A carbon balance model for the great dismal swamp ecosystem

Carbon Balance and Management

Volumn 12, Issue 1, 2017, Pages

  Sleeter, Rachel ^a   Sleeter, Benjamin M ^a   Williams, Brianna ^a   Hogan, Dianna ^a   Hawbaker, Todd ^a   Zhu, Zhiliang ^a  

^a U S GEOLOGICAL SURVEY   (United States)

Author keywords

Carbon sequestration; Great dismal swamp ecosystem; Lateral west fire; LUCAS model; Net ecosystem carbon balance; Peatland restoration

Indexed keywords

ACCUMULATION RATE; CARBON BALANCE; CARBON SEQUESTRATION; ENVIRONMENTAL DISTURBANCE; ENVIRONMENTAL RESTORATION; LAND USE; NET ECOSYSTEM EXCHANGE; PEATLAND; REFUGE; SOURCE-SINK DYNAMICS; SWAMP; TRADE-OFF; WILDFIRE;

GREAT DISMAL SWAMP; UNITED STATES;

CHAMAECYPARIS THYOIDES;

EID: 85010754120     PISSN: None     EISSN: 17500680     Source Type: Journal    
DOI: 10.1186/s13021-017-0070-4     Document Type: Article

References (66)

1. Heath L, Smith J, Woodall C, Azuma D, Waddell K. Carbon stocks on forestland of the United States, with emphasis on USDA Forest Service ownership. Ecosphere. 2011;2(1):1-21. doi: 10.1890/ES10-00126.1.
2. Dilling L, Birdsey R, Pan Y. Opportunities and challenges for carbon management on US public lands. In: Brown D, Robinson D, French N, Reed B, editors. Land use and the carbon cycle: advances in integrated science, management, and policy. Cambridge: University Press; 2013. p. 455-76.
3. Failey E, Dilling L. Carbon stewardship: land management decisions and the potential for carbon sequestration in Colorado, USA. Environ Res Lett. 2010;5(2):1-8. doi: 10.1088/1748-9326/5/2/024005.
4. Federal Register. Executive Order no. 13514-Federal leadership in environmental, energy, and economic performance. Fed Reg. 2009;74(194):52177-52178.
5. Energy Independence Security Act of 2007, Pub. L. 110-140. 121 STAT. 1491-1801. https://www.gpo.gov/fdsys/pkg/PLAW-110publ140/html/PLAW-110publ140.htm/. Accessed 19 Dec 2007.
6. California Global Warming Solutions Act of 2006. Cal Assemb B 32 (2006). Chapter 488 (Cal. Stat. 2006). https://www.arb.ca.gov/cc/ab32/ab32.htm.
7. Evans T, Robinson D, Schmitt-Harsh M. Limitations, challenges, and solutions to integrating carbon dynamics with land-use models. In: Brown D, Robinson D, French N, Reed B, editors. Land use and the carbon cycle: advances in integrated science, management, and policy. Cambridge: Cambridge University Press; 2013. p. 178-208.
8. Parton W, Anderson D, Cole C, Stewart J. Simulation of soil organic matter formation and mineralization in semiarid ecosystems. In: Lowrance R, Todd R, Asmussen L, Lenard R, editors. Nutrient cycling in agricultural ecosystems (Special Publ. No. 23). Georgia: Nutrient cycling in agricultural ecosystems, The University of Georgia; 1983.
9. Running S, Hunt R. Generalization of a forest ecosystem process model for other biomes, BIOME BGC, and an application for global-scale models. In: Ehleringer J, Field C, editors. Scaling physiological processes: Leaf to globe. New York: Academic Press; 1993. p. 141-58.
10. Waddell P. UrbanSim: Modeling urban development for land use, transportation and environmental planning. J Am Plann Assoc. 2002;68(3):297-314.
11. Minar N, Burkhart R, Langton C, Askenazi M. The Swarm simulation system: a toolkit for building multi-agent simulations. Working Paper 96-06-042. Santa Fe: Santa Fe Institute; 1996. p. 1-11.
12. Clarke K, Gaydos L, Hoppen S. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environ Plann B Plann Des. 1997;24:247-61.
13. Verburg P, Soepboer W, Veldkamp A, Limpiada R, Espaldon V, Mastura S. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ Manage. 2002;30(3):391-405. doi: 10.1007/s00267-002-2630-x.
14. ESSA Technologies Ltd. Vegetation dynamics development tool user guide, version 6.0. Prepared by ESSA Technologies Ltd: Vancouver; 2007. p. 196.
15. Daniel C, Frid L, Predicting landscape vegetation dynamics using state-and-transition simulation models. In: Kerns B, Shlisky A, Daniel C, editors. Proceedings of the first landscape state-and-transition simulation modeling conference; 2011 Jun 14-16; Portland. Oregon: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2012. p. 5-22.
16. Keane R, Holsinger L, Pratt S. Simulating historical landscape dynamics using the landscape fire succession model LANDSUM version 4.0 (Gen Tech Rep RMRS-GTR-171CD). USDA Forest Service, Rocky Mountain Research Station: Fort Collins; 2006. p. 73.
