Revision and application of the LINKAGES model to simulate forest growth in central hardwood landscapes in response to climate change
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Global climate change impacts forest growth and methods of modeling those impacts at the landscape scale are needed to forecast future forest species composition change and abundance. Changes in forest landscapes will affect ecosystem processes and services such as succession and disturbance, wildlife habitat, and production of forest products at regional, landscape and global scales.
LINKAGES 2.2 was revised to create LINKAGES 3.0 and used it to evaluate tree species growth potential and total biomass production under alternative climate scenarios. This information is needed to understand species potential under future climate and to parameterize forest landscape models (FLMs) used to evaluate forest succession under climate change.
We simulated total tree biomass and responses of individual tree species in each of the 74 ecological subsections across the central hardwood region of the United States under current climate and projected climate at the end of the century from two general circulation models and two representative greenhouse gas concentration pathways.
Forest composition and abundance varied by ecological subsection with more dramatic changes occurring with greater changes in temperature and precipitation and on soils with lower water holding capacity. Biomass production across the region followed patterns of soil quality.
Linkages 3.0 predicted realistic responses to soil and climate gradients and its application was a useful approach for considering growth potential and maximum growing space under future climates. We suggest Linkages 3.0 can also can used to inform parameter estimates in FLMs such as species establishment and maximum growing space.
KeywordsLINKAGES Climate change Central hardwood region Ecosystem modeling
We thank Stanley Wullschleger and Wilfred Post for help in initializing LINKAGES v2.2 and Stephen Shifley, John Kabrick and Dan Dey for support and knowledge provided about forest ecology and forest soils. We thank Steve Pallardy and Oak Ridge National Laboratory for access to Ameriflux data. This project was funded by the U.S.D.A. Forest Service Northern Research Station, a cooperative agreement with the United States Geological Survey Northeast Climate Science Center, Department of Interior USGS Northeast Climate Science Center graduate and post-graduate fellowships, and the University of Missouri-Columbia. Its contents are solely the responsibility of the authors and do not necessarily represent views of the Northeast Climate Science Center or the USGS. This manuscript is submitted for publication with the understanding that the United States Government is authorized to reproduce and distribute reprints for Governmental purposes.
- Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, Vennetier M, Kitzberger T, Rigling A, Breshears DD, Hogg EH, Gonzalez P, Fensham R, Zhang Z, Castro J, Demidova N, Lim J-H, Allard G, Running SG, Semerci A, Cobb N (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For Ecol Manag 259:660–684CrossRefGoogle Scholar
- Arner SL, Woudenber S, Waters S, Vissage J, MacLean C, Thompson M, Hansen M (2001) National algorithms for determining stocking class, stand size class, and forest type for forest inventory and analysis plots. http://www.fs.fed.us/fmsc/ftp/fvs/docs/gtr/Arner2001.pdf
- Botkin DB (1993) Forest dynamics an ecological model, 1st edn. Oxford University Press, New YorkGoogle Scholar
- Braun EL (1950) Deciduous forests of eastern North America. Blakiston CO., Philadelphia, Toronto, pp 596Google Scholar
- Burns RM, Honkala BH (1990) Silvics of North America: 1. Conifers; 2. Hardwood. Agriculture Handbook 654, USDA Forest Service, Washington, DCGoogle Scholar
- Cleland DT, Freeouf JA, Keys JE, Nowacki GJ, Carpenter C, McNab WH (2007) Ecological subregions: sections of the coterminous United States. USDA forest service, Gen Tech Rep WO-76, Washington DCGoogle Scholar
- Federer CA (1995) BROOK90: a simulation model for evaporation, soil water, and streamflow, Version 3.1. USDA Forest ServiceGoogle Scholar
