environmental Sciences, New Mexico State University, MSC 3JER, Las Cruces, New Mexico, 88003 USA
E-mail: [email protected]Search for more papers by this authorJ. B. Bradford
US Geological Survey, Southwest Biological Science Center, Room #202, 525 S. Beaver Street #5614, Flagstaff, Arizona, 86011 USA
Search for more papers by this authorR. M. Hubbard
USDA Forest Service, Rocky Mountain Research Station, 240 West Prospect Road, Fort Collins, Colorado, 80526 USA
Search for more papers by this authorW. K. Lauenroth
School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut, 06511 USA
Search for more papers by this authorC. M. Andrews
US Geological Survey, Southwest Biological Science Center, Room #202, 525 S. Beaver Street #5614, Flagstaff, Arizona, 86011 USA
Search for more papers by this authorD. R. Schlaepfer
Section of Conservation Biology, Department of Environmental Sciences, University of Basel, St. Johanns-Vorstadt 10, CH-4056 Basel, Switzerland
Search for more papers by this authorCorresponding Author
M. D. Petrie
US Geological Survey, Southwest Biological Science Center, Room #202, 525 S. Beaver Street #5614, Flagstaff, Arizona, 86011 USA
Department of Plant and Environmental Sciences, New Mexico State University, MSC 3JER, Las Cruces, New Mexico, 88003 USA
E-mail: [email protected]Search for more papers by this authorJ. B. Bradford
US Geological Survey, Southwest Biological Science Center, Room #202, 525 S. Beaver Street #5614, Flagstaff, Arizona, 86011 USA
Search for more papers by this authorR. M. Hubbard
USDA Forest Service, Rocky Mountain Research Station, 240 West Prospect Road, Fort Collins, Colorado, 80526 USA
Search for more papers by this authorW. K. Lauenroth
School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut, 06511 USA
Search for more papers by this authorC. M. Andrews
US Geological Survey, Southwest Biological Science Center, Room #202, 525 S. Beaver Street #5614, Flagstaff, Arizona, 86011 USA
Search for more papers by this authorD. R. Schlaepfer
Section of Conservation Biology, Department of Environmental Sciences, University of Basel, St. Johanns-Vorstadt 10, CH-4056 Basel, Switzerland
Search for more papers by this authorAbstract
The persistence and geographic expansion of dryland forests in the 21st century will be influenced by how climate change supports the demographic processes associated with tree regeneration. Yet, the way that climate change may alter regeneration is unclear. We developed a quantitative framework that estimates forest regeneration potential (RP) as a function of key environmental conditions for ponderosa pine, a key dryland forest species. We integrated meteorological data and climate projections for 47 ponderosa pine forest sites across the western United States, and evaluated RP using an ecosystem water balance model. Our primary goal was to contrast conditions supporting regeneration among historical, mid-21st century and late-21st century time frames. Future climatic conditions supported 50% higher RP in 2020–2059 relative to 1910–2014. As temperatures increased more substantially in 2060–2099, seedling survival decreased, RP declined by 50%, and the frequency of years with very low RP increased from 25% to 58%. Thus, climate change may initially support higher RP and increase the likelihood of successful regeneration events, yet will ultimately reduce average RP and the frequency of years with moderate climate support of regeneration. Our results suggest that climate change alone may begin to restrict the persistence and expansion of dryland forests by limiting seedling survival in the late 21st century.
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Literature Cited
- Aitken, S., S. Yeaman, J. Holliday, T. Wang, and S. Curtis-McLane. 2008. Adaptation, migration or extirpation: climate change outcomes for tree populations. Evolutionary Applications 1: 95–111.
- Allen, C., 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.
- Bell, D., J. Bradford, and W. Lauenroth. 2014a. Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States. Global Ecology and Biogeography 23: 168–180.
- Bell, D., J. Bradford, and W. Lauenroth. 2014b. Mountain landscapes offer few opportunities for high-elevation tree species migration. Global Change Biology 20: 1441–1451.
- Bradford, J., D. Schlaepfer, and W. Lauenroth. 2014. Ecohydrology of adjacent sagebrush and lodgepole pine ecosystems: the consequences of climate change and disturbance. Ecosystems 17: 590–605.
- Breshears, D. D., et al. 2005. Regional vegetation die-off in response to global-change-type drought. Proceedings of the National Academy of Sciences USA 102: 15144–15148.
