Landscape- and regional-scale shifts in forest composition under climate change in the Central Hardwood Region of the United States
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Tree species distribution and abundance are affected by forces operating at multiple scales. Niche and biophysical process models have been commonly used to predict climate change effects at regional scales, however, these models have limited capability to include site-scale population dynamics and landscape-scale disturbance and dispersal. We applied a landscape modeling approach that incorporated three levels of spatial hierarchy (pixel, landtype, and ecological subsection) to model regional-scale shifts in forest composition under climate change.
To determine (1) how importance value of individual species will change under the PCM B1 and GFDL A1FI modeling scenarios and (2) how overall forest composition at different spatial scales will change under these climate change scenarios in the short, medium, and long term in the Central Hardwood Forest Region (CHFR).
We used LANDIS PRO to predict forest composition changes from 2000 to 2300 accounting for climate change, population dynamics, dispersal, and harvest in the CHFR. We analyzed forest composition shifts under alternative climate scenarios and at multiple spatial scales.
Shifts in forest composition were greater under the GFDL A1FI than the PCM B1 modeling scenarios and were greatest at the scale of ecological sections followed by forest sub-regions and the whole CHFR. Forest composition shifted toward more southern and xeric species and lesser northern and mesic species.
We suggest it is essential to include site- and landscape-scale processes in models and to evaluate changes at multiple spatial and temporal scales when evaluating changes in species composition due to climate change and disturbance.
KeywordsAbundance Harvest Succession Demography LANDIS PRO U.S. Forest Service Inventory and Analysis (FIA) data
This project was funded by the U.S.D.A. Forest Service Northern Research Station and Eastern Region, the Department of Interior USGS Northeast Climate Science Center graduate and post-doctoral fellowships, and the University of Missouri-Columbia.
- Brandt L, He HS, Iverson LR, Thompson FR, Butler P, Handler S, Janowiak M, Shannon DP, Swanston C, Tirpak J, Walk J, Wang W, Watts L, Weigel D, Westin S (2014) Central hardwoods ecosystem vulnerability assessment and synthesis: a report from the central hardwoods climate change response framework project. General Technical. Reports. NRS-124. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station, p 254Google Scholar
- Braun EL (1950) Deciduous forests of Eastern North America. Philadelphia: BlakistonGoogle Scholar
- Burns RM, Honkala BH (tech. Coords.) (1990) Silvics of North America: 1. Conifers; 2. Hardwoods. Agriculture Handbook 654, USDA Forest Service, Washington, D.C., USAGoogle Scholar
- Butler PR, Iverson L, Thompson FR, Brandt L, Handler S, Janowiak M, Shannon PD, Swanston C, Karriker K, Bartig J, Connolly S, Dijak W, Bearer S, Blatt S, Brandon A, Byers E, Coon C, Culbreth T, Daly J, Dorsey W, Ede D, Euler C, Gillies N, Hix DM, Johnson C, Lyte L, Matthews S, McCarthy D, Minney D, Murphy D, O’Dea C, Orwan R, Peters M, Prasad A, Randall C, Reed J, Sandeno C, Schuler T, Sneddon L, Stanley B, Steele A, Stout S, Swaty R, Teets J, Tomon T, Vanderhorst J, Whatley J, Zegre N (2015) Central Appalachians forest ecosystem vulnerability assessment and synthesis: a report from the central Appalachians climate change response framework project. General Technical. Reports. NRS-146. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station, p 310Google Scholar
- Cleland DT, Freeouf JA, Keys JE, Nowacki GJ, Carpenter C, McNab WH (2007) Ecological subregions: sections and subsections of the conterminous United States [1:3,500,000] [CD-ROM]. In: Sloan AM (ed), Cartography General Technical Report WO-76. Washington, DC: U.S. Department of Agriculture, Forest ServiceGoogle Scholar
- Dijak W (2013) Landscape builder: software for the creation of initial landscapes for LANDIS from FIA data. Comput Ecol Softw 3(2):17–25Google Scholar
- IPCC (2007) The Physical Science Basis. 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 (eds Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL). Cambridge UniversityGoogle Scholar
- Little EL Jr (1971) Atlas of United States trees, volume 1, conifers and important hardwoods: U.S. Department of Agriculture Miscellaneous Publication 1146, p 9, 200 mapsGoogle Scholar
- McNab WH, Cleland DT, Freeouf JA, Keys JE, Nowacki GJ, Carpenter CA (2007). Description of “ecological subregions: section of the conterminous United States”. USDA Forest Service General Technical Report WO-76B, pp 1–57Google Scholar
- National Oceanic and Atmospheric Administration-National Climatic Data Center (NOAA-NCDC) (2011). http://www7.ncdc.noaa.gov/. Accessed 1 July 2011
- Oksanen JR, Kindt P, Legendre P, O’Hara B, Simpson GL, Solymos P, Stevens MHH, Wagner H (2009) Vegan: community ecology package. R package version 1.15-4. http://CRAN.R-project.org/package=vegan
- O’Neill RV, DeAngelis D, Waide J, Allen TFH (1986) A hierarchical concept of ecosystems. Princeton University Press, PrincetonGoogle Scholar
- Pederson N, D’Amato AW, Dyer JM, Foster DR, Goldblum D, Hart JL, Hessl AE, Iverson LR, Jackson ST, Martin-Benito D, McCarthy BC, McEwan RW, Mladenoff DJ, Parker AJ, Shuman B, Williams JW (2014) Climate remains an important driver of post-European vegetation change in the eastern United States. Glob Chang Biol 21:2105–2110PubMedCrossRefGoogle Scholar
- R Development Core Team (2006) R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
- Reich RB, Frelich L (2001) Temperate deciduous forests. Encyclopaedia of global environmental change, vol 2. Wiley, Chichester, pp 565–569Google Scholar
- Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Database for Missouri. http://soils.usda.gov/. Accessed 1 Jun 2013
- Stoner AMK, Hayhoe K, Yang X (2011) Downscaled climate projections by Katharine Hayhoe. http://cida.usgs.gov/climate/hayhoe_projections.jsp. Accessed 1 Nov 2011
- Thornton PE, Thornton MM, Mayer BW, Wilhelmi N, Wei Y, Cook RB (2012) Daymet: Daily surface weather on a 1 km grid for North America, 1980–2012. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://daymet.ornl.gov/. Accessed 1 July 2011
- Wang WJ, He HS, Thompson III FR, Fraser JS, BB Hanberry, WD Dijak (2015) The importance of succession, harvest, and climate change in determining future forest composition changes in U.S. Central Hardwood Forests. Ecosphere (in press)Google Scholar
- Woudenberg SW, Conkling BL, O’Connell BM, LaPoint EB, Turner JA, Waddell KL 2010. The Forest Inventory and Analysis Database: Database Description and Users Manual Version 4.0 for Phase 2. General Technical Reports RMRS-GTR-245. Fort Collins, CO: United States Department of Agriculture Forest Service, Rocky Mountain Research Station. 336 pGoogle Scholar
- Wullschleger SD, Gunderson CA, Tharp ML, West DC, Post WM (2003) Simulated patterns of forest succession and productivity as a consequence of altered precipitation. In: Hanson PJ, Wullschleger SD (eds) North American temperate deciduous forest responses to changing precipitation regimes. Springer, New York, pp 433–446CrossRefGoogle Scholar