Impacts of disturbance history on forest carbon stocks and fluxes: Merging satellite disturbance mapping with forest inventory data in a carbon cycle model framework

Remote Sensing of Environment

Volumn 151, Issue , 2014, Pages 57-71

  Williams, Christopher A ^a   Collatz, G James ^b   Masek, Jeffrey ^b   Huang, Chengquan ^c   Goward, Samuel N ^c  

^a CLARK UNIVERSITY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Carbon sequestration; Conterminous united states; Forest inventory and analysis; Landsat change detection; Net ecosystem productivity

Indexed keywords

BUDGET CONTROL; CARBON; LAKES;

CARBON SEQUESTRATION; CHANGE DETECTION; CONTERMINOUS UNITED STATES; FOREST INVENTORY AND ANALYSIS; NET ECOSYSTEM PRODUCTIVITIES;

FORESTRY;

CARBON FLUX; FOREST INVENTORY; LANDSAT; NET ECOSYSTEM PRODUCTION; PARAMETERIZATION; REGROWTH; SATELLITE IMAGERY; TIME SERIES;

CARBON; CHELATION; COST CONTROL; ECOSYSTEMS; INVENTORIES; LAKES;

UNITED STATES;

EID: 84906944568     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.10.034     Document Type: Article

References (50)

1. Allen C.D., Macalady A.K., Chenchouin H., Bachelet D., McDowell N., Vennetier M., et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management 2010, 259:660-684.
2. Amiro B.D., Chen J.M., Liu J. Net primary productivity following forest fire for Canadian ecoregions. Canadian Journal of Forest Research 2000, 30:939-947.
3. Bechtold W.A., Patterson P.L. The enhanced Forest Inventory and Analysis program-national sampling design and estimation procedures, SRS GTR-80 2005, USDA Forest Service, Southern Research Station, Asheville, North Carolina, USA.
4. Binford M., Gholz H., Starr G., Martin T. Regional carbon dynamics in the southeastern U.S. coastal plain: Balancing land cover type, timber harvesting, fire, and environmental variation. Journal of Geophysical Research-Biogeosciences 2006, 111:D24S92. 10.1029/2005JD006820.
5. Bradford J.B., Birdsey R.A., Joyce L.A., Ryan M.G. Tree age, disturbance history, and carbon stocks and fluxes in subalpine Rocky Mountain forests. Global Change Biology 2008, 14:2882-2897.
6. Chapin F.S., Woodwell G.M., Randerson J.T., Rastetter E.B., Lovett G.M., Baldocchi D.B., et al. Reconciling carbon-cycle concepts, terminology, and methods. Ecosystems 2006, 9:1041-1050.
7. Cohen W., Harmon M., Wallin D.O., Fiorella M. Two decades of carbon flux from forests of the Pacific Northwest. BioScience 1996, 46:836-844.
8. Cohen W., Spies T., Alig R., Oetter D., Maiersperger T., Fiorella M. Characterizing 23years (1972-95) of stand replacement disturbance in western Oregon forests with Landsat imagery. Ecosystems 2002, 5:122-137.
9. Cohen W., Spies T., Fiorella M. Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, USA. International Journal of Remote Sensing 1995, 16:721-746.
10. Duane M.V., Cohen W.B., Campbell J.L., Hudiburg T., Weyermann D., Turner D.P. Implications of two different field-sampling designs on landsat-based forest age maps used to model carbon in Oregon forests. Forest Science 2010, 65:405-416.
11. Eidenshink J., Schwind B., Brewer K., Zhu Z.-L., Quayle B., Howard S. A project for monitoring trends in burn severity. Fire Ecology 2007, 3:3-21.
12. Ghimire B., Williams C.A., Collatz G.J., Vanderhoof M.E. Fire-induced carbon emissions and regrowth uptake in western U.S. forests: Documenting variation across forest types, fire severity, and climate regions. Journal of Geophysical Research 2012, 117:G03036.
13. Goetz S.J., Bond-Lamberty B., Law B.E., Hicke J.A., Huang C., Houghton R.A., et al. Observations and assessment of forest carbon dynamics following disturbance in North America. Journal of Geophysical Research 2012, 117:G02022.