- Briggs, J., T. Hawbaker, and D. Vandendriesche. 2015. Resilience of ponderosa and lodgepole pine forests to mountain pine beetle disturbance and limited regeneration. Forest Science 61: 689–702.
- Brown, P., and R. Wu. 2005. Climate and disturbance forcing of episodic tree recruitment in a southwestern ponderosa pine landscape. Ecology 86: 3030–3038.
- Comer, P., et al. 2003. Ecological systems of the United States: a working classification of U.S. terrestrial systems. NatureServe, Arlington, Virginia, USA.
- Coops, N., R. Waring, and B. Law. 2005. Assessing the past and future distribution and productivity of ponderosa pine in the Pacific Northwest using a process model, 3-PG. Ecological Modelling 183: 107–124.
- Critchfield, W., and L. Elbert. 1966. Geographic distribution of the pines of the world. Pages 1–97. Miscellaneous Publication 991, U.S. Department of Agriculture, Washington, D.C., USA.
- Elliott, K., and A. White. 1987. Competitive effects of various grasses and forbs on ponderosa pine-seedlings. Forest Science 33: 356–366.
- Feddema, J., J. Mast, and M. Savage. 2013. Modeling high-severity fire, drought and climate change impacts on ponderosa pine regeneration. Ecological Modelling 253: 56–69.
- Flathers, K., T. Kolb, J. Bradford, K. Waring, and W. Moser. 2016. Long-term thinning alters ponderosa pine reproduction in northern Arizona. Forest Ecology and Management 374: 154–165.
- Gaylord, M., T. Kolb, W. Pockman, J. Plaut, E. Yepez, A. Macalady, R. Pangle, and N. McDowell. 2013. Drought predisposes pinon-juniper woodlands to insect attacks and mortality. New Phytologist 198: 567–578.
- Goodwin, K. 2004. Modeling natural regeneration of ponderosa pines on the Coconino National Forest in Arizona. Dissertation. Page 129. Northern Arizona University, Flagstaff, Arizona, USA.
- Google Earth. 2016. Imagery of the western United States. Google Inc. http://maps.google.com
- Grant, M., Y. Linhart, and R. Monson. 1989. Experimental studies of ponderosa pine 2. Quantitative genetics of morphological traits. American Journal of Botany 76: 1033–1040.
- Greene, D., and E. Johnson. 2004. Modelling the temporal variation in the seed production of North American trees. Canadian Journal of Forest Research 34: 65–75.
- Grubb, P. 1977. Maintenance of species-richness in plant communities – importance of regeneration niche. Biological Reviews of the Cambridge Philosophical Society 52: 107–145.
- Guisan, A., and W. Thuiller. 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters 8: 993–1009.
- Guisan, A., and N. Zimmermann. 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135: 147–186.
- Hare, R. 1961. Heat effects on live plants. Occasional Paper 183, USDA Forest Service, SFES.
- Heidmann, L. 1981. Overcoming temperature-dependent dormancy of southwestern ponderosa pine seed. Page 4. Research Note, RM-406, U.S. Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado, USA.
- Heidmann, L. 1998. Forest regeneration research at Fort Valley. RMRS-P-55, Pages 25–37. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado, USA.
- Heidmann, L., and R. King. 1992. Effect of prolonged drought on water relations of ponderosa pine seedlings grown in basalt and sedimentary soils. Page 8. Res. Pap. RM-301, U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, Colorado, USA.
- Hungerford, R., and R. Babbitt. 1987. Overstory removal and residue treatments affect soil surface, air, and soil temperature: implications for seedling survival. Page 19. Research Paper INT-377, USDA Forest Service, Ogden, Utah, USA.
- Hurteau, M., J. Bradford, P. Fule, A. Taylor, and K. Martin. 2014. Climate change, fire management, and ecological services in the southwestern US. Forest Ecology and Management 327: 280–289.
- Ichie, T., S. Igarashi, S. Yoshida, T. Kenzo, T. Masaki, and I. Tayasu. 2013. Are stored carbohydrates necessary for seed production in temperate deciduous trees? Journal of Ecology 101: 525–531.
- IPCC. 2013. Climate change 2013: I. The physical science basis. Cambridge University Press, London, UK.
- Jentsch, A., and C. Beierkuhnlein. 2008. Research frontiers in climate change: effects of extreme meteorological events on ecosystems. Comptes Rendus Geoscience 340: 621–628.