17. Turner M. Spatial simulation of landscape changes in Georgia: a comparison of 3 transition models. Landscape Ecol. 1987;1:29-36.
18. Daniel C, Frid L, Sleeter B, Fortin M. State-and-transition simulation models: a framework for forecasting landscape change. Methods Ecol Evol. 2016. doi: 10.1111/2041-210X.12597.
19. Apex Resource Management Solutions, 2016. State-and-transition simulation models. www.apexrms.com/stsm. Accessed 15 Jan 2016.
20. Sleeter B, Liu J, Daniel C, Frid L, Zhu Z. Using a state-and-transition simulation model and a stock and flow model to project changes in ecosystem carbon in the Sierra Nevada Mountains, California. AIMS Environ Sci. 2015;2(3):577-606. doi: 10.3934/environsci.2015.3.577.
21. Fleming G, Coulling P, Walton D, McCoy K, Parrish M. The natural communities of Virginia: classification of ecological community groups. First approximation. Natural Heritage Technical Report 01-1. Richmond: Virginia Department of Conservation and Recreation, Division of Natural Heritage. Unpublished report; 2001.
22. US Department of Agriculture, Natural Resource Conservation Service. Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys, 2nd edition. Washington: US Government Printing Office; 1999. pp. 436-886.
23. Hawbaker T, Reddy A, Zhu Z, Wurster F, Duberstein J. Quantifying above and belowground carbon loss following wildfire in peatlands using repeated lidar measurements. Proceedings of the 15th International Peat Congress. Sarawak, Malaysia. 2016.
24. Laderman A. The ecology of the Atlantic white cedar wetlands: a community profile (Biological Report). USGS Nat Wetl Res Center. 1989;85(21):1-114.
25. Day F. Tree growth rates in the periodically flooded Great Dismal Swamp. Castanea. 1985;50(2):89-95.
26. US Department of Agriculture, Forest Service. Silvics of forest trees of the United States. Agriculture Handbook 271. Washington: US Government Printing Office; 1965. p. 762.
27. Day F. Litter decomposition rates in the seasonally flooded Great Dismal Swamp. Ecolology. 1982;63(3):670-8.
28. Otte L. Origin, development and maintenance of the pocosin wetlands of NC. Raleigh: Department of Natural Resources and Community Development; 1982. p. 51.
29. LANDFIRE: LANDFIRE National Vegetation Dynamics Models, US Department of the Interior, Geological Survey. 2007. http://www.landfire.gov/national_veg_models_op2.php. Accessed 28 Nov 2014.
30. Hall T, Penfound W. Cypress-gum communities in the Blue Girth swamp near Selma, Alabama. Ecol. 1943; 208-217.
31. Dabel C, Day F. Structural comparisons of four plant communities in the Great Dismal Swamp. Virginia. J Torrey Bot Soc. 1977;1:352-60.
32. Montague K, Day F. Belowground biomass of four plant communities of the Great Dismal Swamp, Virginia. Am Midl Nat. 1980;1:83-7.
33. Little E. Checklist of United States trees (native and naturalized). Washington: US Department of Agriculture, Agriculture Handbook 541, US Government Printing Office; 1979. p. 375.
34. Hutnick R, Yawney H. Silvical characteristics of red maple (Acer rubrum). Washington: Department of Agriculture, Forest Service, Station Paper 142, US Government Printing Office; 1961. p. 18.
35. Schumacher F, Coile T. Growth and yields of natural stands of the southern pines. Durham: T. S. Coile Inc.; 1960. p. 115.
36. MTBS Data Access: Fire Level Geospatial Data. US Department of Agriculture, Forest Service and US Department of Interior, Geological Survey. 2014. http://mtbs.gov/data/individualfiredata.html/. Accessed 10 Sept 2015.
37. U. S Department of Interior, Fish and Wildlife Service: Field Notes Entry. 2004. https://www.fws.gov/fieldnotes/regmap.cfm?arskey=13827/. Accessed 8 Jun 2016.
38. IPCC. Guidelines for national greenhouse gas inventories-volume 4: agriculture, forestry, and other land use (AFOLU). 2006. http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html. Accessed 28 Nov 2015.
39. Dabel C, Day F. Phytomass budgets for the Great Dismal Swamp ecosystem. Virginia. J Sci. 1978;29:220-4.
40. Day F. Litter accumulation in four plant communities in the Great Dismal Swamp, Virginia. Am Midl Nat. 1979;102:281-9.
41. Symbula M, Day F. Evaluation of two methods for estimating belowground production in a freshwater swamp forest. Am Midl Nat. 1988;120:405-15.