14. Goward S.N., Huang C., Masek J.G., Cohen W.B., Moisen G.G., Schleeweis K. NACP North American Forest Dynamics Project: Forest Disturbance and Regrowth Data 2012, ORNL DAAC, Oak Ridge, Tennessee, U.S.A., (Available on-line [http://daac.ornl.gov] from). 10.3334/ORNLDAAC/1077.
15. Goward S.N., Masek J.G., Cohen W., Moisen G., Collatz G.J., Healey S., et al. Forest disturbance and North American carbon flux. EOS. Transactions of the American Geophysical Union 2008, 89:105-106.
16. Harmon M.E., Ferrell W.K., Franklin J.F. Effects on carbon storage of conversion of old-growth forests to young forests. Science 1990, 247:699-702.
17. Harmon M.E., Franklin J.F., Swanson F.J., Sollins P., Gregory S.V., Lattin J.D., et al. Ecology of coarse woody debris in temperate ecosystems. Advances in Ecological Research 1986, 15:133-288.
18. Hicke J.A., Asner G.P., Kasischke E.S., French N.H.F., Randerson J.T., Collatz G.J., et al. Postfire response of North American boreal forest net primary productivity analyzed with satellite observations. Global Change Biology 2003, 9:1145-1157.
19. Houghton R.A., Hackler J.L. Changes in terrestrial carbon storage in the United States. 1: The roles of agriculture and forestry. Global Ecology and Biogeography 2000, 9:125-144.
20. Huang C., Goward S.N., Masek J.G., Gao F., Vermote E.F., Thomas N., et al. Development of time series stacks of Landsat images for reconstructing forest disturbance history. International Journal of Digital Earth 2009, 2:195-218.
21. Huang C., Goward S.N., Masek J.G., Thomas N., Zhu Z., Vogelmann J.E. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment 2010, 114:183-198.
22. Huang C., Goward S.N., Schleeweis K., Thomas N., Masek J.G., Zhu Z. Dynamics of national forests assessed using the Landsat record: Case studies in eastern U.S. Remote Sensing of Environment 2009, 113:1430-1442.
23. Huang C., Thomas N., Goward S.N., Masek J.G., Zhu Z., Townshend J., et al. Automated masking of cloud and cloud shadow for forest change analysis. International Journal of Remote Sensing 2010, 31:5464-5549.
24. IPCC Intergovernmental Panel on Climate Change Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories 2000, Institute for Global Environmental Strategies, Japan. J. Penman, D. Kruger, I. Glbally, T. Hiraishi, B. Nyenzi, S. Emmanul, L. Buendia, R. Hoppaus, T. Martinsen, J. Meijer, K. Miwa, K. Tanabe (Eds.).
25. Kennedy R.E., Cohen W.B., Schroeder T.A. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 2007, 110:370-386.
26. Laiho R., Prescott C.E. Decay and nutrient dynamics of coarse woody debris in northern coniferous forests: A synthesis. Canadian Journal of Forest Research 2004, 34:763-777.
27. Law B.E., Turner D., Campbell J.L., Van Tuyl S., Ritts W.D., Cohen W.B. Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA. Global Change Biology 2004, 10:1429-1444.
28. Masek J.G., Collatz G.J. Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling. Journal of Geophysical Research 2006, 111:G01006.
29. Masek J.G., Goward S.N., Kennedy R., Cohen W.B., Moisen G., Schleweiss K., et al. U.S. forest disturbance trends observed with Landsat time series. Ecosystems 2013, 1-18.
30. Masek J.G., Huang C., Wolfe R., Cohen W., Hall F., Kutler J., et al. North American forest disturbance mapped from a decadal Landsat record. Remote Sensing of Environment 2008, 112:2914-2926.
31. Masek J.G., Vermote E.F., Saleous N.E., Wolfe R., Hall F.G., Huemmrich K.F., et al. A Landsat surface reflectance dataset for North America, 1990-2000. IEEE Geoscience and Remote Sensing Letters 2006, 3:68-72.
32. Miles P.D. Forest Inventory EVALIDator web-application version 1.5.105 2013, [Available only on internet: http://apps.fs.fed.us/Evalidator/tmattribute.jsp], St. Paul, MN. F.S. U.S. Department of Agriculture, Northern Research Station (Ed.).