- Katz, R., and B. Brown. 1992. Extreme events in a changing climate – variability is more important than averages. Climatic Change 21: 289–302.
- Larson, M. 1961. Seed size, germination dates, and survival relationships of ponderosa pine in the Southwest. Page 4. RMRS Res. Note 66, USDA Forest Service, Fort Collins, Colorado, USA.
- Larson, M. 1967. Effect of temperature on initial development of ponderosa pine seedlings from three tree sources. Forest Science 13: 286–294.
- Larson, M., and G. H. Schubert. 1969. Effect of osmotic water stress on germination and initial development of ponderosa pine seedlings. Forest Science 15: 30–36.
- Little, E. 1971. Atlas of United States trees, volume 1, conifers and important hardwoods. Pages 1–9. Miscellaneous Publication 1146, U.S. Department of Agriculture.
10.5962/bhl.title.130546 Google Scholar
- Mast, J., P. Fule, M. Moore, W. Covington, and A. Waltz. 1999. Restoration of presettlement age structure of an Arizona ponderosa pine forest. Ecological Applications 9: 228–239.
- Maurer, E., L. Brekke, T. Pruitt, and P. Duffy. 2007. Fine-resolution climate projections enhance regional climate change impact studies. Eos, Transactions, American Geophysical Union 88: 504.
10.1029/2007EO470006 Google Scholar
- McDowell, N. 2011. Mechanisms linking drought, hydraulics, carbon metabolism, and vegetation mortality. Plant Physiology 155: 1051–1059.
- Monson, R., and M. Grant. 1989. Experimental studies of ponderosa pine. III. Differences in photosynthesis, stomatal conductance, and water-use efficiency between two genetic lines. American Journal of Botany 76: 1041–1047.
- Montes-Helu, M., T. Kolb, S. Dore, B. Sullivan, S. Hart, G. Koch, and B. Hungate. 2009. Persistent effects of fire-induced vegetation change on energy partitioning and evapotranspiration in ponderosa pine forests. Agricultural and Forest Meteorology 149: 491–500.
- Moss, R., et al. 2010. The next generation of scenarios for climate change research and assessment. Nature 463: 747–756.
- Norris, J., S. Jackson, and J. Betancourt. 2006. Classification tree and minimum-volume ellipsoid analyses of the distribution of ponderosa pine in the western USA. Journal of Biogeography 33: 342–360.
- Parker, T., K. Clancy, and R. Mathiasen. 2006. Interactions among fire, insects and pathogens in coniferous forests of the interior western United States and Canada. Agricultural and Forest Entomology 8: 167–189.
- Pearson, G. 1950. Management of ponderosa pine in the Southwest. Page 218. Monograph 6, USDA, Washington, D.C., USA.
- Pearson, R., and T. Dawson. 2003. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography 12: 361–371.
- Penner, E., and T. Walton. 1979. Effects of temperature and pressure on frost heaving. Engineering Geology 13: 29–39.
- Petrie, M., A. Wildeman, J. Bradford, R. Hubbard, and W. Lauenroth. 2016. A review of precipitation and temperature control on seedling emergence and establishment for ponderosa and lodgepole pine forest regeneration. Forest Ecology and Management 361: 328–338.
- Poorter, L. 2007. Are species adapted to their regeneration niche, adult niche, or both? American Naturalist 169: 433–442.
- Puhlick, J., M. Moore, and A. Weiskittel. 2013. Factors influencing height-age relationships and recruitment of ponderosa pine regeneration in Northern Arizona. Western Journal of Applied Forestry 28: 91–96.
- Rehfeldt, G., B. Jaquish, J. Lopez-Upton, C. Saenz-Romero, J. St Clair, L. Leites, and D. Joyce. 2014a. Comparative genetic responses to climate for the varieties of Pinus ponderosa and Pseudotsuga menziesii: realized climate niches. Forest Ecology and Management 324: 126–137.
- Rehfeldt, G., B. Jaquish, C. Saenz-Romero, D. Joyce, L. Leites, J. St Clair, and J. Lopez-Upton. 2014b. Comparative genetic responses to climate in the varieties of Pinus ponderosa and Pseudotsuga menziesii: reforestation. Forest Ecology and Management 324: 147–157.