- Federer CA (2015) The BROOK90 hydrologic model for evapotranspiration, soil water and streamflow. http://www.ecoshift.net/brook/brook90.html
- Fralish JS (2003) The central hardwood forest: its boundaries and physiographic provinces, Proceedings 13th central hardwoods conference. In: Van Sambeek JW, Dawson JO, Ponder F, Lowenstein EF, Fralish JS (eds) USDA Forest Service, North Central Research Station, Gen Tech Rep NC-234, St. PaulGoogle Scholar
- Gustafson EJ, Keene R (2014). Predicting changes in forest composition and dynamics—landscape-scale process models. U.S. Department of Agriculture, Forest Service, Climate Change Resource CenterGoogle Scholar
- Guyette R, Kabrick JM (2000) The legacy and continuity of forest disturbance, succession, and species at the MOFEP sites. In: Shifley SR, Kabrick JM (eds) Proceedings of the second Missouri Ozark forest ecosystem project symposium: post treatment results of the landscape experiment. U.S. Department of Agriculture, Forest Service, GTR NC-227 26-44Google Scholar
- IPCC (2013) Annex III: glossary [Planton S. (ed.)]. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
- Iverson LR, Thompson FR III, Mathews S, Peters M, Prasad A, Dijak WD, Fraser JS, Wang WJ, Hanberry B, He HS, Janowiak M, Butler P, Brandt L, Swanston C (2016) Multi-model comparison on the effects of climate change on tree species in the eastern U.S.: results from an enhanced niche model and process-based ecosystem and landscape models. Landscape. doi: 10.1007/s10980-016-0404-8 Google Scholar
- Kabrick JM, Jensen RG, Shifley SR, Larsen (2002) Woody vegetation following even-aged, uneven-aged and no-harvest treatments on the Missouri Ozarks forest ecosystem project sites. USDA General Technical Report NC-227Google Scholar
- Little EL Jr (1971) Atlas of United States trees, volume 1, conifers and important hardwoods: U.S. Department of Agriculture Miscellaneous Publication 1146, 200 mapsGoogle Scholar
- Little EL Jr (1977) Atlas of United States trees, volume 4, minor Eastern hardwoods: U.S. Department of Agriculture Miscellaneous Publication 1342, 230 mapsGoogle Scholar
- MacCleery DW. (1992) American forests: a history of resilience and recovery. USDA forest Service FS-540Google Scholar
- O’Connell, BM, LaPoint EB, Turner JA, Ridley T, Boyer D, Wilson AM, Waddell KL, Conkling BL (2013) The forest inventory and analysis database: database description and user guide for Phase 2 (version 6.0.2). http://www.fia.fs.fed.us
- Pastor J, Post WM (1985) Development of a linked forest productivity-soil process model. In: ORNL/TM-9519. Oak Ridge National Laboratory, Oak RidgeGoogle Scholar
- Reclamation (2014) http://cmip-pcdmi.llnl.gov/cmip5/availability.html
- Reich PB, Frelich LE (2001) Temperate deciduous forests. Encyclopedia of global change. Macmillan Reference USA, Biology for studentsGoogle Scholar
- Schroeder P, Brown S, Mo JM, Birdsey R, Cieszewski C (1997) Biomass estimation for temperate broadleaf forests of the United States using inventory data. For Sci 42:424–434Google Scholar
- Shifley SR, He HS, Lischke H, Wang W, Jin W, Gustafson EJ, Thompson JR, Thompson FR III, Dijak WD, Wang J (in press) The past and future of modeling forest dynamics: from growth and yield curves to forest landscape models. Landscape EcologyGoogle Scholar
- Thornton PE, Thornton MM, Mayer BW, Wilhelmi N, Wei Y, Deveraconda R, Cook RB (2016) Daymet: daily surface weather data on a 1 km grid for North America, 1980–2012. (http://daymet.ornl.gov/) Accessed 13 Jul 2016, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge
- United States Department of Agriculture, Natural Resources Conservation Service. (2006) Land Resource Regions and Major Land Resource Areas of the United States, the Caribbean, and the Pacific Basin. U.S. Department of Agriculture Handbook 296Google 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
- Yukimoto S, Adachi Y, Hosaka M, Sakami T, Yoshimura H, Hirabara M, Tanaka TY, Shindo E, Tsujino H, Deushi M, Mizuta R, Yabu S, Obata A, Nakano H, Koshiro T, Ose T, Kitoh A (2012) A new global climate model of the meteorological research institute: MRI-CGCM3—model description and basic performance. J Meterol Soc Japn 90A:23–64CrossRefGoogle Scholar