33. Ohmann J.L., Gregory M.J. Predictive mapping of forest composition and structure with direct gradient analysis and nearest-neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forest Research 2002, 32:725-741.
34. Potter C.S., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., et al. Terrestrial ecosystem production - a process model-based on global satellite and surface data. Global Biogeochemical Cycles 1993, 7:811-841.
35. Powell D.S., Faulkner J.K., Darr D.R., Zhiliang Z., MacCleery D.W. Forest resources of the United States, 1992. General Technical Report RM-GTR-234 [Revised, June 1994] 1993, U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO, (132 pp. + map. In).
36. 2. Global Biogeochemical Cycles 1996, 10:585-602.
37. Ruefenacht B., Finco M.V., Nelson M.D., Czaplewski R., Helmer E.H., Blackard J.A., et al. Conterminous U.S. and Alaska forest type mapping using Forest Inventory and Analysis Data. Photogrammetric Engineering and Remote Sensing 2008, 74:1379-1388.
38. Schroeder T.A., Cohen W.B., Yang Z. Patterns of forest regrowth following clearcutting in western Oregon as determined from a Landsat time-series. Forest Ecology and Management 2007, 243:259-273.
39. Scott C.T., Bechtold W.A., Reams G.A., Smith W.D., Westfall J.A., Hansen M.H., et al. Sample-based estimators used by the Forest Inventory and Analysis National Information Management System. The enhanced Forest Inventory and Analysis program-national sampling design and estimation procedures. USDA Forest Service, Southern Research Station, General Technical Report SRS-80 2005, 43-67. (Asheville, NC). W.A. Bechtold, P.L. Patterson (Eds.).
40. Skog K., Nicholson G.A. Carbon cycling through wood products: The role of wood and paper products in carbon sequestration. Forest Products Journal 1998, 48:75-83.
41. Smith J.E., Heath L.S. Identifying influences on model uncertainty: An application using a forest carbon budget model. Environmental Management 2001, 27:253-267.
42. Smith W.B., Miles P.D., Perry C.H., Pugh S.A., Forest Resources of the United States, 2007 Forest Resources of the United States. Gen. Tech. Rep. WO-78 2009, USDA, Forest Service, Washington Office, Washington, DC, (336 pp.).
43. Song C., Woodcock C.E. A regional forest ecosystem carbon budget model: Impacts of forest age structure and land use history. Ecological Modelling 2003, 164:33-47.
44. Taylor J.R. An introduction to error analysis: The study of uncertainties in physical measurements 1997, University Science Books, Sausilito, California. 2nd ed.
45. Thomas N.E., Huang C., Goward S.N., Powell S., Rishmawi K., Schleeweis K., et al. Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks. Remote Sensing of Environment 2011, 115:119-132.
46. Turner D.P., Koerper G.J., Harmon M.E., Lee J.J. A carbon budget for forests of the conterminous United States. Ecological Applications 1995, 5:421-436.
47. Turner D.P., Ritts W.D., Law B.E., Cohen W.B., Yang Z., Hudiburg T., et al. Scaling net ecosystem production and net biome production over a heterogeneous region in the western United States. Biogeosciences 2007, 4:597-612.
48. Vermote E.F., Tanre D., Deuze J.L., Herman M., Morcrette J.J. Second simulation of the satellite signal in the solar spectrum, 6s: An overview. IEEE Geoscience and Remote Sensing Letters 1997, 35:675-686.
49. Williams C.A., Collatz G.J., Masek J.G., Goward S. Carbon consequences of forest disturbance and recovery across the conterminous United States. Global Biogeochemical Cycles 2012, 26:GB1005.
50. Zaehle S., Sitch S., Prentice I.C., Liski J., Cramer W., Erhard M., et al. The importance of age-related decline in forest NPP for modeling regional carbon balances. Ecological Applications 2006, 16:1555-1574.