42. Gomez M, Day F. Litter nutrient content and production in the Great Dismal Swamp. Amer J Bot. 1982;69:1314-21.
43. Megonigal P, Day F. Organic matter dynamics in four seasonally flooded forest communities of the dismal swamp. Am J Bot. 1988;75(9):1334-43.
44. Waring R, Schleiser W. Forest Ecosystems. New York: Academic Press; 1985.
45. Armentano T, Menges E. Patterns of change in the carbon balance of organic soil-wetlands of the temperate zone. J Ecol. 1986;74:755-74.
46. Clymo R, Turunen J, Tolonen K. Carbon accumulation in peatland. Oikos. 1998;81(2):368-88.
47. Richardson S, Evans R, Carr D. Pocosins: an ecosystem in transition. In: Richardson C, editor. Pocosin Wetlands. Hutchinson-Ross, Stroudsburg: Pennsylvania; 1981. p. 3-19.
48. 4) in southern peatlands. Soil Biol Biochem. 1992;24(11):1089-99.
49. Penman J, Gytarsky M, Hiraishi T, Krug T, Kruger D, Pipatti R, Buendia L, Miwa K, Ngara T, Tanabe K, Wagner F. Intergovernmental panel on climate change. Good practice guidance for land use, land-use change and forestry. Hayama: Institute for Global Environmental Strategies (IGES) for the Intergovernmental Panel on Climate Change; 2003. http://www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_contents.html. Accessed 28 Nov 2015.
50. Atkinson R. Final report: atlantic white cedar swamp restoration: monitoring ecosystem services and self-maintenance. Grant number R825799, US EPA National Center for Environmental Research. Newport News: Christopher Newport University; 2001. https://cfpub.epa.gov/ncer_abstracts/index.cfm/fuseaction/display.abstractDetail/abstract/184. Accessed 15 July 2015.
51. DeBerry J, Atkinson R. Aboveground forest biomass and litter production patterns in atlantic white cedar swamps of differing hydroperiods. Southeastern Nat. 2014;13(4):673-90.
52. 4) in southern peatlands. Soil Biol Biochem. 1992;24(11):1089-99.
53. Duttry P, Atkinson R, Whiting G. Soil respiration response to water levels of soils from Atlantic white cedar peatlands in Virginia and North Carolina. In: Atkinson R, Belcher R, Brown D, Perry J, editors. Proceedings Atlantic white cedar restoration ecology and management symposium. Newport News: Christopher Newport University; 2003. p. 165-74.
54. Gorham E. Northern peatlands: role in the carbon cycle and probable responses to climatic warming. Ecol Appl. 1991;1(2):182-95.
55. Kivinen E, Pakarinen P. Peatland areas and the proportion of virgin peatland in different countries. In: Proceedings of the Sixth Annual Peat Congress, Duluth, Minnesota. 1980. p. 52-54.
56. Belyea LR, Malmer N. Carbon sequestration in peatland: patterns and mechanisms of response to climate change. Glob Change Biol. 2004;10:1043-52.
57. Hribljan J, Cooper D, Sueltenfuss J, Wolf E, Heckman K, Lilleskov E, et al. Carbon storage and long-term rate of accumulation in high-altitude Andean peatlands of Bolivia. Mires Peat. 2015;15(12):1-14.
58. Holmquist J. Holocene peatland carbon accumulation, ecology, and hydrology in the Canadian James Bay Lowlands [dissertation]. Los Angeles: University of California Los Angeles; 2013.
59. Bridgham S, Megonigal P, Keller J, Bliss N, Trettin C. The carbon balance of North American wetlands. Wetlands. 2006;26(4):889-916.
60. McDowell L, Stephens J, Stewart E. Radiocarbon chronology of the Florida everglades peat. Soil Sci. 1969;33:743-5.
61. Van Deusen P, Heath L. COLE web applications suite. NCASI and USDA Forest Service, Northern Research Station. http://www.ncasi2.org/COLE/. Accessed 13 Aug 2015.
62. Hawbaker T. Light detection and ranging-based measures of mixed hardwood forest structure. For Sci. 2010;56(3):313-26.
63. Reddy A, Hawbaker T, Wurster F, Zhu Z, Ward S, Newcomb D, Murray R. Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR. Remote Sens Environ. 2015;170:306-16. doi: 10.1016/j.rse.2015.09.017.
64. Jenkins J, Chojnacky D, Heath L, Birdsey R. National-scale biomass estimators for United States tree species. For Sci. 2003;49(1):12-35.
65. Cairns M, Brown S, Helmer E, Baumgardner G. Root biomass allocation in the world's upland forests. Oecologia. 1997;111:1-11.
66. Sleeter R. Historic simulation of net ecosystem carbon balance for the great dismal swamp. US Geol Surv data release. 2017. doi: 10.5066/F7KW5D6D.