- Rehfeldt, G., L. Leites, J. St Clair, B. Jaquish, C. Saenz-Romero, J. Lopez-Upton, and D. Joyce. 2014c. Comparative genetic responses to climate in the varieties of Pinus ponderosa and Pseudotsuga menziesii: clines in growth potential. Forest Ecology and Management 324: 138–146.
- Rehfeldt, R., G. E. Wykoff, and C. Ying. 2001. Physiologic plasticity, evolution, and impacts of a changing climate in Pinus contorta. Climatic Change 50: 355–376.
- Rehfeldt, G., C. Ying, D. Spittlehouse, and D. Hamilton. 1999. Genetic responses to climate in Pinus contorta: niche breadth, climate change, and reforestation. Ecological Monographs 69: 375–407.
- Reichstein, M., et al. 2013. Climate extremes and the carbon cycle. Nature 500: 287–295.
- Riahi, K., S. Rao, V. Krey, C. Cho, V. Chirkov, G. Fischer, G. Kindermann, N. Nakicenovic, and P. Rafaj. 2011. RCP 8.5: a scenario of comparatively high greenhouse gas emissions. Climatic Change 109: 33–57.
- Rother, M., T. Veblen, and L. Furman. 2015. A field experiment informs expected patterns of conifer regeneration after disturbance under changing climate conditions. Canadian Journal of Forest Research 45: 1607–1616.
- Rupp, D., J. Abatzoglou, K. Hegewisch, and P. Mote. 2013. Evaluation of CMIP5 20th century climate simulations for the Pacific Northwest USA. Journal of Geophysical Research – Atmospheres 118: 10884–10906.
- Savage, M., P. Brown, and J. Feddema. 1996. The role of climate in a pine forest regeneration pulse in the southwestern United States. Ecoscience 3: 310–318.
- Savage, M., and J. Mast. 2005. How resilient are southwestern ponderosa pine forests after crown fires? Canadian Journal of Forest Research 35: 967–977.
- Savage, M., J. Mast, and J. Feddema. 2013. Double whammy: high-severity fire and drought in ponderosa pine forests of the Southwest. Canadian Journal of Forest Research 43: 570–583.
- Sayre, R., P. Comer, H. Warner, and J. Cress. 2009. A new map of standardized terrestrial ecosystems of the conterminous United States. Page 17. Professional Paper 1768, U.S. Geological Survey.
- Schlaepfer, D., K. Taylor, V. Pennington, K. Nelson, T. Martyn, C. Rottler, W. Lauenroth, and J. Bradford. 2015. Simulated big sagebrush regeneration supports predicted changes at the trailing and leading edges of distribution shifts. Ecosphere 6. https://doi.org/10.1890/ES14-00208.1
- Schubert, G. 1969. Ponderosa pine regeneration problems in the Southwest. Regeneration of Ponderosa Pine Symposium. Oregon State University, Corvallis, Oregon, USA.
- Sorensen, C., A. Finkral, T. Kolb, and C. Huang. 2011. Short- and long-term effects of thinning and prescribed fire on carbon stocks in ponderosa pine stands in northern Arizona. Forest Ecology and Management 261: 460–472.
- Taylor, K., R. Stouffer, and G. Meehl. 2012. An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society 93: 485–498.
- van Mantgem, P. J., et al. 2009. Widespread increase of tree mortality rates in the western United States. Science 323: 521–524.
- Wagner, R., T. Petersen, D. Ross, and S. Radosevich. 1989. Competition thresholds for the survival and growth of ponderosa pine seedlings associated with woody and herbaceous vegetation. New Forests 3: 151–170.
10.1007/BF00021579 Google Scholar
- Williams Jr., C., R. Vose, D. Easterling, and M. Menne. 2006. United States historical climatology network daily temperature, precipitation, and snow data. Tech. Rep. ORNL/CDIAC-118, NDP-070, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
- Williams, A. P., et al. 2013. Temperature as a potent driver of regional forest drought stress and tree mortality. Nature Climate Change 3: 292–297.
- Zabowski, D., B. Java, G. Scherer, R. Everett, and R. Ottmar. 2000. Timber harvesting residue treatment: Part 1. Responses of conifer seedlings, soils and microclimate. Forest Ecology and Management 126: 25–34.
- Zhang, J., M. Ritchie, D. Maguire, and W. Oliver. 2013. Thinning ponderosa pine (Pinus ponderosa) stands reduces mortality while maintaining stand productivity. Canadian Journal of Forest Research 43: 311–320.