Modeling carbon storage across a heterogeneous mixed temperate forest: the influence of forest type specificity on regional-scale carbon storage estimates
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Accurately assessing forest carbon storage on a landscape scale is critical to understanding global carbon cycles and the effects of land cover changes on ecological processes. Calculations of regional-scale forest carbon storage that rely on maps of land cover typically reflect only coarse forest classes. How differences in carbon stored by different tree species may affect such assessments is largely unexplored. We examined a range of forest carbon storage models to understand the effects of forest type specificity on carbon storage estimates in the northeastern United States.
Models estimated forest carbon in total aboveground and coarse root biomass based on three levels of forest classification specificity: (1) relative basal area by species, (2) species associations, and (3) broad forest types per IPCC (in: IPCC guidelines for national greenhouse gas inventories, IPCC, Japan, 2006) guidelines.
The specificity of forest type classifications influenced results with generally lower carbon storage estimates resulting from higher-specificity forest classifications. The two most specific models, with mean carbon storage estimates of 103–107 Mg/ha, were most accurate compared to field validation points. These estimates are greater than 2013 field-based U.S. Forest Service estimates (84–90 Mg/ha).
There are many sources of uncertainty in landscape-scale carbon storage assessments. Here we show that improving detail in one of these sources, forest stand composition, increases the accuracy of these assessments, and better reflects carbon storage patterns across heterogeneous landscapes. While more work is needed, particularly to improve stand age maps, this information can inform the interpretation of current carbon storage estimates and improve future estimates in heterogeneous forests.
KeywordsLandscape ecology Carbon modeling Northeastern United States Aboveground biomass Northern forest Landscape modeling Land use Land cover
This study was funded by the U.S. Department of Agriculture National Institute of Food and Agriculture, McIntire-Stennis project (Grant Number 1002440) at the University of Vermont, and by the U.S. Forest Service Northern Research Station, Northern States Research Cooperative.
Compliance with ethical standards
Conflicts of interest
The authors declare that they have no conflicts of interest.
- Bishop J, Pagiola S (2012) Selling forest environmental services: market-based mechanisms for conservation and development. Earthscan Publications Limited, SterlingGoogle Scholar
- Bormann FH, Likens GE (1979a) Catastrophic disturbance and the steady state in Northern Hardwood Forests: a new look at the role of disturbance in the development of forest ecosystems suggests important implications for land-use policies. Am Sci 67:660–669Google Scholar
- Forest Ecosystem Monitoring Cooperative (2015) Tree health and physiology measurements. Data set. https://www.uvm.edu/femc/data/archive/project/forest-health-monitoring/dataset/tree-health-and-physiology-measurements
- U.S. Geological Survey (2015) USGS 3D elevation program: the national mapGoogle Scholar
- Homer CG, Dewitz JA, Yang L, Jin S, Danielson P, Xian G, Coulston J, Herold ND, Wickham JK, Megown JD (2015) Completion of the 2011 national land cover database for the conterminous United States-representing a decade of land cover change information. Photogramm Eng Remote Sens 81(5):345–354Google Scholar
- IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories. IPCC, JapanGoogle Scholar
- Jenkins JC, Chojnacky DC, Heath LS, Birdsey RA (2003) National-scale biomass estimators for United States tree species. For Sci 49:12–35Google Scholar
- Kellndorfer J, Walker W, Kirsch K, Fiske G, Bishop J, LaPoint L, Hoppus M, Westfall J (2013) NACP aboveground biomass and carbon baseline data, V. 2 (NBCD 2000), 2000. Data setGoogle Scholar
- Olson JS, Watts JA, Allison LJ (1983) Carbon in live vegetation of major world ecosystems. Oak Ridge National Lab, Oak RidgeGoogle Scholar
- Pan Y, Birdsey RA, Fang J, Houghton R, Kauppi PE, Kurz WA, Phillips OL, Shvidenko A, Lewis SL, Canadell JG, Ciais P, Jackson RB, Pacala SW, McGuire AD, Piao S, Rautiainen A, Sitch S, Hayes D (2011a) A large and persistent carbon sink in the world’s forests. Science 333:988–993CrossRefPubMedGoogle Scholar
- Pan Y, Chen JM, Birdsey R, McCullough K, He L, Deng F (2012) NACP forest age maps at 1-km resolution for Canada (2004) and the USA. (2006). Data setGoogle Scholar
- Saatchi SS, Harris NL, Brown S, Lefsky M, Mitchard ETA, Salas W, Zutta BR, Buermann W, Lewis SL, Hagen S, Petrova S, White L, Silman M, Morel A (2011) Benchmark map of forest carbon stocks in tropical regions across three continents. Proc Natl Acad Sci USA 108:9899–9904CrossRefPubMedPubMedCentralGoogle Scholar
- Sharp R, Tallis HT, Ricketts T, Guerry AD, Wood SA, Chaplin-Kramer R, Nelson E, Ennaanay D, Wolny S, Olwero N, Vigerstol K, Pennington D, Mendoza G, Aukema J, Foster J, Forrest J, Cameron D, Arkema K, Lonsdorf E, Kennedy C, Verutes G, Kim CK, Guannel G, Papenfus M, Toft J, Marsik M, Bernhardt J, Griffin R, Glowinski K, Chaumont N, Perelman A, Mandle LLM, Hamel P, Vogl AL, Rogers L, Bierbower W (2015) InVEST 2.6.0 user’s guide (2015) InVEST 2.6.0 user’s guideGoogle Scholar
- Smith JE, Heath LS, Skog KE, Birdsey RA (2006) Methods for calculating forest ecosystem and harvested carbon with standard estimates for forest types of the United States. USDA Forest Service, Washington, DCGoogle Scholar
- Soares-Filho BS, Rodrigues H, Costa WLS (2009) Modeling environmental dynamics with Dinamica EGO. Centro de Sensoriamento Remoto, Universidade Federal de Minas Gerais, Belo HorizonteGoogle Scholar
- U.S. Forest Service (2016) Forest inventory and analysis national core field guide. U.S. Forest Service, Washington, DCGoogle Scholar
- U.S. Forest Service (2017) Forest inventory and analysis database. U.S. Department of Agriculture, Forest Service, Northern Research Station, St. PaulGoogle Scholar
- Widmann RH (2015) Forests of New York, 2014. U.S. Forest Service, Northern Research Station, Newton SquareGoogle Scholar
- Woodall CW, Coulston JW, Domke GM, Walters BF, Wear DN, Smith JE, Andersen H, Clough BJ, Cohen WB, Griffith DM, Hagen SC, Hanou IS, Nichols MC, Perry CH, Russell MB, Westfall JA, Wilson BT (2015) The carbon accounting framework: stocks and stock change, 1990–2016. U.S. Forest Service, Washington, DCCrossRefGoogle Scholar
- Zhang F, Chen JM, Pan Y, Birdsey RA, Shen S, Ju W, He L (2012) Attributing carbon changes in conterminous U.S. forests to disturbance and non-disturbance factors from 1901 to 2010. J Geophys Res 117:G2Google Scholar